2001
DOI: 10.1016/s0735-1097(01)01667-9
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Utility of current risk stratification tests for predicting major arrhythmic events after myocardial infarction

Abstract: Sensitivities and specificities for the five tests were relatively similar. No one test was satisfactory alone for predicting risk. Combinations of tests in stages allowed us to stratify 91.8% of patients as either high-risk or low-risk. These data suggest that a large prospective study to develop a robust prediction model is feasible and desirable.

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Cited by 164 publications
(103 citation statements)
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“…This would be analogous to the use of multiple positive results to enhance risk stratification for the identification of high-risk individuals. 34,35 …”
Section: Realities Of Risk Assessmentmentioning
confidence: 99%
“…This would be analogous to the use of multiple positive results to enhance risk stratification for the identification of high-risk individuals. 34,35 …”
Section: Realities Of Risk Assessmentmentioning
confidence: 99%
“…The utility of combining tests or performing risk stratification in a sequential manner has been demonstrated , 22,23 Based on the findings of the Risk Estimation Following Infarction, Noninvasive Evaluation (REFINE) study, 24 the REFINE-ICD trial is evaluating the efficacy of the ICD to reduce mortality in postinfarction patients with ejection fraction of 36% to 49% and abnormal T wave alternans and heart rate turbulence. The ideal combination of parameters, as well as time(s) for evaluation, need to be determined.…”
Section: Integrating Current Testsmentioning
confidence: 99%
“…Since the majority of SCDs occurs in the general population, the primary prevention goal is the identification of high-risk subsets. Numerous invasive and noninvasive techniques have been developed over the years to identify patients at risk for SCD [61][62][63]. Currently, assessment of left ventricular EF is commonly used to identify highrisk patients and to guide primary prevention of SCD [49].…”
Section: Scd Risk Predictorsmentioning
confidence: 99%