Yuanchun Xu, Wei Cao, Zongsheng He, Nuoyi Wu, Mingyu Cai, Li Yang, Shuying Liu, Wangping Jia, Haiyan He, Yaling Wang
{"title":"Development and Validation of a Risk Prediction Model for Frailty in Patients with Chronic Diseases.","authors":"Yuanchun Xu, Wei Cao, Zongsheng He, Nuoyi Wu, Mingyu Cai, Li Yang, Shuying Liu, Wangping Jia, Haiyan He, Yaling Wang","doi":"10.1177/23337214241282895","DOIUrl":null,"url":null,"abstract":"<p><p>The occurrence rate of frailty is high among patients with chronic diseases. However, the assessment of frailty among these patients is still far from being a routine part of clinical practice. The aim of this study is to develop a validated predictive model for assessing frailty risk in patients with chronic illnesses. This study recruited 543 patients with chronic diseases, and 237 were included in the development and validation of the predictive model. A total of 57 frailty related indicators were analyzed, encompassing sociodemographic variables, health status, physical measurements, nutritional assessment, physical activity levels, and blood biomarkers. There were 100 cases (42.2%) presenting frailty symptoms. Multivariate logistic regression analysis revealed that gender, age, chronic diseases, Mini Nutritional Assessment score, and Clinical Frailty Scale score were predictive factors for frailty in chronic disease patients. Utilizing these factors, a nomogram model demonstrated good consistency and accuracy. The AUC values for the predictive model and validation set were 0.946 and 0.945, respectively. Calibration curves, ROC, and DCA indicated the nomogram had favorable predictive performance. Altogether, the comprehensive nomogram developed here is a promising and convenient tool for assessing frailty risk in patients with chronic diseases, aiding clinical practitioners in screening high-risk populations.</p>","PeriodicalId":52146,"journal":{"name":"Gerontology and Geriatric Medicine","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11497504/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gerontology and Geriatric Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/23337214241282895","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The occurrence rate of frailty is high among patients with chronic diseases. However, the assessment of frailty among these patients is still far from being a routine part of clinical practice. The aim of this study is to develop a validated predictive model for assessing frailty risk in patients with chronic illnesses. This study recruited 543 patients with chronic diseases, and 237 were included in the development and validation of the predictive model. A total of 57 frailty related indicators were analyzed, encompassing sociodemographic variables, health status, physical measurements, nutritional assessment, physical activity levels, and blood biomarkers. There were 100 cases (42.2%) presenting frailty symptoms. Multivariate logistic regression analysis revealed that gender, age, chronic diseases, Mini Nutritional Assessment score, and Clinical Frailty Scale score were predictive factors for frailty in chronic disease patients. Utilizing these factors, a nomogram model demonstrated good consistency and accuracy. The AUC values for the predictive model and validation set were 0.946 and 0.945, respectively. Calibration curves, ROC, and DCA indicated the nomogram had favorable predictive performance. Altogether, the comprehensive nomogram developed here is a promising and convenient tool for assessing frailty risk in patients with chronic diseases, aiding clinical practitioners in screening high-risk populations.
期刊介绍:
Gerontology and Geriatric Medicine (GGM) is an interdisciplinary, peer-reviewed open access journal where scholars from a variety of disciplines present their work focusing on the psychological, behavioral, social, and biological aspects of aging, and public health services and research related to aging. The journal addresses a wide variety of topics related to health services research in gerontology and geriatrics. GGM seeks to be one of the world’s premier Open Access outlets for gerontological academic research. As such, GGM does not limit content due to page budgets or thematic significance. Papers will be subjected to rigorous peer review but will be selected solely on the basis of whether the research is sound and deserves publication. By virtue of not restricting papers to a narrow discipline, GGM facilitates the discovery of the connections between papers.