Technology and Health Care - Volume Pre-press, issue Pre-press

Authors: Zhong, Fengxing | Yin, Xiuping | Liu, Xinxin | Zhang, Qiming

Article Type: Research Article

Abstract: BACKGROUND: Understanding how pharmaceutical formulas target specific illnesses is crucial for developing effective treatments. Enriching ion channel data is a critical first step in comprehending a formula’s mechanism of action. OBJECTIVE: This study aims to explore the effective disease spectrum of the Qi Yu granule formula through network pharmacology analysis and backtracking, and analyze its potential curative effects on liver and spleen system diseases, particularly depression and breast cancer. METHODS: Using pharmacological tools and database analysis, the ion channel data of the formula’s components were investigated. The effective disease spectrum was determined, and …diseases related to liver and gallbladder, liver depression, and spleen deficiency were identified. Network pharmacology analysis was conducted to backtrack diseases, target gene proteins, and drug compositions. The extraction technology of volatile oil from medicinal herbs was experimentally studied to optimize the preparation process. RESULTS: The effective disease spectrum analysis identified potential curative effects of the Qi Yu granule formula on various diseases, including breast cancer. Backtracking revealed relationships between diseases, target gene proteins, and drug compositions. Experimental studies on volatile oil extraction provided insights into optimizing the preparation process. CONCLUSION: The study underscores the potential therapeutic benefits of the Qi Yu granule formula for liver and spleen system diseases. By integrating network pharmacology analysis and experimental research, this study offers valuable insights into the formulation and efficacy of the Qi Yu granules, paving the way for further exploration and optimization of TCM formulations. Show more

Keywords: Qi Yu granules, liver stagnation, edible plants, network pharmacology, spleen deficiency syndrome

DOI: 10.3233/THC-232034

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-18, 2024

Authors: Li, Jun | Li, Rong

Article Type: Research Article

Abstract: BACKGROUND: Double rocking jump rope training can effectively enhance physical recovery, adaptability to exercise load, and lower limb muscle strength of badminton players in sports colleges, thus offering valuable insights for improving training methods in sports colleges and universities. OBJECTIVE: To investigate the effect of double rocking jump rope training on the lower limb muscle strength of badminton players specializing in badminton in sports colleges. METHODS: An experimental study was conducted through a ten-week teaching intervention experiment with badminton players. Relevant heart rate indexes and badminton related lower limb muscle strength indexes were …measured before and after the experiment. The data of the measured relevant indexes were statistically and analytically analyzed. At the end of the experiment, the physical recovery level and the heart’s adaptability to the exercise load of the control group were improved, and the lower limb muscle strength test indexes and sports performance were better than before the experiment. In the experimental group, badminton players’ physical function, anaerobic metabolism of the body and other aspects also improved. RESULTS: The physical function of the experimental group of badminton players, the energy supply capacity of the body anaerobic metabolism and aerobic work capacity all have an enhancement effect, enabling badminton players to adapt to large exercise loads quickly and improve the recovery rate of physical fitness. CONCLUSION: The introduction of double rocking jump rope into badminton training classes in sports colleges and universities as a means of lower limb muscle strength training is conducive to improving the level of lower limb muscle strength of special badminton players, enriching the teaching and training means of lower limb muscle strength in sports colleges and universities, and broadening the research field of lower limb muscle strength in badminton in sports colleges and universities. Show more

Keywords: Double rocking jump rope, badminton, lower limb muscle strength, AdaBoost algorithm optimization

DOI: 10.3233/THC-231868

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-18, 2024

Authors: Li, Chenxi | Li, Jian | Lu, Yao | Hou, Jiahui | Zhi, Zhaoyu | Zhao, Baocun | Zhang, Xiumei

Article Type: Research Article

Abstract: BACKGROUND: Volumetric modulated arc therapy (VMAT) guided by ultrasound is a novel radiation therapy technique that facilitates the delineation of the tumor target area under image guidance, enhancing the precision of radiation therapy and maximizing the protection of surrounding tissues. OBJECTIVE: The objective of this paper is to investigate the effectiveness of VMAT under ultrasonic guidance for cervical cancer patients and its impact on radiotherapy dosage and prognosis. METHODS: A retrospective analysis encompassed 128 instances of cervical cancer patients who were admitted to our medical facility between April 2019 and April 2021. The …patients were categorized into an observation cohort and a control cohort, depending on variations in treatment modalities post-admission. The control group underwent conventional radiotherapy, whereas the observation group received VMAT guided by ultrasound. Clinical efficacy, average radiation dosages (in the radiotherapy target area, rectum, and bladder), radiotherapy-related toxicities during treatment, and one-year survival rates were compared between the two groups. Additionally, variances in pre- and post-treatment serum levels of squamous cell carcinoma antigen (SCC-Ag), carcinoembryonic antigen (CEA), and carbohydrate antigen 724 (CA724) were subjected to assessment. RESULTS: When compared to the control group (64.52%), the observation cohort’s comprehensive effectiveness rate was considerably greater (80.30%). The observation group saw lower average radiation exposures and a reduction in the post-treatment concentrations of CEA, SCC-Ag, and CA724. The overall incidence of adverse effects from radiation treatment also declined. The observation group had a greater one-year survival rate (90.48%) than the control group (73.33%). When comparing the observation cohort to the control group, Kaplan-Meier survival analysis showed a significantly higher one-year survival rate (Log-Rank = 6.530, P = 0.011). CONCLUSION: VMAT guided by ultrasound for patients with cervical cancer demonstrates promising short- and long-term treatment outcomes. It also leads to improvements in serum CEA, SCC-Ag, and CA724 levels, as well as reductions in the average radiation dosages to the radiotherapy target area, rectum, and bladder. This approach warrants attention from clinicians in clinical practice. Show more

Keywords: Cervical cancer, intensity-modulated radiation therapy, ultrasound, radiation dosage, prognosis

DOI: 10.3233/THC-231977

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-12, 2024

Authors: S.S., Akilan | Devprasad, Kayathri Devi | J, Raja Sekar

Article Type: Research Article

Abstract: BACKGROUND: Wireless Body Area Networks (WBANs) are integral to modern healthcare systems, providing continuous health monitoring and real-time data transmission. The sensitivity of medical data being transmitted makes security a significant concern in WBANs. OBJECTIVE: This study explores the application of the Elliptic Curve Cryptography (ECC)-based Diffie-Hellman Key Exchange (ECDH) algorithm to enhance security within WBANs. METHOD: The study investigates the suitability of ECC for this context and evaluates the performance and security implications of implementing ECDH in WBANs. RESULTS: The findings reveal that ECDH provides a robust and computationally …efficient solution for secure key exchange in WBANs, addressing inherent vulnerabilities. CONCLUSION: The adoption of ECC-based ECDH is poised to bolster data confidentiality and integrity in WBANs, promoting trust and widespread use of these networks in healthcare applications. This research contributes to the growing body of knowledge regarding security measures in WBANs and opens new avenues for the secure transmission of sensitive medical information. Show more

Keywords: Wireless Body Area Networks (WBANs), security, Elliptic Curve Cryptography (ECC), Diffie-Hellman key exchange (DHE), ECDH

DOI: 10.3233/THC-231614

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-20, 2024

Authors: Hao, Huawen | Qiao, Wei | Wu, Yaguang

Article Type: Research Article

Abstract: BACKGROUND: The rapid growth of cities has been accompanied by problems with urban air quality, making air pollution challenging to manage. In this situation, people focus on indoor building materials to improve air quality. OBJECTIVE: In this paper, a novel bola-type surfactant was synthesized and used as a template, using ethyl orthosilicate and sodium meta-aluminate as the silicon and aluminum source, in the ratio of n (NaOH ): n (NaAIO2 ): n (SiO2 ): n (SDA ): n (H2 O) as 30:2.5:120:5:4800. …METHODS: Hydrothermal preparation of ZSM-5 molecular sieves with a nanosheet structure (H-ZSM-5) was accomplished. The manufactured lamellar ZSM-5 molecular sieves were examined using X-ray diffraction, transmission electron microscopy, scanning electron microscopy, and adsorption and desorption techniques. RESULTS: Traditional microporous ZSM-5 had a considerably lower static adsorption of formaldehyde molecules. The findings demonstrated that the nano-lamellar H-ZSM-5 molecular sieve can purify and eliminate larger molecular VOCs inside because it has the ability to adsorb larger molecular diameter VOCs. Additionally, the effectiveness of the adsorption was assessed using toluene vapour molecules with higher molecular diameters. CONCLUSION: The findings demonstrate that the nanosheet H-ZSM-5 molecular sieve can remove bigger molecule VOCs from indoor air and can be utilised to purify indoor spaces. This study offers a fresh approach to indoor environmental cleanup by demonstrating the capability of nano-lamellar H-ZSM-5 molecular sieves for molecular adsorption. Show more

Keywords: Bola-type surfactant, H-ZSM-5, formaldehyde, toluene, adsorption

DOI: 10.3233/THC-240187

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-15, 2024

Authors: Chen, Pan | Wang, Xiaojie | Yan, Pijun | Jiang, Chunxia | Lei, Yi | Miao, Ying

Article Type: Research Article

Abstract: BACKGROUND: Dysfunctions in metabolism and endocrine systems are outcomes of disruptions in human physiological processes, often leading to disease onset. External factors can hinder the human body’s innate capacity for self-regulation and healing, particularly when immune responses are compromised, allowing these factors to interfere with normal bodily functions directly. OBJECTIVE: To explore the effect of uric acid expression water in blood on the occurrence of atrial fibrillation in patients with hyperthyroidism, the expression level of uric acid in the blood and other physiological indexes were compared between patients with no symptoms of atrial fibrillation and patients …with hyperthyroidism with symptoms of atrial fibrillation, to find the correlation between them. METHODS: A group of 112 hyperthyroidism patients who were admitted to our hospital from September 2019 to March 2020 were chosen and split into two groups. The control group consisted of 56 individuals (21 men and 35 women) aged between 16 and 86 years old, with an average age of 46.23 years (± 7.63). The observation group consisted of 56 individuals (24 males and 32 females) between 15 and 79 years, with an average age of 53.44 years (± 8.91). RESULTS: In the patients who were not treated with drugs before hospitalization the disease course and symptoms varied. The patients’ clinical medical and demographic data were recorded and the patients’ physiological indexes were obtained through blood tests and analysis. The differences between the two groups were analyzed by renal function, blood lipid index, thyroid function, and cardiac ultrasound, and these influencing factors were analyzed by regression analysis. The research adhered to ethical norms and ensured clear data presentation by using a rigorous technique to compare uric acid levels and physiological indicators among various patient groups. CONCLUSION: The study concentrated on the validation, repeatability, and contextual interpretation of data to provide a robust and rigorously scientific comparison. The most common is the increase of uric acid in the blood, which can induce other diseases, and atrial fibrillation is one of the most common diseases of cardiovascular diseases. Show more

Keywords: Uric acid level, serum, atrial fibrillation, hyperthyroidism, endocrine

DOI: 10.3233/THC-232028

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-13, 2024

Authors: Wu, Xiaoqian | Chen, Cheng | Quan, Lili

Article Type: Research Article

Abstract: BACKGROUND: Traditional methods have the limitations of low accuracy and inconvenient operation in analyzing students’ abnormal behavior. Hence, a more intuitive, flexible, and user-friendly visualization tool is needed to help better understand students’ behavior data. OBJECTIVE: In this study a visual analysis and interactive interface of students’ abnormal behavior based on a clustering algorithm were examined and designed. METHODS: Firstly, this paper discusses the development of traditional methods for analyzing students’ abnormal behavior and visualization technology and discusses its limitations. Then, the K-means clustering algorithm is selected as the solution to find potential …abnormal patterns and groups from students’ behaviors. By collecting a large number of students’ behavior data and preprocessing them to extract relevant features, a K-means clustering algorithm is applied to cluster the data and obtain the clustering results of students’ abnormal behaviors. To visually display the clustering results and help users analyze students’ abnormal behaviors, a visual analysis method and an interactive interface are designed to present the clustering results to users. The interactive functions are provided, such as screening, zooming in and out, and correlation analysis, to support users’ in-depth exploration and analysis of data. Finally, the experimental evaluation is carried out, and the effectiveness and practicability of the proposed method are verified by using big data to obtain real student behavior data. RESULTS: The experimental results show that this method can accurately detect and visualize students’ abnormal behaviors and provide intuitive analysis results. CONCLUSION: This paper makes full use of the advantages of big data to understand students’ behavior patterns more comprehensively and provides a new solution for students’ management and behavior analysis in the field of education. Future research can further expand and improve this method to adapt to more complex students’ behavior data and needs. Show more

