BACKGROUND: Previous studies documenting underutilization of angiotensin-converting enzyme inhibitors (ACEIs) in acute myocardial infarction (AMI) have been limited to Medicare populations. HYPOTHESIS: This study examines ACEI prescription rates and predictors in a community sample of hospitalized patients with AMI. METHODS: The charts of 1163 community patients with AMI, prospectively identified at admission between January 1, 1994, and April 30, 1995, were reviewed. RESULTS: Only 64 of 158 (40%) patients considered ideal candidates for ACEI prescription were discharged with a prescription for an ACEI. In a multivariate logistic regression model, prior ACEI utilization [adjusted odds ration (OR) = 3.26; 95% confidence interval (CI) = 2.05-5.20], presence of congestive heart failure (OR = 2.33; CI = 1.50-3.61) and black race (OR = 2.20; CI = 1.34-3.64) were identified as positive predictors of ACEI prescription. Conversely, lack of left ventricular ejection fraction (LVEF) measurement (OR = 0.46; CI = 0.28-0.75), LVEF > 40 ( OR = 0.27; CI = 0.18-0.40), and acute renal failure (OR = 0.08; CI = 0.01-0.44) were negative predictors. Women were also less likely to be discharged with an ACEI prescription (OR = 0.71; CI = 0.48-1.05). Furthermore, women were significantly less likely to have LVEF measured prior to discharge than were males (77 vs. 85%, p = 0.001). CONCLUSION: This study underscores the need for improvement in the utilization of ACEI in eligible patients with AMI. It also identifies opportunities for improvement in prescription rates, especially in women.
BACKGROUND: Previous studies documenting underutilization of angiotensin-converting enzyme inhibitors (ACEIs) in acute myocardial infarction (AMI) have been limited to Medicare populations. HYPOTHESIS: This study examines ACEI prescription rates and predictors in a community sample of hospitalized patients with AMI. METHODS: The charts of 1163 community patients with AMI, prospectively identified at admission between January 1, 1994, and April 30, 1995, were reviewed. RESULTS: Only 64 of 158 (40%) patients considered ideal candidates for ACEI prescription were discharged with a prescription for an ACEI. In a multivariate logistic regression model, prior ACEI utilization [adjusted odds ration (OR) = 3.26; 95% confidence interval (CI) = 2.05-5.20], presence of congestive heart failure (OR = 2.33; CI = 1.50-3.61) and black race (OR = 2.20; CI = 1.34-3.64) were identified as positive predictors of ACEI prescription. Conversely, lack of left ventricular ejection fraction (LVEF) measurement (OR = 0.46; CI = 0.28-0.75), LVEF > 40 ( OR = 0.27; CI = 0.18-0.40), and acute renal failure (OR = 0.08; CI = 0.01-0.44) were negative predictors. Women were also less likely to be discharged with an ACEI prescription (OR = 0.71; CI = 0.48-1.05). Furthermore, women were significantly less likely to have LVEF measured prior to discharge than were males (77 vs. 85%, p = 0.001). CONCLUSION: This study underscores the need for improvement in the utilization of ACEI in eligible patients with AMI. It also identifies opportunities for improvement in prescription rates, especially in women.
Authors: Adesuwa B Olomu; Ralph E Watson; Azfar-e-Alam Siddiqi; Francesca C Dwamena; Barbara A McIntosh; Peter Vasilenko; Joel Kupersmith; Margaret M Holmes-Rovner Journal: J Gen Intern Med Date: 2004-10 Impact factor: 5.128
Authors: Margaret Holmes-Rovner; Manfred Stommel; William D Corser; Adesuwa Olomu; Jodi Summers Holtrop; Azfar Siddiqi; Susan L Dunn Journal: J Gen Intern Med Date: 2008-07-10 Impact factor: 5.128
Authors: Manfred Stommel; Ade Olomu; Margaret Holmes-Rovner; William Corser; Joseph C Gardiner Journal: BMC Health Serv Res Date: 2006-10-24 Impact factor: 2.655