Technology and Health Care - Volume 32, issue 5

Authors: Badnjević, Almir | Zebić, Emina Zejnilović

Article Type: Editorial

DOI: 10.3233/THC-248050

Citation: Technology and Health Care, vol. 32, no. 5, pp. 2853-2858, 2024

Authors: Xu, Bi-Qing | Si, Qin | Feng, Yin-Ping | Guo, Jing | Jiang, Li-Ping

Article Type: Research Article

Abstract: BACKGROUND: Patients who have been treated with mechanical ventilation for more than 72 hours are susceptible to symptoms such as hypoxia and respiratory muscle fatigue after weaning, which may result in weaning difficulty and delay, as well as an increased incidence of negative emotions such as anxiety and depression. Correct pulmonary rehabilitation exercise technique and timing can improve the weaning success rate, reduce the disability rate, and reduce the incidence of pulmonary infection, as well as reduce medical expenses. OBJECTIVE: This article provides a review of pulmonary rehabilitation interventions for mechanically ventilated patients, searching relevant literature …through databases such as CNKI and PubMed, aiming to provide guidance for the successful weaning of mechanically ventilated patients. METHODS: We selected articles related to pulmonary rehabilitation interventions for mechanically ventilated patients from CNKI (China National Knowledge Infrastructure) and PubMed over the years. RESULTS: This article provides a comprehensive review of the research on lung rehabilitation for patients who are mechanically ventilated during the weaning process in an effort to serve as a guide for a successful transition from mechanical ventilation. CONCLUSION: Early pulmonary rehabilitation training can effectively increase the pulmonary function level and ventilation function of patients and reduce the duration of mechanical ventilation and hospitalization, and is an effective, safe, and feasible treatment method. Show more

Keywords: Mechanical ventilation, pulmonary rehabilitation, research progress, weaning

DOI: 10.3233/THC-231562

Citation: Technology and Health Care, vol. 32, no. 5, pp. 2859-2864, 2024

Authors: Lv, Guodong | Wang, Yuntao

Article Type: Review Article

Abstract: BACKGROUND: The widespread use of antibiotics has led to a gradual adaptation of bacteria to these drugs, diminishing the effectiveness of treatments. OBJECTIVE: To comprehensively assess the research progress of antibiotic resistance prediction models based on machine learning (ML) algorithms, providing the latest quantitative analysis and methodological evaluation. METHODS: Relevant literature was systematically retrieved from databases, including PubMed, Embase and the Cochrane Library, from inception up to December 2023. Studies meeting predefined criteria were selected for inclusion. The prediction model risk of bias assessment tool was employed for methodological quality assessment, and a …random-effects model was utilised for meta-analysis. RESULTS: The systematic review included a total of 22 studies with a combined sample size of 43,628; 10 studies were ultimately included in the meta-analysis. Commonly used ML algorithms included random forest, decision trees and neural networks. Frequently utilised predictive variables encompassed demographics, drug use history and underlying diseases. The overall sensitivity was 0.57 (95% CI: 0.42–0.70; p < 0.001; I 2 = 99.7%), the specificity was 0.95 (95% CI: 0.79–0.99; p < 0.001; I2 = 99.9%), the positive likelihood ratio was 10.7 (95% CI: 2.9–39.5), the negative likelihood ratio was 0.46 (95% CI: 0.34–0.61), the diagnostic odds ratio was 23 (95% CI: 7–81) and the area under the receiver operating characteristic curve was 0.78 (95% CI: 0.74–0.81; p < 0.001), indicating a good discriminative ability of ML models for antibiotic resistance. However, methodological assessment and funnel plots suggested a high risk of bias and publication bias in the included studies. CONCLUSION: This meta-analysis provides a current and comprehensive evaluation of ML models for predicting antibiotic resistance, emphasising their potential application in clinical practice. Nevertheless, stringent research design and reporting are warranted to enhance the quality and credibility of future studies. Future research should focus on methodological innovation and incorporate more high-quality studies to further advance this field. Show more

Keywords: Antibiotics, machine learning, meta-analysis, prediction

DOI: 10.3233/THC-240119

Citation: Technology and Health Care, vol. 32, no. 5, pp. 2865-2882, 2024

Authors: Yue, Yiting | Guo, Jinli | Huang, Yongbo | Li, Wenbin | Xue, Ruifang | Li, Hongmei | Xue, Jingjing | Yang, Yujing

Article Type: Research Article

Abstract: BACKGROUND: Developmental dislocation of the hip (DDH) is a common congenital deformity of the skeletal system in children. OBJECTIVE: To investigate the efficacy of post-surgery cluster nursing in children with DDH. METHODS: A total of 60 children with DDH who underwent hip joint orthopedic surgery in our hospital from September 2021 to September 2022 were enrolled as the research participants in this prospective study, and divided into the control group and the observation group according to the numerical table method, with 30 patients in each group. The control group was given routine pain …care, and the observation group was given cluster pain care. The hip joint function scores, pain scores, self-rating anxiety score (SAS) were compared between the two groups and between before intervention and after intervention in the two groups. RESULTS: The pain score of the children and the SAS of the primary caregivers after the intervention in the observation group were lower than those in the control group (P < 0.05), and the hip joint function score and family satisfaction degree were higher than those in the control group (P < 0.05). CONCLUSION: Family-based cluster pain care can reduce pain in children with DDH after surgery, promote hip joint functional recovery, reduce the negative emotions of caregivers, and improve family satisfaction, and has clinical popularization value. Show more

Keywords: Cluster nursing, hip dislocation, family-based, pain measurement, hip joint function, self-rating anxiety score

DOI: 10.3233/THC-230879

Citation: Technology and Health Care, vol. 32, no. 5, pp. 2883-2891, 2024

Authors: Paramasivam, Gokila Brindha | Ramasamy Rajammal, Rajalaxmi

Article Type: Research Article

Abstract: BACKGROUND: Polycystic Ovary Syndrome (PCOS) is a medical condition that causes hormonal disorders in women in their childbearing years. The hormonal imbalance leads to a delayed or even absent menstrual cycle. Women with PCOS mainly suffer from extreme weight gain, facial hair growth, acne, hair loss, skin darkening, and irregular periods, leading to infertility in rare cases. Doctors usually examine ultrasound images and conclude the affected ovary but are incapable of deciding whether it is a normal cyst, PCOS, or cancer cyst manually. OBJECTIVE: To have access to the high-risk crucial PCOS and to detect the …condition and the treatment aimed at mitigating health hazards such as endometrial hyperplasia/cancer, infertility, pregnancy complications, and the long-term burden of chronic diseases such as cardiometabolic disorders linked with PCOS. METHODS: The proposed Self-Defined Convolution Neural Network method (SD_CNN) is used to extract the features and machine learning models such as SVM, Random Forest, and Logistic Regression are used to classify PCOS images. The parameter tuning is done with lesser parameters in order to overcome over-fitting issues. The self-defined model predicts the occurrence of the cyst based on the analyzed features and classifies the class labels effectively. RESULTS: The Random Forest Classifier was found to be the most reliable and accurate among Support Vector Machine (SVM) and Logistic Regression (LR), with accuracy being 96.43%. CONCLUSION: The proposed model establishes better trade-off compared to various other approaches and works effectually for PCOS prediction. Show more

Keywords: SD_CNN, follicles, grid search, recognition rate, dropout, multinomial, exponential growth, and perimeter

DOI: 10.3233/THC-230935

Citation: Technology and Health Care, vol. 32, no. 5, pp. 2893-2909, 2024

Authors: Dayama, Nikhil Vitthal | Ali, Mariyam | Gaur, Abhishek | Pandey, Kaushik Kumar | Alqahtani, Nasser M. | Alfarsi, Mohammed A. | Zarbah, Mohammad A. | Chaturvedi, Saurabh | Minervini, Giuseppe

Article Type: Research Article

Abstract: BACKGROUND: Bonding between metal and ceramic is one of the most important aspects of a successful prosthesis. Various methods have been recommended for preparing the metal surface to enhance the bond between metal and ceramic including the use of a metal bonding agent. OBJECTIVE: This study aims to evaluate and compare the shear bond strength of the metal-ceramic (M-C) interface after combinations of various surface treatments including the application of a metal bonding agent. METHOD: 40 Ni-Cr alloy specimens were made and divided into 4 groups of 10 each based on the combination …of surface treatments. Sandblasting, surface grinding, and Oxidation heat treatment (OHT) were performed on specimens from Group 1 (Control). In addition, Group 2 specimens received ultrasonic cleaning, Group 3 steam cleaning, and Group 4 metal bonding agent application. Following surface treatments on all specimens, porcelain build-up was performed, and shear bond strength was tested in a Digital Universal testing machine. The statistical tests used were independent t -test and ANOVA. RESULTS: Results revealed that Group 4 specimens had the highest mean value of shear bond strength of 39.087 MPa while Group 3 specimens showed the least mean shear bond strength of 18.154 MPa with highly statistically significant results (p < 0.001). CONCLUSION: The surface treatments and application of bonding agent to metal prior to porcelain application resulted in increased shear bond strength of the metal-ceramic interface. Show more

Keywords: Metal bonding agent, shear bond strength, surface treatments, alloys, composition, metal-ceramic

DOI: 10.3233/THC-231003

Citation: Technology and Health Care, vol. 32, no. 5, pp. 2911-2923, 2024

Authors: Zhu, Yu-Ling | Wang, Sheng | Gu, Yan | Mao, Mao | Yan, Li-Hua

Article Type: Research Article

Abstract: BACKGROUND: Aortic dissection is usually managed with interventional therapy, conservative therapy, and surgery to inhibit disease progression and improve prognoses. Nevertheless, the absence of meticulous and effective nursing during the treatment greatly increases the complication rates, which is detrimental to the recovery of patients. OBJECTIVE: This study aimed to explore the efficacy of predictive pain intervention in the nursing process of patients with aortic dissection. METHODS: Sixty patients with aortic dissection who were admitted to our hospital from December 2018 to December 2020 were observed in this study. Specifically, these patients were randomly …and equally classified into Group A (patients who were given conventional nursing intervention) and Group B (patients who were given predictive pain intervention). Subsequently, the pain score, complication rates, and nursing satisfaction in the two groups were compared and analyzed. RESULTS: Compared with patients in Group A, patients in Group B had significantly lower pain scores (P < 0.05); complication rates were significantly lower in Group B than in Group A (6.67% vs. 23.33%, P < 0.05); patient satisfaction with care was significantly better in Group B compared to Group A (96.67% vs. 73.33%, P < 0.05). CONCLUSION: Predictive pain intervention is widely recognized as useful in the treatment of patients with aortic dissection. It has significant clinical application value as it can largely alleviate pain and is relatively safe for patients. Show more

