BACKGROUND:Left ventricular systolic dysfunction (LVSD) and heart failure (HF) are powerful predictors of poor outcome after acute myocardial infarction (MI). It is not known, however, whether the extent of coronary artery disease (CAD) independently influences cardiovascular (CV) outcomes in these high-risk patients. METHODS: In the VALIANT, 14703 patients were randomly assigned to receive either captopril monotherapy, valsartan monotherapy, or a valsartan and captopril combination between 0.5 and 10 days after acute MI complicated by LVSD, HF, or both. Cox proportional hazards models were used to evaluate the relation between the extent of CAD (the number of diseased vessels as assessed by angiography) and a range of CV outcomes and all-cause mortality. RESULTS: Coronary angiography data were available on 5742 (40%) of the 14703 randomized patients. Single-vessel disease was reported in 1955 patients (34%), 2-vessel disease in 1598 (28%), and 3-vessel disease in 2189 (38%). For all CV outcomes, the risk increased with the severity of CAD (P for trend < .002). A comparison of single-, 2-, and 3-vessel disease showed that, after adjusting for all known covariates, including revascularization and ejection fraction, 2-vessel disease was associated with a 40% increased hazard (P = .008) and 3-vessel disease was associated with an 85% increased hazard (P < .001) for all-cause mortality. The fully adjusted hazard ratios for death and other CV outcomes increased significantly with increasing extent of CAD. CONCLUSIONS: Increasing extent of CAD, as detected by angiography, is a significant and independent risk factor for adverse CV outcomes after MI complicated by HF, LVSD, or both. The observed risk was apparent even after excluding patients who had undergone revascularization.
RCT Entities:
BACKGROUND:Left ventricular systolic dysfunction (LVSD) and heart failure (HF) are powerful predictors of poor outcome after acute myocardial infarction (MI). It is not known, however, whether the extent of coronary artery disease (CAD) independently influences cardiovascular (CV) outcomes in these high-risk patients. METHODS: In the VALIANT, 14703 patients were randomly assigned to receive either captopril monotherapy, valsartan monotherapy, or a valsartan and captopril combination between 0.5 and 10 days after acute MI complicated by LVSD, HF, or both. Cox proportional hazards models were used to evaluate the relation between the extent of CAD (the number of diseased vessels as assessed by angiography) and a range of CV outcomes and all-cause mortality. RESULTS: Coronary angiography data were available on 5742 (40%) of the 14703 randomized patients. Single-vessel disease was reported in 1955 patients (34%), 2-vessel disease in 1598 (28%), and 3-vessel disease in 2189 (38%). For all CV outcomes, the risk increased with the severity of CAD (P for trend < .002). A comparison of single-, 2-, and 3-vessel disease showed that, after adjusting for all known covariates, including revascularization and ejection fraction, 2-vessel disease was associated with a 40% increased hazard (P = .008) and 3-vessel disease was associated with an 85% increased hazard (P < .001) for all-cause mortality. The fully adjusted hazard ratios for death and other CV outcomes increased significantly with increasing extent of CAD. CONCLUSIONS: Increasing extent of CAD, as detected by angiography, is a significant and independent risk factor for adverse CV outcomes after MI complicated by HF, LVSD, or both. The observed risk was apparent even after excluding patients who had undergone revascularization.
Authors: Yariv Gerber; Susan A Weston; Maurice Enriquez-Sarano; Sheila M Manemann; Alanna M Chamberlain; Ruoxiang Jiang; Véronique L Roger Journal: JAMA Cardiol Date: 2016-05-01 Impact factor: 14.676
Authors: Maria Lukács Krogager; Regitze Kuhr Skals; Emil Vincent R Appel; Theresia M Schnurr; Line Engelbrechtsen; Christian Theil Have; Oluf Pedersen; Thomas Engstrøm; Dan M Roden; Gunnar Gislason; Henrik Enghusen Poulsen; Lars Køber; Steen Stender; Torben Hansen; Niels Grarup; Charlotte Andersson; Christian Torp-Pedersen; Peter E Weeke Journal: PLoS One Date: 2018-12-19 Impact factor: 3.240