Frailty in elderly patients undergoing primary percutaneous coronary intervention.
Eur J Cardiovasc Nurs. 2018 Aug 29;:1474515118796836
Authors: Calvo E, Teruel L, Rosenfeld L, Guerrero C, Romero M, Romaguera R, Izquierdo S, Asensio S, Andreu-Periz L, Gómez-Hospital JA, Ariza-Solé A
BACKGROUND: The prevalence of frailty, cognitive impairment and disability and its prognostic impact in patients with myocardial infarction undergoing primary percutaneous coronary intervention is unknown.
AIMS: The aim of this study was to assess the prevalence of frailty and other ageing-related variables and their association with inhospital mortality in consecutive elderly ST-segment elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention in a tertiary care hospital.
METHODS: We prospectively included patients aged 75 years or older with STEMI undergoing primary percutaneous coronary intervention. The nursing team provided pre-discharge, standardised questionnaires and tests to each patient to study the presence of frailty (FRAIL scale), comorbidity (Charlson index), disability (Barthel test, Lawton-Brody index), nutritional risk (MNA-SF test) and cognitive status (Pfeiffer test). The association between ageing-related variables and mortality was assessed by binary logistic regression.
RESULTS: A total of 259 patients were included with a mean age of 82.6±6 years, 57.9% men. A total of 51 patients (19.7%) were frail, 26 presented with moderate or severe disability (10%), and 82 were at risk of malnutrition (31.7%). Frailty was associated with a higher prevalence of diabetes, hypertension and previous stroke, and a higher inhospital mortality (21.6% vs. 3.4%; P<0.001). After adjusting for potential confounders, this association remained significant (odds ratio 3.96; 95% confidence interval 1.16-13.56; P=0.028).
CONCLUSION: A not negligible proportion of elderly patients with STEMI fulfilled the frailty criteria. Frailty was independently associated with mortality. A very simple, feasible geriatric assessment by trained nurses can contribute to predict mortality.
PMID: 30156426 [PubMed - as supplied by publisher]