Keywords: Aortic dissection, efficacy, predictive pain intervention

DOI: 10.3233/THC-231066

Citation: Technology and Health Care, vol. 32, no. 5, pp. 2925-2930, 2024

Authors: Zhang, Xinliang | Wang, Lin | Li, Mei | Dong, Shimin

Article Type: Research Article

Abstract: BACKGROUND: Investigating the secondary sepsis of pneumonia is of great significance for rapid diagnosis and early treatment of sepsis. OBJECTIVE: This study aimed to investigate the predictive value of micro ribonucleic acids (miRNA) 7110-5p and miR-223-3p in sepsis secondary to pneumonia. A miRNA microarray was used to analyze the differences in miRNA expression between patients with pneumonia and those with sepsis secondary to pneumonia. METHODS: The study included a total of 50 patients with pneumonia and 42 patients with sepsis secondary to pneumonia. Quantitative polymerase chain reaction analysis was conducted to measure the …circulating miRNA expression levels in patients and assess their correlations with clinical characteristics and prognosis. In this study, nine miRNAs – hsa-miR-4689-5p, hsa-miR-4621-5p, hsa-miR-6740-5p, hsa-miR-7110-5p, hsa-miR-765, hsa-miR-940, hsa-miR-213-5p, hsa-miR-223-3p, and hsa-miR-122 – met the screening criteria of having a fold change ⩾ 2 or < 0.5; p < 0.01 indicated significant differences in the results. RESULTS: The expression levels of miR-7110-5p and miR-223-3p differed between the two patient groups, being up-regulated in the plasma of patients with sepsis secondary to pneumonia. miR-7110-5p and miR-223-3p showed higher expression levels in both patients with pneumonia and sepsis compared to healthy controls. Moreover, the receiver operating characteristic curve revealed that the areas under the curve for predicting pneumonia using miR-7110-5p were 0.781 while those for predicting sepsis secondary to pneumonia were 0.862. For miR-223-3p, the corresponding values for predicting pneumonia and sepsis secondary to pneumonia were 0.879 and 0.924, respectively. However, there were no significant differences in the levels of miR-7110-5p and miR-223-3p between the plasma of survived and deceased patients with sepsis. CONCLUSIONS: MiR-7110-5p and miR-223-3p have the potential to serve as biological indicators for predicting sepsis secondary to pneumonia. Show more

Keywords: miR-7110-5p, miR-223-3p, pneumonia, sepsis secondary to pneumonia

DOI: 10.3233/THC-231137

Citation: Technology and Health Care, vol. 32, no. 5, pp. 2931-2939, 2024

Authors: He, Hui | Yan, Shuai | Chen, Dan-Dan | Guo, Cong | Xi, Zeng-Hui

Article Type: Research Article

Abstract: BACKGROUND: Secondary hyperparathyroidism (SHPT) is one of the common complications of end-stage renal disease-uremia, and is mainly manifested as parathyroid hyperplasia and abnormal secretion of parathyroid hormone (PTH). OBJECTIVE: To investigate the value and advantages of contrast-enhanced ultrasound (CEUS) in evaluating the survival of autografts after parathyroidectomy + parathyroid autotransplantation. METHODS: In this study, 125 patients with renal failure due to polycystic kidney disease, chronic nephritis, diabetic nephropathy, lupus nephritis, and atherosclerotic nephropathy were enrolled as the participants and each of them had 4 secondary hyperactive parathyroid glands and underwent …parathyroid autotransplantation. One parathyroid gland was taken from each patient and equally divided into 4 parts and placed in the subcutaneous fat of one forearm for transplantation. CEUS was performed 14 days after the transplantation to observe the micro blood supply of the graft and assess the survival and secretory function of the transplanted parathyroid. The grafts were divided into the partial survival group and the total survival group based on the enhancement characteristics. The survival of the grafts was determined by comparing the parathyroid hormone level in bilateral elbow cephalic veins 1 month after surgery. RESULTS: Among the 125 patients, 112 had linear or punctate enhancement of 2–4 parathyroid glands 14 days after surgery, and 13 patients had linear or punctate enhancement of 0–1 parathyroid gland. There were statistically significant differences in the perfusion pattern, enhancement uniformity, and parathyroid hormone levels in the cephalic veins at the elbow on both the graft and non-graft sides among all groups (P < 0.05). CONCLUSION: Compared to the detection of the difference in the parathyroid hormone level in the cephalic vein of bilateral elbows 1 month after surgery, CEUS can reflect the parathyroid survival after transplantation more quickly and accurately 2 weeks later, and provide a more rapid and agile non-invasive clinical diagnosis method. Show more

Keywords: Contrast-enhanced ultrasound (CEUS), parathyroid autotransplantation, secondary hyperparathyroidism, survival

DOI: 10.3233/THC-231191

Citation: Technology and Health Care, vol. 32, no. 5, pp. 2941-2949, 2024

Authors: Wang, Juan | Zhang, Fan | Ma, Yulin | Ju, Hongjuan | Zhang, Yuena | Wang, Yueheng

Article Type: Research Article

Abstract: BACKGROUND: Chronic kidney disease (CKD) is a major public health problem, so it is particularly important to quantitatively assess and intervene in the degree of early renal damage in CKD. OBJECTIVE: The objective of the research is to establish reference values for kidney elasticity by using real-time shear wave elastography (RT-SWE) technology to quantify Young’s modulus values in the renal cortex of normal adults. The intention is to provide a foundation for evaluating renal function and structural changes in patients with CKD. Furthermore, this research investigates the role of RT-SWE in the early detection of renal …fibrosis in CKD, providing insights into its diagnostic value for detecting pathological changes at an early stage. METHODS: Between August 2019 and December 2021, we collected a sample of 100 healthy people (55 men with an average age of 43.5 ± 15.2 years and 45 women with an average age of 41.6 ± 19.8 years) for medical evaluations at our hospital’s Department of Ultrasound Medicine. In addition, 97 individuals with CKD1-3 stage were considered. Following the removal of contraindications and relevant confounding variables, we included a final cohort of 80 individuals in the research (45 men and 35 females, with an average age of 39.1 ± 19.2 years). The RENAL mode was selected and a convex array probe S6-1 operating at a frequency of 3.5–5.5 MHz was used in the research, which made use of the French Supersonic AixPlorer ultrasonic diagnostic instrument. Renal RT-SWE elastography was performed after conventional two-dimensional and color Doppler ultrasonography. The study used RT-SWE technology to assess the mean Young’s modulus of the cortex in healthy individuals (Emean), with data analysis and comparisons based on age and gender. Furthermore, the Emean values of CKD stage 1–3 patients were determined, and analyses were performed about 24-hour urine protein quantitative (24hUTP), serum creatinine concentration (SCr), and renal biopsy pathology, specifically the degree of interstitial fibrosis. RESULTS: Healthy group: a) The average kPa values of the left kidney (4.2 ± 2.3), right kidney (4.3 + 2.5) kPa, both kidneys’ average kPa values (4.3 ± 2.4) kPa, and the average kPa values of the left and right kidneys do not differ statistically (p = 0.986). b) There was no difference in the kPa values of healthy male and female kidneys (4.4 + 2.1 and 4.2 + 2.6, respectively. c) There was no difference in the renal kPa values of healthy adults aged 50 (4.4 ± 2.8) kPa and renal kPa of the 50-year-old population (4.2 + 2.1) kPa (p = 0.041). Case group: a) the group of patients with CKD1-3 stage and the group did not vary in their Emean values (both p < 0.05); b) There is a difference between CKD stages 1, 2, and 3 (p < 0.05), however, there is still no difference in the pyEmean value corrected for patient age between patients in stages 1 and 2 (p > 0.05). CONCLUSION: The study reveals no significant differences in the Emean value of bilateral kidneys in normal people and no differences in the elasticity value of kidneys and gender. However, age-based differences were statistically significant. pyEmean may be useful for comparing CKD stage 1, 2, and 3 patients, and RT-SWE can assess early renal damage. Show more

Keywords: Shear wave elastography, chronic kidney disease, renal fibrosis, early renal injury

DOI: 10.3233/THC-231270

Citation: Technology and Health Care, vol. 32, no. 5, pp. 2951-2964, 2024

Authors: Harel, Daphna | Lubetzky, Anat Vilnai

Article Type: Research Article

Abstract: BACKGROUND: Standing is a basic human function that healthy adults take for granted, yet it is a complex perceptual-motor process that requires sensation of position and motion from the sensory systems. OBJECTIVE: We assessed agreement between center of pressure data from a laboratory force-platform and head position data from an HTC Vive head-mounted display (HMD) for the evaluation of standing postural control. We investigated the impact of different statistical choices when assessing the relationship between two measurements. Specifically: 1) How does correlation and agreement statistics relate before and after logarithmic transformation? 2) Is there systemic or …proportional bias between the force-platform and HMD measurements? METHODS: We tested 37 adults (26 controls, 11 with unilateral vestibular hypofunction) standing on foam, observing a static or dynamic visual scene projected from the HMD. We quantified anterior-posterior and medio-lateral sway via Directional Path, Root Mean Square Velocity, Variance, and Power Spectral Density (PSD) from a force-platform and the HMD. RESULTS: Intra-class correlations (ICCs) were moderate-to-good for the non-transformed data and good-to-excellent after logarithmic transformation for all outcomes except for PSD above 1 Hz. Correlations were higher than ICCs. Bland-Altman plots indicated proportional bias but not after logarithmic transformation. CONCLUSIONS: Both devices correlated linearly, and measure people’s postural responses but cannot be used interchangeably, mostly because they appear to diverge with larger sway as evident on Bland-Altman plots of non-transformed data. Agreement between devices was excellent for low frequency movement but poor for high frequency small corrective movements. Show more

Keywords: Virtual reality, Bland-Altman, correlations, postural control, balance

DOI: 10.3233/THC-231338

Citation: Technology and Health Care, vol. 32, no. 5, pp. 2965-2979, 2024

Authors: Zhong, Wei-Wei | Yuan, Yue | Jin, Hong-Yan | Tang, Ji-Ming | Zhao, Qian | Piao, Li-Yan

Article Type: Research Article

Abstract: BACKGROUND: One of the main illnesses in the globe that causes impairment and death in people is stroke. In the globe today, it ranks as the second leading cause of death and the leading cause of death in China. OBJECTIVE: This paper analyses into the critical role of risk perception in developing individual awareness of stroke risk and encouraging proactive preventive health behaviors, essential for effective primary stroke prevention strategies and reduced stroke incidence. It discusses the concept of risk perception, the content and dimensions of global stroke assessment tools, and their application status, aiming to …provide insights for their development and intervention research. METHODS: Risk perception encompasses subjective assessments of stroke likelihood and severity, influenced by personal experiences, knowledge of risk factors, beliefs about prevention effectiveness, and emotional responses. Global stroke assessment tools, like the Framingham Stroke Risk Score and CHA2DS2-VASc Score, evaluate stroke risk based on factors such as age, gender, blood pressure, and cholesterol levels. In order to improve risk perception and proactive health management and lower the burden of strokes, the paper assesses the advantages and disadvantages of these tools and makes recommendations for improving accessibility, customizing interventions, running educational campaigns, promoting multidisciplinary collaboration, and integrating technology. RESULTS: By combining the research tools of stroke risk perception, it is found that the evaluation tools are mostly single-dimensional evaluation tools centered on the two dimensions of onset possibility and susceptibility. CONCLUSION: Some scholars have developed multi-dimensional evaluation tools, but the evaluation population is relatively limited, and the evaluation system lacks comprehensiveness and systematization. Show more

Keywords: Stroke, assessment tool, research progress, review

DOI: 10.3233/THC-231343

Citation: Technology and Health Care, vol. 32, no. 5, pp. 2981-2993, 2024

Authors: Cen, Gengyu | Xia, Yumei | Liang, Zhijian

Article Type: Research Article

Abstract: BACKGROUND: Stroke is one of the leading causes of disability and mortality worldwide. OBJECTIVE: To identify the regulatory network of microRNAs (miRNAs) and mRNAs to clarify molecular mechanisms in stroke. METHODS: Four miRNA datasets and two mRNA datasets of stroke were downloaded from the GEO database. R-Studio was utilized to analyze differentially expressed miRNAs (DEmiRNAs) and mRNAs (DEmRNAs) in the blood of stroke and control patients. FunRich software was utilized to conduct GO and biological pathway analysis on DEmiRNAs, and to search for transcription factors (TFs) of DEmiRNAs. Subsequently, we used miRDB, miRTarBase, …and TargetScan to identify DEmiRNAs target genes and intersected with DEmRNAs to find common target genes. The miRNA-mRNA regulatory network of common target genes was constructed by using the Cytoscape. The biological and functional roles of target genes in the regulatory network were predicted using GO and KEGG pathway analyses. RESULTS: 464 DEmiRNAs and 329 DEmRNAs were screened. The top ten TFs (SP1, SP4, EGR1, TCF3, NKX6-1, ZFP161, RREB1, MEF2A, NFIC, POU2F1) were visualized. 16747 target genes of DEmiRNAs were predicted. Target genes were intersected with DEmRNAs, 107 common target genes and 162 DEmiRNAs regulating these common genes were obtained, and then a regulatory network was constructed. Target genes of the regulatory network were primarily enriched in VEGF signaling pathway, lipid and atherosclerosis, T cell receptor signaling pathway. CONCLUSION: This study found that VEGF signaling pathway, lipid and atherosclerosis, T cell receptor signaling pathway are implicated in the biological process of stroke by constructing the regulatory network of miRNAs-mRNAs, which may have guide significance for the pathogenesis and treatment of stroke. Show more

