Validation of Cardiovascular End Points Ascertainment Leveraging Multisource Electronic Health Records Harmonized

Guillaume Marquis-Gravel1, Bradley G Hammill1, Hillary Mulder1

  • 1Duke Clinical Research Institute, Durham, NC (G.M.-G., B.G.H., H.M., M.T.R., H.R.R., L.M.W., A.S., D.F.H., F.W.P., A.F.H., W.S.J.).

Insights

The ADAPTABLE trial found electronic health record data reliably captured myocardial infarction hospitalizations. However, accuracy for stroke and bleeding events varied, especially when not listed as primary diagnoses.

Area of Science:

  • Clinical Trials
  • Cardiovascular Research
  • Health Informatics

Background:

  • The ADAPTABLE trial pioneered using electronic health record (EHR) data within the National Patient-Centered Clinical Research Network (PCORnet) for primary endpoint ascertainment.
  • This study aimed to validate nonfatal endpoints captured via PCORnet data against traditional blinded adjudication.

Purpose of the Study:

  • To assess the validity of nonfatal cardiovascular endpoints (myocardial infarction, stroke, major bleeding) captured through PCORnet data queries.
  • To compare the accuracy of EHR-derived endpoints against a gold standard of expert adjudication.

Main Methods:

  • 15,076 participants with atherosclerotic cardiovascular disease were randomized to 81 mg or 325 mg of aspirin daily.
  • Nonfatal events were captured using algorithms applied to PCORnet EHR data; a subset underwent independent expert adjudication.
  • Positive predictive values (PPVs) were calculated for myocardial infarction, stroke, and major bleeding events, differentiating between primary and nonprimary diagnoses.

Main Results:

  • Overall PPVs were 90% for myocardial infarction, 72% for stroke, and 93% for major bleeding.
  • When considering only primary diagnoses, PPVs increased to 93% for myocardial infarction, 91% for stroke, and 97% for major bleeding.
  • PPVs dropped significantly for nonprimary diagnoses (82% for MI, 36% for stroke, 71% for bleeding), with high contradiction rates for stroke and bleeding.

Conclusions:

  • EHR data from PCORnet is valid for identifying myocardial infarction hospitalizations in the ADAPTABLE trial.
  • Ascertainment of stroke and major bleeding events using EHR data requires careful consideration of diagnostic hierarchy, as accuracy decreases when events are not primary diagnoses.
Abstract

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