Keywords: Clustering algorithm, student behavior, big data, visual analysis, interactive interface

DOI: 10.3233/THC-232054

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-17, 2024

Authors: Wen, Yi | Li, Xinyan | Shu, Wan | Zhang, Hong | Shen, Zhefan | Huang, Zhaoxia

Article Type: Review Article

Abstract: BACKGROUND: About 186 million people in the world suffer from infertility, and there is one infertile couple in every 4–6 couples. It is thus essential to find effective psychological treatment. OBJECTIVE: To conduct a systematic review of previous meta-analyses on mindfulness-based therapy outcomes in infertile female patients and a meta-analysis of studies nested within these meta-analyses. METHODS: Randomized controlled trials (RCTS) on the efficacy of mindset-based interventions in infertile female patients were retrieved from PubMed, The Cochrane Library, Embase, Web of Science, CNI, VIP Database, and Wanfang Database until March 1, 2023. Two …researchers screened the literature, extracted data according to inclusion and exclusion criteria, and conducted quality control according to Cochrane Handbook 5.1.0. When there was ambiguity, a third party determined it. The meta-analysis was performed using RevMan 5.3 software. RESULT: 14 randomized controlled trials involving 1784 patients were included. Meta-analysis showed that compared with conventional care, mindfulness-based intervention can effectively relieve anxiety in female infertility patients [SMD = - 2.25, 95% CI (- 2.90, - 1.60), P < 0.00001], depression [SMD = - 2.25, 95% CI (- 2.99, - 1.52), P < 0.00001], perceived stress [SMD = - 0.99, 95% CI (- 1.27, - 0.71), P < 0.00001], improved quality of life, physiological function [MD = 14.03, 95% CI (11.98, 16.07), P < 0.00001], Role limitations due to physical problems [MD = 11.30, 95% CI (5.71, 16.90), P < 0.0001], vitality [MD = 11.55, 95% CI (9.46, 13.65), P < 0.00001], mental health [MD = 17.32, 95% CI (15.29, 19.35), P < 0.00001]. CONCLUSION: Existing evidence shows that mindfulness therapy can effectively relieve the anxiety and depression of infertile women, reduce the level of stress, and improve the quality of life and sleep quality. However, due to the limited quantity and quality of the literature, multi-center, large-sample, and high-quality randomized controlled studies should be conducted in the future. Show more

Keywords: Mindfulness-based therapy, infertility, women, meta-analysis, evidence-based nursing, randomized controlled trial (RCTS), RF dimension

DOI: 10.3233/THC-240174

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-15, 2024

Authors: Tigga, Neha Prerna | Garg, Shruti | Goyal, Nishant | Raj, Justin | Das, Basudeb

Article Type: Research Article

Abstract: BACKGROUND: Brain variations are responsible for developmental impairments, including autism spectrum disorder (ASD). EEG signals efficiently detect neurological conditions by revealing crucial information about brain function abnormalities. OBJECTIVE: This study aims to utilize EEG data collected from both autistic and typically developing children to investigate the potential of a Graph Convolutional Neural Network (GCNN) in predicting ASD based on neurological abnormalities revealed through EEG signals. METHODS: In this study, EEG data were gathered from eight autistic children and eight typically developing children diagnosed using the Childhood Autism Rating Scale at the Central Institute …of Psychiatry, Ranchi. EEG recording was done using a HydroCel GSN with 257 channels, and 71 channels with 10-10 international equivalents were utilized. Electrodes were divided into 12 brain regions. A GCNN was introduced for ASD prediction, preceded by autoregressive and spectral feature extraction. RESULTS: The anterior-frontal brain region, crucial for cognitive functions like emotion, memory, and social interaction, proved most predictive of ASD, achieving 87.07% accuracy. This underscores the suitability of the GCNN method for EEG-based ASD detection. CONCLUSION: The detailed dataset collected enhances understanding of the neurological basis of ASD, benefiting healthcare practitioners involved in ASD diagnosis. Show more

Keywords: Autism, graph convolution neural network, electroencephalogram, deep learning, brain region

DOI: 10.3233/THC-240550

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-25, 2024

Authors: Liang, Han | Li, Hao | Xia, Nan | Chen, Jingjing | Gao, Linlin | Liu, Hao | Lyu, Ping | Guo, Xiaolin | Yang, Ziwei

Article Type: Research Article

Abstract: BACKGROUND: Long noncoding RNAs (lncRNAs) participate in diseases, especially tumorigenesis, including gastric cancer (GC). Although lncRNAs in GC tissues have been extensively studied in previous research, the possible significance of circulating lncRNAs in diagnosing GC is still unknown. OBJECTIVE: The present work investigated lncRNAs ZFPM2-AS1 and XIST with high expression in GC tissues proved as potential plasma biomarkers from 20 early GC cases, 100 GC cases, and 90 normal subjects. METHODS: The possible correlation between ZFPM2-AS1 and XIST expression levels was analyzed with general characteristics and clinicopathological features. The performance in diagnosis was …assessed according to receiver operating characteristic (ROC) analysis. RESULTS: According to the results, XIST and ZFPM2-AS1 expression remarkably increased within GC plasma relative to normal subjects (P < 0.01); besides, lncRNA XIST expression after surgery had a tendency of downregulation compared with preoperative levels (P < 0.05). Moreover, the area under ROC curve (AUC) values were 0.62 for ZFPM2-AS1 and 0.68 for XIST, while the pooled AUC value of CA-724 and two lncRNAs was 0.751. CONCLUSION: Circulating lncRNAs ZFPM2-AS1 and XIST can serve as the candidate plasma biomarkers used to diagnose GC. Show more

Keywords: Long noncoding RNA, gastric cancer, ZFPM2-AS1, XIST, diagnosis, plasma, biomarker

DOI: 10.3233/THC-232033

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024

Authors: Wang, Kai | Zhu, Dongming | Chang, Zimin | Wu, Zhiyong

Article Type: Research Article

Abstract: BACKGROUND: The Ultimate Fighting Championship (UFC) stands as a prominent global platform for professional mixed martial arts, captivating audiences worldwide. With its continuous growth and globalization efforts, UFC events have garnered significant attention and achieved commendable results. However, as the scale of development expands, the operational demands on UFC events intensify. At its core, UFC thrives on the exceptional performances of its athletes, which serve as the primary allure for audiences. OBJECTIVE: This study aims to enhance the allure of UFC matches and cultivate exceptional athletes by predicting athlete performance on the field. To achieve this, …a recurrent neural network prediction model based on Bidirectional Long Short-Term Memory (BiLSTM) is proposed. The model seeks to leverage athlete portraits and characteristics for performance prediction. METHODS: The proposed methodology involves constructing athlete portraits and analyzing athlete characteristics to develop the prediction model. The BiLSTM-based recurrent neural network is utilized for its ability to capture temporal dependencies in sequential data. The model’s performance is assessed through experimental analysis. RESULTS: Experimental results demonstrate that the athlete performance prediction model achieved an overall accuracy of 0.7524. Comparative analysis reveals that the proposed BiLSTM model outperforms traditional methods such as Linear Regression and Multilayer Perceptron (MLP), showcasing superior prediction accuracy. CONCLUSION: This study introduces a novel approach to predicting athlete performance in UFC matches using a BiLSTM-based recurrent neural network. By leveraging athlete portraits and characteristics, the proposed model offers improved accuracy compared to classical methods. Enhancing the predictive capabilities in UFC not only enriches the viewing experience but also contributes to the development of exceptional athletes in the sport. Show more

Keywords: Recurrent neural network, UFC, athlete performance, winning percentage forecast, evaluation algorithm, deep learning, BiLSTM, XGBoost

DOI: 10.3233/THC-232000

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2024

Authors: Jiang, Yangzheng | Yang, Jiantao | Tian, Hui | Jiang, Chuan | Wang, Hongzhu

Article Type: Research Article

Abstract: BACKGROUND: Flatfoot (pes planus) is a common foot deformity, and its causes are mainly related to age, gender, weight, and genetics. Previous studies have shown that custom-made insoles could have a positive effect in improving plantar pressure and symptoms in individuals with flexible flatfeet, but it remains to be explored whether they can still show benefits in daily walking on different slopes. OBJECTIVE: This study aims to investigate a custom-made insole based on plantar pressure redistribution and to verify its effectiveness by gait analysis on different slopes. METHODS: We recruited 10 subjects and …compared the peak pressure and impulse in each area between custom-made insole (CI) and ordinary insole (OI) groups. RESULTS: The results illustrate that CI raises the pressure in T area, improves the ability of the subjects to move forward in the slope walking, which was beneficial to gait stability. CONCLUSION: The redistribution of pressure in MF and MH area is promoted to provide active protection for subjects. Meanwhile, CI could decrease the impulse in MF area during uphill and level walking, which effectively reduces the accumulation of fatigue during gait. Moreover, avoiding downhill walking could be able to protect foot from injury in daily life. Show more

Keywords: Flatfoot, custom-made insole, slope, pressure, impulse

DOI: 10.3233/THC-231785

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-13, 2024

Authors: Li, Zhaoxi | Guo, Xiaohui | Shi, Wei | He, Rongxia | Zhong, Hua

Article Type: Research Article

Abstract: BACKGROUND: Electronic foetal monitoring (EFM), a method to monitor foetal intrauterine conditions and foetal reserve capacity, is the most extensively used intrauterine monitoring technology in obstetrics. OBJECTIVE: This study aims to compare the Thoth wearable foetal electrocardiogram (foetal ECG [FECG]) monitoring system with a traditional Doppler foetal heart monitoring system before labour to investigate their respective values in clinical application. METHODS: A total of 393 pregnant women admitted to our hospital between 2020 and 2022 participated in this study. They were recruited using the convenience sampling method. We employed a paired design to …assess the confusion rate, trend overlap, and foetal heart rate/ECG monitoring consistency, whereas a completely randomised design was used to measure pregnancy outcome indicators. The participants were divided into two groups using a random number table: the Thoth group (n = 196) and the traditional Doppler group (n = 197). Each group was monitored using the corresponding system. RESULTS: The Thoth monitor demonstrated a lower confusion rate compared with the traditional Doppler monitor (0.25% vs 2.04%; χ 2 = 5.508, P = 0.019). The trend overlap in foetal heart rates was consistently 100%, with 91.2% of readings showing a consistency rate of ⩾ 95%. Additionally, the Thoth monitor recorded a higher cumulative interruption time in the foetal heart rate curve (12.13 ± 2.22 vs 21.02 ± 2.34; t = 18.471, P < 0.001) and more abnormal ECGs (21.21 ± 4.32 vs 18.21 ± 2.91; t = 7.582, P < 0.001) than the traditional Doppler system. CONCLUSION: The Thoth wearable FECG monitor offers several advantages over the traditional Doppler foetal heart monitoring system. These include a reduced confusion rate, more accurate data collection, a lower rate of clinical misjudgement, reduced workload for medical staff, and enhanced comfort during vaginal delivery. The rates of emergency caesarean sections and neonatal asphyxia in the Thoth group were marginally lower than those in the Doppler group, which may be attributed to issues such as ECG disconnection or interference from the maternal heart rate. Show more

Keywords: Foetal heart monitoring, foetal ECG monitor, Thoth wearable device, Doppler device, heart rates

