Construction and validation of a cognitive frailty risk prediction model for elderly patients with colorectal cancer

作者：Yu Wang, Li Wang, Yunhong Du, Xiaoye Ma, Lili Sun, Xiujie Zhang, Weiqi Rong, Jianwei Li, Yao Shi, Wei Liu, Dawei Xie, Lili Peng, O.H. Chen · 发表于：Frontiers in Aging Neuroscience · 年份：2025 · DOI：10.3389/fnagi.2025.1692414 · 被引用次数：1 · 研究领域：Frailty in Older Adults、Cancer-related cognitive impairment studies、Palliative Care and End-of-Life Issues

Background: Elderly patients with colorectal cancer (CRC) are a high-risk population for cognitive frailty (CF). This study aims to develop and validate a risk prediction model for CF in this specific patient group, so as to facilitate early identification and intervention. Methods: This study collected cross-sectional data from 528 elderly patients with CRC who were treated in multiple Grade A Class 3 hospitals in Shandong Province from July 2024 to July 2025. A total of 22 indicators were included. Logistic regression was employed to identify factors associated with CF in elderly patients with colorectal cancer, and R software (version 4.4.3) was used to develop a risk prediction model. The predictive performance and clinical utility of the model were evaluated using metrics including the area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis (DCA). Results: < 0.05). The AUC of the modeling group and the validation group was 0.819 and 0.802, respectively; the Hosmer-Lemeshow test results indicated good model fit; the consistency between the actual values and the predicted values of the calibration curve was also high. Conclusion: The risk of CF in elderly patients with colorectal cancer is relatively high, and it is related to factors such as age, chemotherapy history, tumor stage, whether engaging in intellectual activities, social support level, and educational level. The risk prediction model for CF in elderly patient...