10 January 2026 : Laboratory Research
Machine Learning Analysis of Retrospective Data From 503 Hospitalized Older Patients With Type 2 Diabetes to Identify Factors Associated With Cognitive Impairment
Mingzhu Yu ABCDEFG 1,2*, Jianfeng Zhang A 1, Haigeng Chen A 3, Guiyue Li A 4DOI: 10.12659/MSM.949864
Med Sci Monit 2026; 32:e949864
Table 3 Multivariable logistic regression analysis of risk factors for mild cognitive impairment.
| Predictor | Odds ratio | 95% Confidence interval | P-value |
|---|---|---|---|
| Age | 1.12 | 1.07–1.18 | <0.001 |
| Body mass index | 1.05 | 1.01–1.09 | 0.016 |
| Glycated hemoglobin (HbA1c) | 1.13 | 1.04–1.24 | 0.007 |
| C-reactive protein | 1.08 | 1.02–1.15 | 0.012 |
| Waist-to-height ratio | 1.20 | 0.95–1.52 | 0.125 |
| Diabetic complications | 3.50 | 1.8–6.82 | <0.001 |
| Diabetes duration exceeding 5 years | 2.10 | 1.2–3.68 | 0.010 |
| Low education level | 0.75 | 0.55–0.98 | 0.050 |
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