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Prediction of disability-free survival in healthy older people
Prolonging survival in good health is a fundamental societal goal. However, the leading determinants of disability-free survival in healthy older people have not been well established. Data from ASPREE, a bi-national placebo-controlled trial of aspirin with 4.7 years median follow-up, was analysed....
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213595/ https://www.ncbi.nlm.nih.gov/pubmed/35420334 http://dx.doi.org/10.1007/s11357-022-00547-x |
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author | Neumann, Johannes Tobias Thao, Le T. P. Murray, Anne M. Callander, Emily Carr, Prudence R. Nelson, Mark R. Wolfe, Rory Woods, Robyn L. Reid, Christopher M. Shah, Raj C. Newman, Anne B. Williamson, Jeff D. Tonkin, Andrew M. McNeil, John J. |
author_facet | Neumann, Johannes Tobias Thao, Le T. P. Murray, Anne M. Callander, Emily Carr, Prudence R. Nelson, Mark R. Wolfe, Rory Woods, Robyn L. Reid, Christopher M. Shah, Raj C. Newman, Anne B. Williamson, Jeff D. Tonkin, Andrew M. McNeil, John J. |
author_sort | Neumann, Johannes Tobias |
collection | PubMed |
description | Prolonging survival in good health is a fundamental societal goal. However, the leading determinants of disability-free survival in healthy older people have not been well established. Data from ASPREE, a bi-national placebo-controlled trial of aspirin with 4.7 years median follow-up, was analysed. At enrolment, participants were healthy and without prior cardiovascular events, dementia or persistent physical disability. Disability-free survival outcome was defined as absence of dementia, persistent disability or death. Selection of potential predictors from amongst 25 biomedical, psychosocial and lifestyle variables including recognized geriatric risk factors, utilizing a machine-learning approach. Separate models were developed for men and women. The selected predictors were evaluated in a multivariable Cox proportional hazards model and validated internally by bootstrapping. We included 19,114 Australian and US participants aged ≥65 years (median 74 years, IQR 71.6–77.7). Common predictors of a worse prognosis in both sexes included higher age, lower Modified Mini-Mental State Examination score, lower gait speed, lower grip strength and abnormal (low or elevated) body mass index. Additional risk factors for men included current smoking, and abnormal eGFR. In women, diabetes and depression were additional predictors. The biased-corrected areas under the receiver operating characteristic curves for the final prognostic models at 5 years were 0.72 for men and 0.75 for women. Final models showed good calibration between the observed and predicted risks. We developed a prediction model in which age, cognitive function and gait speed were the strongest predictors of disability-free survival in healthy older people. Trial registration Clinicaltrials.gov (NCT01038583) SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11357-022-00547-x. |
format | Online Article Text |
id | pubmed-9213595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-92135952022-06-23 Prediction of disability-free survival in healthy older people Neumann, Johannes Tobias Thao, Le T. P. Murray, Anne M. Callander, Emily Carr, Prudence R. Nelson, Mark R. Wolfe, Rory Woods, Robyn L. Reid, Christopher M. Shah, Raj C. Newman, Anne B. Williamson, Jeff D. Tonkin, Andrew M. McNeil, John J. GeroScience Original Article Prolonging survival in good health is a fundamental societal goal. However, the leading determinants of disability-free survival in healthy older people have not been well established. Data from ASPREE, a bi-national placebo-controlled trial of aspirin with 4.7 years median follow-up, was analysed. At enrolment, participants were healthy and without prior cardiovascular events, dementia or persistent physical disability. Disability-free survival outcome was defined as absence of dementia, persistent disability or death. Selection of potential predictors from amongst 25 biomedical, psychosocial and lifestyle variables including recognized geriatric risk factors, utilizing a machine-learning approach. Separate models were developed for men and women. The selected predictors were evaluated in a multivariable Cox proportional hazards model and validated internally by bootstrapping. We included 19,114 Australian and US participants aged ≥65 years (median 74 years, IQR 71.6–77.7). Common predictors of a worse prognosis in both sexes included higher age, lower Modified Mini-Mental State Examination score, lower gait speed, lower grip strength and abnormal (low or elevated) body mass index. Additional risk factors for men included current smoking, and abnormal eGFR. In women, diabetes and depression were additional predictors. The biased-corrected areas under the receiver operating characteristic curves for the final prognostic models at 5 years were 0.72 for men and 0.75 for women. Final models showed good calibration between the observed and predicted risks. We developed a prediction model in which age, cognitive function and gait speed were the strongest predictors of disability-free survival in healthy older people. Trial registration Clinicaltrials.gov (NCT01038583) SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11357-022-00547-x. Springer International Publishing 2022-04-14 /pmc/articles/PMC9213595/ /pubmed/35420334 http://dx.doi.org/10.1007/s11357-022-00547-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Neumann, Johannes Tobias Thao, Le T. P. Murray, Anne M. Callander, Emily Carr, Prudence R. Nelson, Mark R. Wolfe, Rory Woods, Robyn L. Reid, Christopher M. Shah, Raj C. Newman, Anne B. Williamson, Jeff D. Tonkin, Andrew M. McNeil, John J. Prediction of disability-free survival in healthy older people |
title | Prediction of disability-free survival in healthy older people |
title_full | Prediction of disability-free survival in healthy older people |
title_fullStr | Prediction of disability-free survival in healthy older people |
title_full_unstemmed | Prediction of disability-free survival in healthy older people |
title_short | Prediction of disability-free survival in healthy older people |
title_sort | prediction of disability-free survival in healthy older people |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213595/ https://www.ncbi.nlm.nih.gov/pubmed/35420334 http://dx.doi.org/10.1007/s11357-022-00547-x |
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