DOI: 10.3233/THC-231752

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024

Authors: Abu-Izneid, Tareq | Rauf, Abdur | Naz, Saima | Ibrahim, Muhammad | Muhammad, Naveed | Wadood, Abdul | Ajmal, Amar | Hemeg, Hassan A. | Fahad, Shah | Thiruvengadam, Muthu | Venkidasamy, Baskar

Article Type: Research Article

Abstract: BACKGROUND: Ficus benghalensis has been used by local health care practitioners to treat pain, inflammation, rheumatism, and other health issues. OBJECTIVE: In this study, the crude extract and diverse fractions, along with the isolated compound of F. benghalensis were examined for their roles as muscle relaxants, analgesics, and sedatives. METHODS: The extract and isolated compound 1 were screened for muscle-relaxant, analgesic, and sedative actions. The acetic acid-mediated writhing model was utilized for analgesic assessment, the muscle relaxant potential was quantified through traction and inclined plan tests, and the open field test was …applied for sedative effects. RESULTS: The extract/fractions (25, 50, and 100 mg/kg) and isolated compounds (2.5, 5, 10, and 20 mg/kg) were tested at various doses. A profound (p < 0.001) reduce in the acetic acid-mediated writhing model was observed against carpachromene (64.44%), followed by ethyl acetate (60.67%) and methanol (58.42%) fractions. A marked (p < 0.001) muscle relaxant activity was noticed against the isolated compound (71.09%), followed by ethyl acetate (66.98%) and methanol (67.10%) fractions. Regarding the sedative effect, a significant action was noted against the isolated compound (71.09%), followed by ethyl acetate (66.98%) and methanol (67.10%) fractions. Furthermore, the binding modes of the isolated compounds were explored using molecular docking. The molecular docking study revealed that the isolated compound possessed good binding affinity for COX2 and GABA. Our isolated compound may possess inhibitory activity against COX2 and GABA receptors. CONCLUSION: The extract and isolated compounds of Ficus benghalensis can be used as analgesics, muscle relaxants, and sedatives. However, detailed molecular and functional analyses are essential to ascertain their function as muscle relaxants, analgesics, and sedatives. Show more

Keywords: Ficus benghalensis, Moraceae, carpachromene, analgesic, muscle relaxant, sedative, molecular docking

DOI: 10.3233/THC-231703

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-12, 2024

Authors: Wu, Cuiying | Li, Yunjun | Luo, Yongchun | Dai, Yiwu | Qin, Jiazhen | Liu, Ning | Xu, Ruxiang | Li, Xuezhen | Zhang, Peng

Article Type: Research Article

Abstract: BACKGROUND: Low-grade gliomas (LGG) are a variety of brain tumors that show different clinical outcomes. The methylation of the GSTM5 gene has been noted in the development of LGG, however, its prognostic importance remains uncertain. OBJECTIVE: The objective of this study was to examine the correlation between GSTM5 DNA methylation and clinical outcomes in individuals diagnosed with LGG. METHODS: Analysis of GSTM5 methylation levels in LGG samples was conducted using data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. The overall survival based on GSTM5 methylation status was evaluated …using Kaplan-Meier curves. The DNA methylation heatmap for particular CpG sites in the GSTM5 gene was visualized using the “pheatmap” R package. RESULTS: The study analyzed that LGG tumors had higher levels of GSTM5 methylation than normal tissues. There was an inverse relationship discovered between GSTM5 expression and methylation. LGG patients with hypermethylation of GSTM5 promoter experienced a positive outcome. Age, grade, and GSTM5 methylation were determined as independent prognostic factors in LGG through both univariate and multivariate Cox regression analyses. CONCLUSION: Methylation of GSTM5 DNA, specifically at certain CpG sites, is linked to a positive outlook in patients with LGG. Utilizing the “pheatmap” R package to visualize GSTM5 methylation patterns offers important information for identifying prognostic markers and therapeutic targets in low-grade gliomas. Show more

Keywords: Low-grade glioma, glutathione S-transferase mu class 5 (GSTM5), prognosist, methylaion, immune cells

DOI: 10.3233/THC-231316

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-18, 2024

Authors: Zheng, Chichao | Tang, Yi | Wang, Yadan | Wang, Yuanguo | Peng, Hu

Article Type: Research Article

Abstract: BACKGROUND: Ultrasound imaging has been widely used in clinical examination because of portability, safety, and low cost. However, there are still some main challenges of imaging quality that remain in conventional ultrasound systems. OBJECTIVE: Improving image quality of SA-based methods using an improved imaging mode named far-focus compound (FSC) imaging. METHODS: A far-focus compound (FSC) imaging based on full-aperture transmission and full-aperture reception is proposed in this paper. In transmission, it uses the full aperture to transmit the focused beam to ensure image resolution and emission of sound field energy. In reception, the …full aperture is used to receive the reflected beam to ensure the image quality. A lag-one coherence-based zero-cross factor (LOCZF) is then implemented in FSC for improvement of contrast ratio (CR). The LOCZF uses lag-one coherence as zero-cross factor’s adaptive coefficient. Comparisons were made with several other weighting techniques by performing simulations and experiments for performance evaluation. RESULTS: Results confirm that LOCZF applied to FSC offers a good image contrast and simultaneously the speckle pattern. For simulated cysts, CR improvement of LOCZF reaches 194.1%. For experimental cysts, CR improvement of LOCZF reaches 220%. From the in-vivo result, compared with FSC, CR improvement of LOCZF reaches 112.7%. CONCLUSION: Proved gCNR performance. In addition, the LOCZF method shows good performance in experiments. The proposed method can be used as an effective weighting technique for improvement of image quality in ultrasound imaging. Show more

Keywords: Ultrasonic imaging, far-focus compound imaging, reversal-squart zero-cross factor, lag-one coherence-based zero-cross factor

DOI: 10.3233/THC-231452

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-18, 2024

Authors: Wu, Weihua | Chen, Jie | An, Peng | Feng, Yangmei | Li, Chen | Zhang, Meiqi | Yu, Zhenfei

Article Type: Research Article

Abstract: BACKGROUND: The kidney is the most vulnerable organ in severe patients. In severe cases, the fatality rate of acute kidney damage is as high as 30% ∼ 60%. Severe ultrasound is a non-invasive method to evaluate renal blood flow. It can give a semi-quantitative score of renal blood flow and measure the Resistance Index (RI), which can reflect renal artery blood flow to a certain extent. OBJECTIVE: There is little literature on hemodynamic regulation in septic shock patients, but almost no research report on the relationship between hemodynamics and RI exists. Therefore, this …paper proposed the analysis of severe ultrasound and gene diagnosis in cardiac index and peripheral vascular RI of shock patients. METHODS: This paper mainly expounded on detecting renal function parameters and RI in patients with viral shock to understand further the correlation between them and renal flow and RI. RESULTS: It could be seen from the experimental results that the P values before and after resuscitation in the two groups with and without elevated Cardiac Output (CO) were 0.41 and 0.12, respectively, which were more significant than 0.05. CONCLUSION: RI had no apparent relationship with CO, and RI could not be used as an evaluation index for patients with early septic shock. Show more

Keywords: Severe ultrasound, shock patients, gene diagnosis, genetic algorithm

DOI: 10.3233/THC-231859

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-16, 2024

Authors: Shao, Liang | Gao, Ying | Zhang, Dan | Yang, Mengdan | Jiang, Mimi | Li, Hongfeng | Yan, Yanting

Article Type: Research Article

Abstract: BACKGROUND: non-small cell lung cancer (NSCLC) accounts for more than 80% of all lung cancer populations. Stereotactic radiotherapy (SBRT) is mainly suitable for early NSCLC patients who are not suitable for surgery or refuse surgery. OBJECTIVE: To analyze the effects of stereotactic radiotherapy (SBRT) plus immunotherapy for non-small cell lung cancer (NSCLC) patients on their immune status and survival quality. METHODS: NSCLC patients admitted to our hospital from 2019–2022 were divided into 61 cases in control group (SBRT) and 60 cases in observation group (SBRT plus immunotherapy) by the randomized numerical table method …to compare the efficacy, the level of tumor markers in the serum, the level and activity of the immune cells in the peripheral blood and the Kahlil’s functional status (KPS) scores. RESULTS: The observation group had a higher efficacy rate than that of the control group (P < 0.05). There was no statistical difference between the two groups in serum tumor marker content, immune cell level and activity in peripheral blood and KPS score before treatment (P > 0.05). After treatment, serum tumor markers were lower than those in control group, and immune cell level, NK cell-related activity and KPS score were higher than those in control group (P < 0.05). CONCLUSION: SBRT plus immunotherapy can reduce the level of various tumor markers, improve the immune status and quality of survival for NSCLC patients. Show more

Keywords: Stereotactic radiotherapy, immunotherapy, non-small cell lung cancer, immune status, survival quality

DOI: 10.3233/THC-241177

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024

Authors: Liu, Bo | Wang, Kebing | Ye, Si

Article Type: Research Article

Abstract: BACKGROUND: Accurately identifying the branches of pulmonary segmental vessels and bronchi, as well as adjacent structures, and determining the spatial location of lesions within pulmonary segments, are major challenges for thoracic surgeons. The application of three-dimensional reconstruction technology holds promise in addressing this issue. OBJECTIVE: To evaluate the clinical value of three-dimensional reconstruction in thoracoscopic segmental surgery. METHODS: Seventy-seven patients who underwent thoracoscopic segmental surgery combined with three-dimensional reconstruction at our hospital from January 1, 2020, to August 31, 2023, were retrospectively analyzed. Preoperative chest enhanced CT scans were conducted, and MIMICS software …aided in reconstructing DICOM format original data for patients with pulmonary nodules to facilitate intraoperative nodule localization. Accurate segmental pneumonectomy was performed by comparing preoperative anatomical identification of target segmental arteries, veins, and bronchi, with surgical details and postoperative outcomes recorded, including intraoperative pulmonary resection distribution, operation time, blood loss, chest tube drainage, extubation time, hospital stay, and complications. RESULTS: Following preoperative three-dimensional reconstruction, successful segmental lung surgeries were performed, predominantly with single segmental resection (92.2%), and a minority with combined segmentectomy (7.8%). Median operation time was 130225 minutes, with intraoperative blood loss at 70100 mL and postoperative chest tube drainage at 347 mL (159690 mL). Median extubation time and hospital stay were 4 days and 7 days, respectively. Complications within the 3-month follow-up affected 11.7% of cases, including persistent pulmonary leakage (7.1%), pulmonary infection (4.3%), atelectasis (4.3%), and pleural effusion (1.4%), with no fatalities. CONCLUSION: Preoperative 3D reconstruction can help the operator to perform safe, efficient and accurate thoracoscopic segmental pneumonectomy, which is worth popularizing in clinic. Show more

Keywords: Segmental resection, pulmonary nodules, lung cancer, thoracoscopic three-dimensional reconstruction

