Why the study?
Limited data were available to show how recent clinical trials and clinical guidelines impacted treatment of myocardial infarction from 1990 through 1999 in the U.S.
Does an EHR-embedded clinical decision support tool accurately predict acute coronary syndrome compared to human screening in adult emergency department patients?
Cohort (n=32,346)
Does an EHR-embedded clinical decision support tool accurately predict acute coronary syndrome compared to human screening in adult emergency department patients?
Absolute Event Rate: 81.7% vs 80.2%
An EHR-embedded clinical decision support model using basic arrival data matches human performance in predicting acute coronary syndrome in the emergency department, suggesting a potential role to safely upskill non-clinical registration staff.
OBJECTIVES: We sought to determine trends in the treatment of myocardial infarction from 1990 through 1999 in the U.S. and to relate these trends to current guidelines. BACKGROUND: Limited data are available to show how recent clinical trials and clinical guidelines have impacted treatment of myocardial infarction. METHODS: Temporal trends in myocardial infarction treatment and outcome were assessed by using data from 1,514,292 patients in the National Registry of Myocardial Infarction (NRMI) 1, 2 and 3 from 1990 through 1999. RESULTS: During this interval, the use of intravenous thrombolytic therapy declined from 34.3% to 20.8%, but the use of primary angioplasty increased from 2.4% to 7.3% (both p = 0.0001). The median "door-to-drug" time among thrombolytic therapy recipients fell from 61.8 to 37.8 min (p = 0.0001), primarily owing to shorter "door-to-data" and "data-to-decision" times. The prevalence of non-Q wave infarctions increased from 45% in 1994 to 63% in 1999 (p = 0.0001). From 1994 through 1999, there was increased usage of beta-blockers, aspirin and angiotensin-converting inhibitors, both during the first 24 h after admission and on hospital discharge (all p = 0.0001). Between 1990 and 1999, the median duration of hospital stay fell from 8.3 to 4.3 days, and hospital mortality declined from 11.2% to 9.4% (both p = 0.0001). CONCLUSIONS: The NRMI data from 1990 through 1999 demonstrate that the recommendations of recent clinical trials and published guidelines are being implemented, resulting in more rapid administration of intravenous thrombolytic therapy, increasing use of primary angioplasty and more frequent use of adjunctive therapies known to reduce mortality, and may be contributing to the higher prevalence of non-Q wave infarctions, shorter hospital stays and lower hospital mortality.
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Rogers et al. (2000) conducted a cohort in Acute Coronary Syndrome (n=32,346). AI predictive model for acute coronary syndrome screening vs. Human screening was evaluated on Sensitivity for predicting acute coronary syndrome (95% CI 77.1-85.8).
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