Development and Validation of a Risk Score for Mild Cognitive Impairment in Individuals with Type 2 Diabetes in China: A Practical Cognitive Prescreening Tool

Qun Ding,1– 4,* Congcong Yu,2,3,* Xiang Xu,1,3 Yinjiao Hou,1,3 Yingwen Miao,2,3 Sijue Yang,2,3 Shihua Chen,2,3 Xuelin Ma,2,3 Zhou Zhang,2,3 Yan Bi1– 3 1Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing...

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Main Authors: Ding Q, Yu C, Xu X, Hou Y, Miao Y, Yang S, Chen S, Ma X, Zhang Z, Bi Y
Format: Article
Language:English
Published: Dove Medical Press 2024-03-01
Series:Diabetes, Metabolic Syndrome and Obesity
Subjects:
Online Access:https://www.dovepress.com/development-and-validation-of-a-risk-score-for-mild-cognitive-impairme-peer-reviewed-fulltext-article-DMSO
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author Ding Q
Yu C
Xu X
Hou Y
Miao Y
Yang S
Chen S
Ma X
Zhang Z
Bi Y
author_facet Ding Q
Yu C
Xu X
Hou Y
Miao Y
Yang S
Chen S
Ma X
Zhang Z
Bi Y
author_sort Ding Q
collection DOAJ
description Qun Ding,1– 4,* Congcong Yu,2,3,* Xiang Xu,1,3 Yinjiao Hou,1,3 Yingwen Miao,2,3 Sijue Yang,2,3 Shihua Chen,2,3 Xuelin Ma,2,3 Zhou Zhang,2,3 Yan Bi1– 3 1Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, People’s Republic of China; 2Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China; 3Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, People’s Republic of China; 4Department of Endocrinology, the Second People’s Hospital of Lianyungang, Lianyungang, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhou Zhang, Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Branch of National Clinical Research Centre for Metabolic Diseases, No. 321, Zhongshan Road, Nanjing, 210008, People’s Republic of China, Tel + 86 25-83106666, Email zhangzhou@smail.nju.edu.cn Yan Bi, Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Branch of National Clinical Research Centre for Metabolic Diseases, No. 321, Zhongshan Road, Nanjing, 210008, People’s Republic of China, Tel + 86 25-83105313, Email biyan@nju.edu.cnAim: Numerous evidence suggests that diabetes increases the risk of cognitive impairment. This study aimed to develop and validate a multivariable risk score model to identify mild cognitive impairment (MCI) in patients with type 2 diabetes mellitus (T2DM).Methods: This cross-sectional study included 1256 inpatients (age: 57.5 ± 11.2 years) with T2DM in a tertiary care hospital in China. MCI was diagnosed according to the criteria recommended by the National Institute on Aging-Alzheimer’s Association Workgroup, and a MoCA score of 19– 25 indicated MCI. Participants were randomly allocated into the derivation and validation sets at 7:3 ratio. Logistic regression models were used to identify predictors for MCI in the derivation set. A scoring system based on the predictors’ beta coefficient was developed. Predictive ability of the risk score was tested by discrimination and calibration methods.Results: Totally 880 (285 with MCI, 32.4%) and 376 (167 with MCI, 33.8%) patients were allocated in the derivation and validation set, respectively. Age, education, HbA1c, self-reported history of severe hypoglycemia, and microvascular disease were identified as predictors for MCI and constituted the risk score. The AUCs (95% CI) of the risk score were 0.751 (0.717, 0.784) in derivation set and 0.776 (0.727, 0.824) in validation set. The risk score showed good apparent calibration of observed and predicted MCI probabilities and was capable of stratifying individuals into 3 risk categories by two cut-off points (low risk: ≤ 3, medium risk: 4– 13, and high risk ≥ 14).Conclusion: The risk score based on age, education, HbA1c, self-reported history of severe hypoglycemia, and microvascular disease can effectively assess MCI risk in adults with T2DM at different age. It can serve as a practical prescreening tool for early detection of MCI in daily diabetes care.Keywords: mild cognitive impairment, type 2 diabetes mellitus, risk score, prescreening tool