DOI: 10.3233/THC-240786

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-9, 2024

Authors: Li, Pengxin | Peng, Sheng | Song, Zhenghuan | Tan, Jing | Gu, Lianbing

Article Type: Research Article

Abstract: BACKGROUND: Diabetes, which is associated with cardiovascular disease and related microvascular complications, affects life expectancy and decrease quality of life. A trial reports that the risk of patients with diabetes having cardiovascular disease is 2–4 times compared with that in patients without diabetes. OBJECTIVE: This study aims to investigate the relationship between depth of general anesthesia in patients with diabetes mellitus METHODS: This clinical study totally includes 40 patients with diabetes mellitus, and these patients are divided into following two groups: diabetes mellitus deep anesthesia group and diabetes mellitus light anesthesia group, and …then these patients receive general anesthesia combined with laparoscopic surgery. Preoperative patient general data and intraoperative patient general data are collected and analyzed. Calcitonin gene-related peptide (CGRP) and substance P (SP) level are determined by Enzyme-linked immunosorbent assay (ELISA) RESULTS: This study included a total of 40 patients. There were no significant differences in demographic and preoperative patient general data between the two groups. Measurements were taken for operative time, anesthesia time, recovery time after drug withdrawal, dwell time in the recovery room, intraoperative fluid volume, intraoperative blood loss, and intraoperative urine output between the two groups. Significant differences were observed in the recovery time after drug withdrawal between the two groups. CGRP and SP level in diabetes mellitus deep anesthesia group are evidently more than those in diabetes mellitus light anesthesia group. CONCLUSIONS: CGRP and SP level are involved in the diabetes mellitus and up-regulated CGRP and SP can prevent the development of diabetes mellitus. Our study extends the existing literature by addressing a gap in knowledge regarding the impact of anesthesia depth on neuropeptide levels in diabetes mellitus patients. By delineating this relationship, we aim to contribute to the advancement of perioperative care practices and ultimately improve outcomes for individuals with diabetes undergoing surgical procedures. Our study’s findings provide valuable insights into the complex interactions between anesthesia, neuropeptides, and diabetes mellitus, offering the potential for personalized perioperative care, enhanced pain management, and improved surgical outcomes. These implications highlight the clinical relevance of our research and its potential to inform future advancements in perioperative care for diabetic patients undergoing surgery. Show more

Keywords: Diabetes mellitus, general anesthesia, CGRP, SP

DOI: 10.3233/THC-240907

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-8, 2024

Authors: Han, Zhen | Liu, Yangan | Tan, Ming | Hua, Zhaolai | Dai, Chun

Article Type: Research Article

Abstract: BACKGROUND: Surgery remains the most effective treatment for colon cancer. However, there are still controversies regarding the tumor treatment effect, prognosis, and perioperative impact of complete mesocolic excision (CME) surgery in colon carcinoma resection. OBJECTIVE: This study aims to compare laparoscopic complete mesocolic excision (LCME) and traditional open D2 radical surgery in colon carcinoma resection through a retrospective analysis using 1:1 propensity score matching (PSM). METHODS: 98 cases undergoing LCME or open D2 colon carcinoma resection at our hospital from January 2014 to November 2021 were retrospectively collected. After excluding cases and 1:1 matching using …PSM based on baseline clinical data, 86 patients were assigned in research queue. 43 patients were in each group. Two groups were compared for general clinical baseline indicators. Surgical results and postoperative adverse events of patients were also compared. Disease-free survival (DFS) rate and overall survival (OS) rate was analyzed. RESULTS: After 1:1 PSM matching, there was no statistically significant differences in baseline data between the LCME group and D2 group (P > 0.05). LCME was characterized by longer total duration of surgery (P < 0.001), less intraoperative bleeding volume (P < 0.001), more postoperative drainage fluid volume (P < 0.001), greater number of lymph nodes retrieved (P = 0.014). No statistically differences was observed regarding intraoperative blood transfusion, hospital stay, Clavien-Dindo complicating disease classification (all P > 0.05), 1 and 3-year DFS rate (P = 0.84) and OS rate (P ⩾ 0.1). CONCLUSION: LCME had a longer duration of surgery but less intraoperative bleeding volume and more postoperative drainage fluid volume and retrieved lymph nodes compared to D2 radical surgery. LCME surgery is comparable to D2 surgery in terms of postoperative prognosis, but LCME surgery shows a positive trend in the overall survival curve. Show more

Keywords: Laparoscopic complete mesocolic excision, traditional D2 radical surgery, Colonic Neoplasms, propensity score matching

DOI: 10.3233/THC-241149

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2024

Authors: Yang, Ping | Wu, Xiaoneng

Article Type: Research Article

Abstract: BACKGROUND: The objective performance evaluation of an athlete is essential to allow detailed research into elite sports. The automatic identification and classification of football teaching and training exercises overcome the shortcomings of manual analytical approaches. Video monitoring is vital in detecting human conduct acts and preventing or reducing inappropriate actions in time. The video’s digital material is classified by relevance depending on those individual actions. OBJECTIVE: The research goal is to systematically use the data from an inertial measurement unit (IMU) and data from computer vision analysis for the deep Learning of football teaching motion recognition …(DL-FTMR). There has been a search for many libraries. The studies included have examined and analyzed training through profound model construction learning methods. Investigations show the ability to distinguish the efficiency of qualified and less qualified officers for sport-specific video-based decision-making assessments. METHODS: Video-based research is an effective way of assessing decision-making due to the potential to present changing in-game decision-making scenarios more environmentally friendly than static picture printing. The data showed that the filtering accuracy of responses is improved without losing response time. This observation indicates that practicing with a video monitoring system offers a play view close to that seen in a game scenario. It can be an essential way to improve the perception of selection precision. This study discusses publicly accessible training datasets for Human Activity Recognition (HAR) and presents a dataset that combines various components. The study also used the UT-Interaction dataset to identify complex events. RESULTS: Thus, the experimental results of DL-FTMR give a performance ratio of 94.5%, behavior processing ratio of 92.4%, athletes energy level ratio of 92.5%, interaction ratio of 91.8%, prediction ratio of 92.5%, sensitivity ratio of 93.7%, and the precision ratio of 94.86% compared to the optimized convolutional neural network (OCNN), Gaussian Mixture Model (GMM), you only look once (YOLO), Human Activity Recognition- state-of-the-art methodologies (HAR-SAM). CONCLUSION: This finding proves that exercising a video monitoring system that provides a play view similar to that seen in a game scenario can be a valuable technique to increase selection accuracy perception. Show more

Keywords: Football, training, deep learning, video surveillance, skills, detection

DOI: 10.3233/THC-231860

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-20, 2024

Authors: Sun, Rui | Hao, Jianfeng | Li, Qian | Xie, Weinan | Hu, Xiaoyan | Chen, Zhenzhen | Liu, Zhi | Yuan, Ling

Article Type: Research Article

Abstract: BACKGROUND: NiaoDuQing Particle is the first Chinese herbal medicine approved by the China Food and Drug Administration for the treatment of chronic kidney disease. It has been used in clinical practice in China for over twenty years. However, there is limited literature reporting on the long-term therapeutic effects of NiaoDuQing Particles on chronic kidney disease patients. OBJECTIVE: This research aimed to comprehensively assess the therapeutic effect of NiaoDuQing Particles (NDQP) on chronic kidney disease patients based on clinical data analysis. METHODS: This study was carried out on a total of 148 participants diagnosed …with different types of chronic kidney disease. Demographics information, chronic kidney disease classification and chronic kidney disease diganostic indicators were collected and analyzed before and after NiaoDuQing Particles treatment for 3, 6, 9, 12 and 18 months respectively. RESULTS: In all 148 patients, mean eGFR value was increased after NiaoDuQing Particles treatment for up to 18 months, and was statistically significant at month 3, 6, 9, 12 and 18 (P < 0.05). Mean uric acid value was decreased after NiaoDuQing Particles treatment for up to 18 months, and was statistically significant at month 3, 6, 9, 12 and 18 (P < 0.05). Mean urea nitrogen value was decreased after NiaoDuQing Particles treatment for up to 18 months and was statistically significant at month 3, 6, 9, 12 and 18 (P < 0.05). While mean creatinine value was decreased after NiaoDuQing Particles treatment for up to 18 months and was statistically significant at month 6 (P < 0.05). CONCLUSIONS: NiaoDuQing Particles could maintain the stable state of chronic kidney disease patients for up to 18 months especially in improving diagnostic indicators like eGFR, uric acid and urea nitrogen. Show more

Keywords: Chronic kidney disease, NiaoDuQing particles, eGFR, uric acid, urea nitrogen

DOI: 10.3233/THC-241029

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-9, 2024

Authors: Milovanovic, Aleksandar | Isailovic, Velibor | Saveljic, Igor | Filipovic, Nenad

Article Type: Research Article

Abstract: BACKGROUND: Fractional flow reserve (FFR) determined invasively has been globally accepted as the gold standard for determining the functional significance of coronary artery stenoses. However, despite its great importance, the invasive method has certain disadvantages, including the risk of vascular injuries, the need for vasodilation, and significant medical costs. That is why great attention was paid to the development of non-invasive methods that would enable reliable diagnosis without exposing patients to the risk of unwanted consequences. OBJECTIVE: This paper aimed to create and verify an alternative, less resource- and time-demanding, non-invasive solution. METHODS: …The determination of FFR is based on the application of the fundamental laws of fluid dynamics. All energy losses in the coronary artery with stenosis were identified and analyzed in detail. A three-dimensional model of a coronary artery was generated using the corresponding angiographic images. Finally, the pressure due to stenosis was calculated and the FFR was determined. RESULTS: The results obtained using the proposed analytical method were compared with available experimental data for 40 patients who experienced the invasive coronary angiography. The coefficient of determination, mean difference and standard deviation values are determined to be 0.726, - 0.017 and 0.056, respectively. These values were slightly higher for FFR values above 0.80. CONCLUSION: The FFR calculated by the proposed analytical method has a relatively good correlation with clinical data, which leads to the conclusion that it can provide a reliable assessment of the functional significance of coronary stenosis. Show more

Keywords: Coronary artery stenosis, analytical method, fractional flow reserve

DOI: 10.3233/THC-240803

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2024

Authors: Hua, Defeng | Chen, Yan

Article Type: Research Article

Abstract: BACKGROUND: The present study investigated the association between cerebrovascular diseases and sepsis, including its occurrence, progression, and impact on mortality. However, there is currently a lack of predictive models for 28-day mortality in patients with cerebrovascular disease associated with sepsis. OBJECTIVE: The objective of this study is to examine the mortality rate within 28 days after discharge in this population, while concurrently developing a corresponding predictive model. METHODS: The data for this retrospective cohort study were obtained from the MIMIC-IV database. Patients with sepsis and cerebrovascular disease in the ICU were included. Laboratory …indicators, vital signs, and demographic data were collected within 24 hours of ICU admission. Mortality rates within 28 days after discharge were calculated based on patient death times. Logistic regression analysis was used to identify potential variables for a predictive model. A nomogram visualized the prediction model. The performance of the model was evaluated using ROC curves, Calibration plots, and DCA. RESULTS: The study enrolled a total of 2660 patients diagnosed with cerebrovascular disease complicated by sepsis, consisting of 1434 males (53.91%) with a median age of 70.97 (59.60, 80.73). Among this cohort of patients, a total of 751 fatalities occurred within 28 days following discharge. The multivariate regression analysis revealed that age, creatinine, arterial oxygen partial pressure (Pa O2), arterial carbon dioxide partial pressure (Pa CO2), respiratory rate, white blood cell (WBC) count, Body Mass Index (BMI), and race demonstrated potential predictive variables. The aforementioned model yielded an area under the ROC curve of 0.744, accompanied by a sensitivity of 66.2% and specificity of 71.2%. Furthermore, both calibration plots and DCA demonstrated robust performance in practical applications. CONCLUSION: The proposed prediction model allows clinicians to promptly assess the mortality risk in patients with cerebrovascular disease complicated by sepsis within 28 days after discharge, facilitating early intervention strategies. Consequently, clinicians can implement additional advantageous medical interventions for individuals with cerebrovascular disease and sepsis. Show more

