Publication:
Frailty is an independent prognostic marker in elderly patients with myocardial infarction.

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2017-07-16

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Alonso Salinas, Gonzalo Luis
Sanmartin, Marcelo
Pascual Izco, Marina
Rincon, Luis Miguel
Pastor Pueyo, Pablo
Marco Del Castillo, Alvaro
Garcia Guerrero, Alberto
Caravaca Perez, Pedro
Recio-Mayoral, Alejandro
Camino, Asuncion

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Abstract

Acute coronary syndrome (ACS) patients are increasingly older. Conventional prognostic scales include chronological age but do not consider vulnerability. In elderly patients, a frail phenotype represents a better reflection of biological age. This study aims to determine the prevalence of frailty and its influence on patients age ≥75 years with ACS. Patients age ≥75 years admitted due to type 1 myocardial infarction were included in 2 tertiary hospitals, and clinical data were collected prospectively. Frailty was defined at admission using the previously validated Survey of Health Ageing and Retirement in Europe Frailty Index (SHARE-FI) tool. The primary endpoint was the combination of death or nonfatal myocardial reinfarction during a follow-up of 6 months. Major bleeding (hemoglobin decrease ≥3 g/dL or transfusion needed) and readmission rates were also explored. A total of 234 consecutive patients were included. Frail patients (40.2%) had a higher-risk profile, based on higher age and comorbidities. On multivariate analysis, frailty was an independent predictor of the combination of death or nonfatal myocardial reinfarction (adjusted hazard ratio [aHR]: 2.54, 95% confidence interval [CI]: 1.12-5.79), an independent predictor of the combination of death, nonfatal myocardial reinfarction, or major bleeding (aHR: 2.14, 95% CI: 1.13-4.04), and an independent predictor of readmission (aHR: 1.80, 95% CI: 1.00-3.22). Frailty phenotype at admission is common among elderly patients with ACS and is an independent predictor for severe adverse events. It should be considered in future risk-stratification models.

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MeSH Terms

Age Factors
Aged
Aged, 80 and over
Aging
Chi-Square Distribution
Comorbidity
Female
Frail Elderly
Frailty
Hemorrhage
Humans
Kaplan-Meier Estimate
Logistic Models
Male
Multivariate Analysis
Myocardial Infarction
Odds Ratio
Phenotype
Prevalence
Prognosis
Prospective Studies
Recurrence
Risk Factors
Spain
Tertiary Care Centers
Time Factors

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CIE Terms

Keywords

Acute Coronary Syndrome, Acute Myocardial Infarction, Aging, Frailty, Prognosis

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