Geriatric Nursing · Jan 15, 2026

Construction of a risk predictive model for cognitive frailty in middle-aged and older patients with ischemic stroke: a cross-sectional study

By Shi S, Sun H, He Y et al.

BACKGROUND: Cognitive frailty is associated with increased morbidity and mortality across a range of medical conditions, and may affect stroke disease trajectory and outcome. This study aimed to establish a predictive model for cognitive frailty in middle-aged and elderly ischemic stroke patients. METHODS: This study collected from 505 patients. A nomogram prediction model was constructed based on multivariate logistic regression analysis. The performance of the nomogram was evaluated by discrimination, calibration and decision curve analysis. RESULTS: A nomogram prediction model was constructed based on age, marital status, residence, Diabetes, Recurrent stroke, Depression, Carotid Plaque. The AUC of the model was 0.819. Calibration curve analysis indicated a good fitted, and the clinical decision curve analysis demonstrated a high net benefit. CONCLUSION: This study established a nomogram with good performance to provide assessment tools to identify the risk of cognitive frailty in middle-aged and elderly ischemic stroke patients.

doi.org/10.1016/j.gerinurse.2026.103827PubMed 41544549Biomarkers