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spelling doaj.art-fb9772639b344acc8246d565a8a07ed62024-03-07T17:38:47ZengDove Medical PressDiabetes, Metabolic Syndrome and Obesity1178-70072024-03-01Volume 171171118291030Development and Validation of a Risk Score for Mild Cognitive Impairment in Individuals with Type 2 Diabetes in China: A Practical Cognitive Prescreening ToolDing QYu CXu XHou YMiao YYang SChen SMa XZhang ZBi YQun Ding,1– 4,* Congcong Yu,2,3,* Xiang Xu,1,3 Yinjiao Hou,1,3 Yingwen Miao,2,3 Sijue Yang,2,3 Shihua Chen,2,3 Xuelin Ma,2,3 Zhou Zhang,2,3 Yan Bi1– 3 1Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, People’s Republic of China; 2Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China; 3Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, People’s Republic of China; 4Department of Endocrinology, the Second People’s Hospital of Lianyungang, Lianyungang, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhou Zhang, Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Branch of National Clinical Research Centre for Metabolic Diseases, No. 321, Zhongshan Road, Nanjing, 210008, People’s Republic of China, Tel + 86 25-83106666, Email zhangzhou@smail.nju.edu.cn Yan Bi, Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Branch of National Clinical Research Centre for Metabolic Diseases, No. 321, Zhongshan Road, Nanjing, 210008, People’s Republic of China, Tel + 86 25-83105313, Email biyan@nju.edu.cnAim: Numerous evidence suggests that diabetes increases the risk of cognitive impairment. This study aimed to develop and validate a multivariable risk score model to identify mild cognitive impairment (MCI) in patients with type 2 diabetes mellitus (T2DM).Methods: This cross-sectional study included 1256 inpatients (age: 57.5 ± 11.2 years) with T2DM in a tertiary care hospital in China. MCI was diagnosed according to the criteria recommended by the National Institute on Aging-Alzheimer’s Association Workgroup, and a MoCA score of 19– 25 indicated MCI. Participants were randomly allocated into the derivation and validation sets at 7:3 ratio. Logistic regression models were used to identify predictors for MCI in the derivation set. A scoring system based on the predictors’ beta coefficient was developed. Predictive ability of the risk score was tested by discrimination and calibration methods.Results: Totally 880 (285 with MCI, 32.4%) and 376 (167 with MCI, 33.8%) patients were allocated in the derivation and validation set, respectively. Age, education, HbA1c, self-reported history of severe hypoglycemia, and microvascular disease were identified as predictors for MCI and constituted the risk score. The AUCs (95% CI) of the risk score were 0.751 (0.717, 0.784) in derivation set and 0.776 (0.727, 0.824) in validation set. The risk score showed good apparent calibration of observed and predicted MCI probabilities and was capable of stratifying individuals into 3 risk categories by two cut-off points (low risk: ≤ 3, medium risk: 4– 13, and high risk ≥ 14).Conclusion: The risk score based on age, education, HbA1c, self-reported history of severe hypoglycemia, and microvascular disease can effectively assess MCI risk in adults with T2DM at different age. It can serve as a practical prescreening tool for early detection of MCI in daily diabetes care.Keywords: mild cognitive impairment, type 2 diabetes mellitus, risk score, prescreening toolhttps://www.dovepress.com/development-and-validation-of-a-risk-score-for-mild-cognitive-impairme-peer-reviewed-fulltext-article-DMSOmild cognitive impairmenttype 2 diabetes mellitusrisk scoreprescreening tool
spellingShingle Ding Q
Yu C
Xu X
Hou Y
Miao Y
Yang S
Chen S
Ma X
Zhang Z
Bi Y
Development and Validation of a Risk Score for Mild Cognitive Impairment in Individuals with Type 2 Diabetes in China: A Practical Cognitive Prescreening Tool
Diabetes, Metabolic Syndrome and Obesity
mild cognitive impairment
type 2 diabetes mellitus
risk score
prescreening tool
title Development and Validation of a Risk Score for Mild Cognitive Impairment in Individuals with Type 2 Diabetes in China: A Practical Cognitive Prescreening Tool
title_full Development and Validation of a Risk Score for Mild Cognitive Impairment in Individuals with Type 2 Diabetes in China: A Practical Cognitive Prescreening Tool
title_fullStr Development and Validation of a Risk Score for Mild Cognitive Impairment in Individuals with Type 2 Diabetes in China: A Practical Cognitive Prescreening Tool
title_full_unstemmed Development and Validation of a Risk Score for Mild Cognitive Impairment in Individuals with Type 2 Diabetes in China: A Practical Cognitive Prescreening Tool
title_short Development and Validation of a Risk Score for Mild Cognitive Impairment in Individuals with Type 2 Diabetes in China: A Practical Cognitive Prescreening Tool
title_sort development and validation of a risk score for mild cognitive impairment in individuals with type 2 diabetes in china a practical cognitive prescreening tool
topic mild cognitive impairment
type 2 diabetes mellitus
risk score
prescreening tool
url https://www.dovepress.com/development-and-validation-of-a-risk-score-for-mild-cognitive-impairme-peer-reviewed-fulltext-article-DMSO
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