社区老年慢性病患者认知衰弱风险预测模型的构建及验证
作者:
作者单位:

作者简介:

男,硕士在读,学生

通讯作者:

基金项目:

辽宁省教育厅科学研究项目(JYTJCZR2020085)


A nomogram for predicting the risk of cognitive frailty in community-dwelling elderly people with chronic diseases
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
    摘要:

    目的 探索社区老年慢性病患者发生认知衰弱的危险因素,为针对性干预提供参考。方法 对674例社区老年慢性病患者,采用一般资料调查问卷、衰弱表型、蒙特利尔认知评估量表、临床痴呆评定量表、简易营养评价精法问卷以及简版老年人抑郁量表进行调查;行单因素及多因素分析提取认知衰弱影响因素,基于主要影响因素构建认知衰弱风险列线图预测模型;运用Bootstrap法验证模型效能。结果 社区老年慢性病患者认知衰弱检出率为33.5%;年龄、独居、营养不良、抑郁、体育锻炼为其主要影响因素(均P<0.05);分类校准曲线贴合紧密,ROC曲线下面积为0.970。结论 社区老年慢性病患者认知衰弱发生率较高,高龄、独居、营养不良及抑郁是认知衰弱发生的独立危险因素,体育锻炼为保护性因素;构建的列线图预测模型精准度与区分度良好,可用于社区老年慢性病患者认知衰弱筛查。

    Abstract:

    Objective To identify the risk factors of cognitive frailty in community-dwelling elderly people with chronic diseases, and to provide reference for targeted interventions. Methods Totally, 674 community-dwelling older people with chronic diseases were investigated by using a self-designed sociodemographic data questionnaire, Fried′s Frailty Phenotype, the Montreal Cognitive Assessment, Clinical Dementia Rating scale, Short-form Mini-Nutritional Assessment and Geriatric Depression Scale-Short Form. Risk factors of cognitive frailty were identified through Chi-square test and multivariate logistic regression, then a nomogram based on the risk factors was constructed and validated with bootstrap resampling. Results The prevalence of cognitive frailty in community-dwelling elderly with chronic diseases was 33.5%. Age, living alone, malnutrition, depression and physical exercise were the main predictors (P<0.05 for all). The calibration curves for the probability of cognitive frailty showed optimal agreement between the probability as predicted by the nomogram and the actual probability.The nomogram showed a robust discrimination, with an area under the receiver operating characteristic curve of 0.970. Conclusion The prevalence of cognitive frailty was relatively high in community-dwelling elderly with chronic diseases. Advanced age, living alone, malnutrition and depression were risk factors, whereas physical exercise was protective factor. Validation by the use of bootstrap resampling revealed optimal discrimination and calibration, indicating that the nomogram can be used as a screening tool.

    参考文献
    相似文献
    引证文献
引用本文

杨振,张会君.社区老年慢性病患者认知衰弱风险预测模型的构建及验证[J].护理学杂志,2021,36(12):86-89

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
历史
  • 收稿日期:2021-01-06
  • 最后修改日期:2021-03-02
  • 录用日期:
  • 在线发布日期: 2022-09-16