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Updated: Jun 20, 2026

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
18:11

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

Published on: December 28, 2012

An algorithm to identify incident myocardial infarction using Medicaid data.

Neesha N Choma1, Marie R Griffin, Robert L Huang

  • 1Veterans Administration, Tennessee Valley Healthcare System, Tennessee Valley Geriatric Research Education Clinical Center (GRECC), Nashville, TN 37212, USA.

Pharmacoepidemiology and Drug Safety
|September 1, 2009
PubMed
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This study validates using administrative data to identify acute myocardial infarctions (AMIs). The findings suggest that non-steroidal anti-inflammatory drug (NSAID) use is unlikely to confound cardiovascular outcomes.

Area of Science:

  • Cardiology
  • Pharmacology
  • Health Informatics

Background:

  • Administrative data are increasingly used for health research, but require validation for accuracy.
  • Identifying acute myocardial infarctions (AMIs) in administrative data is crucial for studying non-steroidal anti-inflammatory drug (NSAID) effects on cardiovascular events.
  • Confounding factors, such as smoking and aspirin use, must be assessed in relation to NSAID exposure.

Purpose of the Study:

  • To determine the accuracy of using administrative data (ICD-9 code 410.x) for identifying incident acute myocardial infarctions (AMIs).
  • To assess whether key confounders, specifically smoking and aspirin use, differ between NSAID users and non-users among patients hospitalized for AMI.

Main Methods:

  • A cohort of patients aged 50-84 with a first AMI hospitalization (ICD-9 code 410.x, >2 day stay) was identified from Tennessee Medicaid files (1999-2004).

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Ultrasonic Assessment of Myocardial Microstructure
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Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

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Last Updated: Jun 20, 2026

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
18:11

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

Published on: December 28, 2012

Ultrasonic Assessment of Myocardial Microstructure
10:53

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

  • Eligible patients had continuous enrollment and no prior AMI, stroke, or serious non-cardiovascular illness.
  • A systematic sample of 350 patients with potential first AMI underwent chart review to classify events and calculate the positive predictive value (PPV) for AMI.

    • Main Results:

    • The positive predictive value (PPV) for any definite or probable AMI was 92.8%.
    • The PPV for an incident AMI was 72.7%.
    • Prevalence of current smoking and aspirin use was similar between NSAID users and non-users (p=0.35 and p=0.90, respectively).

    Conclusions:

    • ICD-9 code 410.x demonstrates high predictive value for identifying AMI in administrative data.
    • Similar rates of smoking and aspirin use in NSAID-exposed and unexposed groups suggest these factors are unlikely to confound the association between NSAIDs and cardiovascular outcomes.