Keywords: Stroke, microRNAs, mRNAs, molecular mechanisms, bioinformatics analysis

DOI: 10.3233/THC-231357

Citation: Technology and Health Care, vol. 32, no. 5, pp. 2995-3006, 2024

Authors: Yadalam, Pradeep Kumar | Anegundi, Raghavendra Vamsi | Ramadoss, Ramya | Shrivastava, Deepti | Almufarrij, Raha Ahmed Shamikh | Srivastava, Kumar Chandan

Article Type: Research Article

Abstract: BACKGROUND: Wnt activation promotes bone formation and prevents bone loss. The Wnt pathway antagonist sclerostin and additional anti-sclerostin antibodies were discovered as a result of the development of the monoclonal antibody romosozumab. These monoclonal antibodies greatly increase the risk of cardiac arrest. Three-dimensional quantitative structure-activity relationships (3D-QSAR) predicts biological activities of ligands based on their three-dimensional features by employing powerful chemometric investigations such as artificial neural networks (ANNs) and partial least squares (PLS). OBJECTIVE: In this study, ligand-receptor interactions were investigated using 3D-QSAR Comparative molecular field analysis (CoMFA). Estimates of steric and electrostatic characteristics in CoMFA …are made using Lennard-Jones and Coulomb potentials. METHODS: To identify the conditions necessary for the activity of these molecules, fifty Food and Drug Administration (FDA)-approved medications were chosen for 3D-QSAR investigations and done by CoMFA. For QSAR analysis, there are numerous tools available. This study employed Open 3D-QSAR for analysis due to its simplicity of use and capacity to produce trustworthy results. Four tools were used for the analysis on this platform: Py-MolEdit, Py-ConfSearch, and Py-CoMFA. RESULTS: Maps that were generated were used to determine the screen’s r2 (Coefficient of Multiple Determinations) value and q2 (correlation coefficient). These numbers must be fewer than 1, suggesting a good, trustworthy model. Cross-validated (q2) 0.532 and conventional (r2) correlation values of 0.969 made the CoMFA model statistically significant. The model showed that hydroxamic acid inhibitors are significantly more sensitive to the steric field than the electrostatic field (70%) (30%). This hypothesis states that steric (43.1%), electrostatic (26.4%), and hydrophobic (20.3%) qualities were important in the design of sclerostin inhibitors. CONCLUSION: With 3D-QSAR and CoMFA, statistically meaningful models were constructed to predict ligand inhibitory effects. The test set demonstrated the model’s robustness. This research may aid in the development of more effective sclerostin inhibitors that are synthesised using FDA-approved medications. Show more

Keywords: 3dQSAR, sclerostin, bone formation

DOI: 10.3233/THC-231358

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3007-3019, 2024

Authors: Cao, Yi | Li, Chongfei | Yang, Cheng

Article Type: Research Article

Abstract: BACKGROUND: Physical education and training are essential ways to improve the physical quality of the nation, and China has incorporated “building a healthy China” and “fitness for all” into its national development strategy, integrating a strong sports nation into the Chinese dream. OBJECTIVE: The study of digital recording and automated training in sports is of profound value. Motion capture technology can digitally record the training process in a digital physical education training system. At the same time, accurate modeling and calculation can analyze the training effects and give appropriate guidance and feedback. This study develops a …new and improved hierarchical K-means algorithm by combining the known classification algorithm K-means with a hierarchical algorithm. METHODS: The performance of the old and new algorithms are compared and then applied to physical education training data to produce clustering results and analysis to reduce the model, which is used to reduce the number of parameters in the model and improve the recognition speed. RESULTS: The experimental results demonstrate that the relevant models proposed in this study achieve an average accuracy of 91.27% and 92.26%, respectively, which is better than a single network model and can effectively use big data for health event detection. CONCLUSION: The empirical results show that the improved model algorithm outperforms the single network model and can detect health events using big data. Show more

Keywords: Big data, health, physical education, training action detection, hierarchical K-mean algorithm optimization

DOI: 10.3233/THC-231417

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3021-3036, 2024

Authors: Stjepić, Maja Kovačević | Rifatbegović, Zijah | Cerovac, Anis | Agić, Mirha | Mehmedović, Zlatan | Habek, Dubravko | Vranić, Semir | Ahmetašević, Emir | Trnačević, Senaid

Article Type: Research Article

Abstract: BACKGROUND: Despite improvements, survival rates for gastric cancer remain low, even in developed countries, confirming the role of primary and secondary prevention. OBJECTIVE: This study aims to demonstrate the role of additional suspension sutures on the esophagojejunal anastomosis (EJA) to strengthen the anastomosis, i.e., relieve the mechanical suture. METHODS: A retrospective cohort study was conducted from 2011 to 2022 at the Clinic for Surgery, University Clinical Center Tuzla, Bosnia and Herzegovina. The experimental group consisted of patients placed with a suspension suture at the esophagojejunal anastomosis (EJA) site after total gastrectomy. The control …group was patients without a suspension suture. The clinical and laboratory parameters available from the medical history were analyzed, X-ray passage, surgical complications, non-surgical complications, the length of hospitalization, the postoperative course, time of onset of postoperative complications, postoperative radiological follow-up and endoscopic postoperative follow-up were then analyzed. RESULTS: A total of 212 patients were included in the study: 87 in the experimental group with suspension sutures on the EJA and 125 in the control group without suspension sutures on the EJA. The two cohorts did not differ in other clinicopathologic parameters except perineural invasion, which was more prevalent in the control group. Patients in both groups were anemic and elevated values of C reactive protein (CRP) and decreased levels of proteins, albumin and globulin, with no significant difference between the two groups. The most common general complication was pleural effusion (28%), followed by pneumonia (∼ 22%). The most common complication in the experimental group was an intraabdominal abscess, while in the control group, it was a surgical wound infection. CONCLUSION: Our study did not show a statistically significant difference between the two analyzed EJA techniques created with a circular stapler, when it comes to postoperative course and outcome in patients with gastric cancer. Show more

Keywords: Gastric cancer, surgery, postoperative outcome

DOI: 10.3233/THC-231467

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3037-3046, 2024

Authors: Lu, Jian-Lin | Yuan, Xiao-Yan | Zhang, Jin-Shan | Li, Yuan

Article Type: Research Article

Abstract: BACKGROUND: Ever since the GALAD (gender-age-Lens culinaris agglutinin-reactive alpha-fetoprotein-alpha-fetoprotein-des-gamma-carboxy prothrombin) logistic regression model was established to diagnose hepatocellular carcinoma (HCC), there has been no high-level evidence that evaluates and summarizes it. OBJECTIVE: This meta-analysis was performed to assess the diagnostic ability of the GALAD model. METHODS: The following databases were systematically searched for original diagnostic studies on HCC: PubMed, Embase, Medline, the Web of Science, Cochrane Library, China National Knowledge Infrastructure Wanfang (China), Wiper and the Chinese BioMedical Literature Database. After screening the search results according to our criteria, the Quality Assessment …of Diagnostic Accuracy Studies 2 tool was used to evaluate the methodologic qualities, and statistical software were used to output the statistics. RESULTS: Ultimately, 10 studies were included and analyzed. The results revealed the pooled sensitivity and specificity of the GALAD model to be 0.86 (95% confidence interval [CI]: 0.82, 0.90) and 0.90 (95% CI: 0.87, 0.92), respectively, for all-stage HCC. The area under the curve (AUC) was 0.94. For early-stage HCC, the pooled sensitivity and specificity of the GALAD model were 0.83 (95% CI: 0.78, 0.87) and 0.81 (95% CI: 0.78, 0.83), respectively. The AUC was 0.90. CONCLUSION: This meta-analysis confirmed that the GALAD model has excellent diagnostic performance for early-stage and all-stage HCC and can maintain high sensitivity and specificity in early-stage HCC. Therefore, the GALAD model is qualified for screening early-stage canceration from chronic liver disease. Show more

Keywords: HCC, logistic models, biomarkers, diagnostic efficiency, early detection of cancer

DOI: 10.3233/THC-231470

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3047-3061, 2024

Authors: Terzi, Mithat | Buyuk, Suleyman Kutalmış | Akdemir, Hale

Article Type: Research Article

Abstract: BACKGROUND: Botulinum toxin, commonly referred to as botox, is frequently used in facial aesthetics, but also has therapeutic applications in various medical and surgical conditions such as bruxism treatment. OBJECTIVE: The aim of this research is to evaluate the information quality of only English resources available on the Internet regarding the use of botulinum toxin in the treatment of bruxism. METHODS: The terms “Botox + Tooth Grinding” selected for this study were searched on the Internet using the Google Search Engine, and the URLs of the top 150 websites containing …only English pages were recorded and examined. The websites were assessed using DISCERN tools, the Journal of the American Medical Association (JAMA) benchmark, and HONcode tools. The website readability evaluation involved utilizing the Flesch Reading Ease Score (FRES) and the Flesch-Kincaid Grade Level (FKGL). RESULTS: A total of 130 websites met the inclusion criteria. The total mean DISCERN score (section 1 + section 2) for all websites was 39.75/75 (range: 15–67). The average FRES of all websites was 52.79, and the average FKGL score of all websites was 10.72. Internet blog websites had significantly higher DISCERN (Section 1) scores than other websites (p = 0.007). Only one website had the HON code. Internet blog websites showed better compliance with JAMA (authorship and currency) benchmarks. No statistically significant difference was determined related to FRES and FKGL scores between groups (p > 0.05). CONCLUSIONS: There is moderate and difficult-to-read information on the Internet about masseter botox injection for bruxism. Relevant guidelines are needed to improve the quality of websites about botulinum toxin for the treatment of bruxism. Show more

Keywords: Botox, bruxism, dentistry, Internet

DOI: 10.3233/THC-231674

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3063-3071, 2024

Authors: Liang, Yan | Wang, Dan

Article Type: Research Article

Abstract: BACKGROUND: The number of studies which investigate the association between TLR9 gene polymorphism and Helicobacter pylori (H.pylori) infection is low and their results are not consistent. OBJECTIVE: To get a better understanding of the association between TLR9 gene polymorphism and H.pylori infection, providing basis and risk assessment for precision nursing for hospital nurses. METHODS: A total of 630 normal physical examination subjects were collected including 240 H.pylori (+ ) and 390 H.pylori (- ) subjects. PCR-RFLP was applied to investigate the present polymorphism. At the same time, the meta-analysis …was performed between TLR9 gene polymorphism and H.pylori infection risk. RESULTS: Three genotypes (TT, TC, and CC) were observed for TLR9 gene rs187084 polymorphism. CC genotype and C allele were responsible for the significant associations (all P < 0.05). Meta-analysis found no significant associations were found by any genetic models (all P > 0.05). CONCLUSION: TLR9 polymorphism has a crucial role in H.pylori infection risk and CC genotype confers increased risk to H.pylori infection in the Southern Chinese population. After understanding the influence of TLR9 gene polymorphism on H.pylori infection, nurses can improve the risk assessment of Helicobacter pylori infection and provide health education more personally. Show more

