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Physiological Dysregulation, Frailty, and Impacts on Adverse Health and Functional Outcomes
Background: Multi-system physiological dysregulation (PD) may represent a biological endo-phenotype of clinical frailty. We investigated the co-occurrence of PD with physical frailty and its contributions to the known impact of frailty on adverse health outcomes. Methods: Data of 2,725 participants...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569246/ https://www.ncbi.nlm.nih.gov/pubmed/34746185 http://dx.doi.org/10.3389/fmed.2021.751022 |
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author | Lu, Yanxia Gwee, Xinyi Chua, Denise Q. L. Tan, Crystal T. Y. Yap, Keng Bee Larbi, Anis Ng, Tze Pin |
author_facet | Lu, Yanxia Gwee, Xinyi Chua, Denise Q. L. Tan, Crystal T. Y. Yap, Keng Bee Larbi, Anis Ng, Tze Pin |
author_sort | Lu, Yanxia |
collection | PubMed |
description | Background: Multi-system physiological dysregulation (PD) may represent a biological endo-phenotype of clinical frailty. We investigated the co-occurrence of PD with physical frailty and its contributions to the known impact of frailty on adverse health outcomes. Methods: Data of 2,725 participants from the Singapore Longitudinal Aging Studies (SLAS-2), included baseline measures of physical frailty and PD derived from Mahalanobis distance (Dm) value of 23 blood biomarkers. We analyzed their concurrent association and their impacts on 9-year mortality, MMSE cognition, GDS depression, number of medications, disability, and hospitalization at baseline and follow up (mean 4.5 years). Results: Global PD (Log(10)Dm, mean = 1.24, SD = 0.24) was significantly but weakly associated with pre-frailty-and-frailty. Controlling for age, sex and education, pre-frailty-and-frailty (HR = 2.12, 95% CI = 1.51–3.00) and PD (HR = 3.88, 95% CI = 2.15–6.98) predicted mortality. Together in the same model, mortality HR associated with pre-frailty-and-frailty (HR = 1.83, 95% CI = 1.22–2.73) and PD (HR = 3.06, 95% CI = 1.60–5.85) were reduced after additionally adding global PD to the prediction model. The predictive accuracy for mortality were both approximately the same (PD: AUC = 0.62, frailty: AUC = 0.64), but AUC was significantly increased to 0.68 when combined (p < 0.001). Taken into account in the same model, frailty remained significantly associated with all health and functional outcomes, and PD was significantly associated with only MMSE, disability and medications used. In secondary analyses, there were mixed associations of system-specific PDs with frailty and different adverse outcomes. Conclusions: Co-existing PD and physical frailty independently predict mortality and functional and health outcomes, with increased predictive accuracy when combined. PD appears to be a valid representation of a biological endo-phenotype of frailty, and the potential utility of such subclinical measures of frailty could be further studied. |
format | Online Article Text |
id | pubmed-8569246 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85692462021-11-06 Physiological Dysregulation, Frailty, and Impacts on Adverse Health and Functional Outcomes Lu, Yanxia Gwee, Xinyi Chua, Denise Q. L. Tan, Crystal T. Y. Yap, Keng Bee Larbi, Anis Ng, Tze Pin Front Med (Lausanne) Medicine Background: Multi-system physiological dysregulation (PD) may represent a biological endo-phenotype of clinical frailty. We investigated the co-occurrence of PD with physical frailty and its contributions to the known impact of frailty on adverse health outcomes. Methods: Data of 2,725 participants from the Singapore Longitudinal Aging Studies (SLAS-2), included baseline measures of physical frailty and PD derived from Mahalanobis distance (Dm) value of 23 blood biomarkers. We analyzed their concurrent association and their impacts on 9-year mortality, MMSE cognition, GDS depression, number of medications, disability, and hospitalization at baseline and follow up (mean 4.5 years). Results: Global PD (Log(10)Dm, mean = 1.24, SD = 0.24) was significantly but weakly associated with pre-frailty-and-frailty. Controlling for age, sex and education, pre-frailty-and-frailty (HR = 2.12, 95% CI = 1.51–3.00) and PD (HR = 3.88, 95% CI = 2.15–6.98) predicted mortality. Together in the same model, mortality HR associated with pre-frailty-and-frailty (HR = 1.83, 95% CI = 1.22–2.73) and PD (HR = 3.06, 95% CI = 1.60–5.85) were reduced after additionally adding global PD to the prediction model. The predictive accuracy for mortality were both approximately the same (PD: AUC = 0.62, frailty: AUC = 0.64), but AUC was significantly increased to 0.68 when combined (p < 0.001). Taken into account in the same model, frailty remained significantly associated with all health and functional outcomes, and PD was significantly associated with only MMSE, disability and medications used. In secondary analyses, there were mixed associations of system-specific PDs with frailty and different adverse outcomes. Conclusions: Co-existing PD and physical frailty independently predict mortality and functional and health outcomes, with increased predictive accuracy when combined. PD appears to be a valid representation of a biological endo-phenotype of frailty, and the potential utility of such subclinical measures of frailty could be further studied. Frontiers Media S.A. 2021-10-22 /pmc/articles/PMC8569246/ /pubmed/34746185 http://dx.doi.org/10.3389/fmed.2021.751022 Text en Copyright © 2021 Lu, Gwee, Chua, Tan, Yap, Larbi and Ng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Lu, Yanxia Gwee, Xinyi Chua, Denise Q. L. Tan, Crystal T. Y. Yap, Keng Bee Larbi, Anis Ng, Tze Pin Physiological Dysregulation, Frailty, and Impacts on Adverse Health and Functional Outcomes |
title | Physiological Dysregulation, Frailty, and Impacts on Adverse Health and Functional Outcomes |
title_full | Physiological Dysregulation, Frailty, and Impacts on Adverse Health and Functional Outcomes |
title_fullStr | Physiological Dysregulation, Frailty, and Impacts on Adverse Health and Functional Outcomes |
title_full_unstemmed | Physiological Dysregulation, Frailty, and Impacts on Adverse Health and Functional Outcomes |
title_short | Physiological Dysregulation, Frailty, and Impacts on Adverse Health and Functional Outcomes |
title_sort | physiological dysregulation, frailty, and impacts on adverse health and functional outcomes |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569246/ https://www.ncbi.nlm.nih.gov/pubmed/34746185 http://dx.doi.org/10.3389/fmed.2021.751022 |
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