ArticleJournal of cardiac failure2020
Performance of Electronic Health Record Diagnosis Codes for Ambulatory Heart Failure Encounters.
Article in Journal of cardiac failure, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- A multimodal generative model for structured and unstructured electronic health records.npj health systems · 2026Article
- Measuring Adherence to Multiple Medications Using Guideline-Directed Medical Therapy as a Model.medRxiv : the preprint server for health sciences · 2025Article
- Accuracy of Electronic Health Record-Based Definitions for Patients with Heart Failure.The American journal of medicine · 2025Article
- Article
- Bayesian Model Projecting Cardiovascular Disease Related Mortality Trends in the United States.Journal of the American Heart Association · 2024Article
- Artificial intelligence-assisted automated heart failure detection and classification from electronic health records.ESC heart failure · 2024Article
- Trends in Mortality After Incident Hospitalization for Heart Failure Among Medicare Beneficiaries.JAMA network open · 2024Article
- When the Whole Is the Sum of Its Parts: Validation of the Heart Failure Collaboratory Medication Composite Score in Denmark.Circulation. Heart failure · 2023Article
- Worse In-Hospital Outcomes Among Patients With Heart Failure (HF) and Concomitant Influenza Infection.Cureus · 2022Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThere is interest in leveraging the electronic medical records (EMRs) to improve knowledge and understanding of patients' characteristics and outcomes of patients with ambulatory heart failure (HF). However, the diagnostic performance of International Classification of Diseases (ICD) -10 diagnosis codes from the EMRs for patients with HF and with reduced or preserved ejection fraction (HFrEF or HFpEF) in the ambulatory setting are unknown.
methodsWe examined a cohort of patients aged ≥ 18 with at least 1 outpatient encounter for HF between January 2016 and June 2018 and an echocardiogram conducted within 180 days of the outpatient encounter for HF. We defined HFrEF encounters as those with ICD-10 codes of I50.2x (systolic heart failure); and we defined HFpEF encounters as those with ICD-10 codes of I50.3x (diastolic heart failure). The referent definitions of HFrEF and HFpEF were based on echocardiograms conducted within 180 days of the ambulatory encounter for HF
resultsWe examined 68,952 encounters of 14,796 unique patients with HF. The diagnostic performance parameters for HFrEF (based on ICD-10 I50.2x only) depended on LVEF cutoff, with a sensitivity ranging from 68%-72%, specificity 63%-68%, positive predictive value 47%-63%, and negative predictive value 73%-84%. The diagnostic performance parameters for HFpEF depended on left ventricular ejection fraction cut-off, with sensitivity ranging from 34%-39%, specificity 92%-94%, positive predictive value 86%-93%, and negative predictive value 39%-54%.
conclusionsICD-10 coding abstracted from the EMR for HFrEF vs HFpEF in the ambulatory setting had suboptimal diagnostic performance and, thus, should not be used alone to examine HFrEF and HFpEF in the ambulatory setting.
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