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3.
Am Heart J ; 169(1): 132-41.e2, 2015 Jan.
Article in English | MEDLINE | ID: mdl-25497258

ABSTRACT

BACKGROUND: Quality improvement is central to improving the care of patients with cardiovascular disease; however, the optimum type of data feedback to support such efforts is unknown. METHODS: Over 26 months, 149 eligible Acute Coronary Treatment and Intervention Outcomes Network Registry-Get With The Guidelines hospitals were randomized to receive either standard (n = 76 control) or targeted (n = 73 intervention) performance feedback reports for acute myocardial infarction patient care. Each report summarized performance on identified metrics (providing hospitals with detailed data on their 3 lowest-performing quality metrics, relative to their peers). Intervention sites received 5 targeted feedback reports. Overall composite performance was compared between cohorts at end of study and as a change from baseline. RESULTS: Intervention (n = 60) and control (n = 64) hospitals that completed the study had similar baseline performance (median score 83.7% vs 84.2%). Over 26 months of follow-up, the change in overall composite score across hospitals was neutral (median 0.1% [interquartile range {IQR} -2.4% to 3.3%]). There was no difference in observed improvement in either the intervention (median -0.2% [IQR-2.6% to 3.3%]) or control (median 0.1% [IQR -2.2% to 3.4%]) hospitals. CONCLUSIONS: We were unable to demonstrate that targeted performance feedback reports lead to more rapid care improvements than standard reports. Future directions should explore the relationship between hospital self-selection of targeted metrics and the identification and promulgation of less common metrics--particularly those that reflect processes of care.


Subject(s)
Guideline Adherence , Myocardial Infarction/therapy , Outcome and Process Assessment, Health Care , Program Evaluation , Quality Improvement , Aged , Female , Hospitals/standards , Humans , Male , Middle Aged , Registries
4.
Coron Artery Dis ; 23(1): 22-30, 2012 Jan.
Article in English | MEDLINE | ID: mdl-22113063

ABSTRACT

OBJECTIVES: Liver enzyme elevations occur with ST-segment elevation myocardial infarction (STEMI); however, their significance in the modern era is not well-defined. The incidence of liver enzyme elevations in STEMI, temporal trends, correlations with creatine kinase-MB (CK-MB), and associations with clinical outcomes were evaluated. METHODS: The Complement Inhibition in Myocardial Infarction Treated with Angioplasty and Complement Inhibition in Myocardial Infarction Treated with Thrombolytics trials evaluated 1903 patients with STEMI. A core lab analyzed liver enzymes at baseline, days 1, 6, and 14, and CK-MB measured sequentially over 72 h. The GUSTO model for 30-day mortality was used to predict clinical endpoints. RESULTS: A total of 1783 patients were included in the analysis. Aspartate transaminase (AST) was elevated above the upper limit of normal in 85.6% and alanine transaminase (ALT) was elevated in 48.2% of patients at baseline or day 1. CK-MB area under the curve correlated with maximum AST (r=0.727) and maximum ALT (r=0.456). Both AST and ALT elevations were independent predictors of worse outcomes in multivariable adjusted analysis, even after adjustment for CK-MB. Hazard ratios and 95% confidence intervals of AST elevation were 1.12 (1.05-1.19) for all-cause mortality, and 1.08 (1.02-1.13) for the composite endpoint of death, congestive heart failure, shock, or stroke. Hazard ratios and 95% confidence intervals of ALT elevation were 1.15 (1.04-1.27) for mortality and 1.47 (1.10-1.98) for the composite endpoint. CONCLUSION: AST and ALT elevations are common in STEMI. Both markers are correlated with CK-MB area under the curve, but independently associated with worse mortality and clinical outcomes.


Subject(s)
Alanine Transaminase/blood , Aspartate Aminotransferases/blood , Liver/enzymology , Myocardial Infarction/enzymology , Aged , Biomarkers/blood , Creatine Kinase, MB Form/blood , Female , Humans , Male , Middle Aged , Multivariate Analysis , Myocardial Infarction/complications , Myocardial Infarction/mortality , Myocardial Infarction/therapy , Predictive Value of Tests , Prognosis , Proportional Hazards Models , Prospective Studies , Risk Assessment , Risk Factors , Time Factors , Up-Regulation
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