Literature DB >> 2014037

Ruling out acute myocardial infarction. A prospective multicenter validation of a 12-hour strategy for patients at low risk.

T H Lee1, G Juarez, E F Cook, M C Weisberg, G W Rouan, D A Brand, L Goldman.   

Abstract

BACKGROUND: Although previous investigations have suggested that 24 hours is required to exclude acute myocardial infarction in patients who are admitted to a coronary care unit for the evaluation of acute chest pain, we hypothesized that a 12-hour period might be adequate for patients with a low probability of infarction at the time of admission.
METHODS: Using a Bayesian model, we developed a strategy to identify candidates for a shorter period of observation from an analysis of a derivation set of 976 patients with acute chest pain who were admitted to three teaching and four community hospitals. In the derivation set, patients whose clinical characteristics in the emergency room predicted a low (less than or equal to 7 percent) probability of myocardial infarction had only a 0.4 percent risk of infarction if they had neither abnormal levels of cardiac enzymes nor recurrent ischemic pain during the first 12 hours of hospitalization. In an independent testing set of 2684 patients from the seven hospitals, 957 admitted patients (36 percent) were classified as candidates for this 12-hour period of observation according to a previously published multivariate algorithm. Few of these patients were actually transferred from a monitored setting at 12 hours.
RESULTS: Of the 771 candidates for a 12-hour period of observation who did not have enzyme abnormalities or recurrent pain during the first 12 hours, 4 (0.5 percent) were subsequently found to have acute myocardial infarction, and only 3 (0.4 percent) died after primary cardiac arrests, all of which occurred three to five days after admission. Rates of other major cardiovascular complications were low in the patients who might have been transferred from the coronary care unit after 12 hours with this strategy. In patients with a higher initial risk of infarction, the standard strategy of 24-hour observation identified all but 11 of 739 acute myocardial infarctions (1 percent).
CONCLUSIONS: Emergency room clinical data can be used to identify a large subgroup of patients for whom a 12-hour period of observation is normally sufficient to exclude acute myocardial infarction. Patient-specific evaluation and treatment can then proceed without the restrictions imposed by "rule-out" protocols for myocardial infarction.

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Year:  1991        PMID: 2014037     DOI: 10.1056/NEJM199105023241803

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


  29 in total

1.  Identification of patients with evolving coronary syndromes by using statistical models with data from the time of presentation.

Authors:  R L Kennedy; R F Harrison
Journal:  Heart       Date:  2005-06-06       Impact factor: 5.994

2.  Predictive value of prior Rose angina for myocardial infarction confirmation after emergency admissions.

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3.  Safe discharge from the cardiac emergency room with a rapid rule-out myocardial infarction protocol using serial CK-MB(mass).

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4.  The relative utility of cardiac troponin I, creatine kinase-MBmass, and myosin light chain-1 in the long-term risk stratification of patients with chest pain.

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5.  Emergency Department Observation Units: Has the Time Come?

Authors: 
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6.  Correlates of major complications and mortality in patients presenting to the emergency department with chest pain and more than bibasilar rales.

Authors:  M H Chin; E F Cook; T H Lee; L Goldman
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Review 8.  Critical pathways for patients with acute chest pain at low risk.

Authors:  Kirsten E Fleischmann; Lee Goldman; Paula A Johnson; Richard A Krasuski; J Stephen Bohan; L Howard Hartley; Thomas H Lee
Journal:  J Thromb Thrombolysis       Date:  2002-04       Impact factor: 2.300

9.  The impact of membership in a health maintenance organization on hospital admission rates for acute chest pain.

Authors:  S D Pearson; T H Lee; E Lindsey; T Hawkins; E F Cook; L Goldman
Journal:  Health Serv Res       Date:  1994-04       Impact factor: 3.402

10.  Comparison of linear-stochastic and nonlinear-deterministic algorithms in the analysis of 15-minute clinical ECGs to predict risk of arrhythmic death.

Authors:  James E Skinner; Michael Meyer; Brian A Nester; Una Geary; Pamela Taggart; Antoinette Mangione; George Ramalanjaona; Carol Terregino; William C Dalsey
Journal:  Ther Clin Risk Manag       Date:  2009-08-20       Impact factor: 2.423

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