Keywords: TLR9, gene polymorphism, Helicobacter pylori infection, meta-analysis, precision nursing

DOI: 10.3233/THC-231677

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3073-3082, 2024

Authors: Gao, Fei | Wang, Yongcun | Li, Hao | Yin, Jilai

Article Type: Research Article

Abstract: BACKGROUND: Cervical cancer (CC) is a common female malignancy, with a global incidence rate second only to breast cancer. OBJECTIVE: To propose a new idea for early treatment and auxiliary diagnosis of CC by exploring the diagnostic and prognostic implications of serum miR-182 in CC. METHODS: We enrolled 70 CC patients, 35 cervical intraepithelial neoplasia (CIN) patients and 35 healthy controls (HCs), who visited The First Affiliated Hospital of Hainan Medical College Hospital between January 2015 and April 2016. miR-182 expression was quantified by real-time quantitative PCR and compared among the three groups. …The correlation of serum miR-182 expression with patients’ clinical features was evaluated. The receiver operating characteristic curve (ROC) and the Kaplan-Meier method were used to evaluate the early diagnostic value and prognostic value of serum miR-182. Cox regression analysis was performed to determine serum miR-182 expression and its important role in predicting CC patients’ prognosis. RESULTS: Serum miR-182 expression was determined to be 0.345 ± 0.094, 0.369 ± 0.076, and 0.586 ± 0.157 in CC patients, CIN patients, and HCs, respectively (P < 0.001). Serum miR-182 expression had an obvious association with lymph node metastasis and pathological differentiation (P < 0.05). The area under the ROC curve (AUC) of serum miR-182 was 0.709 (95% CI: 0.622–0.795), the critical value was 0.456, the sensitivity was 81.4%, and the specificity was 52.9%. CC patients were grouped as either the low- (miR-182 < 0.3) or high-level group (miR-182 ⩾ 0.03) based on serum miR-182 levels, and a Cox regression model of OS was established. Serum miR-182 expression was identified as a factor independently influencing CC patients’ OS (P = 0.028); the death risk of the high-level group was 3.246 times that of the low-level group. CONCLUSION: Serum miR-182 expression is not only a biomarker for early diagnosis of CC, but also one of the independent factors influencing the survival and prognosis of CC patients. Show more

Keywords: Serum miR-182, cervical cancer, diagnosis, prognosis

DOI: 10.3233/THC-231681

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3083-3095, 2024

Authors: Yaqoob, Ashfaq | Chaturvedi, Saurabh | Khader, Mohasin Abdul | Kamran, Muhammad Abdullah | Alam, Tanveer | Elmahdi, Asim Elsir | Suleman, Ghazala

Article Type: Research Article

Abstract: BACKGROUND: Any manipulation of the surface of natural teeth may result in a variation of their colour. The fixed orthodontic treatment (FOT) is one such procedure which alters the enamel surface during the procedure. OBJECTIVE: To clinically evaluate the colour changes in teeth associated with comprehensive FOT (to compare the changes in test and control groups) and to determine the relationship of age and gender on enamel colour due to FOT by using an advanced spectrophotometer. METHODS: The selection of sixty patients for the study was done randomly and among these thirty patients …who underwent the FOT as the case group, the other thirty patients who did not need FOT, were the control group. The recordings of spectrophotometric data were done in a standardized manner for all patients in the labial circular region of every anterior tooth, following debonding and cleaning operations, and before bracket bonding. The Commission Internationale de l’Eclairage’s L*, a*, and b* (lightness, red/green, and blue/yellow) tooth-type characteristics were used to measure color, and the associated color differences (DE) between the groups were computed. One-way ANOVA (a < 0.05) and the paired t -test were used to evaluate any changes in these color characteristics. RESULTS: Fixed orthodontic treatment is associated with changes in colour parameters. L* values decreased (P < 0.001), while a* and b* values increased (P < 0.001) at the end of treatment. All measured tooth types showed significant colour change (DE); their mean differences ranged from 1.64 to 2.96 DE units. CONCLUSIONS: Fixed orthodontics can change the natural colour of teeth. The CIE colour parameters L*, a*, and b* of natural teeth showed statistically significant differences after debonding the orthodontic appliances. The L* values decreased making the teeth look darker. The adolescent and male patients had more tooth colour changes than the adult and female groups. Show more

Keywords: Fixed appliance orthodontic treatment, colour changes in enamel, spectrophotometer, CIE

DOI: 10.3233/THC-231756

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3097-3108, 2024

Authors: Mittal, Priya | Jadhav, Ganesh Ranganath | Abdul Kader M, Mohammed | Al-Qarni, Mohammed A. | Sindi, Abdulelah Sameer | Cicciù, Marco | Minervini, Giuseppe

Article Type: Research Article

Abstract: BACKGROUND: Dental education is considered as a complex, challenging and often stressful educational procedure. Acquisition of psychomotor skills by undergraduate students is an important step in many health professions to become a successful professional. During under graduation, class II cavity preparation exercise is of utmost important in dentistry. OBJECTIVE: To compare class II cavities prepared by students after hands-on live demonstration and pre-recorded video demonstration using well-organised evaluation rubrics. METHOD: Preclinical dental students (n = 50) were divided into two groups. The students in group I (n = …25) attended a hands-on live demonstration performed by one faculty while students in group II (n = 25) watched a 15-minute pre-recorded procedural video on the projector. Both groups were appealed to prepare class II cavity for amalgam involving disto-occlusal surface of mandibular second molar articulated on jaw model (TRU LON study model, Jayna industries, Ghaziabad U.P., India). Following completion of the preparations, all teeth were collected, and labelled grades of prepared cavities were given according to prespecified rubrics. The data of scores were presented as means and standard deviation. Statistical analysis of data was executed using SPSS software. A paired t-test was used to compare scores between groups. RESULTS: The study shows that the video-supported demonstration of a cavity preparation was better than the live hands-on demonstration. A higher mean response for the procedural video group was found compared to the live demonstration group (p = 0.000133). CONCLUSION: Pre-recorded video-supported demonstration along with guidance by a tutor may be a viable alternative to hands-on live demonstration in cavity preparation procedures during undergraduate dental training. Moreover, rubric methods can be implemented in the teaching of various preclinical exercises for conservative dentistry and endodontics. Show more

Keywords: Dental undergraduates, educational measurement, education, dental, hands-on demonstration, video recording

DOI: 10.3233/THC-231757

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3109-3117, 2024

Authors: Li, Chao | He, Gang | Mi, Zeyu | Huang, Daxin | Hu, Yulin

Article Type: Research Article

Abstract: BACKGROUND: Currently, surgery is the mainstay of the clinical treatment of vestibular migraine. OBJECTIVE: To investigate the clinical efficacy and safety of using transesophageal echocardiography-guided interventional closure of the patent foramen ovale (PFO) in the treatment of vestibular migraine. METHODS: The study included 52 patients with vestibular migraine who were admitted to our hospital between June 2019 and June 2021. All selected patients underwent a transesophageal echocardiography-guided interventional closure of the PFO and were followed up for one year after surgery. We observed the clinical efficacy and surgical success rate one year after …surgery and compared the improvement in clinical symptoms and perioperative safety at different time points. RESULTS: The overall remission rate and the surgical success rate for the 52 patients with vestibular migraine one year after surgery were 86.54% and 96.15%, respectively. Compared to the pre-surgery levels, there was a significant progressively decreasing trend in the scores on the Headache Impact Test-6 (HIT-6), Visual Analogue Scale (VAS), Migraine Disability Assessment (MIDAS) questionnaire, frequency of headaches, and duration of headaches in patients with vestibular migraine at 1, 3, and 6 months after surgery (P < 0.05). Among the 52 patients, one developed atrial fibrillation three hours after surgery, which then spontaneously converted to sinus rhythm, and none of the other patients had adverse outcomes such as hematoma at the puncture site during the perioperative period. CONCLUSION: Transesophageal echocardiography-guided interventional closure of the PFO for treating vestibular migraine significantly improved the symptoms of migraine in patients, with a high surgical success rate, significant clinical efficacy, and favorable safety. Show more

Keywords: Efficacy, interventional closure, patent foramen ovale, safety, transesophageal echocardiography, vestibular migraine

DOI: 10.3233/THC-231815

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3119-3125, 2024

Authors: Li, Bangju

Article Type: Research Article

Abstract: BACKGROUND: Standardised management of day surgery for haemorrhoids and achieving standardised nursing in the painless ward of colorectal surgery are important. OBJECTIVE: To explore the role of segmented nursing pathways in patients undergoing day surgery for anorectal procedures and to provide theoretical and practical guidance for day surgery nursing. METHODS: A total of 146 patients undergoing anorectal surgery in our day surgery ward between April 2023 and July 2023 were selected as the study participants, with 74 patients in the control group receiving routine nursing and 72 patients in the experimental group receiving …segmented nursing. The preoperative preparedness, preoperative anxiety, complication rate, discharge preparedness and nursing satisfaction were compared between the two groups. RESULTS: The experimental group had higher rates of admission before 8:30 am (77.78% vs 45.95%), awareness of the day surgery process (63.89% vs 24.32%), completion rate of preoperative preparation (81.94% vs 59.46%), satisfaction with preoperative preparation (94.44% vs 74.32%), discharge preparedness (112.42 ± 3.28 vs 95.82 ± 3.41) and nursing satisfaction (97.22% vs 70.27%) compared with the control group (P < 0.05). After the intervention, the self-rating anxiety scale score (43.14 ± 12.44 vs 52.51 ± 13.21) and the self-rating depression scale score (45.03 ± 11.37 vs 55.37 ± 10.14) were lower in the experimental group than in the control group (P < 0.05). CONCLUSION: Segmented nursing pathways can improve the preoperative preparedness of patients undergoing day surgery for anorectal procedures, alleviate patient anxiety, enhance discharge preparedness, improve the quality of nursing care and increase nursing satisfaction. Show more

Keywords: Segmented nursing, daytime anorectal surgery, preoperative preparedness, preoperative anxiety, discharge preparedness, nursing satisfaction

DOI: 10.3233/THC-231823

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3127-3137, 2024

Authors: Liu, Lei | Guo, Jing | Ding, Kun | Zhou, Guang-Nao | Feng, Yin-Ping | Zhang, Na-Na

Article Type: Research Article

Abstract: BACKGROUND: Globally, pulmonary tuberculosis is a significant public health and social problem. OBJECTIVE: We investigated the factors influencing the hospitalization cost of patients with pulmonary tuberculosis and grouped cases based on a decision tree model to provide a reference for enhancing the management of diagnosis-related groups (DRGs) of this disease. METHODS: The data on the first page of the medical records of patients with the primary diagnosis of pulmonary tuberculosis were extracted from the designated tuberculosis hospital. The influencing factors of hospitalization cost were determined using the Wilcoxon rank sum test and multiple …linear stepwise regression analysis, and the included cases were grouped using the chi-squared automated interaction test decision tree model, with these influential factors used as classification nodes. In addition, the included cases were grouped according to the ZJ-DRG grouping scheme piloted in Zhejiang Province, and the differences between the two grouping methods were compared. RESULTS: The length of hospital stay, respiratory failure, sex, and age were the determining factors of the hospitalization cost of patients with pulmonary tuberculosis, and these factors were incorporated into the decision tree model to form eight case combinations. The reduction in variance (RIV) using this grouping method was 60.60%, the heterogeneity between groups was high, the coefficients of variance ranged from 0.29 to 0.47, and the intra-group difference was small. The patients were also divided into four groups based on the ZJ-DRG grouping scheme piloted in Zhejiang Province. The RIV using this grouping method was 55.24, the differences between groups were acceptable, the coefficients of variance were 1.00, 0.61, 0.77, and 0.87, respectively, and the intra-group difference was significant. CONCLUSION: When the pulmonary tuberculosis cases were grouped according to the duration of hospital stay, respiratory failure, and age, the results were rather reasonable, providing a reference for DRG management and cost control of this disease. Show more

