ArticleBMC cardiovascular disorders2018
Development and validation of a heart failure with preserved ejection fraction cohort using electronic medical records.
Article in BMC cardiovascular disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.
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Who cites it
34 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Multi-ancestry genetic architecture of heart failure subtypes.Nature communications · 2026Pooled it
- Systematic review of current natural language processing methods and applications in cardiology.Heart (British Cardiac Society) · 2022Pooled it
- Machine learning-based prediction of mortality and hospitalization in diabetic patients with heart failure with preserved ejection fraction: the GUARDIAN-P risk score.European heart journal. Digital health · 2026Article
- Pulmonary Embolism-Attributable Mortality in Patients With Heart Failure in the United States, 2010 to 2020.JACC. Advances · 2026Article
- Deep Learning Echocardiographic Trajectories of Heart Failure With Preserved Ejection Fraction: A Retrospective Cohort Study.JACC. Advances · 2026Article
- Alcohol Intake and Incidence of Heart Failure and Its Subtypes: VA Million Veteran Program.Nutrients · 2026Article
- Clinical effectiveness of sodium-glucose cotransporter 2 inhibitors in heart failure with preserved ejection fraction: nationwide cohort study (REFINE-HFpEF).BMJ medicine · 2026Article
- Artificial intelligence-assisted automated heart failure detection and classification from electronic health records.ESC heart failure · 2024Article
- Artificial intelligence approaches for phenotyping heart failure in U.S. Veterans Health Administration electronic health record.ESC heart failure · 2024Article
- An evidence-based screening tool for heart failure with preserved ejection fraction: the HFpEF-ABA score.Nature medicine · 2024Article
- Spironolactone Reduces the Risk of Death in Veterans With Heart Failure With Preserved Ejection Fraction.Journal of the American Heart Association · 2024Article
- Identification and correction for collider bias in a genome-wide association study of diabetes-related heart failure.American journal of human genetics · 2024Article
- Houston Methodist cardiovascular learning health system (CVD-LHS) registry: Methods for development and implementation of an automated electronic medical record-based registry using an informatics framework approach.American journal of preventive cardiology · 2024Article
- Development and validation of algorithms to predict left ventricular ejection fraction class from healthcare claims data.ESC heart failure · 2024Article
- Statin Therapy in Heart Failure With Preserved Ejection Fraction: The Need for Randomized Evidence.JACC. Advances · 2024Article
- Initiation of Statins for Primary Prevention in Heart Failure With Preserved Ejection Fraction.JACC. Advances · 2024Article
- Rurality, Cardiovascular Risk Factors, and Early Cardiovascular Disease among Childhood, Adolescent, and Young Adult Cancer Survivors.Research square · 2024Article
- Artificial Intelligence Technologies in Cardiology.Journal of cardiovascular development and disease · 2023Review
- Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study.Scientific reports · 2023Article
- Genetic architecture of heart failure with preserved versus reduced ejection fraction.Nature communications · 2022Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHeart failure (HF) with preserved ejection fraction (HFpEF) comprises nearly half of prevalent HF, yet is challenging to curate in a large database of electronic medical records (EMR) since it requires both accurate HF diagnosis and left ventricular ejection fraction (EF) values to be consistently ≥50%.
methodsWe used the national Veterans Affairs EMR to curate a cohort of HFpEF patients from 2002 to 2014. EF values were extracted from clinical documents utilizing natural language processing and an iterative approach was used to refine the algorithm for verification of clinical HFpEF. The final algorithm utilized the following inclusion criteria: any International Classification of Diseases-9 (ICD-9) code of HF (428.xx); all recorded EF ≥50%; and either B-type natriuretic peptide (BNP) or aminoterminal pro-BNP (NT-proBNP) values recorded OR diuretic use within one month of diagnosis of HF. Validation of the algorithm was performed by 3 independent reviewers doing manual chart review of 100 HFpEF cases and 100 controls.
resultsWe established a HFpEF cohort of 80,248 patients (out of a total 1,155,376 patients with the ICD-9 diagnosis of HF). Mean age was 72 years; 96% were males and 12% were African-Americans. Validation analysis of the HFpEF algorithm had a sensitivity of 88%, specificity of 96%, positive predictive value of 96%, and a negative predictive value of 87% to identify HFpEF cases.
conclusionWe developed a sensitive, highly specific algorithm for detecting HFpEF in a large national database. This approach may be applicable to other large EMR databases to identify HFpEF patients.
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