ArticleJournal of the American Medical Informatics Association : JAMIA
Database queries for hospitalizations for acute congestive heart failure: flexible methods and validation based on set theory.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 43 citations in OpenAlex.
- Challenges in Identifying Heart Failure Diagnoses from the Electronic Health Record.Journal of cardiac failure - intersections · 2026Article
- Accuracy of Electronic Health Record-Based Definitions for Patients with Heart Failure.The American journal of medicine · 2025Article
- A probabilistic approach for building disease phenotypes across electronic health records.BioData mining · 2025Article
- Characterizing apparent treatment resistant hypertension in the United States: insights from the All of Us Research Program.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Do electronic health record systems "dumb down" clinicians?Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Article
- Applying computable phenotypes within a common data model to identify heart failure patients for an implantable cardiac device registry.International journal of cardiology. Heart & vasculature · 2022Article
- Incidence and Importance of Calcium Deposition in Kidney Biopsy Specimens.American journal of nephrology · 2022Article
- The Association Between Hospital End-of-Life Care Quality and the Care Received Among Patients With Heart Failure.Journal of pain and symptom management · 2021Article
- Reply to Rousseau and Tierney.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Letter to the editor in response to "Risk prediction of delirium in hospitalized patients using machine learning: an implementation and prospective evaluation study".Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Kidney Histopathology and Prediction of Kidney Failure: A Retrospective Cohort Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2020Article
- Comprehensive review of ICD-9 code accuracies to measure multimorbidity in administrative data.BMC health services research · 2020Review
- Derivation and validation of a computable phenotype for acute decompensated heart failure in hospitalized patients.BMC medical informatics and decision making · 2020Article
- Risk of stroke after emergency department visits for neurologic complaints.Neurology. Clinical practice · 2020Article
- The Association Between HIV Infection and the Use of Palliative Care in Patients Hospitalized With Heart Failure.The American journal of hospice & palliative care · 2019Article
- Identifying heart failure using EMR-based algorithms.International journal of medical informatics · 2018Article
- Underestimated prevalence of heart failure in hospital inpatients: a comparison of ICD codes and discharge letter information.Clinical research in cardiology : official journal of the German Cardiac Society · 2018Article
- Validation of the ICD-9 Diagnostic Code for Palliative Care in Patients Hospitalized With Heart Failure Within the Veterans Health Administration.The American journal of hospice & palliative care · 2018Article
- Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.Applied clinical informatics · 2017Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
BACKGROUND AND
objectiveElectronic health records databases are increasingly used for identifying cohort populations, covariates, or outcomes, but discerning such clinical 'phenotypes' accurately is an ongoing challenge. We developed a flexible method using overlapping (Venn diagram) queries. Here we describe this approach to find patients hospitalized with acute congestive heart failure (CHF), a sampling strategy for one-by-one 'gold standard' chart review, and calculation of positive predictive value (PPV) and sensitivities, with SEs, across different definitions. MATERIALS AND
methodsWe used retrospective queries of hospitalizations (2002-2011) in the Indiana Network for Patient Care with any CHF ICD-9 diagnoses, a primary diagnosis, an echocardiogram performed, a B-natriuretic peptide (BNP) drawn, or BNP >500 pg/mL. We used a hybrid between proportional sampling by Venn zone and over-sampling non-overlapping zones. The acute CHF (presence/absence) outcome was based on expert chart review using a priori criteria.
resultsAmong 79,091 hospitalizations, we reviewed 908. A query for any ICD-9 code for CHF had PPV 42.8% (SE 1.5%) for acute CHF and sensitivity 94.3% (1.3%). Primary diagnosis of 428 and BNP >500 pg/mL had PPV 90.4% (SE 2.4%) and sensitivity 28.8% (1.1%). PPV was <10% when there was no echocardiogram, no BNP, and no primary diagnosis. 'False positive' hospitalizations were for other heart disease, lung disease, or other reasons.
conclusionsThis novel method successfully allowed flexible application and validation of queries for patients hospitalized with acute CHF.
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