A nomogram for predicting disability-free survival in older adults over 15 years: A population-based cohort study

IF 3.5 3区 医学 Q2 GERIATRICS & GERONTOLOGY
Wei Wu , Jie Guo , Abigail Dove , Michelle M. Dunk , Weili Xu
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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.

预测 15 岁以上老年人无残疾生存期的提名图:基于人群的队列研究
背景本文旨在开发和验证一种简单易用的提名图,用于预测老年人15年无残疾生存期。方法对1878名年龄≥60岁的无残疾参与者进行了为期15年的队列随访。参与者被随机分为训练队列(n = 1314 [70%])和验证队列(n = 564 [30%]),训练队列用于开发提名图,验证队列用于确认模型的性能。通过访谈、临床和神经心理学检查以及病历收集了有关社会人口学、生活方式因素、生活满意度指数 A (LSI-A)、慢性疾病、迷你精神状态检查 (MMSE) 分数以及生物标志物的信息。无残疾生存期是指没有痴呆症和肢体残疾的生存期,复合终点是指首次发生死亡、痴呆症和肢体残疾的事件。我们绘制了一个提名图,将加权协变量对应的风险点数相加,以预测无残疾存活率。结果在多变量调整模型中,与综合终点相关的因素是年龄较小、MMSE 高(危险比 [HR],0.93;[95 % CI,0.87-0.99])、LSI-A 高(0.78,[0.64-0.97])、不吸烟(0.74,[0.59-0.94])、参加体育休闲活动(0.62,[0.48-0.78])和无慢性疾病(0.78,[0.66-0.91])。结论:该提名图能够预测长期无残疾生存率,在内部验证中表现良好,可考虑用于临床和公共卫生老龄化的有效监测、促进和管理。
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来源期刊
CiteScore
7.30
自引率
5.00%
发文量
198
审稿时长
16 days
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.
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