Keywords: Decision tree model, disease-related diagnostic grouping, hospitalization costs, influencing factors, pulmonary, tuberculosis

DOI: 10.3233/THC-231827

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3139-3152, 2024

Authors: Wang, Tong-Yue | Guo, Jin-Yuan | Zhou, Zhen | Li, Shi-Yi | Li, Shao-Bing | Xu, Shu-Lan

Article Type: Research Article

Abstract: BACKGROUND: The substitution of missing teeth with implants is a dependable and anticipated therapeutic approach. Despite numerous studies affirming long-term success rates, there exists a spectrum of potential biological and aesthetic complications. OBJECTIVE: The primary objective of this study was to assess patient responses subsequent to surgical interventions, with a specific emphasis on the utilization of xenogenic collagen matrix (XCM), both with and without the application of a stent secured over healing abutments, in the context of keratinized gingival mucosa augmentation. The principal aim was to evaluate and draw comparisons between the clinical outcomes resulting from these …two procedural approaches, with a particular focus on critical parameters encompassing post-operative complications, patient comfort, and the overall efficacy in achieving successful keratinized tissue augmentation. METHODS: Sixty patients were selected for this study. The patients were divided into three groups: A, B, and a control group, with each group comprising 20 participants. We used XCM in experimental group A, XCM covered with surgical stent in experimental group B, and free gingival graft (FGG) in the control group. After the surgical procedure, patients were required to complete a visual analogue scale (VAS) questionnaire for post-operative complications, and a quality of life (QOL) questionnaire on days 1, 3, and 7. RESULTS: Patients in the experimental groups A and B demonstrated markedly improved outcomes when compared with the control group. Assessments conducted on days 1, 3, and 7 demonstrated diminished levels of pain, bleeding, and swelling in both experimental groups, with experimental group B showing the least discomfort. The incorporation of XCM, either with or without stents, was associated with a reduction in analgesic consumption, underscoring its favorable influence on post-operative comfort, notwithstanding the exception of halitosis in experimental group B. CONCLUSION: Using XCM with or without a stent for keratinized tissue augmentation has better post-operative outcomes associated with reduced swelling, bleeding, and pain based on the QOL survey. This study provides data to support the clinical application of XCM and stents. Show more

Keywords: Collagen matrix, dental implants, keratinized mucosa, stents

DOI: 10.3233/THC-231863

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3153-3166, 2024

Authors: Jin, Ning | Zhan, Xiao

Article Type: Research Article

Abstract: BACKGROUND: Visualization of sports has a lot of potential for future development in data sports because of how quickly things are changing and how much sports depend on data. Presently, conventional systems fail to accurately address sports persons’ dynamic health data change with less error rate. Further, those systems are unable to distinguish players’ health data and their visualization in a precise manner. An excellent starting point for building fitness solutions based on computer vision technology is the data visualization technology that arose in the age of big data analytics. OBJECTIVE: This research presents a Big …Data Analytic assisted Computer Vision Model (BD-CVM) for effective sports persons healthcare data management with improved accuracy and precision. METHODS: The fitness and health of professional athletes are analyzed using information from a publicly available sports visualization dataset. Machine learning-assisted computer vision dynamic algorithm has been used for an effective image featuring and classification by categorizing sports videos through temporal and geographical data. RESULTS: The significance of big data’s great potential in screening data during a sporting event can be reasonably analyzed and processed effectively with less error rate. The proposed BD-CVM utilized an error analysis module which can be embedded in the design further to ensure the accuracy requirements in the data processing from sports videos. CONCLUSION: The research findings of this paper demonstrate that the strategy presented here can potentially improve accuracy and precision and optimize mean square error in sports data classification and visualization. Show more

Keywords: Big data, computer vision, data processing, sports visualization, recurrent neural network (RNN)

DOI: 10.3233/THC-231875

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3167-3187, 2024

Authors: Si, Tongguo | Guo, Yongfei | Yang, Mao

Article Type: Research Article

Abstract: BACKGROUND: The most effective clinical treatment for hepatocellular carcinoma (HCC) is surgery, but most patients are diagnosed when the disease has progressed. OBJECTIVE: To examine the long-term prognosis and clinical effectiveness of PD-L1 inhibitor-targeted therapy for patients suffering from HCC. METHODS: Ninety-six patients with advanced HCC who were admitted to our hospital between December 2019 and April 2022 were split into two groups based on the treatment plan after a retrospective analysis: 43 patients in the control group underwent sorafenib-based targeted therapy, while dulvalizumab was used to treat 53 patients in the observation …group. Observation indexes were used to assess the clinical effectiveness and long-term prognosis of HCC patients receiving targeted therapy with dulvalizumab, which included the disease control rate, tumor markers, immune function, survival, quality of survival, and the occurrence of unfavorable side effects such as thrombocytopenia, leukopenia, vomiting, and rash. RESULTS: The initial KPS scores, CEA, CA199, AFP, CD3+ , CD4+ , CD4+ /CD8+ , IgG, IgM, and IgA levels did not differ significantly between the two groups (P > 0.05). After treatment, the observation group showed a significantly higher disease control rate (92.45% vs. 74.42%) and improved KPS score, OS, PFS, CD3+ , CD4+ , CD4+ /CD8+ , IgG, IgM, and IgA levels compared to the control group. Additionally, the observation group exhibited significantly reduced CEA, CA199, and AFP levels, and a lower overall incidence of adverse reactions (16.98% vs. 51.16%) compared to the control group (P < 0.05). CONCLUSION: The clinical efficacy of dulvalizumab-targeted treatment of HCC among PD-L1 inhibitors is better, enhancing the disease’s ability to be controlled considerably lowering patients’ levels of tumor markers. This greatly boosts patients’ immune systems, extends their lives and improves the quality of their survival. The frequency of negative reactions is minimal and safe. Show more

Keywords: PD-L1 inhibitor, dulvalizumab, hepatocellular carcinoma, clinical efficacy, long-term prognosis

DOI: 10.3233/THC-231876

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3189-3200, 2024

Authors: Cheng, Weigen | Xu, Cheng | Wang, Fen | Ding, Yongmin | Tu, Jianglong | Xia, Linglin

Article Type: Research Article

Abstract: BACKGROUND: Obstructive sleep apnea (OSA) is a common sleep disordered breathing disorder, which can cause serious damage to multiple human systems. Although polysomnography (PSG) is the current gold standard for diagnosis, it is complex and expensive. Therefore, it is of great significance to find a simple, economical and rapid primary screening and diagnosis method to replace PSG for the diagnosis of OSA. OBJECTIVE: The purpose of this study is to propose a new method for the diagnosis and classification of OSA, which is used to automatically detect the duration of sleep apnea hypopnea events (AHE), so …as to estimate the ratio(S) of the total duration of all-night AHE to the total sleep time only based on the sound signal of sleep respiration, and to identify OSA. METHODS: We performed PSG tests on participants and extracted relevant sleep breathing sound signal data. This study is carried out in two stages. In the first stage, the relevant PSG report data of eligible subjects were recorded, the total duration of AHE in each subject’s data was extracted, and the S value was calculated to evaluate the severity of OSA. In the second stage, only the sleep breath sound signal data of the same batch of subjects were used for automatic detection, and the S value in the sleep breath sound signal was extracted, and the S value was compared with the PSG diagnosis results to calculate the accuracy of the experimental method. RESULTS: Among 225 subjects. Using PSG as the reference standard, the S value extracted from the PSG diagnostic data report can accurately diagnose OSA(accuracy rate 99.56%) and distinguish its severity (accuracy rate 95.11%). The accuracy of the S value detected in the sleep breathing sound signal in the diagnosis of severe OSA reached 100%. CONCLUSION: The results show that the experimental parameter S value is feasible in OSA diagnosis and classification. OSA can be identified and evaluated only by sleep breathing sounds. This method helps to simplify the diagnostic grading of traditional OSA and lays a foundation for the subsequent development of simple diagnostic grading equipment. Show more

Keywords: Obstructive sleep apnea, sound, Duration, diagnosis and classification

DOI: 10.3233/THC-231900

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3201-3215, 2024

Authors: Fujimura, Soichiro | Yamanaka, Yuma | Kan, Issei | Nagao, Masahiro | Otani, Katharina | Karagiozov, Kostadin | Fukudome, Koji | Ishibashi, Toshihiro | Takao, Hiroyuki | Motosuke, Masahiro | Yamamoto, Makoto | Murayama, Yuichi

Article Type: Research Article

Abstract: BACKGROUND: The current 3D-iFlow application can only measure the arrival time of contrast media through intensity values. If the flow rate could be estimated by 3D-iFlow, patient-specific hemodynamics could be determined within the scope of normal diagnostic management, eliminating the need for additional resources for blood flow rate estimation. OBJECTIVE: The aim of this study is to develop and validate a method for measuring the flow rate by data obtained from 3D-iFlow images – a prototype application in Four-dimensional digital subtraction angiography (4D-DSA). METHODS: Using phantom model and experimental circuit with circulating glycerin …solution, an equation for the relationship between contrast media intensity and flow rate was developed. Applying the equation to the aneurysm phantom models, the derived flow rate was evaluated. RESULTS: The average errors between the derived flow rate and setting flow rate became larger when the glycerin flow and the X-rays from the X-ray tube of the angiography system were parallel to each other or when the measurement point included overlaps with other contrast enhanced areas. CONCLUSION: Although the error increases dependent on the imaging direction and overlap of contrast enhanced area, the developed equation can estimate the flow rate using the image intensity value measured on 3D-iFlow based on 4D-DSA. Show more

Keywords: Aneurysm, four-dimensional digital subtraction angiography, hemodynamics

DOI: 10.3233/THC-231906

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3217-3230, 2024

Authors: Selvakumar, K. | Lokesh, S.

