Cognitive Risk Stratification Score in Middle-aged and Older Adults With Type 2 Diabetes: A Cross-Sectional Study - Report - MDSpire

Cognitive Risk Stratification Score in Middle-aged and Older Adults With Type 2 Diabetes: A Cross-Sectional Study

  • By

  • Jinghua Zhang

  • Wilson Wai San Tam

  • Jinhua Lu

  • Junjie Chen

  • Joji Kusuyama

  • Yanhong Dong

  • Xin Yi Yap

  • Wentao Zhou

  • Na Wang

  • Hui Nan Yeo

  • Frena Jia Sy Lee

  • Vivien Xi Wu

  • February 4, 2025

  • 0 min

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Development and Validation of a Cognitive Risk Assessment Tool for T2DM Adults

Overview

This study developed and validated a novel risk stratification score (RSS) to predict cognitive impairment (CI) in middle-aged and older adults with type 2 diabetes mellitus (T2DM). The RSS demonstrated excellent discrimination with an area under the curve of 0.802, effectively identifying high- and low-risk groups for CI.

Background

Cognitive impairment affects approximately 45% of middle-aged and older adults with T2DM globally, contributing to significant morbidity. Formal neuropsychological testing is the gold standard for diagnosis but is time-consuming and impractical in primary care. The Montreal Cognitive Assessment (MoCA) is commonly used but lacks sensitivity and comprehensiveness. There is a need for a rapid, comprehensive risk stratification tool to identify CI risk in T2DM patients to facilitate early intervention.

Data Highlights

ParameterValue
Sample size (n)150
Prevalence of CI49.3% (74 participants)
RSS AUC0.802 (P < .001)
RSS Sensitivity63.5%
RSS Specificity86.8%

Key Findings

  • CI was identified in nearly half (49.3%) of middle-aged and older adults with T2DM in the study cohort.
  • The RSS combined MoCA score, diastolic blood pressure, and Short Physical Performance Battery results to predict CI risk.
  • The RSS demonstrated excellent predictive accuracy with an AUC of 0.802, indicating strong discrimination capability.
  • At an optimal cutoff of 0.3, the RSS achieved a sensitivity of 63.5% and specificity of 86.8% for CI risk classification.
  • The RSS offers a rapid, comprehensive alternative to lengthy neuropsychological testing in primary care settings.
  • The study supports the use of the Integrated Metabolic Cognitive Risk Stratification Pathway for early CI risk assessment in T2DM patients.

Clinical Implications

The RSS provides clinicians with a practical, efficient tool to identify middle-aged and older adults with T2DM at high risk for cognitive impairment, enabling timely interventions. Its incorporation into primary care workflows can improve early detection and management of CI, potentially mitigating progression. Further validation in diverse populations and longitudinal studies is warranted to confirm generalizability and long-term utility.

Conclusion

The newly developed RSS is a promising, validated tool for rapid cognitive impairment risk assessment in T2DM patients, combining cognitive, vascular, and physical performance measures. Its strong predictive accuracy supports its integration into primary care to facilitate early identification and intervention.

References

  1. Exalto et al 2013 -- Risk score for prediction of dementia in diabetes
  2. Nasreddine et al 2005 -- Montreal Cognitive Assessment (MoCA) validation
  3. Singapore Ministry of Health 2023 -- Diabetes prevalence and management

Original Source(s)

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