AIMS: There have been no large observational studies attempting to identify predictors of major bleeding in patients with acute coronary syndromes (ACS), particularly from a multinational perspective. The objective of our study was thus to develop a prediction rule for the identification of patients with ACS at higher risk of major bleeding. METHODS AND RESULTS: Data from 24045 patients from the Global Registry of Acute Coronary Events (GRACE) were analysed. Factors associated with major bleeding were identified using logistic regression analysis. Predictive models were developed for the overall patient population and for subgroups of patients with ST-segment elevation myocardial infarction (STEMI), non-ST-segment elevation myocardial infarction (NSTEMI) and unstable angina. The overall incidence of major bleeding was 3.9% (4.8% in patients with STEMI, 4.7% in patients with NSTEMI and 2.3% in patients with unstable angina). Advanced age, female sex, history of bleeding, and renal insufficiency were independently associated with a higher risk of bleeding (P<0.01). The association remained after adjustment for hospital therapies and performance of invasive procedures. After adjustment for a variety of potential confounders, major bleeding was significantly associated with an increased risk of hospital death (adjusted odds ratio 1.64, 95% confidence interval 1.18, 2.28). CONCLUSIONS: In routine clinical practice, major bleeding is a relatively frequent non-cardiac complication of contemporary therapy for ACS and it is associated with a poor hospital prognosis. Simple baseline demographic and clinical characteristics identify patients at increased risk of major bleeding.
AIMS: There have been no large observational studies attempting to identify predictors of major bleeding in patients with acute coronary syndromes (ACS), particularly from a multinational perspective. The objective of our study was thus to develop a prediction rule for the identification of patients with ACS at higher risk of major bleeding. METHODS AND RESULTS: Data from 24045 patients from the Global Registry of Acute Coronary Events (GRACE) were analysed. Factors associated with major bleeding were identified using logistic regression analysis. Predictive models were developed for the overall patient population and for subgroups of patients with ST-segment elevation myocardial infarction (STEMI), non-ST-segment elevation myocardial infarction (NSTEMI) and unstable angina. The overall incidence of major bleeding was 3.9% (4.8% in patients with STEMI, 4.7% in patients with NSTEMI and 2.3% in patients with unstable angina). Advanced age, female sex, history of bleeding, and renal insufficiency were independently associated with a higher risk of bleeding (P<0.01). The association remained after adjustment for hospital therapies and performance of invasive procedures. After adjustment for a variety of potential confounders, major bleeding was significantly associated with an increased risk of hospital death (adjusted odds ratio 1.64, 95% confidence interval 1.18, 2.28). CONCLUSIONS: In routine clinical practice, major bleeding is a relatively frequent non-cardiac complication of contemporary therapy for ACS and it is associated with a poor hospital prognosis. Simple baseline demographic and clinical characteristics identify patients at increased risk of major bleeding.
Authors: Kent Feng; Vipul Gupta; Enrique Terrazas; Yerem Yeghiazarians; Thomas Ports; Gabriel Gregoratos; Mehdi Tavakol; John Paul Roberts; Andrew Boyle Journal: Am J Cardiovasc Dis Date: 2014-10-11
Authors: Sumeet Subherwal; Eric D Peterson; David Dai; Laine Thomas; John C Messenger; Ying Xian; Ralph G Brindis; Dmitriy N Feldman; Shaun Senter; Lloyd W Klein; Steven P Marso; Matthew T Roe; Sunil V Rao Journal: J Am Coll Cardiol Date: 2012-05-22 Impact factor: 24.094
Authors: David H Fitchett; Bjug Borgundvaag; Warren Cantor; Eric Cohen; Sanjay Dhingra; Stephen Fremes; Milan Gupta; Michael Heffernan; Heather Kertland; Mansoor Husain; Anatoly Langer; Eric Letovsky; Shaun G Goodman Journal: Can J Cardiol Date: 2006-06 Impact factor: 5.223