BACKGROUND: For the large and growing population of elderly patients with cardiovascular disease, it is important to identify clinically relevant measures of biological age and their contribution to risk. Frailty is an emerging concept in medicine denoting increased vulnerability and decreased physiological reserves. We analyzed the manner in which the variable frailty predicts short-term outcomes for elderly non-ST-segment elevation myocardial infarction patients. METHODS AND RESULTS: Patients aged ≥ 75 years, with diagnosed non-ST-segment elevation myocardial infarction were included at 3 centers, and clinical data including judgment of frailty were collected prospectively. Frailty was defined according to the Canadian Study of Health and Aging Clinical Frailty Scale. The impact of the comorbid conditions on risk was quantified by the coronary artery disease-specific index. Of 307 patients, 149 (48.5%) were considered frail. By multiple logistic regression, frailty was found to be strongly and independently associated with risk for the primary composite outcome (death from any cause, myocardial reinfarction, revascularization due to ischemia, hospitalization for any cause, major bleeding, stroke/transient ischemic attack, and need for dialysis up to 1 month after inclusion) (odds ratio, 2.2; 95% confidence interval, 1.3-3.7), in-hospital mortality (odds ratio, 4.6; 95% confidence interval, 1.3-16.8), and 1-month mortality (odds ratio, 4.7; 95% confidence interval, 1.7-13.0). CONCLUSIONS: Frailty is strongly and independently associated with in-hospital mortality, 1-month mortality, prolonged hospital care, and the primary composite outcome. The combined use of frailty and comorbidity may constitute an ultimate risk prediction concept in regard to cardiovascular patients with complex needs.
BACKGROUND: For the large and growing population of elderly patients with cardiovascular disease, it is important to identify clinically relevant measures of biological age and their contribution to risk. Frailty is an emerging concept in medicine denoting increased vulnerability and decreased physiological reserves. We analyzed the manner in which the variable frailty predicts short-term outcomes for elderly non-ST-segment elevation myocardial infarctionpatients. METHODS AND RESULTS:Patients aged ≥ 75 years, with diagnosed non-ST-segment elevation myocardial infarction were included at 3 centers, and clinical data including judgment of frailty were collected prospectively. Frailty was defined according to the Canadian Study of Health and Aging Clinical Frailty Scale. The impact of the comorbid conditions on risk was quantified by the coronary artery disease-specific index. Of 307 patients, 149 (48.5%) were considered frail. By multiple logistic regression, frailty was found to be strongly and independently associated with risk for the primary composite outcome (death from any cause, myocardial reinfarction, revascularization due to ischemia, hospitalization for any cause, major bleeding, stroke/transient ischemic attack, and need for dialysis up to 1 month after inclusion) (odds ratio, 2.2; 95% confidence interval, 1.3-3.7), in-hospital mortality (odds ratio, 4.6; 95% confidence interval, 1.3-16.8), and 1-month mortality (odds ratio, 4.7; 95% confidence interval, 1.7-13.0). CONCLUSIONS: Frailty is strongly and independently associated with in-hospital mortality, 1-month mortality, prolonged hospital care, and the primary composite outcome. The combined use of frailty and comorbidity may constitute an ultimate risk prediction concept in regard to cardiovascular patients with complex needs.
Authors: Gonzalo Luis Alonso Salinas; Marcelo Sanmartin; Marina Pascual Izco; Luis Miguel Rincon; Pablo Pastor Pueyo; Alvaro Marco Del Castillo; Alberto Garcia Guerrero; Pedro Caravaca Perez; Alejandro Recio-Mayoral; Asuncion Camino; Manuel Jimenez-Mena; José Luis Zamorano Journal: Clin Cardiol Date: 2017-07-16 Impact factor: 2.882
Authors: P Forti; F Maioli; E Zagni; T Lucassenn; L Montanari; B Maltoni; G Luca Pirazzoli; G Bianchi; M Zoli Journal: J Nutr Health Aging Date: 2014-12 Impact factor: 4.075
Authors: John A Dodson; Suzanne V Arnold; Kensey L Gosch; Thomas M Gill; John A Spertus; Harlan M Krumholz; Michael W Rich; Sarwat I Chaudhry; Daniel E Forman; Frederick A Masoudi; Karen P Alexander Journal: J Am Geriatr Soc Date: 2016-03-01 Impact factor: 5.562
Authors: Sheila M Manemann; Alanna M Chamberlain; Cynthia M Boyd; Donna M Miller; Kimberly L Poe; Andrea Cheville; Susan A Weston; Ellen E Koepsell; Ruoxiang Jiang; Véronique L Roger Journal: Circ Cardiovasc Qual Outcomes Date: 2018-08
Authors: Jonathan Afilalo; Karen P Alexander; Michael J Mack; Mathew S Maurer; Philip Green; Larry A Allen; Jeffrey J Popma; Luigi Ferrucci; Daniel E Forman Journal: J Am Coll Cardiol Date: 2013-11-27 Impact factor: 24.094