Keywords: Predictive model, 28-day mortality, sepsis, cerebrovascular disease

DOI: 10.3233/THC-241150

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024

Authors: Wu, Weichuan | Li, Chengyan | Men, Donghai | Li, Xiaopeng | Huang, Baqi

Article Type: Research Article

Abstract: BACKGROUND: Multiple studies have shown that early decompressive surgery in patients with intracerebral hemorrhage can effectively limit hematoma expansion, reduce perihematomal edema, and improve prognosis. However, these studies are limited by small sample sizes and short follow-up times. OBJECTIVE: To analyze the effect of early decompressive surgery on the long-term prognosis of patients with cerebral hemorrhage and identify the influencing factors for poor prognosis. METHODS: A retrospective analysis of 78 patients with cerebral hemorrhage admitted between January 2020 and December 2022 was conducted. Patients were divided into early and delayed surgery groups for comparison of …outcomes such as mortality rate, modified Rankin Scale score, and Short Form-36 scores. Additionally, factors influencing long-term prognosis were analyzed through logistic regression based on significant differences observed between groups. RESULTS: The early decompressive surgery group showed superior outcomes with lower mortality rates, modified Rankin Scale (mRS) scores, hematoma expansion rates, and perihematomal edema volumes compared to the delayed surgery group (P < 0.05). Additionally, age, preoperative Glasgow Coma Scale (GCS) score, preoperative hematoma volume, and a history of hypertension or diabetes were identified as independent prognostic factors for patients with cerebral hemorrhage, with odds ratios (ORs) greater than 1. CONCLUSIONS: Early decompressive surgery can improve the long-term prognosis and quality of life of patients with cerebral hemorrhage, reduce mortality rates, and decrease hematoma expansion and perihematomal edema. Older patients, those with higher preoperative hematoma volume and GCS score, and those with coexisting hypertension and diabetes should be given special attention to decrease the occurrence of adverse prognosis. Show more

Keywords: Early decompressive surgery, cerebral hemorrhage, long-term prognosis, influencing factors

DOI: 10.3233/THC-240766

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024

Authors: Zhang, Xibing | Yang, Fuli | Han, Lei | Su, Qiuming | Gao, Yang | Wu, Ruichao | Wang, Duo | Li, Wang | Zheng, Kepu | Liu, Fang | Ran, Jianghua

Article Type: Research Article

Abstract: BACKGROUND: Liver fibrosis is a progressive liver disease with increasing incidence, yet its underlying pathogenic mechanisms remain incompletely understood. OBJECTIVE : This study aims to explore potential therapeutic targets for liver fibrosis using weighted gene co-expression network analysis (WGCNA) and experimental validation. METHODS: We retrieved the microarray data (GSE174099) from the GEO database and performed differential expression analysis and WGCNA to identify co-expression modules associated with liver fibrosis. A module with the highest correlation to liver fibrosis was selected for further analysis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway …enrichment analyses were conducted to investigate the biological functions and signaling pathways of the identified genes. Protein-protein interaction (PPI) networks were constructed using the STRING database. The correlation between core genes and immune cells was analyzed with the CIBERSORT algorithm. Additionally, pathological and molecular biology experiments were performed to validate the expression levels of core genes in liver tissue, including HE and Masson staining, immunohistochemistry, RT-qPCR, and Western blotting. RESULTS: We identified a total of 86 intersecting genes from the differential expression analysis and WGCNA. GO enrichment analysis revealed that these genes were involved in processes such as cellular response to cAMP, collagen-containing extracellular matrix, and G protein-coupled receptor binding. KEGG pathway analysis highlighted the involvement of these genes in pathways like Cell Adhesion Molecules and the PI3K-Akt signaling pathway. Using Cytoscape software, we identified four core genes: Cftr, Cldn4, Map2, and Spp1. Pathological examinations showed that the experimental group exhibited significant fibrous tissue proliferation compared to the control group. Immunohistochemistry, RT-qPCR, and Western blotting analyses confirmed that these core genes were significantly upregulated in the experimental group (P < 0.05). CONCLUSION: This study identified four key genes (Cftr, Cldn4, Map2, Spp1) that are significantly associated with liver fibrosis. These genes are upregulated in liver fibrosis and could potentially as biomarkers for diagnosis and targets for therapeutic interventions. Show more

Keywords: Liver fibrosis, WGCNA, protein-protein interaction, signal transduction, gene expression

DOI: 10.3233/THC-241142

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-18, 2024

Authors: Chen, Yumei | Chen, Yanbin

Article Type: Research Article

Abstract: BACKGROUND: Although literature suggests that exercise can improve symptoms in Parkinson’s Disease (PD) patients, research on the effects of aerobic exercise and resistance training (AE&RT) in early-stage PD remains limited. Understanding the synergistic effects of these exercise modalities can provide valuable insights for optimizing exercise interventions for PD patients, particularly in the early stages of the disease, where interventions may have the greatest impact on long-term functional outcomes. OBJECTIVE: This study aimed to investigate the effects of a combined AE&RT program on motor function, postural stability, and cognitive processing speed in early stage PD patients. …METHODS: A total of 236 participants with early-stage PD were assigned to either the Aerobic Exercise Group (AE group) (n = 112) or the AE&RT Group (n = 124) inthis controlled randomized trial. The study employed a one-year supervised exercise program, with the AE Group participating in aerobic activities and the AE&RT Group engaging in combined AE&RT. Outcome measures included symptom improvement, motor function, postural stability, cognitive processing speed, peak oxygen consumption, quality of life evaluation, and the incidence of adverse events. RESULTS: The AE&RT Group demonstrated greater improvements in tremor, muscle rigidity, gait instability, sleep problems, and hyposmia compared to the AE Group. Additionally, the combined exercise group exhibited better cognitive processing speed, as well as enhanced motor function and postural stability. Peak oxygen consumption was significantly higher in the AE&RT Group. However, the quality of life evaluation indicated a statistically higher quality of life in the AE Group. There was no significant difference in the incidence of adverse events between the two groups. CONCLUSION: The findings suggest that the integration of AE&RT in early-stage PD patients leads to more comprehensive improvements in motor symptoms, cognitive function, postural stability, and cardiovascular fitness compared to aerobic exercise alone. These results have important implications for developing tailored exercise interventions to enhance the physical and cognitive well-being of individuals with early-stage PD. Show more

Keywords: Aerobic exercise, resistance exercise, postural stability, cognitive processing speed, parkinson’s disease

DOI: 10.3233/THC-240821

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024

Authors: Yu, Qing | Hu, Jing

Article Type: Research Article

Abstract: BACKGROUND: The number of cesarean sections performed is increasing every year, and obstetric anesthesia is of great interest to physicians and research scholars because of its specificity, high risk, and high complication rate. OBJECTIVE: To investigate the effects of combined spinal epidural anesthesia (CSEA) with different intervertebral spaces during cesarean section on anesthesia effect, anesthesia onset time, anesthesia recovery time, maternal adverse reactions, and neonates. METHODS: Ninety-two women who underwent cesarean section in our hospital from September 2022 to February 2023 were selected as the study subjects and randomly divided them into two …groups (group A and group B), 46 women in each group. Group A underwent CSEA via an L2-3 gap and group B underwent CSEA via an L3-4 gap puncture. The anesthesia effect, anesthesia onset time, sensory recovery time, adverse effects, and neonatal Apgar score were compared between the two groups. RESULTS: When CSEA was performed from L2-3, the anesthesia efficiency was higher, but the difference was not statistically significant. When anesthesia was performed by puncture from L2-3, the onset of anesthesia and recovery time was shorter, and the incidence of intraoperative maternal nausea and vomiting, hypotension, respiratory depression, and other adverse reactions was low with a statistically significant difference. However, the Apgar scores of the neonates in the two groups have no difference. CONCLUSIONS: When CSEA is induced via L2-3 interspace, anesthesia has a rapid onset of action, shorter recovery time, and few maternal adverse effects, without affecting the final anesthetic outcome. Show more

Keywords: Combined spinal-epidural anesthesia, intervertebral spaces, cesarean section, difference

DOI: 10.3233/THC-240599

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-8, 2024

Authors: Liu, Mingsheng | Huang, Zhixiong | Wang, Xiaoyun | You, Pingdi | Cai, Xiaying

Article Type: Research Article

Abstract: BACKGROUND: Non-specific lower back pain (NLBP) is treated with a variety of therapies, including health education, exercise therapy, soft tissue release, psychological interventions, and shockwave therapy. However, some studies have shown that core stability training or fascial release therapy alone is not effective in the treatment of low back pain. BJECTIVE: The aim of this study was to investigate the effects of core stability training on patients’ inflammatory cytokine levels and lumbar muscle temperature when combined with fascial release for the treatment of non-specific low back pain. METHODS: In this study, a total …of 60 patients with non-specific low back pain who were treated in Mindong Hospital of Ningde City between December 2021 and January 2023 were selected and randomly and equally divided into a control group (30 cases) and an experimental group (30 cases). The control group received core stability training, while the experimental group added fascial release surgery to this. We compared and assessed the pain visual analog score (VAS), Oswestry dysfunction index (ODI), lumbar spine mobility (including anterior flexion, posterior extension, left flexion, and right flexion), as well as levels of inflammatory factors IL-6, TNF-a, and muscle tissue temperature in the two groups. RESULTS: This study has been successfully implemented and covered 60 patients throughout the trials. Upon comparison, the two groups did not show statistically significant differences in baseline data such as age, gender and duration of disease (p > 0.05). After four weeks of treatment, the test group showed statistically significant (p < 0.05) differences in VAS scores, ODI scores, and IL-6 and TNF-a levels that were significantly lower than those of the control group. It is worth mentioning that the muscle tissue temperature of the patients in the test group, as well as their performance in lumbar anterior flexion, posterior extension, left flexion, and right flexion mobility, were significantly better than those of the control group, and these differences also showed statistical significance (p < 0.05). CONCLUSION: The combination of core stability training and fascial release demonstrates significant clinical results in the treatment of nonspecific lower back pain. Through medical thermography and serum inflammatory factor testing, we were able to assess the treatment effect more objectively, providing a strong basis for future clinical practice. Show more

Keywords: Core stability training, fascial release, nonspecific low back pain, inflammatory factors, thermal imaging technology

DOI: 10.3233/THC-240902

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-9, 2024

Authors: Gu, Lei | Zhen, Yun | Huang, Zhenlin | Chen, Tianbao | Li, Fuxiong | Kaipeng, Chen

Article Type: Research Article

Abstract: BACKGROUND: sTREM-1H and miR-126 play crucial roles in inflammation and immune responses, yet their involvement in patients with pulmonary infection following cranial injury remains understudied. OBJECTIVE: The distribution of pathogens causing infection in patients with pulmonary infection after craniocerebral injury was explored, and the changes in the levels of soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) and miR-126 in peripheral blood were analyzed. METHODS: In this study, 60 patients (study group) with postoperative lung infection in craniocerebral injury treated from January 2019 to December 2, 2021, and 60 patients without lung infection …were selected as the control group. The study group received anti-infection treatment. The infection pathogen of the study group was tested, and the changes of sTREM-1 and miR-126 levels in the peripheral blood of the study and control groups were recorded to explore the diagnosis and predictive Value of prognostic death. RESULTS: 66 pathogens were detected, including 18 gram-positive bacteria, 42 gram-negative bacteria, and 6 fungi. The sTREM-1 level was higher than the control group, and the miR-126 level was lower than the control group. By ROC curve analysis, the diagnostic AUC values of both patients were 0.907 and 0.848, respectively (P < 0.05). Compared to those in the study group, patients had decreased sTREM-1 levels and increased miR-126 levels after treatment (P < 0.05). Compared with the survival group, patients in the death group had increased sTREM-1 levels and decreased miR-126 levels, and ROC curve analysis, the predicted AUC death values were 0.854 and 0.862, respectively. CONCLUSION: Gram-negative bacteria, with increased peripheral sTREM-1 levels and decreased miR-126 levels. The levels of sTREM-1 and miR-126 have specific diagnostic and prognostic Values for pulmonary infection after craniocerebral injury. However, the study’s conclusions are drawn from a limited sample and short-term data, which might limit their broader applicability. Future studies with larger populations and longitudinal designs are required to confirm these findings and determine these biomarkers’ robustness across different settings. Further research should also explore how these biomarkers influence patient outcomes in craniocerebral injuries. Show more

Keywords: Craniocerebral injury, lung infection, pathogen distribution, soluble Toll-like receptor-stimulated gene 1, miR-126