Article Type: Research Article

Abstract: BACKGROUND: Medical imaging techniques have improved to the point where security has become a basic requirement for all applications to ensure data security and data transmission over the internet. However, clinical images hold personal and sensitive data related to the patients and their disclosure has a negative impact on their right to privacy as well as legal ramifications for hospitals. OBJECTIVE: In this research, a novel deep learning-based key generation network (Deep-KEDI) is designed to produce the secure key used for decrypting and encrypting medical images. METHODS: Initially, medical images are pre-processed by …adding the speckle noise using discrete ripplet transform before encryption and are removed after decryption for more security. In the Deep-KEDI model, the zigzag generative adversarial network (ZZ-GAN) is used as the learning network to generate the secret key. RESULTS: The proposed ZZ-GAN is used for secure encryption by generating three different zigzag patterns (vertical, horizontal, diagonal) of encrypted images with its key. The zigzag cipher uses an XOR operation in both encryption and decryption using the proposed ZZ-GAN. Encrypting the original image requires a secret key generated during encryption. After identification, the encrypted image is decrypted using the generated key to reverse the encryption process. Finally, speckle noise is removed from the encrypted image in order to reconstruct the original image. CONCLUSION: According to the experiments, the Deep-KEDI model generates secret keys with an information entropy of 7.45 that is particularly suitable for securing medical images. Show more

Keywords: Medical image encryption, speckle noise, deep learning, zigzag pattern, generative adversarial network

DOI: 10.3233/THC-231927

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3231-3251, 2024

Authors: Oh, Sungyeon | Ko, Chang-Yong | Lee, Jaewon | Nekar, Daekook M. | Kang, Hyeyoon | Kim, Hansung | Yu, Jaeho

Article Type: Research Article

Abstract: BACKGROUND: Delayed onset muscle soreness (DOMS) is one of the most prevalent musculoskeletal symptoms in individuals engaged in strenuous exercise programs. OBJECTIVE: This study investigated the effects of wearable low-intensity continuous ultrasound on muscle biomechanical properties during DOMS. METHODS: Twenty volunteers were distributed into a wearable ultrasound stimulation group (WUG) (n = 10) and medical ultrasound stimulation group (MUG) (n = 10). All subjects performed wrist extensor muscle strength exercises to induce DOMS. At the site of pain, ultrasound of frequency 3 MHz …was applied for 1 h or 5 min in each subject of the WUG or MUG, respectively. Before and after ultrasound stimulation, muscle biomechanical properties (tone, stiffness, elasticity, stress relaxation time, and creep) and body temperature were measured, and pain was evaluated. RESULTS: A significant decrease was found in the tone, stiffness, stress relaxation time, and creep in both groups after ultrasound stimulation (all p < 0.05). A significant decrease in the pain and increases in temperature were observed in both groups (all p < 0.05). No significant differences were observed between the groups in most evaluations. CONCLUSION: The stiffness and pain caused by DOMS were alleviated using a wearable ultrasound stimulator. Furthermore, the effects of the wearable ultrasound stimulator were like those of a medical ultrasound stimulator. Show more

Keywords: Wearable low-intensity continuous ultrasound, muscle biomechanical properties, delayed onset muscle soreness, biomechanics, medical devices

DOI: 10.3233/THC-231947

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3253-3262, 2024

Authors: Zheng, Xuna | Wang, Xianglong | Zhu, Pin

Article Type: Research Article

Abstract: BACKGROUND: With the improvement of the level of science and technology, diagnosis and treatment technology of ophthalmology has continuously improved, especially with the rise of optical coherence tomography. Alternative methods have enabled clinicians to obtain more information and make greater breakthroughs in the occurrence and development of many ophthalmic diseases. OBJECTIVE: To investigate changes in retinal structure in the macular area of senile diabetic cataract patients undergoing cataract phacoemulsification. METHODS: This was a prospective cohort study. A total of 68 cataract patients (78 eyes) who voluntarily received phacoemulsification combined with intraocular lens implantation …in the Department of Ophthalmology of our hospital from December 2018 to December 2021 were selected. They were divided into A (diabetic) and B (non-diabetic) according to whether they were complicated with diabetes. There were 24 cases (28 eyes) in A and 44 cases (50 eyes) in B. Cataract patients were collected before and after surgery. Day, 1 week, and 1 month, data on the average thickness of the fovea retina and thickness of the retinal nerve fiber layer around the optic disc (average thickness, nasal thickness, topic side thickness, upper thickness, and lower thickness) were statistically analyzed analyze. RESULTS: The average retinal thickness of the macular fovea in Group A was found to be greater than that of Group B, however, there was no statistically significant difference between the two groups. At week one and week thirty, Group A’s layer of retinal nerve fibers surrounding the optic disc thickened; there was no discernible difference between the two groups. One week and one month following surgery, however, showed a one-week difference in upper thickness compared to preoperative days. There was no discernible change between the preoperative and 1-day times. CONCLUSION: Both diabetic cataract patients and simple age-related cataract patients will have different degrees of increased foveal retinal thickness after surgery. However, the foveal retinal thickness of patients with diabetes increases more. Show more

Keywords: Optical coherence tomography angiography, phacoemulsification, senile cataract, blood flow density, retinal thickness, foveal avascular area

DOI: 10.3233/THC-231966

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3263-3277, 2024

Authors: Yao, Ni | Hu, Hang | Han, Chuang | Nan, Jiaofen | Li, Yanting | Zhu, Fubao

Article Type: Research Article

Abstract: BACKGROUND: The incidence of kidney tumors is progressively increasing each year. The precision of segmentation for kidney tumors is crucial for diagnosis and treatment. OBJECTIVE: To enhance accuracy and reduce manual involvement, propose a deep learning-based method for the automatic segmentation of kidneys and kidney tumors in CT images. METHODS: The proposed method comprises two parts: object detection and segmentation. We first use a model to detect the position of the kidney, then narrow the segmentation range, and finally use an attentional recurrent residual convolutional network for segmentation. RESULTS: Our …model achieved a kidney dice score of 0.951 and a tumor dice score of 0.895 on the KiTS19 dataset. Experimental results show that our model significantly improves the accuracy of kidney and kidney tumor segmentation and outperforms other advanced methods. CONCLUSION: The proposed method provides an efficient and automatic solution for accurately segmenting kidneys and renal tumors on CT images. Additionally, this study can assist radiologists in assessing patients’ conditions and making informed treatment decisions. Show more

Keywords: Computed tomography, kidney segmentation, deep learning, medical image processing

DOI: 10.3233/THC-232009

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3279-3292, 2024

Authors: Lee, Soo Yong | Choi, Yu Sik | Kim, Min Hyuk | Chang, Woo Nam

Article Type: Research Article

Abstract: BACKGROUND: Despite the explosive increase in interest regarding Robot-Assisted Walking Training (RAWT) for stroke patients, very few studies have divided groups according to the severity levels of patients and conducted studies on the effects of RAWT. OBJECTIVE: The purpose of this study was to present a definite basis for physical therapy using the robot-assisted walking device through a more detailed comparison and analysis and to select the optimal target of RAWT. METHODS: This study was designed as a prospective and randomized controlled trial to investigate the effect of RAWT on balance, motor …function, and Activities of Daily Living (ADL) depending on severity levels in stroke patients. 100 participants were randomly divided into study and control groups in equal numbers. The study group was 49 and the control group was 47. One from the study group and three from the control group were eliminated. The study period is four weeks in total, and RAWT is performed five times a week for 40 minutes only for study group. During the same period, all group members had 30 minutes of Conventional Physiotherapy (CP) five times a week. RESULTS: The results of this study clearly confirmed that RAWT combined with CP produces more significant improvement in patients with stroke than the CP alone. And they indicated that RAWT had a more considerable effect in the poor or fair trunk control group for trunk balance and in the high fall risk group for balance. In motor function, RAWT showed its value in the severe and marked motor impairment group. The total or severe dependence group in ADL experienced more improvements for RAWT. CONCLUSION: This study can be concluded that the lower the level of physical functions, the more effective it responds to RAWT. As demonstrated in the results of this study, the potential of current robotic technology appears to be greatest at very low functional levels of stroke patients. Patients with low functional levels among stroke patients may benefit from robot rehabilitation. Show more

Keywords: ADL, balance, motor function, robot-assisted walking training, stroke

DOI: 10.3233/THC-232015

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3293-3307, 2024

Authors: von Hertzberg-Boelch, Sebastian Philipp | Rudert, Maximilian | Haker, Felix | Groll, Juergen | Ewald, Andrea

Article Type: Research Article

Abstract: BACKGROUND: The formation of biofilms, characterized by cell aggregation and extracellular polymeric substance (EPS) production, is a common feature of periprosthetic joint infections (PJI). OBJECTIVE: The current study aimed to investigate the development of biofilm features in vitro within less than 3 weeks by Staphylococcus aureus isolated from PJIs. METHODS: Biofilms were grown on sandblasted titanium discs, and fluorescence spectroscopy and microscopy were used to observe biofilm maturation for 21 days. RESULTS: DNA mass decreased initially, then increased from day 5 onwards, and decreased again after day 7. The …proportion of living to dead bacteria oscillated until day 7 and increased at day 10 for strain A and day 14 for strain B. EPS mass decreased initially and then continuously increased. Multilayer bacterial organization was observed at day 7. CONCLUSION: Cell aggregation occurred during the first week, followed by EPS production in the second week, and characteristic biofilm features were observed within 1 to 2 weeks. Show more

Keywords: Biofilm, periprosthetic, infection, staphylococcus aureus, treatment

DOI: 10.3233/THC-232041

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3309-3315, 2024

Authors: Liang, Dakai | Liang, Dandan | Liu, Jin | Zheng, Yiying | Huang, Dehua | Li, Zeliang | Huang, Xiaoyu | Chen, Jiyan

Article Type: Research Article

Abstract: BACKGROUND: Despite the considerable progress made in preventative methods, medication, and interventional therapies, it remains evident that cardiovascular events (CVEs) continue to be the primary cause of both death and morbidity among individuals diagnosed with coronary artery disease (CAD). OBJECTIVE: To compare the connection between lipoprotein a (Lp[a]), fibrinogen (Fib), and both parameters combined with all-cause mortality to detect their value as prognostic biomarkers. METHODS: This is a retrospective study. Patients diagnosed with CAD between January 2007 and December 2020 at the Guangdong Provincial People’s Hospital (China) were involved in the study. 43,367 patients …met the eligibility criteria. The Lp(a) and Fib levels were distributed into three tertile groups (low, medium, and high). All of the patients included in the study were followed up for all-cause mortality. Kaplan–Meier and Cox regression were performed to determine the relationship between Lp(a), Fib, and all-cause mortality. A concordance statistics model was developed to detect the impact of Fib and Lp(a) in terms of anticipating poor outcomes in patients with CAD. RESULTS: Throughout a median follow-up of 67.0 months, 6,883 (15.9%) patients died. Participants with high Lp(a) (above 27.60 mg/dL) levels had a significantly higher risk for all-cause mortality than individuals with low Lp(a) levels (below 11.13 mg/dL; adjusted hazard ratio [aHR] 1.219, 95% confidence interval [CI]: 1.141–1.304, p < 0.001). Similarly, patients with high Fib levels (above 4.32 g/L) had a significantly greater risk of developing all-cause mortality compared with those with reduced Fib levels (below 3.41 g/L; aHR 1.415, 95% CI: 1.323–1.514, p < 0.001). Patients with raised Lp(a) and Fib levels had the maximum risk for all-cause mortality (aHR 1.702; 95% CI: 1.558–1.859, p < 0.001). When considered together, Lp(a) and Fib caused a significant elevation of the concordance statistic by 0.009 (p < 0.05), suggesting a higher value for predicting mortality when combining the two indicators. CONCLUSION: High Lp(a) and Fib levels could be used as predictive biomarkers for all-cause mortality in individuals with CAD. The prediction accuracy for all-cause mortality improved after combining the two parameters. Show more

Keywords: Lipoprotein(a), fibrinogen, coronary artery disease, all-cause mortality

DOI: 10.3233/THC-240005

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3317-3328, 2024

Authors: Azmy, Mohamed Moustafa

Article Type: Research Article

Abstract: BACKGROUND: Melanoma is a malignant skin cancer that causes high mortality. Early detection of melanoma can save patients’ lives. The features of the skin lesion images can be extracted using computer techniques to differentiate early between melanoma and benign skin lesions. OBJECTIVE: A new model of empirical wavelet decomposition (EWD) based on tan hyperbolic modulated filter banks (THMFBs) (EWD-THMFBs) was used to obtain the features of skin lesion images by MATLAB software. METHODS: The EWD-THMFBs model was compared with the empirical short-time Fourier decomposition method based on THMFBs (ESTFD-THMFBs) and the empirical Fourier …decomposition method based on THMFBs (EFD-THMFBs). RESULTS: The accuracy rates obtained for EWD-THMFBs, ESTFD-THMFBs, and EFD-THMFBs models were 100%, 98.89%, and 83.33%, respectively. The area under the curve (AUC) was 1, 0.97, and 0.91, respectively. CONCLUSION: The EWD-THMFBs model performed best in extracting features from skin lesion images. This model can be programmed on a mobile to detect skin lesions in rural areas by a nurse before consulting a dermatologist. Show more

