Wei Wu , Jie Guo , Abigail Dove , Michelle M. Dunk , Weili Xu
{"title":"A nomogram for predicting disability-free survival in older adults over 15 years: A population-based cohort study","authors":"Wei Wu , Jie Guo , Abigail Dove , Michelle M. Dunk , Weili Xu","doi":"10.1016/j.archger.2024.105527","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>This article aimed to develop and validate a simple-to-use nomogram to predict 15-year disability-free survival among older adults.</p></div><div><h3>Methods</h3><p>A cohort of 1878 disability-free participants aged ≥60 was followed for 15 years. Participants were randomly divided into a training cohort for nomogram development (<em>n</em> = 1314 [70 %]) and validation cohort to confirm the model's performance (<em>n</em> = 564 [30 %]). Information on socio-demographic, lifestyle factors, the Life Satisfaction Index A (LSI-A), chronic diseases, and Mini-Mental State Examination (MMSE) score, and biomarkers were collected through interviews, clinical and neuropsychological examinations, and medical records. Disability-free survival was defined as survival in the absence of dementia and physical disability, and the composite endpoint is first occurrence of events of death, dementia and physical disability. We developed a nomogram summing the number of risk points corresponding to weighted covariates to predict disability-free survival. Validation of the nomogram using C statistic, calibration plots, and Kaplan-Meier curves.</p></div><div><h3>Results</h3><p>In the multivariate-adjusted model, factors associated with composite end point were younger age, high MMSE (hazard ratio [HR], 0.93; [95 % CI, 0.87–0.99]), high LSI-A (0.78, [0.64–0.97]), non-smoking (0.74, [0.59–0.94]), engagement in physical leisure activity (0.62, [0.48–0.78]), and absence of chronic diseases (0.78, [0.66–0.91]). Incorporating these 6 factors, the nomogram achieved C-statistics of 0.78 (95 % CI, 0.75–0.81) and 0.77 (95 % CI, 0.74–0.80) in predicting disability-free survival in the training and validation cohorts, respectively, and had good calibration curves.</p></div><div><h3>Conclusion</h3><p>The nomogram was able to predict long-term of disability-free survival and performed well on internal validation, and may be considered for use in effective surveillance, promote, management of clinical and public health ageing.</p></div>","PeriodicalId":8306,"journal":{"name":"Archives of gerontology and geriatrics","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of gerontology and geriatrics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167494324002036","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
This article aimed to develop and validate a simple-to-use nomogram to predict 15-year disability-free survival among older adults.
Methods
A cohort of 1878 disability-free participants aged ≥60 was followed for 15 years. Participants were randomly divided into a training cohort for nomogram development (n = 1314 [70 %]) and validation cohort to confirm the model's performance (n = 564 [30 %]). Information on socio-demographic, lifestyle factors, the Life Satisfaction Index A (LSI-A), chronic diseases, and Mini-Mental State Examination (MMSE) score, and biomarkers were collected through interviews, clinical and neuropsychological examinations, and medical records. Disability-free survival was defined as survival in the absence of dementia and physical disability, and the composite endpoint is first occurrence of events of death, dementia and physical disability. We developed a nomogram summing the number of risk points corresponding to weighted covariates to predict disability-free survival. Validation of the nomogram using C statistic, calibration plots, and Kaplan-Meier curves.
Results
In the multivariate-adjusted model, factors associated with composite end point were younger age, high MMSE (hazard ratio [HR], 0.93; [95 % CI, 0.87–0.99]), high LSI-A (0.78, [0.64–0.97]), non-smoking (0.74, [0.59–0.94]), engagement in physical leisure activity (0.62, [0.48–0.78]), and absence of chronic diseases (0.78, [0.66–0.91]). Incorporating these 6 factors, the nomogram achieved C-statistics of 0.78 (95 % CI, 0.75–0.81) and 0.77 (95 % CI, 0.74–0.80) in predicting disability-free survival in the training and validation cohorts, respectively, and had good calibration curves.
Conclusion
The nomogram was able to predict long-term of disability-free survival and performed well on internal validation, and may be considered for use in effective surveillance, promote, management of clinical and public health ageing.
期刊介绍:
Archives of Gerontology and Geriatrics provides a medium for the publication of papers from the fields of experimental gerontology and clinical and social geriatrics. The principal aim of the journal is to facilitate the exchange of information between specialists in these three fields of gerontological research. Experimental papers dealing with the basic mechanisms of aging at molecular, cellular, tissue or organ levels will be published.
Clinical papers will be accepted if they provide sufficiently new information or are of fundamental importance for the knowledge of human aging. Purely descriptive clinical papers will be accepted only if the results permit further interpretation. Papers dealing with anti-aging pharmacological preparations in humans are welcome. Papers on the social aspects of geriatrics will be accepted if they are of general interest regarding the epidemiology of aging and the efficiency and working methods of the social organizations for the health care of the elderly.