Related Experiment Video
Updated: Oct 10, 2025

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
Published on: September 26, 2018
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.
Background:
The ADAPTABLE trial (Aspirin Dosing: A Patient-Centric Trial Assessing Benefits and Long-Term Effectiveness) is the first randomized trial conducted within the National Patient-Centered Clinical Research Network to use the electronic health record data formatted into a common data model as the primary source of end point ascertainment, without confirmation by standard adjudication. The objective of this prespecified study is to assess the validity of nonfatal end points captured from the National Patient-Centered Clinical Research Network, using traditional blinded adjudication as the gold standard.
Methods:
A total of 15 076 participants with established atherosclerotic cardiovascular disease were randomized to two doses of aspirin (81 mg and 325 mg once daily). Nonfatal end points (hospitalization for nonfatal myocardial infarction, nonfatal stroke, and major bleeding requiring transfusion of blood products) were captured with the use of programming algorithms applied to National Patient-Centered Clinical Research Network data. A random subset of end points was independently reviewed by a disease-specific expert adjudicator. The positive predictive value of the programming algorithms were calculated separately for end points listed as primary and as nonprimary diagnoses.
Results:
A total of 225 end points were identified (91 myocardial infarction events, 89 stroke events, and 45 bleeding events), including 142 (63%) that were listed as primary diagnoses. Complete source documents were missing for 14% of events. The positive predictive value were 90%, 72%, and 93% for hospitalizations for myocardial infarction, stroke, and major bleeding, respectively, as compared to adjudication. When only primary diagnoses were considered, positive predictive value were 93%, 91%, and 97%, respectively. When only nonprimary diagnoses were considered, positive predictive value were 82%, 36%, and 71%.
Conclusions:
As compared with blinded adjudication, clinical end point ascertainment from queries of the National Patient-Centered Clinical Research Network distributed harmonized data was valid to identify hospitalizations for myocardial infarction in ADAPTABLE. The proportion of contradicted events was high for hospitalizations for bleeding and strokes when nonprimary diagnoses were analyzed, but not when only primary diagnoses were considered.
Related Concept Videos
Methods of Documentation VII: EMR
Assessment of the Cardiovascular System I: Subjective Data
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
Errors occurring during blood pressure monitoring
Several factors...
Pulse rhythm
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
Holter Monitor: 24-Hour Monitoring
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...

