OBJECTIVES: The purpose of this study was to determine the predictors of major bleeding and the impact of major bleeding on outcomes, including mortality, in acute coronary syndromes (ACS). BACKGROUND: Whether major bleeding independently predicts mortality in patients with ACS undergoing an early invasive strategy is undefined. METHODS:Patients (n = 13,819) with moderate- and high-risk ACS were randomized to heparin (unfractionated or enoxaparin) plus glycoprotein IIb/IIIa inhibition (GPI), bivalirudin plus GPI, or bivalirudin monotherapy (plus provisional GPI). Logistic regression was used to determine predictors of 30-day major bleeding and mortality. RESULTS:Major bleeding rates in patients treated with heparin plus GPI were higher versus bivalirudin monotherapy (5.7% vs. 3.0%, p < 0.001) and similar versus bivalirudin plus GPI (5.7% vs. 5.3%, p = 0.38). Independent predictors of major bleeding were advanced age, female gender, diabetes, hypertension, renal insufficiency, anemia, no prior percutaneous coronary intervention, cardiac biomarker elevation, ST-segment deviation >/=1 mm, and treatment with heparin plus GPI versus bivalirudin monotherapy. Patients with major bleeding had higher 30-day rates of mortality (7.3% vs. 1.2%, p < 0.0001), composite ischemia (23.1% vs. 6.8%, p < 0.0001), and stent thrombosis (3.4% vs. 0.6%, p < 0.0001) versus those without major bleeding. Major bleeding was an independent predictor of 30-day mortality (odds ratio 7.55, 95% confidence interval 4.68 to 12.18, p < 0.0001). CONCLUSIONS:Major bleeding is a powerful independent predictor of 30-day mortality in patients with ACS managed invasively. Several factors independently predict major bleeding, including treatment with heparin plus GPI compared with bivalirudin monotherapy. Knowledge of these findings might be useful to reduce bleeding risk and improve outcomes in ACS.
RCT Entities:
OBJECTIVES: The purpose of this study was to determine the predictors of major bleeding and the impact of major bleeding on outcomes, including mortality, in acute coronary syndromes (ACS). BACKGROUND: Whether major bleeding independently predicts mortality in patients with ACS undergoing an early invasive strategy is undefined. METHODS:Patients (n = 13,819) with moderate- and high-risk ACS were randomized to heparin (unfractionated or enoxaparin) plus glycoprotein IIb/IIIa inhibition (GPI), bivalirudin plus GPI, or bivalirudin monotherapy (plus provisional GPI). Logistic regression was used to determine predictors of 30-day major bleeding and mortality. RESULTS: Major bleeding rates in patients treated with heparin plus GPI were higher versus bivalirudin monotherapy (5.7% vs. 3.0%, p < 0.001) and similar versus bivalirudin plus GPI (5.7% vs. 5.3%, p = 0.38). Independent predictors of major bleeding were advanced age, female gender, diabetes, hypertension, renal insufficiency, anemia, no prior percutaneous coronary intervention, cardiac biomarker elevation, ST-segment deviation >/=1 mm, and treatment with heparin plus GPI versus bivalirudin monotherapy. Patients with major bleeding had higher 30-day rates of mortality (7.3% vs. 1.2%, p < 0.0001), composite ischemia (23.1% vs. 6.8%, p < 0.0001), and stent thrombosis (3.4% vs. 0.6%, p < 0.0001) versus those without major bleeding. Major bleeding was an independent predictor of 30-day mortality (odds ratio 7.55, 95% confidence interval 4.68 to 12.18, p < 0.0001). CONCLUSIONS: Major bleeding is a powerful independent predictor of 30-day mortality in patients with ACS managed invasively. Several factors independently predict major bleeding, including treatment with heparin plus GPI compared with bivalirudin monotherapy. Knowledge of these findings might be useful to reduce bleeding risk and improve outcomes in ACS.
Authors: Bhaskar Bhardwaj; John A Spertus; Kevin F Kennedy; W Schuyler Jones; David Safley; Thomas T Tsai; Herbert D Aronow; Amit N Vora; Yashashwi Pokharel; Arun Kumar; Robert R Attaran; Dmitriy N Feldman; Ehrin Armstrong; Anand Prasad; Bruce Gray; Adam C Salisbury Journal: JACC Cardiovasc Interv Date: 2019-06-24 Impact factor: 11.195
Authors: Charles L Campbell; Steven R Steinhubl; William C Hooper; Joseph Jozic; Susan S Smyth; Debra Bernstein; Christine De Staercke; George Syros; Brian H Negus; Thomas Stuckey; Gregg W Stone; Roxana Mehran; George Dangas Journal: J Thromb Thrombolysis Date: 2011-02 Impact factor: 2.300
Authors: Connie N Hess; Sunil V Rao; David F Kong; Julie M Miller; Kevin J Anstrom; Olivier F Bertrand; Jean-Philippe Collet; Mark B Effron; Benjamin C Eloff; Emmanuel O Fadiran; Andrew Farb; Ian C Gilchrist; David R Holmes; Alice K Jacobs; Prashant Kaul; L Kristin Newby; David R Rutledge; Dale R Tavris; Thomas T Tsai; Roseann M White; Eric D Peterson; Mitchell W Krucoff Journal: Am Heart J Date: 2013-03 Impact factor: 4.749