Key result
An ICD-9-CM-based algorithm for identifying acute myocardial infarction in the FDA Mini-Sentinel program yielded an overall positive predictive value of 86.0% (95% CI 79.2%-91.2%).
Why the study?
Does an ICD-9-CM-based algorithm accurately identify acute myocardial infarction cases in the Mini-Sentinel Distributed Database?
Population
153 potential cases of acute myocardial infarction identified using an ICD-9-CM-based algorithm in 2009 from…
Comparison
ICD-9-CM-based algorithm for acute myocardial… vs Cardiologist review of hospital records based on…
Design
Other
Authors
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Supports reliable AMI identification in Mini-Sentinel surveillance; confirms algorithm validity for pharmacoepidemiologic research.
Observational (n=143)
Yes
Does an ICD-9-CM-based algorithm accurately identify acute myocardial infarction cases in the Mini-Sentinel Distributed Database?
An ICD-9-CM-based algorithm for AMI demonstrated an 86% positive predictive value, supporting its reliability for use in FDA Mini-Sentinel safety surveillance.
Cutrona et al. (2012) conducted an observational in Acute myocardial infarction (n=143). ICD-9-CM-based algorithm vs. Cardiologist review was evaluated on Positive predictive value (PPV) (95% CI 79.2%-91.2%). An ICD-9-CM-based algorithm for identifying acute myocardial infarction in the FDA Mini-Sentinel program yielded an overall positive predictive value of 86.0% (95% CI 79.2%-91.2%).
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