J 2024

Frailty index is an independent predictor of all-cause and cardiovascular mortality in Eastern Europe: a multicentre cohort study

SARYCHEVA ÉP. COURT, Tatyana Vladimirovna, Naděžda ČAPKOVÁ, Andrzej PAJAK, Abdonas TAMOSIUNAS, Martin BOBÁK et. al.

Basic information

Original name

Frailty index is an independent predictor of all-cause and cardiovascular mortality in Eastern Europe: a multicentre cohort study

Authors

SARYCHEVA ÉP. COURT, Tatyana Vladimirovna, Naděžda ČAPKOVÁ, Andrzej PAJAK, Abdonas TAMOSIUNAS, Martin BOBÁK and Hynek PIKHART

Edition

Journal of Epidemiology and Community Health, LONDON, BMJ PUBLISHING GROUP, 2024, 0143-005X

Other information

Language

English

Type of outcome

Article in a journal

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

is not subject to a state or trade secret

References:

URL

Organization

Přírodovědecká fakulta – Repository – Repository

DOI

http://dx.doi.org/10.1136/jech-2023-221761

UT WoS

001297495900001

EID Scopus

2-s2.0-85204379014

Keywords in English

AGING; MORTALITY; COHORT STUDIES

Links

EF17_043/0009632, research and development project. LX22NPO5104, research and development project. 857487, interní kód Repo. 857560, interní kód Repo. RECETOX RI II, large research infrastructures.
Changed: 26/2/2025 00:50, RNDr. Daniel Jakubík

Abstract

V originále

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.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.
Displayed: 18/6/2025 23:15