ArticleCirculation. Heart failure2021
Disparity in the Setting of Incident Heart Failure Diagnosis.
Article in Circulation. Heart failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
- Deep learning analysis of single-lead electrocardiograms enables pragmatic heart failure risk assessment in the general population.European heart journal. Digital health · 2026Article
- Demographic Differences in Long COVID Diagnosis Across Levels of Care: Implications for Clinical Practice.Journal of general internal medicine · 2026Article
- Article
- Health Care Access and Affordability for Patients With Heart Failure in Medicare Advantage vs Traditional Medicare.Journal of cardiac failure · 2025Article
- Raising the Bar: Age-adjust NT-proBNP to improve specificity and reduce delay.ESC heart failure · 2025Article
- Health inequalities and trends in heart failure diagnosis in primary care in England, 2000-21: a national retrospective cohort data-linkage study.The Lancet. Primary care · 2025Article
- Lifetime Healthcare and Long-Term Care Costs of Heart Failure: Estimates Using Administrative Data from Hospitalized Patients in the Netherlands.PharmacoEconomics · 2025Article
- Article
- First myocardial infarction: risk factors, symptoms, and medical therapy.European heart journal · 2025Article
- Short report: Hospitalization for new-onset heart failure in survivors of hospitalized COVID-19.ESC heart failure · 2025Article
- Noninvasive Screening for Elevated LVEDP and Health Status in Outpatients at Risk for Heart Failure.JACC. Advances · 2025Article
- Development and multinational validation of an ensemble deep learning algorithm for detecting and predicting structural heart disease using noisy single-lead electrocardiograms.European heart journal. Digital health · 2025Article
- Artificial Intelligence-Enabled Prediction of Heart Failure Risk From Single-Lead Electrocardiograms.JAMA cardiology · 2025Article
- Inpatient versus outpatient diagnosis of heart failure across the spectrum of ejection fraction: a population cohort study.Heart (British Cardiac Society) · 2025Article
- Artificial Intelligence in Diagnosis of Heart Failure.Journal of the American Heart Association · 2025Review
- Social Determinants of Health and Disparities in Guideline-Directed Medical Therapy Optimization for Heart Failure.Circulation. Heart failure · 2025Article
- Artificial Intelligence Enabled Prediction of Heart Failure Risk from Single-lead Electrocardiograms.medRxiv : the preprint server for health sciences · 2024Article
- Artificial Intelligence to Promote Racial and Ethnic Cardiovascular Health Equity.Current cardiovascular risk reports · 2024Article
- Early Detection of Heart Failure with Autonomous AI-Based Model Using Chest Radiographs: A Multicenter Study.Diagnostics (Basel, Switzerland) · 2024Article
- Socioeconomic disparities in lumbar fusion rates were exacerbated during the COVID-19 pandemic.North American Spine Society journal · 2024Article
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Authors and funding
8 authors.
Funding
Abstract
backgroundEarly heart failure (HF) recognition can reduce morbidity, yet HF is often initially diagnosed only after a patient clinically worsens. We sought to identify characteristics that predict diagnosis in the acute care setting versus the outpatient setting.
methodsWe estimated the proportion of incident HF diagnosed in the acute care setting (inpatient hospital or emergency department) versus outpatient setting based on diagnostic codes from a claims database covering commercial insurance and Medicare Advantage between 2003 and 2019. After excluding new-onset HF potentially caused by a concurrent acute cause (eg, acute myocardial infarction), we identified demographic, clinical, and socioeconomic predictors of diagnosis setting. Patients were linked to their primary care clinicians to evaluate diagnosis setting variation across clinicians.
resultsOf 959 438 patients with new HF, 38% were diagnosed in acute care. Of these, 46% had potential HF symptoms in the prior 6 months. Over time, the relative odds of acute care diagnosis increased by 3.2% annually after adjustment for patient characteristics (95% CI, 3.1%-3.3%). Acute care diagnosis setting was more likely for women compared with men (adjusted odds ratio, 1.11 [95% CI, 1.10-1.12]) and for Black patients compared with White patients (adjusted odds ratio, 1.18 [95% CI, 1.16-1.19]). The proportion of acute care diagnosis varied substantially (interquartile range: 24%-39%) among clinicians after adjusting for patient-level risk factors.
conclusionsA large proportion of first HF diagnoses occur in the acute care setting, particularly among women and Black patients, yet many had potential HF symptoms in the months before acute care visits. These results raise concerns that many HF diagnoses are missed in the outpatient setting. Earlier diagnosis could allow for timelier high-value interventions, addressing disparities and reducing the progression of HF.
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