中国老年保健医学2025,Vol.23Issue(6):42-47,6.DOI:10.3969/j.issn.1672-2671.2025.06.007
老年糖尿病患者认知衰弱风险预测模型的系统评价
Systematic review of risk prediction models for cognitive frailty in older adults with diabetes mellitus
摘要
Abstract
Objective To systematically evaluate the risk prediction models for cognitive frailty in older adults with diabetes mel-litus(DM).Methods A systematic search was conducted in Chinese databases(CNKI,Wanfang Data,VIP,CBM)and English databases(PubMed,Embase,Web of Science,Cochrane Library)from inception to May 2025 using a combination of subject head-ings and free-text terms,supplemented by reference tracing.Two reviewers independently screened the literature.The PROBAST tool was used to assess the risk of bias and applicability of the included prediction models.Meta-analysis of predictor effects was per-formed using RevMan 5.4 software.Results Eight studies were included,involving eight risk prediction models.All models were as-sessed as having a high risk of bias.Meta-analysis indicated that the following factors were significant predictors of cognitive frailty in older adults with DM:older age(OR=3.20,95%CI 2.30~4.45),depression(OR=4.64,95%CI 2.88~7.45),regular phys-ical exercise(OR=4.57,95%CI 3.62~5.78),nutritional status(OR=3.70,95%CI 2.52~5.44),glycated hemoglobin(OR=2.88,95%CI 2.26~3.67),and diabetes duration(OR=2.86,95%CI 2.19~3.73).Conclusion Current risk prediction models for cognitive frailty in older diabetic patients remain in the early development phase,with limited validation.Future studies should focus on external validation and model refinement.Clinicians should prioritize assessment and intervention for older diabetic patients who are advanced in age,have depression,lack regular exercise,exhibit poor nutritional status,have HbA1c≥8.5%,or have a longer diabetes duration.关键词
老年糖尿病/认知衰弱/风险预测/预测模型/系统评价Key words
aged/diabetes mellitus/cognitive frailty/risk prediction/prediction models/systematic review引用本文复制引用
吴锦华,韦伟,黄文贞,蒋恩社..老年糖尿病患者认知衰弱风险预测模型的系统评价[J].中国老年保健医学,2025,23(6):42-47,6.基金项目
河南大学医护协同项目(编号:2024-1-7) (编号:2024-1-7)