DOI: 10.3233/THC-240749

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-9, 2024

Authors: Yao, Chunying | Ma, Qiubo | Shi, Ying | Zhang, Na | Pang, Lei

Article Type: Research Article

Abstract: BACKGROUND: Membranous nephropathy (MN), also known as membranous glomerulonephritis, is a leading cause of adult nephrotic syndrome. The main pathological features encompass the deposition of immune complexes within the glomerular basement membrane epithelial cells, thickening of the basement membrane, and fusion of the foot process. OBJECTIVE: This study aims to investigate the role of the immune and inflammatory modulator miR-223 in the immunosuppressive and anti-inflammatory effects of cyclophosphamide (CTX) on membranous nephropathy (MN). METHODS: miR-223 mimetics or inhibitors was used to regulate miR-223 levels. LPS induced inflammatory cell model and cell polarization. CTX …was used to treat Lipopolysaccharides (LPS) induced inflammatory response and polarization. Cationic bovine serum albumin (c-BSA) induced BALB/c mouse MN model, while CTX was used to treat c-BSA induced MN. RESULTS: The miR-223 level in LPS induced inflammatory model cells was lower than that in control cells. The levels of inflammatory factors in LPS+ miR-223 mimetics and CTX+ miR-223i cells were lower than those in LPS and miR-223i cells. The protein levels of LPS+ miR-223 mimic, CTX+ miR-223i macrophage M2 phenotype markers Arginase-1 (Arg1), transforming growth factor β 1 (TGF-β 1), anti-inflammatory factors interleukin-4 (IL4) and interleukin-13 (IL13) were significantly higher than those of LPS and miR-223i. The effect of CTX was confirmed in a BALB/c mouse MN model induced by cationic bovine serum albumin (c-BSA). CONCLUSION: CTX upregulates the expression of miR-223, promotes polarization of M2 macrophages, alleviates the inflammatory response and renal injury of MN. Show more

Keywords: Cyclophosphamide, membranous nephropathy, macrophage, miR-223, inflammatory response

DOI: 10.3233/THC-241175

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2024

Authors: Bhatt, Ashish | Nigam, Vineeta Saxena

Article Type: Research Article

Abstract: BACKGROUND: Brain tumor is an extremely dangerous disease with a very high mortality rate worldwide. Detecting brain tumors accurately is crucial due to the varying appearance of tumor cells and the dimensional irregularities in their growth. This poses a significant challenge for detection algorithms. Currently, there are numerous algorithms utilized for this purpose, ranging from transform-based methods to those rooted in machine learning techniques. These algorithms aim to enhance the accuracy of detection despite the complexities involved in identifying brain tumor cells. The major limitation of these algorithms is the mapping of extracted features of a brain tumor in …the classification algorithms. OBJECTIVE: To employ a combination of transform methods to extract texture feature from brain tumor images. METHODS: This paper employs a combination of transform methods based on sub band decomposition for texture feature extraction from MRI scans, hybrid feature optimization methods using firefly and glow-worm algorithms for selection of feature, employment of MKSVM algorithm and stacking ensemble classifier for classification and application of the feature of fusion of different feature extraction methods. RESULTS: The algorithm under consideration has been put into practice using MATLAB, utilizing datasets from BRATS (Brain Tumor Segmentation) for the years 2013, 2015, and 2018. These datasets serve as the foundation for testing and validating the algorithm’s performance across different time periods, providing a comprehensive assessment of its effectiveness in detecting brain tumors. The proposed algorithm achieves maximum detection accuracy, detection sensitivity and specificity up to 98%, 99% and 99.5% respectively. The experimental outcomes showcase the efficiency of the algorithm in detection of brain tumor. CONCLUSION: The proposed work mainly contributes in brain tumor detection in the following aspects: a) use of combination of transform methods for texture feature extraction from MRI scans b) hybrid feature selection methods using firefly and glow-worm optimization algorithms for selection of feature c) employment of MKSVM algorithm and stacking ensemble classifier for classification and application of the feature of fusion of different feature extraction methods. Show more

Keywords: Brain tumor, transform function, feature fusion, optimization, machine learning algorithm

DOI: 10.3233/THC-240052

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-18, 2024

Authors: Mansoor, C.M.M. | Chettri, Sarat Kumar | Naleer, H.M.M.

Article Type: Research Article

Abstract: BACKGROUND: Heart disease is a severe health issue that results in high fatality rates worldwide. Identifying cardiovascular diseases such as coronary artery disease (CAD) and heart attacks through repetitive clinical data analysis is a significant task. Detecting heart disease in its early stages can save lives. The most lethal cardiovascular condition is CAD, which develops over time due to plaque buildup in coronary arteries, causing incomplete blood flow obstruction. Machine Learning (ML) is progressively used in the medical sector to detect CAD disease. OBJECTIVE: The primary aim of this work is to deliver a state-of-the-art approach …to enhancing CAD prediction accuracy by using a DL algorithm in a classification context. METHODS: A unique ML technique is proposed in this study to predict CAD disease accurately using a deep learning algorithm in a classification context. An ensemble voting classifier classification model is developed based on various methods such as Naïve Bayes (NB), Logistic Regression (LR), Decision Tree (DT), XGBoost, Random Forest (RF), Convolutional Neural Network (CNN), Support Vector Machine (SVM), K Nearest Neighbor (KNN), Bidirectional LSTM and Long Short-Term Memory (LSTM). The performance of the ensemble models and a novel model are compared in this study. The Alizadeh Sani dataset, which consists of a random sample of 216 cases with CAD, is used in this study. Synthetic Minority Over Sampling Technique (SMOTE) is used to address the issue of imbalanced datasets, and the Chi-square test is used for feature selection optimization. Performance is assessed using various assessment methodologies, such as confusion matrix, accuracy, recall, precision, f1-score, and auc-roc. RESULTS: When a novel algorithm achieves the highest accuracy relative to other algorithms, it demonstrates its effectiveness in several ways, including superior performance, robustness, generalization capability, efficiency, innovative approaches, and benchmarking against baselines. These characteristics collectively contribute to establishing the novel algorithm as a promising solution for addressing the target problem in machine learning and related fields. CONCLUSION: Implementing the novel model in this study significantly improved performance, achieving a prediction accuracy rate of 92% in the detection of CAD. These findings are competitive and on par with the top outcomes among other methods. Show more

Keywords: Machine learning, coronary artery disease, heart disease, feature selection, classification

DOI: 10.3233/THC-240740

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-25, 2024

Authors: Hu, Xia | Jiang, Huiqing | Liu, Peizhen | Li, Zhiquan | Zhang, Ruiying

Article Type: Research Article

Abstract: BACKGROUND: The Stepped Care Model (SCM) is an evidence-based treatment approach that tailors treatment intensity based on patients’ health status, aiming to achieve the most positive treatment outcomes with the least intensive and cost-effective interventions. Currently, the effectiveness of the Stepped Care Model in postoperative rehabilitation for TKA (Total Knee Arthroplasty) patients has not been reported. OBJECTIVE: The present study aimed to investigate whether the stepped care model could improve early-stage self-report quality of life and knee function after total knee arthroplasty via a prospective randomized controlled design. METHODS: It was a mono-center, …parallel-group, open-label, prospective randomized controlled study. Patients who aging from 60–75 years old as well as underwent unilateral primary total knee arthroplasty due to end-stage knee osteoarthritis between 2020.06 to 2022.02 were enrolled. Participants were randomized and arranged into two groups in a 1:1 allocation. The control group was given traditional rehabilitation guidance, while the stepped care model group was given continued stepped care. Hospital for special surgery knee score, daily living ability (ADL), knee flexion range, and adverse events at 1, 3, and 6 months after total knee arthroplasty were recorded. RESULTS: 88 patients proceeded to the final analysis. There was no significant difference of age, gender, length of stay, BMI, and educational level between the two groups at the baseline. After specific stepped care model interventions, patients showed significant improvements in HHS in 1 month (85.00 (82.25, 86.00) vs. 80.00 (75.00, 83.00), p < 0.001), 3 months (88.00 (86.00, 92.00) vs. 83.00 (76.75, 85.00), p < 0.001), and 6 months (93.00 (90.25, 98.00) vs. 88.00 (84.25, 91.75), p < 0.001) when compared with the control group. Similar results were also found in both daily living ability and knee flexion angle measurements. No adverse event was observed during the follow-up. CONCLUSION: The present study found that the stepped care model intervention significantly improved early-stage knee function and self-reported life quality after total knee arthroplasty due to knee osteoarthritis. Female patients and those less than 70 years old benefit more from the stepped care model intervention after total knee arthroplasty. Show more

Keywords: Stepped care model, total knee arthroplasty, randomized controlled trail, knee function, life quality

DOI: 10.3233/THC-240780

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-9, 2024

Authors: Fragidis, Leonidas | Tsamoglou, Sofia | Kosmidis, Kosmas | Aggelidis, Vassilios

Article Type: Research Article

Abstract: BACKGROUND: The global implementation of Electronic Health Records has significantly enhanced the quality of medical care and the overall delivery of public health services. The incorporation of Evidence-Based Medicine offers numerous benefits and enhances the efficacy of decision-making in areas such as prevention, prognosis, diagnosis, and therapeutic approaches. OBJECTIVE: The objective of this paper is to propose an architectural design of an Evidence-Based Medicine information system based on the Electronic Health Record, taking into account the existing and future level of interoperability of health information systems in Greece. METHODS: A study of the …suggested evidence-based medicine architectures found in the existing literature was conducted. Moreover, the interoperability architecture of health information systems in Greece was analyzed. The architecture design reviewed by specialized personnel and their recommendations were incorporated into the final design of the proposed architecture. RESULTS: The proposed integrated architecture of an Evidence-Based Medicine system based on the Electronic Health Record integrates and utilizes citizens’ health data while leveraging the existing knowledge available in the literature. CONCLUSIONS: Taking into consideration the recently established National Interoperability Framework, which aligns with the European Interoperability Framework, the proposed realistic architectural approach contributes to improving the quality of healthcare provided through the ability to make safe, timely and accurate decisions by physicians. Show more

Keywords: Electronic health records, evidence-based medicine, clinical decision support systems, health information systems

DOI: 10.3233/THC-232042

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-15, 2024

Authors: Chen, Changsheng | Zhang, Yu | Lin, Yuda | Shen, Chong | Zhang, Zhe | Wu, Zhouliang | Qie, Yunkai | Zhao, Gangjian | Hu, Hailong

Article Type: Research Article

Abstract: BACKGROUND: Bone morphogenetic proteins (BMPs) are a group of cancer-related proteins vital for development and progression of certain cancer types. Nevertheless, function of BMP family in pan-cancer was not detailedly researched. OBJECTIVE: Investigating expression pattern and prognostic value of the BMPs family (BMP1-8A and BMP8B) expression across multiple cancer types. METHODS: Our research integrated multi-omics data for exploring potential associations between BMPs expression and prognosis, clinicopathological characteristics, copy number or somatic mutations, immune characteristics, tumor microenvironment (TME), tumor mutation burden (TMB), microsatellite instability (MSI), immune checkpoint genes and drug sensitivity in The Cancer …Genome Atlas (TCGA) tumors. Furthermore, association of BMPs expression and immunotherapy effectiveness was investigated in some confirmatory cohorts (GSE111636, GSE78220, GSE67501, GSE176307, IMvigor210 and mRNA sequencing data from currently undergoing TRUCE01 clinical research included), and biological function and potential signaling pathways of BMPs in bladder cancer (BCa) was explored via Gene Set Enrichment Analysis (GSEA). Eventually, immune infiltration analysis was done via BMPs expression, copy number or somatic mutations in BCa, as well as validation of the expression levels by reverse transcription-quantitative PCR and western blot, and in vitro functional experiments of BMP8A. RESULTS: Discoveries displayed BMPs expression was related to prognosis, clinicopathological characteristics, mutations, TME, TMB, MSI and immune checkpoint genes of TCGA tumors. Anticancer drug sensitivity analysis displayed BMPs were associated with various drug sensitivities. What’s more, it was discovered that expression level of certain BMP family members related to objective response to immunotherapy. By GSEA, we discovered multiple immune-associated functions and pathways were enriched. Immune infiltration analysis on BCa also displayed significant associations among BMPs copy number variations, mutation status and infiltration level of diverse immune cells. Furthermore, differential expression validation and in vitro phenotypic experiment indicated that BMP8A significantly promoted BCa cell proliferation, migration and invasion. CONCLUSIONS: Current results confirmed significance of both BMPs expression and genomic alteration in the prognosis and treatment of diverse cancer types, and suggested that BMPs may be vital for BCa and can possibly be utilized as biomarkers for immunotherapy. Show more