Keywords: EFD, ESTFD, EWD, THMFBs, CMFBs, BILSTM, RNN

DOI: 10.3233/THC-240020

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3329-3339, 2024

Authors: Nanda, Ashok Kumar | Thilagavathy, R. | Gayatri Devi, G.S.K. | Chaturvedi, Abhay | Jalda, Chaitra Sai | Inthiyaz, Syed

Article Type: Research Article

Abstract: BACKGROUND: Dengue fever is rapidly becoming Malaysia’s most pressing health concern, as the reported cases have nearly doubled over the past decade. Without efficacious antiviral medications, vector control remains the primary strategy for battling dengue, while the recently introduced tetravalent immunization is being evaluated. The most significant and dangerous risk increasing recently is vector-borne illnesses. These illnesses induce significant human sickness and are transmitted by blood-feeding arthropods such as fleas, parasites, and mosquitos. A thorough grasp of various factors is necessary to improve prediction accuracy and typically generate inaccurate and unstable predictions, as well as machine learning (ML) models, …weather-driven mechanisms, and numerical time series. OBJECTIVE: In this research, we propose a novel method for forecasting vector-borne disease risk using Radial Basis Function Networks (RBFNs) and the Darts Game Optimizer (DGO) algorithm. METHODS: The proposed approach entails training the RBFNs with historical disease data and enhancing their parameters with the DGO algorithm. To prepare the RBFNs, we used a massive dataset of vector-borne disease incidences, climate variables, and geographical data. The DGO algorithm proficiently searches the RBFN parameter space, fine-tuning the model’s architecture to increase forecast accuracy. RESULTS: RBFN-DGO provides a potential method for predicting vector-borne disease risk. This study advances predictive demonstrating in public health by shedding light on effectively controlling vector-borne diseases to protect human populations. We conducted extensive testing to evaluate the performance of the proposed method to standard optimization methods and alternative forecasting methods. CONCLUSION: According to the findings, the RBFN-DGO model beats others in terms of accuracy and robustness in predicting the likelihood of vector-borne illness occurrences. Show more

Keywords: Deep learning (DL), dengue fever, radial basis function networks, darts game optimizer, vector-borne disease

DOI: 10.3233/THC-240046

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3341-3361, 2024

Authors: Liao, Liangchuang | Zhang, Guoan | Hu, Mingwei

Article Type: Research Article

Abstract: BACKGROUND: Human gait pattern recognition and compliance control are key technologies for achieving high coordination and assistance between exoskeleton robots and human movements. OBJECTIVE: In order to improve the adaptability of exoskeleton robots to the human body, this paper proposes an exoskeleton compliance control strategy based on dual interaction torque phase separation control method. METHODS: A support phase swing phase split control strategy based on dual interaction torque is proposed. Utilize the interaction force of human joints and adopt a model-based method to control the support phase. By utilizing the interaction force of exoskeleton …joints and using a torque closed-loop method to control the swing phase, a multi-state control method of motion is achieved. RESULTS: A lower limb exoskeleton knee joint testing platform is built to verify the proposed human gait recognition The effectiveness of human-machine interaction force identification and human-machine coupling system compliance control technology. CONCLUSION: The proposed control method can effectively adjust joint torque, enabling the exoskeleton robot to maintain balance and stability during the entire walking phase. Show more

Keywords: Exoskeleton robots, compliance control, pattern recognition

DOI: 10.3233/THC-240050

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3363-3381, 2024

Authors: Wu, Jianlei | Guo, Jing | Luo, Yong | Sun, Jianfeng | Xu, Liangwei | Zhang, Jianxing | Liu, Yunfeng

Article Type: Research Article

Abstract: BACKGROUND: As a new intelligent polymer material, shape memory polymer (SMP) was a potential orthodontic appliance material. OBJECTIVE: This study aimed to investigate the thermodynamic responses of SMP under different loads via finite element analysis (FEA). METHODS: FEA specimens with a specification of 0.1 × 0.1 × 1 mm were designed. One end of the specimen was fixed, and the other was subjected to displacement load. Different loading, cooling, and heating rates were separately exerted on the specimen in its shape recovery process and used to observe …the responses of the SMP constitutive model. Furthermore, specimens with various tensile elongation and sectional areas were simulated and used to elucidate their effect on shape recovering force. RESULTS: The specimens obtained a similar stress of 0.5, 0.44, and 1.07 Mpa for different loading, cooling, and heating rates after a long time. The shape recovering force of specimen increased from 0.0102 to 0.0315 N when the elongation improved from 10% to 40% and to 0.0408 N when the sectional areas were expanded to 0.2 × 0.2 mm. CONCLUSION: The stiffness of SMP was small at a high temperature but large at a low temperature. The effects of the loading, cooling, and heating rates on SMP can be eliminated after a long time. Furthermore, it was possible to increase the recovering force by increasing the elongation or expanding the sectional area of the specimen. The force was quadratically dependent on the elongation ratio. Show more

Keywords: Shape memory polymer, constitutive model, thermodynamic response, finite element analysis

DOI: 10.3233/THC-240078

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3383-3391, 2024

Authors: Zhao, Mei | Zhou, Hengyu | Wang, Jing | Liu, Yongyue | Zhang, Xiaoqing

Article Type: Research Article

Abstract: BACKGROUND: The theory of Chinese medicine (TCM) constitution contributes to the optimisation of individualised healthcare programmes. However, at present, TCM constitution identification mainly relies on inefficient questionnaires with subjective bias. Efficient and accurate TCM constitution identification can play an important role in individualised medicine and healthcare. OBJECTIVE: Building an efficient model for identifying traditional Chinese medicine constitutions using objective tongue features and machine learning techniques. METHODS: The DS01-A device was applied to collect tongue images and extract features. We trained and evaluated five machine learning models: Support Vector Machine (SVM), Decision Tree (DT), …Random Forest (RF), LightGBM (LGBM), and CatBoost (CB). Among these, we selected the model with the best performance as the base classifier for constructing our heterogeneous ensemble learning model. Using various performance metrics, including classification accuracy, precision, recall, F1 score, and area under curve (AUC), to comprehensively evaluate model performance. RESULTS: A total of 1149 tongue images were obtained and 45 features were extracted, forming dataset 1. RF, LGBM, and CB were selected as the base learners for the RLC-Stacking. On dataset 1, RLC-Stacking1 achieved an accuracy of 0.8122, outperforming individual classifiers. After feature selection, the classification accuracy of RLC-Stacking2 improved to 0.8287, an improvement of 0.00165 compared to RLC-Stacking1. RLC-Stacking2 achieved an accuracy exceeding 0.85 for identifying each TCM constitution type, indicating excellent identification performance. CONCLUSION: The study provides a reliable method for the accurate and rapid identification of TCM constitutions and can assist clinicians in tailoring individualized medical treatments based on personal constitution types and guide daily health care. The information extracted from tongue images serves as an effective marker for objective TCM constitution identification. Show more

Keywords: Traditional Chinese Medicine Constitution, constitution identification, tongue features, machine learning, ensemble learning

DOI: 10.3233/THC-240128

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3393-3408, 2024

Authors: Chen, Ruijuan | Wang, Rui | Fei, Jieying | Huang, Lengjie | Bi, Xun | Wang, Jinhai

Article Type: Research Article

Abstract: BACKGROUND: Mental fatigue has become a non-negligible health problem in modern life, as well as one of the important causes of social transportation, production and life accidents. OBJECTIVE: Fatigue detection based on traditional machine learning requires manual and tedious feature extraction and feature selection engineering, which is inefficient, poor in real-time, and the recognition accuracy needs to be improved. In order to recognize daily mental fatigue level more accurately and in real time, this paper proposes a mental fatigue recognition model based on 1D Convolutional Neural Network (1D-CNN), which inputs 1D raw ECG sequences of 5 s duration …into the model, and can directly output the predicted fatigue level labels. METHODS: The fatigue dataset was constructed by collecting the ECG signals of 22 subjects at three time periods: 9:00–11:00 a.m., 14:00–16:00 p.m., and 19:00–21:00 p.m., and then inputted into the 19-layer 1D-CNN model constructed in the present study for the classification of mental fatigue in three grades. RESULTS: The results showed that the model was able to recognize the fatigue levels effectively, and its accuracy, precision, recall, and F1 score reached 98.44%, 98.47%, 98.41%, and 98.44%, respectively. CONCLUSION: This study further improves the accuracy and real-time performance of recognizing multi-level mental fatigue based on electrocardiography, and provides theoretical support for real-time fatigue monitoring in daily life. Show more

Keywords: Mental fatigue, short-time electrocardiographic sequence, deep learning, 1D convolutional neural network

DOI: 10.3233/THC-240129

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3409-3422, 2024

Authors: Ji, Jiajia | Zhu, Min | Bao, Mengqian | Xu, Lamei | Yuan, Hui

Article Type: Research Article

Abstract: BACKGROUND: To enhance the self-management ability of elderly diabetes mellitus (DM) patients, priority should be given to the accurate evaluation of their current self-management ability, and then provide corresponding guidance. OBJECTIVE: To explore the application value of Diabetes Self-Management Behaviors among Older Koreans (DSMB-O) in self-management of elderly patients with type 2 diabetes mellitus (T2DM). METHODS: Using convenient sampling, this study retrospectively collected the clinical data of 215 elderly patients with T2DM who were admitted to our hospital from June 2020 to June 2022. Enrolled patients were divided into an effective-control group (n …= 80) and an ineffective-control group (n = 135) based on whether the glycated hemoglobin (HbA1C) was < 7.5% for further comparison of the collected data. RESULTS: There were statistically significant differences in the comparison of the proportion of diabetes mellitus (DM) course (χ 2 = 26.000, P < 0.001), DSMB-O score (17.67 ± 4.07 VS 14.67 ± 4.70 points, t = 4.582, P < 0.001), and Summary Diabetes Self Care Activity (SDSCA) score (43.16 ± 11.17 VS 37.58 ± 12.47 points, t = 5.492, P < 0.001) between the two groups. The total score of DSMB-O was negatively correlated with both HbA1c (r = - 0.281, P < 0.001) and complications (r = - 0.193, P = 0.004); moreover, the total score of SDSCA was also negatively correlated with both HbA1c (r = - 0.234, P < 0.001) and complications (r = - 0.153, P = 0.025). Among various dimensions of DSMB-O, active exercise (OR = 0.699, 95%CI: 0.541 ∼ 0.902) and blood glucose monitoring (OR = 0.603, 95%CI: 0.431 ∼ 0.817) were protective factors for T2DM patients with HbA1c levels < 7.5%. The area under the curve (AUC) of SDSCA score and DSMB-O score predicting self-management level in elderly T2DM patients was 0.643 (95%CI: 0.611 ∼ 0.756) and 0.716 (95%CI: 0.689∼ 0.774), respectively. CONCLUSION: DSMB-O exhibits a higher accuracy in predicting the self-management level of elderly patients with T2DM than that of SDSCA. Regular exercise, medication, blood glucose monitoring, and reducing the risk of complications are all intimately associated with the control of blood glucose. Show more

Keywords: Elderly, Type 2 diabetes, self-management behavior, influencing factors, health effects

