Characterizing cognitive phenotypes and clinical correlates in type 2 diabetes using fuzzy clustering and decision tree analysis.

Autor: Sümbül-Şekerci B; Faculty of Pharmacy, Clinical Pharmacy Department, Bezmialem Vakif University, Istanbul, Türkiye. betulsumbul@gmail.com., Pasin Ö; Faculty of Medicine, Biostatistics Department, Bezmialem Vakif University, Istanbul, Türkiye., Egeli D; Department of Pharmacognosy and Natural Product Chemistry Istanbul Institute of Health Sciences, Bezmialem Vakif University, Istanbul, Türkiye., Gönenç S; Faculty of Science, Statistics Department, Ataturk University, Erzurum, Türkiye., Şekerci A; Faculty of Medicine, Internal Medicine Department, Bezmialem Vakif University, Istanbul, Türkiye.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2024 Oct 14; Vol. 14 (1), pp. 23965. Date of Electronic Publication: 2024 Oct 14.
DOI: 10.1038/s41598-024-74741-6
Abstrakt: Cognitive impairment is frequently seen in patients with type 2 diabetes (T2DM), ranging from mild impairment to dementia. However, our knowledge of the specific profiles and risk factors for these different levels of impairment is limited. In this study involving 152 patients with T2DM, cognitive function was assessed using the Montreal Cognitive Assessment test. The Fuzzy C-means clustering algorithm was utilized to group individuals with similar cognitive characteristics. The study evaluated how well clinical parameters could classify characteristics of clusters using the Classification and Regression Trees algorithm. ROC analysis was then used to assess the classification success. Three distinct cognitive clusters were identified. Cluster 1 had the poorest cognitive performance and was characterized by more women, lower education levels, and lower levels of iron, hemoglobin, and creatine. Cluster 3, the amnestic cluster, was distinguished by low TSH levels. The decision tree model highlighted several parameters, including education level, hemoglobin, duration of diabetes mellitus (DM), iron, TSH, gender, family history of diabetes, and microalbumin/creatinine ratio, as significantly affecting the distinction of cognitive clusters. Diabetes-associated cognitive impairment stems from multifaceted pathophysiological mechanisms influenced by complex risk factors, resulting in diverse types of cognitive deficits.
(© 2024. The Author(s).)
Databáze: MEDLINE
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