Keywords: Bone morphogenetic proteins, pan-cancer analysis, bladder cancer, tumor microenvironment, prognosis

DOI: 10.3233/THC-232004

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-53, 2024

Authors: Hwang, Daon | Cho, Ki Hun

Article Type: Research Article

Abstract: BACKGROUND: Traditional canes have no special functions besides weight support, and their long-term use may cause secondary damage to the musculoskeletal system and gait deviation. OBJECTIVE: This study aimed to investigate the usability of the cane-combined weight support feedback device (CWSFD) to identify areas requiring improvement and the current level of satisfaction. METHODS: As a collet-type device, the CWSFD has a structure allowing attachment and detachment at the lower end of a traditional mono cane. To assess the level of satisfaction and areas of improvement regarding the novel CWSFD, a usability test was …conducted on 10 physical therapists with ⩾ 20 years of clinical experience. The usability test comprised a satisfaction survey questionnaire to determine the level of satisfaction, and an in-depth interview to identify the points of improvement. RESULTS: The usability test demonstrated a moderate or higher level of satisfaction in all tested items, and the in-depth interview revealed that the device should have a lower weight with a greater diversity of feedback. CONCLUSIONS: We anticipate that by implementing the respective improvements, a novel device will be developed in the future; for its commercialization, studies to verify the clinical effectiveness are warranted. Show more

Keywords: Cane, gait, satisfaction, usability test, weight support

DOI: 10.3233/THC-240056

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-9, 2024

Authors: Radhakrishnan, Menaka | Ramamurthy, Karthik | Shanmugam, Saranya | Prasanna, Gaurav | S, Vignesh | Y, Surya | Won, Daehan

Article Type: Research Article

Abstract: BACKGROUND: Autism Spectrum Disorder (ASD) is a condition with social interaction, communication, and behavioral difficulties. Diagnostic methods mostly rely on subjective evaluations and can lack objectivity. In this research Machine learning (ML) and deep learning (DL) techniques are used to enhance ASD classification. OBJECTIVE: This study focuses on improving ASD and TD classification accuracy with a minimal number of EEG channels. ML and DL models are used with EEG data, including Mu Rhythm from the Sensory Motor Cortex (SMC) for classification. METHODS: Non-linear features in time and frequency domains are extracted and ML …models are applied for classification. The EEG 1D data is transformed into images using Independent Component Analysis-Second Order Blind Identification (ICA-SOBI), Spectrogram, and Continuous Wavelet Transform (CWT). RESULTS: Stacking Classifier employed with non-linear features yields precision, recall, F1-score, and accuracy rates of 78%, 79%, 78%, and 78% respectively. Including entropy and fuzzy entropy features further improves accuracy to 81.4%. In addition, DL models, employing SOBI, CWT, and spectrogram plots, achieve precision, recall, F1-score, and accuracy of 75%, 75%, 74%, and 75% respectively. The hybrid model, which combined deep learning features from spectrogram and CWT with machine learning, exhibits prominent improvement, attained precision, recall, F1-score, and accuracy of 94%, 94%, 94%, and 94% respectively. Incorporating entropy and fuzzy entropy features further improved the accuracy to 96.9%. CONCLUSIONS: This study underscores the potential of ML and DL techniques in improving the classification of ASD and TD individuals, particularly when utilizing a minimal set of EEG channels. Show more

Keywords: Independent component analysis – Second Order Blind Identification (ICA – SOBI), Continuous Wavelet transform (CWT), stacking classifier, hybrid model, spectrogram, electroencephalogram

DOI: 10.3233/THC-240644

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-19, 2024

Authors: K. P, Ajitha Gladis | D, Roja Ramani | N, Mohana Suganthi | P, Linu Babu

Article Type: Research Article

Abstract: BACKGROUND: Gastrointestinal tract (GIT) diseases impact the entire digestive system, spanning from the mouth to the anus. Wireless Capsule Endoscopy (WCE) stands out as an effective analytic instrument for Gastrointestinal tract diseases. Nevertheless, accurately identifying various lesion features, such as irregular sizes, shapes, colors, and textures, remains challenging in this field. OBJECTIVE: Several computer vision algorithms have been introduced to tackle these challenges, but many relied on handcrafted features, resulting in inaccuracies in various instances. METHODS: In this work, a novel Deep SS-Hexa model is proposed which is a combination two different deep …learning structures for extracting two different features from the WCE images to detect various GIT ailment. The gathered images are denoised by weighted median filter to remove the noisy distortions and augment the images for enhancing the training data. The structural and statistical (SS) feature extraction process is sectioned into two phases for the analysis of distinct regions of gastrointestinal. In the first stage, statistical features of the image are retrieved using MobileNet with the support of SiLU activation function to retrieve the relevant features. In the second phase, the segmented intestine images are transformed into structural features to learn the local information. These SS features are parallelly fused for selecting the best relevant features with walrus optimization algorithm. Finally, Deep belief network (DBN) is used classified the GIT diseases into hexa classes namely normal, ulcer, pylorus, cecum, esophagitis and polyps on the basis of the selected features. RESULTS: The proposed Deep SS-Hexa model attains an overall average accuracy of 99.16% in GIT disease detection based on KVASIR and KID datasets. The proposed Deep SS-Hexa model achieves high level of accuracy with minimal computational cost in the recognition of GIT illness. CONCLUSIONS: The proposed Deep SS-Hexa Model progresses the overall accuracy range of 0.04%, 0.80% better than GastroVision, Genetic algorithm based on KVASIR dataset and 0.60%, 1.21% better than Modified U-Net, WCENet based on KID dataset respectively. Show more

Keywords: Gastrointestinal tract, wireless capsule endoscopy, mobile network, structural and statistical features, deep belief network

DOI: 10.3233/THC-240603

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-21, 2024

Authors: Teng, Xiaohuan | Sun, Yanrong | Zhao, Landi | Kang, Yingxian

Article Type: Research Article

Abstract: BACKGROUND: In 2019, approximately 330 million individuals in China were affected by cardiovascular diseases, with 11.4 million cases specifically attributed to coronary artery disease (CAD). A national public health report indicated that the mortality rate for CAD ranged from 121.59 to 130.14 per 100,000 individuals in 2019. The treatments for CAD include lifestyle changes, medications, percutaneous coronary intervention (PCI) and coronary artery bypass grafting. OBJECTIVE: To investigate the management effect of a digital health program in patients with coronary artery disease (CAD) after percutaneous coronary intervention (PCI). METHODS: This retrospective study compares …blood pressure, blood glucose, low-density lipoprotein cholesterol (LDL-C), medication adherence, lifestyle modification, and readmission rate between digital health users and traditional follow-up in post-PCI CAD patients. RESULTS: In this study of 698 CAD patients, the 6-month readmission rate of all patients was 27.4%, with digital health users showing lower rates than those in traditional follow-up (22.6% vs. 32.1%, p = 0.005). Digital health users had significantly higher target achievements rates in blood pressure (79.7% vs. 54.7%, p < 0.001), blood glucose (98.9% vs. 82.5%, p < 0.001) and LDL-C level (71.3% vs. 52.7%, p < 0.001) at 6-month post-PCI. The digital health group had more patients adopting lifestyle changes, including quitting smoking, maintaining a healthy diet, and exercising regularly. In risk factor analysis, digital health utilization (OR = 0.60, 95%CI: 0.40–0.90, p = 0.014) and multivessel disease (double: OR = 1.72, 95%CI: 1.09—2.72, p = 0.02; triple: OR = 2.59, 95%CI: 1.61–4.17, p < 0.001) were independent predictors of CAD-related cardiovascular readmissions. CONCLUSIONS: Post-PCI patients using digital health platforms exhibited improved blood pressure, glucose, and LDL-C control, greater treatment adherence, enhanced lifestyle changes, and reduced six-month readmission rates versus those with traditional follow-up. Show more

Keywords: Coronary artery disease, PCI, disease management, digital health

DOI: 10.3233/THC-240621

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024

Authors: Hong, Haisen | Sha, Mo | Chen, Zhangxin | Li, Yanwei | Kang, Liangqi

Article Type: Research Article

Abstract: BACKGROUND: Femoral neck fractures, which are fractures occurring from the femoral head to the base of the femoral neck, are prevalent in the elderly population. With the progression of societal aging, the incidence of femoral neck fractures has been steadily increasing, making it a significant global issue that urgently needs to be addressed. OBJECTIVE: To compare the efficacy and safety of dynamic hip screw (DHS) with anti-rotation screw and femoral neck system (FNS) internal fixation for the treatment of Garden II–IV type femoral neck fractures. METHODS: A total of 90 patients with Garden …II–IV type femoral neck fractures were randomly assigned to either the control group (n = 45) treated with DHS and anti-rotation screw or the experimental group (n = 45) treated with FNS. Surgical outcomes, including incision size, blood loss, operation time, fluoroscopy frequency, and fracture healing time, were compared. Postoperative complication rates, reoperation rates, Harris scores, and visual analogue scale (VAS) scores were also assessed. RESULTS: The experimental group demonstrated significantly reduced incision length, blood loss, operation time, and fluoroscopy frequency compared to the control group (P < 0.01). No significant differences were observed in fracture healing time, Garden classification, or fracture reduction outcomes between the two groups (P > 0.05). At 6 months post-treatment, both groups showed significant improvements in Harris scores and VAS scores compared to pre-treatment (P < 0.05), with no significant differences between the groups (P > 0.05). The rates of internal fixation failure, nonunion, and avascular necrosis of the femoral head, as well as overall incidence of postoperative complications and reoperation rates, showed no significant differences between the two groups (P > 0.05). CONCLUSIONS: Both DHS with anti-rotation screw and FNS internal fixation demonstrated comparable efficacy and safety profiles in the treatment of Garden II–IV type femoral neck fractures. The experimental group showed advantages in terms of reduced incision length, blood loss, operation time, and fluoroscopy frequency, while maintaining similar clinical outcomes and complication rates. Show more

Keywords: Femoral neck fractures, Garden II–IV classification, dynamic hip screw (DHS), anti-rotation screw, femoral neck system (FNS), internal fixation

DOI: 10.3233/THC-231547

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-9, 2024

Authors: Wang, Jing | Yin, Liang

Article Type: Research Article

Abstract: BACKGROUND: More than a million people are affected by brain tumors each year; high-grade gliomas (HGGs) and low-grade gliomas (LGGs) present serious diagnostic and treatment hurdles, resulting in shortened life expectancies. Glioma segmentation is still a significant difficulty in clinical settings, despite improvements in Magnetic Resonance Imaging (MRI) and diagnostic tools. Convolutional neural networks (CNNs) have seen recent advancements that offer promise for increasing segmentation accuracy, addressing the pressing need for improved diagnostic and therapeutic approaches. OBJECTIVE: The study intended to develop an automated glioma segmentation algorithm using CNN to accurately identify tumor components in MRI …images. The goal was to match the accuracy of experienced radiologists with commercial instruments, hence improving diagnostic precision and quantification. METHODS: 285 MRI scans of high-grade gliomas (HGGs) and low-grade gliomas (LGGs) were analyzed in the study. T1-weighted sequences were utilised for segmentation both pre-and post-contrast agent administration, along with T2-weighted sequences (with and without Fluid Attenuation by Inversion Recovery [FAIRE]). The segmentation performance was assessed with a U-Net network, renowned for its efficacy in medical image segmentation. DICE coefficients were computed for the tumour core with contrast enhancement, the entire tumour, and the tumour nucleus without contrast enhancement. RESULTS: The U-Net network produced DICE values of 0.7331 for the tumour core with contrast enhancement, 0.8624 for the total tumour, and 0.7267 for the tumour nucleus without contrast enhancement. The results align with previous studies, demonstrating segmentation accuracy on par with professional radiologists and commercially accessible segmentation tools. CONCLUSION: The study developed a CNN-based automated segmentation system for gliomas, achieving high accuracy in recognising glioma components in MRI images. The results confirm the ability of CNNs to enhance the accuracy of brain tumour diagnoses, suggesting a promising avenue for future research in medical imaging and diagnostics. This advancement is expected to improve diagnostic processes for clinicians and patients by providing more precise and quantitative results. Show more

Keywords: Biomedical imaging, CNN, deep learning, glioma, neuroimages, MRI

DOI: 10.3233/THC-240158

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-18, 2024

Authors: Tian, Wei | Zhang, Sheng | Gao, Yuan | Wang, Yan | Cui, Qianqian

Article Type: Research Article

Abstract: BACKGROUND: Irrational pharmacotherapy and increasing pharmacy costs remain major concerns in healthcare systems. Pharmacists are expected to employ diagnosis-related group (DRG) data to analyse inpatient pharmacy utilization. OBJECTIVE: This project aimed to pilot an efficient pharmacist-led programme to analyse factors related to pharmacy expenses, evaluate the rational use of drugs in batch processing, and make further interventions based on DRG data. METHODS: Patients from the OB25 (caesarean section without comorbidities or complications) DRG were selected in 2018, and the most relevant factors were identified through statistical analysis. Interventions were implemented by sending monthly …reports on prescribing data and drug review results for the same DRGs to the department starting in 2019. Pre–post comparisons were conducted to demonstrate changes in pharmacy costs and appropriateness at a tertiary teaching hospital with 2,300 beds in China. RESULTS: A total of 1,110 patients were identified from the OB25 DRG data in 2018. Multivariate linear analysis indicated that the number of items prescribed and wards substantially influenced pharmacy expenditure. Drugs labelled as vital, essential, and non-essential revealed that 46.6% of total pharmacy costs were spent on non-essential drugs, whereas 38.7% were spent on vital drugs. The use of inappropriate pharmaceuticals and drug items was substantially reduced, and the average pharmacy cost after intervention was 336.7 RMB in 2020. The benefit–cost ratio of the programme was 9.86. CONCLUSION: Interventions based on DRG data are highly efficient and feasible for reducing inpatient pharmacy costs and non-essential drug use. Show more

Keywords: Diagnosis-related groups, rational use of drugs, cost savings, prescribing behaviour, pharmacist intervention

DOI: 10.3233/THC-240284

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-11, 2024

Authors: Niu, Haiying | He, Huijie | Zhao, Zilong | Lu, Xuemei | Zhao, Gang

Article Type: Research Article

Abstract: BACKGROUND: Asthma is a major public health concern due to its persistent inflammation of the airways. The intricate and widely variable epidemiology of asthma among nations and populations is a result of the interplay between genetic, environmental, and socioeconomic factors. OBJECTIVE: This study aims to investigate whether VitD supplementation can reduce the frequency of exacerbations (including the frequency of exacerbations requiring systemic corticosteroids and the frequency of exacerbations necessitating trips to the hospital or emergency room, or both) and improve pulmonary function (clinical indicators such as the FEV1% predicted value). METHODS: Computers were …used to search Pubmed, Medline, ISI Web of Science, Embase, Cachrane Library, CNKI, CBM, VIP, and the Wanfang Database. Asthma/asthma, VitD/VitD, lung function/lung function, retrieval time is from database setup to October 8, 2021, to search all randomized controlled trials (RCTs) on the effect of VitD on human asthma and to retroactively incorporate references to literature were all included in the search criteria. After rigorous screening, quality evaluation, and data extraction of the included literature by two reviewers independently, heterogeneity tests and sensitivity analyses were performed. RESULTS: The findings show that a total of 12 relevant studies meeting the inclusion criteria were finally included, including 649 cases in the experimental group and 646 cases in the control group. VitD intervention reduced the number of asthma exacerbations, including the rate of exacerbations requiring systemic corticosteroid therapy and the rate of acute exacerbations requiring emergency department or hospital visits or both. CONCLUSIONS: In the outcome of lung function (FEV1% predicted value), it was shown that VitD supplementation improved lung function; in the outcome of serum 25-hydroxyVitD levels, it was shown that VitD supplementation increased serum 25-hydroxyVitD levels. Show more

Keywords: Asthma, VitD, FEV, lung function, 25-hydroxyVitD

DOI: 10.3233/THC-231462

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-24, 2024

Authors: Li, Qiang | Lu, Yingjun

Article Type: Research Article

Abstract: BACKGROUND: The POSSUM scoring system, widely employed in assessing surgical risks, offers a simplified and objective approach for the prediction of complications and mortality in patient. Despite its effectiveness in various surgical fields, including orthopedics and cardiovascular surgery, yet its utilization in elderly patients undergoing colorectal cancer surgery is infrequent. OBJECTIVE: To analyze the predictive value of POSSUM scoring system for postoperative complications and mortality in elderly with colorectal cancer. METHODS: 306 elderly colorectal cancer patients were grouped according to the complications and death within 30 days after surgery. Among them, 108 cases …in complication group, 198 cases in non-complication group, 16 cases in death group and 290 cases in survival group. POSSUM scores of all subjects were obtained and its predictive value for postoperative complications and mortality of elderly was conducted by ROC curve. RESULTS: No apparent difference were observed in complications and mortality among patients with different disease types, operation types and operation timing (P > 0.05). The R2 in complication group was higher than non-complication group (P < 0.05). The R1 in death group were higher than survival group (P < 0.05). The AUC of R2 for predicting postoperative complications was 0.955 with a sensitivity of 88.89% and a specificity of 94.44% and the AUC of R1 for evaluating postoperative mortality of elderly with colorectal cancer was 0.783 with a sensitivity of 56.25% and a specificity of 82.93%. CONCLUSION: POSSUM score system has a certain predictive value for postoperative complications and mortality in elderly with colorectal cancer. However, the predicted mortality rate is higher than actual mortality rate. Show more

Keywords: Colorectal cancer, POSSUM scoring system, postoperative complications and mortality, predictive value

DOI: 10.3233/THC-240849

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-8, 2024

Authors: Veihelmann, A. | Beck, F. | Huth, J. | Spetzger, U. | Schulze-Pellengahr, C. | Teske, W.

Article Type: Research Article

Abstract: BACKGROUND: It is estimated that a significant number of spinal surgeries are performed, but many patients do not often benefit. OBJECTIVE: Our aim was to determine how effective minimally invasive pain procedures (MIP) are in chronic low back pain (CLBP) patients with proven degenerative causes (specific low back pain). METHODS: 386 eligible patients with CLBP/sciatica resistant to conservative therapy and scheduled for open surgery were screened, and 167 could be enrolled in this study. Indications for MIP in the remaining 150 individuals were made by one experienced spinal surgeon. Before and 6 months …after the intervention, the numeric rating scale (NRS) and Oswestry Disability Index (ODI) were recorded. MIP was performed, such as radiofrequency of the facet and SI-joint, intradiscal electrothermal therapy in case of discogenic pain, as well as epidural neuroplasty in patients with disc herniation/epidural fibrosis. RESULTS: There was a statistically significant decrease in NRS (p < 0.05), as well as a significant increase in ODI (p < 0.001) 6 months after the procedures. This was also true for the results of all different pain generators and subsequent performed procedures alone. CONCLUSIONS: The indication of MIP should be routinely reviewed in patients with CLBP to avoid potentially open surgery and a burden on healthcare costs. Show more

Keywords: Minimal invasive surgical procedures, low back pain mechanical, disc herniation, sciatica, discogenic pain

DOI: 10.3233/THC-241003

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-15, 2024

Authors: Kong, Yang | Wang, Yizhi | Yang, Qifan | Ye, Song

Article Type: Research Article

Abstract: BACKGROUND: Bibliometric analysis of liver cancer research, particularly in immunotherapy, reveals crucial insights. The US leads in liver cancer mortality but ranks fifth globally. OBJECTIVE: Scopus database analysis identified 2,349 papers, with the top 100 ranging from 127 to 4,959 citations. Notably, “Microenvironmental Regulation of Tumours Progression and Metastasis” in the Journal of Nature Medicine garnered the highest citations. METHODS: Journals like the Journal of Hepatology, Hepatology, and Nature Reports Clinical Oncology contributed significantly. Understanding molecular mechanisms and prognostic indicators is paramount for advancing combination therapies. RESULTS: For better patient …outcomes, research trends in liver cancer immunotherapy point to improved treatment protocols, knowledge of the tumor microenvironment, combining therapies, predicting disease course, international cooperation, sophisticated surgical techniques, early detection, oncolytic virotherapy, and patient-centered care. CONCLUSIONS: This research underscores immunotherapy’s pivotal role and encourages further exploration, offering valuable insights into liver cancer treatment trends. Show more

Keywords: Liver cancer, immunotherapy, bibliometric analysis, research trends, oncology

DOI: 10.3233/THC-241111

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-15, 2024

Authors: Alsaleh, Hadeel

Article Type: Research Article

Abstract: BACKGROUND: Schwann cell sheaths are the source of benign, slowly expanding tumours known as acoustic neuromas (AN). The diagnostic and treatment approaches for AN must be patient-centered, taking into account unique factors and preferences. OBJECTIVE: The purpose of this study is to investigate how machine learning and artificial intelligence (AI) can revolutionise AN management and diagnostic procedures. METHODS: A thorough systematic review that included peer-reviewed material from public databases was carried out. Publications on AN, AI, and deep learning up until December 2023 were included in the review’s purview. RESULTS: …Based on our analysis, AI models for volume estimation, segmentation, tumour type differentiation, and separation from healthy tissues have been developed successfully. Developments in computational biology imply that AI can be used effectively in a variety of fields, including quality of life evaluations, monitoring, robotic-assisted surgery, feature extraction, radiomics, image analysis, clinical decision support systems, and treatment planning. CONCLUSION: For better AN diagnosis and treatment, a variety of imaging modalities require the development of strong, flexible AI models that can handle heterogeneous imaging data. Subsequent investigations ought to concentrate on reproducing findings in order to standardise AI approaches, which could transform their use in medical environments. Show more

Keywords: Artificial intelligence, diagnosis, acoustic neuroma, impact, management

DOI: 10.3233/THC-232043

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-13, 2024

Authors: Huang, Yucheng | Ma, Xuan | Wu, Shilei | Chen, Ming | Wang, Junwen | Jiao, Jing

Article Type: Research Article

Abstract: BACKGROUND: Current treatments do not support direct exposure of fracture fragments, resulting in the inability to directly observe the articular surface during surgery for accurate reduction and firm fixation. OBJECTIVE: The aim of the study was to explore the treatment effect of digital virtual reduction combined with individualized guide plate of lateral tibial condyle osteotomy on tibial plateau fracture involving the lateral posterior condyle collapse. METHODS: 41 patients with tibial plateau fracture involving the lateral posterior condyle collapse were recruited in the trial. All patients underwent Computed Tomography (CT) scanning before operation. After …operation, fracture reduction was evaluated using Rasmussen score and function of knee joint was assessed using hospital for special surgery (HSS) score. RESULTS: 41 patients were followed-up 6–26 months (mean, 15.2 months). Fracture reduction was good after operation, with an average of 13.3 weeks of fracture healing without serious complications. The excellent and good rate was 97.6%. The joint movement degree was - 5∘ ∼ 0∘ ∼ 135∘ with an average of 125.5∘ . CONCLUSIONS: Digital virtual reduction combined with individualized guide plate of lateral tibial condyle osteotomy was effectively for treating tibial plateau fracture involving the lateral posterior condyle collapse. Show more

Keywords: 3D printing, tibial fracture, osteotomy, fracture fixation

DOI: 10.3233/THC-240704

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-13, 2024