Geographical Differences in Cardiovascular Comorbidities and Outcomes of COVID-19 Hospitalized Patients in the USA

Efstratios Koutroumpakis1, S Shahrukh Hashmi2, Christopher Powell1

  • 1Division of Cardiology, Department of Internal Medicine, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, Texas, USA.

Cardiology
|April 26, 2021
PubMed

Insights

Hospitalized patients with coronavirus disease 2019 (COVID-19) in Texas had higher rates of diabetes and required more mechanical ventilation than those in New York. Despite differing comorbidities, in-hospital mortality was similar, but Texas patients experienced longer times to support and death.

Area of Science:

  • Comparative outcomes of COVID-19 patients across different US regions.
  • Impact of cardiovascular comorbidities on COVID-19 severity and outcomes.

Background:

  • Cardiovascular comorbidities are linked to adverse outcomes in COVID-19 patients.
  • Significant regional variations in cardiovascular comorbidity burden exist across the USA.
  • Systematic study of regional differences in COVID-19 outcomes is lacking.

Purpose of the Study:

  • To investigate differences in underlying cardiovascular comorbidities.
  • To compare clinical outcomes of hospitalized COVID-19 patients between Texas and New York.

Main Methods:

  • Multicenter retrospective registry of COVID-19 patients (March 15 - July 12, 2020).
  • Data manually retrieved from electronic medical records.
  • Outcomes analyzed: mortality, pharmacologic circulatory support, mechanical ventilation, hemodialysis; logistic regression performed.

Main Results:

  • Texas cohort (n=296) younger, higher BMI, more diabetes; New York cohort (n=218) higher rates of coronary artery disease and atrial fibrillation.
  • Texas patients had increased need for circulatory support, mechanical ventilation, and hemodialysis.
  • In-hospital mortality was similar; mechanical ventilation remained higher in Texas after adjustment. Median time to support and mortality was longer in Texas.

Conclusions:

  • Geographical variations in practice patterns and disease burden influence COVID-19 outcomes.
  • Unadjusted data can bias healthcare resource allocation and policy.
  • Regional differences in comorbidities and care necessitate tailored approaches for COVID-19 management.
Abstract

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