Abstract P2090: Comparison of Medicare Claims Recorded and Surveillance Identified Myocardial Infarction in the Strong Heart Study

Introduction: The Strong Heart Study (SHS) is a cohort study of cardiovascular disease (CVD) in American Indians. Center for Medicare and Medicaid Service (CMS) data may improve CVD outcome capture. Hypothesis: Participants with myocardial infarction (MI) events captured in CMS will align with those identified in SHS morbidity and mortality (M&M) surveillance. Methods: CMS data were available from 2010-2021 for 2,144 SHS participants. A CMS-identified MI event was defined as meeting the Chronic Conditions Data Warehouse (CCW) claims criteria (at least one inpatient claim with an MI ICD-9 or ICD-10 diagnosis code in first or second position) during this timeframe. SHS MI and coronary heart disease (CHD) events were identified by medical chart review, adjudicated by physicians, and classified as definite, possible, or probable (MI only). We defined SHS-identified MI as having a fatal or non-fatal definite MI event during 2010-2021. A summary table compared participants with SHS-identified and CMS-identified MI. Cohen’s kappa coefficient, sensitivity, specificity, and positive predictive value (calculated using SHS as the gold standard) assessed diagnosis agreement. Results: We identified 206 participants with SHS-identified MI and 198 participants with CMS-identified MI. There was moderate agreement between SHS-identified and CMS-identified MI (kappa=0.601, 95% CI: 0.542, 0.660). About 63% of those with SHS-identified MI had a CMS-identified MI and 65% of those with CMS-identified MI had an SHS-identified MI. Among the 69 participants with only an SHS-identified MI, 40.3% had an outpatient MI code or an inpatient MI code in the third position or lower in CMS data. SHS M&M detected possible MI, probable MI, or any type of CHD event, excluding definite MI, in 39.1% of the 77 participants with only a CMS-identified MI. Conclusions: Moderate agreement was observed between SHS definite MI and CMS MI events. CMS data may complement the identification of MI events in M&M surveillance of prospective cohort studies such as the SHS.

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Journal
Circulation
Published
2025-03-11
DOI
https://doi.org/10.1161/cir.151.suppl_1.p2090
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
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article

Abstract P2090: Comparison of Medicare Claims Recorded and Surveillance Identified Myocardial Infarction in the Strong Heart Study

Amanda M. Fretts, Jean Leidner, Tauqeer Ali, Jason G. Umans et al.
Circulation
Cardiovascular Health and Risk Factors
article

Abstract P2090: Comparison of Medicare Claims Recorded and Surveillance Identified Myocardial Infarction in the Strong Heart Study

Amanda M. Fretts, Jean Leidner, Tauqeer Ali, Jason G. Umans, Jessica A. Reese, Ying Zhang, Shelley Cole, Richard B. Devereux, Heather Willmott
article en

Abstract

Introduction: The Strong Heart Study (SHS) is a cohort study of cardiovascular disease (CVD) in American Indians. Center for Medicare and Medicaid Service (CMS) data may improve CVD outcome capture. Hypothesis: Participants with myocardial infarction (MI) events captured in CMS will align with those identified in SHS morbidity and mortality (M&M) surveillance. Methods: CMS data were available from 2010-2021 for 2,144 SHS participants. A CMS-identified MI event was defined as meeting the Chronic Conditions Data Warehouse (CCW) claims criteria (at least one inpatient claim with an MI ICD-9 or ICD-10 diagnosis code in first or second position) during this timeframe. SHS MI and coronary heart disease (CHD) events were identified by medical chart review, adjudicated by physicians, and classified as definite, possible, or probable (MI only). We defined SHS-identified MI as having a fatal or non-fatal definite MI event during 2010-2021. A summary table compared participants with SHS-identified and CMS-identified MI. Cohen’s kappa coefficient, sensitivity, specificity, and positive predictive value (calculated using SHS as the gold standard) assessed diagnosis agreement. Results: We identified 206 participants with SHS-identified MI and 198 participants with CMS-identified MI. There was moderate agreement between SHS-identified and CMS-identified MI (kappa=0.601, 95% CI: 0.542, 0.660). About 63% of those with SHS-identified MI had a CMS-identified MI and 65% of those with CMS-identified MI had an SHS-identified MI. Among the 69 participants with only an SHS-identified MI, 40.3% had an outpatient MI code or an inpatient MI code in the third position or lower in CMS data. SHS M&M detected possible MI, probable MI, or any type of CHD event, excluding definite MI, in 39.1% of the 77 participants with only a CMS-identified MI. Conclusions: Moderate agreement was observed between SHS definite MI and CMS MI events. CMS data may complement the identification of MI events in M&M surveillance of prospective cohort studies such as the SHS.

CirculationVol. 151(Suppl_1)
Texas Biomedical Research Institute (US), University of Central Oklahoma (US), University of Washington (US), Cornell University (US), Oklahoma City University (US), Weill Cornell Medicine (US), MedStar Health (US), University of Oklahoma (US)
Openalex Percentile: Top 87%
Cardiovascular Health and Risk Factors
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