The Role of a Composite Fitness Score in the Association Between Low-Density Cholesterol and All-Cause Mortality in Older Adults: An Individual Patient Data Meta-Analysis.

Activities of daily living Cognition Frailty Grip strength Oldest old

Journal

The journals of gerontology. Series A, Biological sciences and medical sciences
ISSN: 1758-535X
Titre abrégé: J Gerontol A Biol Sci Med Sci
Pays: United States
ID NLM: 9502837

Informations de publication

Date de publication:
27 08 2023
Historique:
received: 31 12 2022
medline: 29 8 2023
pubmed: 14 6 2023
entrez: 14 6 2023
Statut: ppublish

Résumé

In the general population, an increase in low-density lipoprotein cholesterol (LDL-C) predicts higher cardiovascular disease risk, and lowering LDL-C can prevent cardiovascular disease and reduces mortality risk. Interestingly, in cohort studies that include very old populations, no or inverse associations between LDL-C and mortality have been observed. This study aims to investigate whether the association between LDL-C and mortality in the very old is modified by a composite fitness score. A 2-stage meta-analysis of individual participant data from the 5 observational cohort studies. The composite fitness score was operationalized by performance on a combination of 4 markers: functional ability, cognitive function, grip strength, and morbidity. We pooled hazard ratios (HR) from Cox proportional-hazards models for 5-year mortality risk for a 1 mmol/L increase in LDL-C. Models were stratified by high/low composite fitness score. Composite fitness scores were calculated for 2 317 participants (median 85 years, 60% females participants), of which 994 (42.9%) had a high composite fitness score, and 694 (30.0%) had a low-composite fitness score. There was an inverse association between LDL-C and 5-year mortality risk (HR 0.87 [95% CI: 0.80-0.94]; p < .01), most pronounced in participants with a low-composite fitness score (HR 0.85 [95% CI: 0.75-0.96]; p = .01), compared to those with a high composite fitness score (HR = 0.98 [95% CI: 0.83-1.15]; p = .78), the test for subgroups differences was not significant. In this very old population, there was an inverse association between LDL-C and all-cause mortality, which was most pronounced in participants with a low-composite fitness scores.

Sections du résumé

BACKGROUND
In the general population, an increase in low-density lipoprotein cholesterol (LDL-C) predicts higher cardiovascular disease risk, and lowering LDL-C can prevent cardiovascular disease and reduces mortality risk. Interestingly, in cohort studies that include very old populations, no or inverse associations between LDL-C and mortality have been observed. This study aims to investigate whether the association between LDL-C and mortality in the very old is modified by a composite fitness score.
METHODS
A 2-stage meta-analysis of individual participant data from the 5 observational cohort studies. The composite fitness score was operationalized by performance on a combination of 4 markers: functional ability, cognitive function, grip strength, and morbidity. We pooled hazard ratios (HR) from Cox proportional-hazards models for 5-year mortality risk for a 1 mmol/L increase in LDL-C. Models were stratified by high/low composite fitness score.
RESULTS
Composite fitness scores were calculated for 2 317 participants (median 85 years, 60% females participants), of which 994 (42.9%) had a high composite fitness score, and 694 (30.0%) had a low-composite fitness score. There was an inverse association between LDL-C and 5-year mortality risk (HR 0.87 [95% CI: 0.80-0.94]; p < .01), most pronounced in participants with a low-composite fitness score (HR 0.85 [95% CI: 0.75-0.96]; p = .01), compared to those with a high composite fitness score (HR = 0.98 [95% CI: 0.83-1.15]; p = .78), the test for subgroups differences was not significant.
CONCLUSIONS
In this very old population, there was an inverse association between LDL-C and all-cause mortality, which was most pronounced in participants with a low-composite fitness scores.

Identifiants

pubmed: 37314150
pii: 7197698
doi: 10.1093/gerona/glad148
pmc: PMC10460558
doi:

Substances chimiques

Cholesterol, LDL 0

Types de publication

Meta-Analysis Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1708-1716

Subventions

Organisme : Medical Research Council
ID : G0500997
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
Pays : United Kingdom
Organisme : British Heart Foundation
Pays : United Kingdom
Organisme : Department of Health
Pays : United Kingdom

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of The Gerontological Society of America.

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Auteurs

Milly A van der Ploeg (MA)

Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.

Rosalinde K E Poortvliet (RKE)

Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.

Jonathan M K Bogaerts (JMK)

Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.

Veerle M G T H van der Klei (VMGTH)

Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.

Ngaire Kerse (N)

School of Population Health, University of Auckland, Auckland, New Zealand.

Anna Rolleston (A)

The Centre for Health, Tauranga, New Zealand.

Ruth Teh (R)

School of Population Health, University of Auckland, Auckland, New Zealand.

Louise Robinson (L)

Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.

Carol Jagger (C)

Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.

Yasumichi Arai (Y)

Center for Supercentenarian Medical Research, Keio University School of Medicine, Tokyo, Japan.

Ryo Shikimoto (R)

Center for Supercentenarian Medical Research, Keio University School of Medicine, Tokyo, Japan.

Yukiko Abe (Y)

Center for Supercentenarian Medical Research, Keio University School of Medicine, Tokyo, Japan.

Jeanet W Blom (JW)

Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.

Yvonne M Drewes (YM)

Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.
Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.

Jacobijn Gussekloo (J)

Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.
Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.

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Classifications MeSH