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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
Language English Country England, Great Britain
Document type Journal Article, Multicenter Study
Grant support
Wellcome Trust - United Kingdom
R01 AG023522
NIA NIH HHS - United States
NLK
ProQuest Central
from 1979-06-01 to 6 months ago
Nursing & Allied Health Database (ProQuest)
from 1979-06-01 to 6 months ago
Health & Medicine (ProQuest)
from 1979-06-01 to 6 months ago
Psychology Database (ProQuest)
from 1979-06-01 to 6 months ago
Public Health Database (ProQuest)
from 1979-06-01 to 6 months ago
- MeSH
- Geriatric Assessment * MeSH
- Cardiovascular Diseases * mortality MeSH
- Frailty * mortality MeSH
- Frail Elderly * statistics & numerical data MeSH
- Middle Aged MeSH
- Humans MeSH
- Cause of Death MeSH
- Proportional Hazards Models MeSH
- Prospective Studies MeSH
- Risk Factors MeSH
- Aged MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Multicenter Study MeSH
- Geographicals
- Czech Republic MeSH
- Lithuania MeSH
- Poland MeSH
- Europe, Eastern 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
References provided by 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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