Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Buratti, Lauraa | Balestrini, Simonaa | Altamura, Claudiab | Viticchi, Giovannaa | Falsetti, Lorenzoc | Luzzi, Simonaa | Provinciali, Leandroa | Vernieri, Fabriziob | Silvestrini, Mauroa; *
Affiliations: [a] Neurological Clinic, Marche Polytechnic University, Ancona, Italy | [b] Neurology Unit, Campus Bio-Medico University, Rome, Italy | [c] Internal and Subintensive Medicine, Ospedali Riuniti Ancona, Italy
Correspondence: [*] Correspondence to: Mauro Silvestrini, MD, Clinica Neurologica, Università Politecnica delle Marche, Azienda Ospedaliero-Universitaria Ospedali Riuniti, Via Conca 1, 60020 Ancona, Italy. Tel.: +39 071 596 4530; Fax: +39 071 887 262; E-mail: m.silvestrini@univpm.it.
Abstract: Background:Defining reliable markers of conversion to dementia could be the first step in order to identify appropriate treatment strategies for mild cognitive impairment (MCI) patients. Objective:To develop a tool able to predict the risk of progression from MCI to Alzheimer’s disease (AD). Methods:406 MCI patients were included and followed for a one-year period. Demographic characteristics, vascular risk factors, extent of cerebrovascular lesions, markers of carotid atherosclerosis investigated with an ultrasonographic assessment (plaque index and intima-media thickness) and cerebrovascular reactivity to apnea (breath-holding index) were considered as potential predictors of conversion. Results:106 (26%) MCI patients showed a conversion to AD. Plaque index, intima-media thickness, and breath-holding index were relevant predictors of conversion (p = 0.042; p = 0.003; p < 0.001, multivariate logistic regression analysis). A simplified scoring system was devised based on the magnitude of the estimated multinomial logistic regression β coefficient results. A total score was calculated as the sum of each predictive factor which resulted in a 0–5 range. The optimal cut-off score was ≥3 (sensitivity, 23.6%, 95% CI 15.9%–32.8%; specificity, 97.7%, 95% CI 95.3%–99.1%; positive likelihood ratio, 10.1, 95% CI 4.5%–22.7%; negative likelihood ratio, 0.78, 95% CI 0.70%–0.87%). The AUC was 0.71 (95% CI, 0.65–0.77). Conclusions:Our findings show the possibility to obtain a predictive indicator of the risk of conversion from MCI to dementia by considering the presence of both atherosclerotic changes in the carotid district and impairment of cerebral hemodynamics. Such an approach may allow us to formulate a correct prognosis in more than 70% of patients with amnesic MCI.
Keywords: Alzheimer's disease, atherosclerosis, carotid arteries, cerebral hemodynamics, mild cognitive impairment, ultrasonography
DOI: 10.3233/JAD-143135
Journal: Journal of Alzheimer's Disease, vol. 45, no. 3, pp. 883-890, 2015
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl