Predictors of mortality and adverse outcome in elderly high-risk patients undergoing percutaneous coronary intervention

• Published in: Archivos de cardiología de México Vol. 77; no. 3; pp. 194 - 199
• Main Authors: Miranda Malpica, Emma, Peña Duque, Marco Antonio, Castellanos, José, Exaire, Emilio, Arrieta, Oscar, Salazar Dávila, Eduardo, Villavicencio Fernández, Ramón, Delgadillo-Rodríguez, Hilda, González-Quesada, Carlos J, Martínez-Ríos, Marco A
• Format: Journal Article
• Language: English
• Published: Mexico 01.07.2007
• Subjects: Aged, 80 and over; Angioplasty, Balloon, Coronary - adverse effects; Angioplasty, Balloon, Coronary - mortality; Cardiovascular Diseases - etiology; Cardiovascular Diseases - mortality; Female; Humans; Male; Prognosis; Retrospective Studies; Risk Factors
• ISSN: 1405-9940

We sought to identify predictors of in-hospital and long-term (> 1 year) mortality and major adverse cardiac events (MACE) in elderly patients referred for percutaneous coronary intervention (PCI). Seventy-three patients (> or = 80 years) were included. Clinical and interventional characteristics were collected retrospectively. Primary end points were in-hospital and long-term mortality, and a composite of non-fatal myocardial infarction, target vessel revascularization, urgent coronary artery bypass graft surgery, and death (MACE). Eighty-three percent of the patients had acute coronary syndromes, 43% three-vessel disease, and 42% heart failure. In-hospital mortality and MACE were 16.4% and 19%, respectively. Long-term mortality and MACE were 11.3% and 16.4%, respectively. Univariate characteristics associated with in-hospital mortality and MACE were: Killip Class III-IV, heart failure, cardiogenic shock, TIMI 0-2 flow prior and after intervention, diabetes mellitus, contrast nephropathy, and presence of A-V block or atrial fibrillation (AF). Long term predictors for mortality were the presence of heart failure, cardiogenic shock, diabetes mellitus, TIMI flow 0-2 before and after intervention, and A-V block or AF. The identification of the factors previously mentioned may help to predict complications in elderly patients.