Background: Patients with pre-existing heart failure (HF) are likely at higher risk for adverse outcomes in coronavirus disease-2019 (COVID-19), but data on this population are sparse. Objectives: This study described the clinical profile and associated outcomes among patients with HF hospitalized with COVID-19. Methods: This study conducted a retrospective analysis of 6,439 patients admitted for COVID-19 at 1 of 5 Mount Sinai Health System hospitals in New York City between February 27 and June 26, 2020. Clinical characteristics and outcomes (length of stay, need for intensive care unit, mechanical ventilation, and in-hospital mortality) were captured from electronic health records. For patients identified as having a history of HF by International Classification of Diseases-9th and/or 10th Revisions codes, manual chart abstraction informed etiology, functional class, and left ventricular ejection fraction (LVEF). Results: Mean age was 63.5 years, and 45% were women. Compared with patients without HF, those with previous HF experienced longer length of stay (8 days vs. 6 days; p < 0.001), increased risk of mechanical ventilation (22.8% vs. 11.9%; adjusted odds ratio: 3.64; 95% confidence interval: 2.56 to 5.16; p < 0.001), and mortality (40.0% vs. 24.9%; adjusted odds ratio: 1.88; 95% confidence interval: 1.27 to 2.78; p = 0.002). Outcomes among patients with HF were similar, regardless of LVEF or renin-angiotensin-aldosterone inhibitor use. Conclusions: History of HF was associated with higher risk of mechanical ventilation and mortality among patients hospitalized for COVID-19, regardless of LVEF.

Original languageEnglish
Pages (from-to)2334-2348
Number of pages15
JournalJournal of the American College of Cardiology
Issue number20
StatePublished - 17 Nov 2020


  • COVID-19
  • coronavirus
  • heart failure
  • left ventricular ejection fraction
  • outcome
  • renin-angiotensin-aldosterone system inhibitor


Dive into the research topics of 'Prognostic Impact of Prior Heart Failure in Patients Hospitalized With COVID-19'. Together they form a unique fingerprint.

Cite this