BACKGROUND: The benefits of statins for the secondary prevention of coronary heart disease are well established. Previous research indicates that patients at the greatest risk of cardiovascular events are the least likely to receive statins. We explored the potential reduction in mortality at the population level that could result from improving statin prescribing among patients least likely to be prescribed a statin after acute myocardial infarction (AMI). METHODS: Simulation analysis of detailed clinical data for a population-based sample of 7285 AMI survivors discharged from 102 hospitals between April 1, 1999, and March 31, 2001 in Ontario, Canada, was done. Using estimates obtained from randomized controlled trials, we estimated the reduction in 3-year all-cause mortality associated with improved statin prescribing at hospital discharge. RESULTS: Overall, 35.6% of patients received a statin prescription at hospital discharge. We estimate that increasing statin prescribing among patients least likely to receive them (ie, the lowest quintile of propensity to receive a prescription at discharge) from the current rate of 7.8% to the rate among all patients (35.6%) could decrease AMI mortality by 83 deaths in Ontario per year (2.1% of all post-AMI deaths within 3 years of discharge). Increasing statin prescribing to 70% among all patients with AMI could avert 312 deaths per year in Ontario. Factoring in low rates of adherence to statin therapy would reduce these estimates to 33 and 126, respectively. CONCLUSIONS: Modest increases in statin prescribing for patients least likely to receive one could decrease post-AMI mortality at the population level.
BACKGROUND: The benefits of statins for the secondary prevention of coronary heart disease are well established. Previous research indicates that patients at the greatest risk of cardiovascular events are the least likely to receive statins. We explored the potential reduction in mortality at the population level that could result from improving statin prescribing among patients least likely to be prescribed a statin after acute myocardial infarction (AMI). METHODS: Simulation analysis of detailed clinical data for a population-based sample of 7285 AMI survivors discharged from 102 hospitals between April 1, 1999, and March 31, 2001 in Ontario, Canada, was done. Using estimates obtained from randomized controlled trials, we estimated the reduction in 3-year all-cause mortality associated with improved statin prescribing at hospital discharge. RESULTS: Overall, 35.6% of patients received a statin prescription at hospital discharge. We estimate that increasing statin prescribing among patients least likely to receive them (ie, the lowest quintile of propensity to receive a prescription at discharge) from the current rate of 7.8% to the rate among all patients (35.6%) could decrease AMI mortality by 83 deaths in Ontario per year (2.1% of all post-AMI deaths within 3 years of discharge). Increasing statin prescribing to 70% among all patients with AMI could avert 312 deaths per year in Ontario. Factoring in low rates of adherence to statin therapy would reduce these estimates to 33 and 126, respectively. CONCLUSIONS: Modest increases in statin prescribing for patients least likely to receive one could decrease post-AMI mortality at the population level.
Authors: Jerome L Fleg; Daniel E Forman; Kathy Berra; Vera Bittner; James A Blumenthal; Michael A Chen; Susan Cheng; Dalane W Kitzman; Mathew S Maurer; Michael W Rich; Win-Kuang Shen; Mark A Williams; Susan J Zieman Journal: Circulation Date: 2013-10-28 Impact factor: 29.690
Authors: Elizabeth A Chrischilles; Kathleen M Schneider; Mary C Schroeder; Elena Letuchy; Robert B Wallace; Jennifer G Robinson; John M Brooks Journal: J Am Geriatr Soc Date: 2016-03-01 Impact factor: 5.562
Authors: Daniel T Grima; Lawrence A Leiter; Shaun G Goodman; Cheryl L Attard; Chi-Ming Chow; Anatoly Langer Journal: Can J Cardiol Date: 2008-05 Impact factor: 5.223
Authors: David A Asch; Andrea B Troxel; Walter F Stewart; Thomas D Sequist; James B Jones; AnneMarie G Hirsch; Karen Hoffer; Jingsan Zhu; Wenli Wang; Amanda Hodlofski; Antonette B Frasch; Mark G Weiner; Darra D Finnerty; Meredith B Rosenthal; Kelsey Gangemi; Kevin G Volpp Journal: JAMA Date: 2015-11-10 Impact factor: 56.272