Your browser doesn't support javascript.
COVID-19 infections and outcomes in a live registry of heart failure patients across an integrated health care system.
Caraballo, César; McCullough, Megan; Fuery, Michael A; Chouairi, Fouad; Keating, Craig; Ravindra, Neal G; Miller, P Elliott; Malinis, Maricar; Kashyap, Nitu; Hsiao, Allen; Wilson, F Perry; Curtis, Jeptha P; Grant, Matthew; Velazquez, Eric J; Desai, Nihar R; Ahmad, Tariq.
  • Caraballo C; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, United States of America.
  • McCullough M; Center for Outcomes Research & Evaluation (CORE), Yale New Haven Hospital, New Haven, CT, United States of America.
  • Fuery MA; Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States of America.
  • Chouairi F; Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States of America.
  • Keating C; Yale University School of Medicine, New Haven, CT, United States of America.
  • Ravindra NG; Joint Data Analytics Team, Yale New Haven Hospital, New Haven, CT, United States of America.
  • Miller PE; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, United States of America.
  • Malinis M; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, United States of America.
  • Kashyap N; Department of Internal Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, CT, United States of America.
  • Hsiao A; Joint Data Analytics Team, Yale New Haven Hospital, New Haven, CT, United States of America.
  • Wilson FP; Joint Data Analytics Team, Yale New Haven Hospital, New Haven, CT, United States of America.
  • Curtis JP; Department of Internal Medicine, Section of Nephrology, Yale School of Medicine, New Haven, CT, United States of America.
  • Grant M; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, United States of America.
  • Velazquez EJ; Center for Outcomes Research & Evaluation (CORE), Yale New Haven Hospital, New Haven, CT, United States of America.
  • Desai NR; Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States of America.
  • Ahmad T; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, United States of America.
PLoS One ; 15(9): e0238829, 2020.
Article in English | MEDLINE | ID: covidwho-807468
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
ABSTRACT

BACKGROUND:

Patients with comorbid conditions have a higher risk of mortality with SARS-CoV-2 (COVID-19) infection, but the impact on heart failure patients living near a disease hotspot is unknown. Therefore, we sought to characterize the prevalence and outcomes of COVID-19 in a live registry of heart failure patients across an integrated health care system in Connecticut.

METHODS:

In this retrospective analysis, the Yale Heart Failure Registry (NCT04237701) that includes 26,703 patients with heart failure across a 6-hospital integrated health care system in Connecticut was queried on April 16th, 2020 for all patients tested for COVID-19. Sociodemographic and geospatial data as well as, clinical management, respiratory failure, and patient mortality were obtained via the real-time registry. Data on COVID-19 specific care was extracted by retrospective chart review.

RESULTS:

COVID-19 testing was performed on 900 symptomatic patients, comprising 3.4% of the Yale Heart Failure Registry (N = 26,703). Overall, 206 (23%) were COVID- 19+. As compared to COVID-19-, these patients were more likely to be older, black, have hypertension, coronary artery disease, and were less likely to be on renin angiotensin blockers (P<0.05, all). COVID-19- patients tended to be more diffusely spread across the state whereas COVID-19+ were largely clustered around urban centers. 20% of COVID-19+ patients died, and age was associated with increased risk of death [OR 1.92 95% CI (1.33-2.78); P<0.001]. Among COVID-19+ patients who were ≥85 years of age rates of hospitalization were 87%, rates of death 36%, and continuing hospitalization 62% at time of manuscript preparation.

CONCLUSIONS:

In this real-world snapshot of COVID-19 infection among a large cohort of heart failure patients, we found that a small proportion had undergone testing. Patients found to be COVID-19+ tended to be black with multiple comorbidities and clustered around lower socioeconomic status communities. Elderly COVID-19+ patients were very likely to be admitted to the hospital and experience high rates of mortality.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Registries / Coronavirus Infections / Heart Failure Type of study: Cohort study / Observational study / Prognostic study Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0238829

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Registries / Coronavirus Infections / Heart Failure Type of study: Cohort study / Observational study / Prognostic study Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0238829