DOI: 10.3233/THC-240138

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3423-3432, 2024

Authors: Auer, Simon | Süß, Franz | Dendorfer, Sebastian

Article Type: Research Article

Abstract: BACKGROUND: This study presents a comprehensive comparison between a marker-based motion capture system (MMC) and a video-based motion capture system (VMC) in the context of kinematic analysis using musculoskeletal models. OBJECTIVE: Focusing on joint angles, the study aimed to evaluate the accuracy of VMC as a viable alternative for biomechanical research. METHODS: Eighteen healthy subjects performed isolated movements with 17 joint degrees of freedom, and their kinematic data were collected using both an MMC and a VMC setup. The kinematic data were entered into the AnyBody Modelling System, which enables the calculation of …joint angles. The mean absolute error (MAE) was calculated to quantify the deviations between the two systems. RESULTS: The results showed good agreement between VMC and MMC at several joint angles. In particular, the shoulder, hip and knee joints showed small deviations in kinematics with MAE values of 4.8∘ , 6.8∘ and 3.5∘ , respectively. However, the study revealed problems in tracking hand and elbow movements, resulting in higher MAE values of 13.7∘ and 27.7∘ . Deviations were also higher for head and thoracic movements. CONCLUSION: Overall, VMC showed promising results for lower body and shoulder kinematics. However, the tracking of the wrist and pelvis still needs to be refined. The research results provide a basis for further investigations that promote the fusion of VMC and musculoskeletal models. Show more

Keywords: Biomechanics, range of motion, musculoskeletal system, optical motion capture

DOI: 10.3233/THC-240202

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3433-3442, 2024

Authors: Njezic, Sasa | Zivic, Fatima | Savic, Slobodan | Petrovic, Nenad | Pesic, Zivana Jovanovic | Stefanovic, Anja | Milenkovic, Strahinja | Grujovic, Nenad

Article Type: Research Article

Abstract: BACKGROUND: The biological properties of silicone elastomers such as polydimethylsiloxane (PDMS) have widespread use in biomedicine for soft tissue implants, contact lenses, soft robots, and many other small medical devices, due to its exceptional biocompatibility. Additive manufacturing of soft materials still has significant challenges even with major advancements that have occurred in development of these technologies for customized medical devices and tissue engineering. OBJECTIVE: The aim of this study was to develop a mathematical model of tangential stress in relation to shear stress, shear rate, 3D printing pressure and velocity, for non-Newtonian gels and fluids that …are used as materials for 3D printing. METHOD: This study used FENE (finitely extensible nonlinear elastic model) model, for non-Newtonian gels and fluids to define the dependences between tangential stress, velocity, and pressure, considering viscosity, shear stress and shear rates as governing factors in soft materials friction and adhesion. Experimental samples were fabricated as showcases, by SLA and FDM 3D printing technologies: elastic polymer samples with properties resembling elastic properties of PDMS and thermoplastic polyurethane (TPU) samples. Experimental 3D printing parameters were used in the developed analytical solution to analyse the relationships between governing influential factors (tangential stress, printing pressure, printing speed, shear rate and friction coefficient). Maple software was used for numerical modelling. RESULTS: Analytical model applied on a printed elastic polymer, at low shear rates, exhibited numerical values of tangential stress of 0.208–0.216 N m - 2 at printing velocities of 0.9 to 1.2 mm s - 1 , while the coefficient of friction was as low as 0.09–0.16. These values were in accordance with experimental data in literature. Printing pressure did not significantly influence tangential stress, whereas it was slightly influenced by shear rate changes. Friction coefficient linearly increased with tangential stress. CONCLUSION: Simple analytical model of friction for elastic polymer in SLA 3D printing showed good correspondence with experimental literature data for low shear rates, thus indicating possibility to use it for prediction of printing parameters towards desired dimensional accuracy of printed objects. Further development of this analytical model should enable other shear rate regimes, as well as additional soft materials and printing parameters. Show more

Keywords: Soft materials, tangential stress model, shear rate, friction coefficient, FENE (finitely extensible nonlinear elastic model), 3D printing

DOI: 10.3233/THC-240209

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3443-3462, 2024

Authors: Miura, Takanori | Takahashi, Tsuneari | Ae, Ryusuke | Takeshita, Katsushi | Miyakoshi, Naohisa

Article Type: Research Article

Abstract: BACKGROUND: A gradually reducing radius (GRADIUS) design implant can facilitate a smooth transition from stability through full range of motion in total knee arthroplasty (TKA). Nonetheless, patient-specific factors associated with good knee flexion remain unclear. OBJECTIVE: This study aimed to determine the factors associated with good knee flexion after cruciate-retaining TKA with a GRADIUS prosthesis in an Asian population. METHODS: This retrospective study included 135 patients that were stratified according to postoperative knee flexion angle (KFA) into Group F (⩾ 120∘ ; 85 patients [63.2%]) and Group NF (< …120∘ ; 50 patients [36.8%]). RESULTS: Patients in Group F were taller and had a lower body mass index (BMI) smaller preoperative hipkneeankle angle and better preoperative extension and flexion angle than Group NF patients. The multivariable analysis revealed that patients’ height (odds ratio [OR]: 1.07, P = 0.0150), BMI (OR: 0.85, P = 0.0049), and preoperative flexion angle (OR: 1.06, P = 0.0008) predicted good KFA. The ROC curve analysis showed that the cutoff values of a good KFA were height 155.1 cm, BMI 22.1 kg/m2 , and preoperative KFA 120∘ . CONCLUSIONS: Patient height, BMI, and preoperative KFA were independent factors affecting good postoperative KFA in patients of Asian descent who underwent cruciate-retaining TKA with a GRADIUS design. Show more

Keywords: Total knee arthroplasty, posterior cruciate ligament retaining, knee flexion, body mass index, height, knee implant

DOI: 10.3233/THC-240212

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3463-3471, 2024

Authors: Sun, Yuyan | Li, Qian

Article Type: Research Article

Abstract: BACKGROUND: Dental extraction or tooth extraction is a common clinical radical treatment surgery. OBJECTIVE: To explore the efficacy and safety of remimazolam in tooth extraction surgery in a randomized, single-blind, multi-center clinical trial. METHOD: Patients who underwent tooth extraction surgery at Jinan Stomatological Hospital from April 2022 to March 2023 were selected as the research subjects, and they were divided into a control group and an observation group using the random arrangement table method. The patients in the control group were anesthetized with midazolam, and the patients in the observation group were anesthetized …with remimazolam. Collect the general demographic data of the patients, use the propensity score matching method (PSM) to balance the baseline data of the two groups, and use t -test, chi-square test, and analysis of variance to compare the hemodynamics, anesthesia maintenance period indicators, and alertness/Sedation scores and occurrence of adverse reactions. RESULT: PSM matching was performed according to a 1:1 ratio, and 40 patients were included in the observation and control groups. There was no statistical significance in the baseline data of the two groups. Compared with T0 , the hemodynamic indexes of both groups of patients increased at T1 , T2 , T3 , T4 , and T5 (P < 0.05), but the indexes at T0 and T2 were the same. The same (P > 0.05), and the indicators of the observation group at T1 , T3 , T4 , and T5 were higher than those of the control group (P < 0.05); the administration time of the two groups of patients was the same (P > 0.05), but the observation group The recovery time and onset of effect were shorter than those in the control group (P < 0.05); at T0 , the clinical behavior scores of the two groups of patients were the same (P > 0.05), and at T1 , the scores of the observation group were lower than those of the control group (P < 0.05); at T0 and T1 , the alertness/sedation scores of the patients in the observation group were lower than those in the control group, but at T2 , the scores of the patients in the observation group were higher than those in the control group (P < 0.05); the total clinical adverse reactions of the patients in the observation group were The incidence rate (5.00%) was lower than that of the control group (30.00%) (P < 0.05). CONCLUSION: The use of remimazolam during tooth extraction can stabilize the patient’s hemodynamics, shorten the recovery and onset time, stabilize the patient’s behavior, have an excellent soothing effect, have fewer adverse reactions, and be safer, so it is worthy of use. Show more

Keywords: Remazolam, tooth extraction, sedation, safety, single-masked, multi-center

DOI: 10.3233/THC-240237

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3473-3484, 2024

Authors: Zhao, Tingting | Lv, Tian

Article Type: Research Article

Abstract: BACKGROUND: A significant proportion of interstitial lung disease (ILD) patients experience two or more comorbidities, leading to an increasing burden of disease, frequent hospitalizations, and premature death. OBJECTIVE: To investigate the causal relationship between serum metabolites and ILD in humans using Mendelian randomization. METHODS: Genetic loci closely related to human serum metabolites were selected as instrumental variables (IVs), with the inverse-variance weighted method (IVW) as the primary method and the weighted median method (WME) and MR-Egger regression as auxiliary methods for Mendelian randomization analysis of the data. Meanwhile, the causal relationship between human …serum metabolites and ILD was evaluated by OR, along with the assessment of the stability and reliability of the results via 3 methods, i.e., heterogeneity testing, gene pleiotropy testing, and sensitivity analysis. RESULTS: 8,234 single nucleotide polymorphism (SNP) loci were included as IV, among which 23 SNP loci were selected as IV. Specifically, IVW estimated that the risk of ILD in the anti-Jo-1 antibody-positive population was 4.122 times higher than that in the negative population (95% CI: 2.311–5.954, P < 0.001). IVW also supported a causal effect between anti-SSA antibody positivity and ILD (OR = 2.781, 95% CI: 1.413–4.350, P < 0.001). At the same time, MR-Egger fitted a linear relationship between erythrocyte sedimentation rate (ESR) (95% CI: 1.257–5.894, P = 0.002), C-reactive protein (CRP) (95% CI: 2.433–6.935, P = 0.001), and ILD. Additionally, heterogeneity testing with IVW and MR-Egger regression indicated no heterogeneity, and MR-Egger regression intercept and MR-PRESSO testing suggested minimal influence of gene pleiotropy on the results, without non-specific SNPs identified in the leave-one-out analysis. CONCLUSION: A positive causal relationship may exist between anti-Jo-1 antibody positivity, anti-SSA antibody positivity, elevated ESR, elevated CRP, and ILD. Show more

Keywords: Serum metabolites, interstitial lung disease, mendelian randomization, causal relationship

DOI: 10.3233/THC-240285

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3485-3496, 2024

Authors: Weber, Maximilian | Lenz, Maximilian | Wassenberg, Lena | Perera, Akanksha | Eysel, Peer | Scheyerer, Max Joseph

Article Type: Research Article

Abstract: BACKGROUND: Wound complications after lumbar spine surgery may result in prolonged hospitalization and increased morbidity. Early identification can trigger appropriate management. OBJECTIVE: The aim of this study was to investigate the efficacy of infrared-based wound assessment (FLIR) after lumbar spine surgery in the context of identifying wound healing disorders. METHODS: 62 individuals who underwent lumbar spine surgery were included. The immediate postoperative course was studied, and the patient’s sex, age, body mass index (BMI), heart rate, blood pressure, body temperature, numeric rating scale for pain (NRS), C-reactive protein (CRP), leukocyte, and hemoglobin levels …were noted and compared to thermographic measurement of local surface temperature in the wound area. RESULTS: Measurement of local surface temperature in the wound area showed a consistent temperature distribution while it was uneven in case of wound healing disorder. In this instance, the region of the wound where the wound healing disorder occured had a lower temperature than the surrounding tissue (p > 0.05). CONCLUSIONS: This study demonstrates the ongoing importance of clinical wound assessment for early detection of complications. While laboratory parameter measurement is crucial, FLIR may serve as a cost-effective supplemental tool in clinical wound evaluation. Patient safety risks appear minimal since local ST is measured without touch. Show more

Keywords: Infrared thermography, surgical site infection, spine surgery, skin, temperature

DOI: 10.3233/THC-240344

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3497-3504, 2024