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Frailty index is an independent predictor of all-cause and cardiovascular mortality in Eastern Europe: a multicentre cohort study
T. Court, N. Capkova, A. Pająk, A. Tamosiunas, M. Bobák, H. Pikhart
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články, multicentrická studie
Grantová podpora
Wellcome Trust - United Kingdom
R01 AG023522
NIA NIH HHS - United States
NLK
ProQuest Central
od 1979-06-01 do Před 6 měsíci
Nursing & Allied Health Database (ProQuest)
od 1979-06-01 do Před 6 měsíci
Health & Medicine (ProQuest)
od 1979-06-01 do Před 6 měsíci
Psychology Database (ProQuest)
od 1979-06-01 do Před 6 měsíci
Public Health Database (ProQuest)
od 1979-06-01 do Před 6 měsíci
PubMed
39181708
DOI
10.1136/jech-2023-221761
Knihovny.cz E-zdroje
- MeSH
- geriatrické hodnocení * MeSH
- kardiovaskulární nemoci * mortalita MeSH
- křehkost * mortalita MeSH
- křehký senior * statistika a číselné údaje MeSH
- lidé středního věku MeSH
- lidé MeSH
- příčina smrti MeSH
- proporcionální rizikové modely MeSH
- prospektivní studie MeSH
- rizikové faktory MeSH
- senioři MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
- Geografické názvy
- Česká republika MeSH
- Litva MeSH
- Polsko MeSH
- východní Evropa MeSH
BACKGROUND: This study investigates the association between frailty and mortality in Eastern European populations, which remains largely unexplored compared with Western Europe. The aim is to assess the risk of all-cause and cardiovascular mortality associated with varying levels of frailty. METHODS: A prospective multicentre cohort study was conducted, involving random population samples from the Czech Republic, Poland and Lithuania. The baseline survey (2002-2005) included 26 746 individuals aged 45-69 years, with an average follow-up of 13 years. Frailty was measured using a Comprehensive Geriatric Assessment (CGA)-based Frailty Index (FI), calculating the number of deficits in each domain. Cox proportional regression models and inverse probability weighting (IPW) were employed to account for risk factor differences among the frailty groups: robust, prefrail, mild, moderate and severe. RESULTS: The study included 14 287 people, among whom 891 were frail, with a total of 2402 deaths.Compared with non-frail persons, those with mild (IPW HR 2.06, 95% CI 1.60 to 2.66) and severe (IPW HR 2.71, 95% CI 1.45 to 5.07) frailty had more than twofold elevated risk of all-cause mortality. For cardiovascular mortality, the corresponding HRs were (IPW HR 3.05, 95% CI 2.14 to 4.35) and (IPW HR 3.88, 95% CI 1.95 to 7.74). Men exhibited a higher mortality risk at all frailty levels only in unweighted analysis. Country-specific differences were not significant. CONCLUSIONS: A CGA-based FI is an independent predictor of all-cause and cardiovascular mortality, with even mild frailty increasing the risk. Implementing frailty assessments can improve health risk prediction in older adults from Eastern Europe.
National Institute of Public Health Prague Czech Republic
RECETOX Faculty of Science Masaryk University Brno Czech Republic
Research Department of Epidemiology and Public Health University College London London UK
Citace poskytuje Crossref.org
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- $a BACKGROUND: This study investigates the association between frailty and mortality in Eastern European populations, which remains largely unexplored compared with Western Europe. The aim is to assess the risk of all-cause and cardiovascular mortality associated with varying levels of frailty. METHODS: A prospective multicentre cohort study was conducted, involving random population samples from the Czech Republic, Poland and Lithuania. The baseline survey (2002-2005) included 26 746 individuals aged 45-69 years, with an average follow-up of 13 years. Frailty was measured using a Comprehensive Geriatric Assessment (CGA)-based Frailty Index (FI), calculating the number of deficits in each domain. Cox proportional regression models and inverse probability weighting (IPW) were employed to account for risk factor differences among the frailty groups: robust, prefrail, mild, moderate and severe. RESULTS: The study included 14 287 people, among whom 891 were frail, with a total of 2402 deaths.Compared with non-frail persons, those with mild (IPW HR 2.06, 95% CI 1.60 to 2.66) and severe (IPW HR 2.71, 95% CI 1.45 to 5.07) frailty had more than twofold elevated risk of all-cause mortality. For cardiovascular mortality, the corresponding HRs were (IPW HR 3.05, 95% CI 2.14 to 4.35) and (IPW HR 3.88, 95% CI 1.95 to 7.74). Men exhibited a higher mortality risk at all frailty levels only in unweighted analysis. Country-specific differences were not significant. CONCLUSIONS: A CGA-based FI is an independent predictor of all-cause and cardiovascular mortality, with even mild frailty increasing the risk. Implementing frailty assessments can improve health risk prediction in older adults from Eastern Europe.
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