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J Am Med Dir Assoc ; 19(4): 296-303, 2018 04.
Artigo em Inglês | MEDLINE | ID: mdl-29153753

RESUMO

BACKGROUND: Information about the impact of frailty in patients with acute coronary syndromes (ACS) is scarce. No study has assessed the prognostic impact of frailty as measured by the FRAIL scale in very elderly patients with ACS. METHODS: The prospective multicenter LONGEVO-SCA registry included unselected patients with ACS aged 80 years or older. A comprehensive geriatric assessment was performed during hospitalization, including frailty assessment by the FRAIL scale. The primary endpoint was mortality at 6 months. RESULTS: A total of 532 patients were included. Mean age was 84.3 years, 61.7% male. Most patients had positive troponin levels (84%) and high GRACE risk score values (mean 165). A total of 205 patients were classified as prefrail (38.5%) and 145 as frail (27.3%). Frail and prefrail patients had a higher prevalence of comorbidities, lower left ventricle ejection fraction, and higher mean GRACE score value. A total of 63 patients (11.8%) were dead at 6 months. Both prefrailty and frailty were associated with higher 6-month mortality rates (P < .001). After adjusting for potential confounders, this association remained significant (hazard ratio [HR] 2.71; 95% confidence interval [CI] 1.09-6.73 for prefrailty and HR 2.99; 95% CI 1.20-7.44 for frailty, P = .024). The other independent predictors of mortality were age, Charlson Index, and GRACE risk score. CONCLUSIONS: The FRAIL scale is a simple tool that independently predicts mortality in unselected very elderly patients with ACS. The presence of prefrailty criteria also should be taken into account when performing risk stratification of these patients.


Assuntos
Síndrome Coronariana Aguda/epidemiologia , Causas de Morte , Fragilidade/diagnóstico , Fragilidade/epidemiologia , Sistema de Registros , Síndrome Coronariana Aguda/diagnóstico , Idoso de 80 Anos ou mais , Comorbidade , Feminino , Idoso Fragilizado/estatística & dados numéricos , Humanos , Estimativa de Kaplan-Meier , Masculino , Prevalência , Prognóstico , Modelos de Riscos Proporcionais , Estudos Prospectivos , Medição de Risco , Espanha , Análise de Sobrevida , Fatores de Tempo
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