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COVID-19-Hospitalized Patients in Karnataka: Survival and Stay Characteristics

Vinayak Mishra1, Ajit Deo Burma1, Sumit Kumar Das2

  • 1MPH Scholar, Department of Epidemiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Indian Journal of Public Health
|June 5, 2020
PubMed

Insights

Severe COVID-19 disease and older age (≥ 60 years) significantly predicted mortality in Karnataka, India. This finding is crucial for hospital resource planning during the pandemic.

Area of Science:

  • Epidemiology
  • Infectious Diseases
  • Public Health

Background:

  • Limited data exists on the clinical course of coronavirus disease 2019 (COVID-19) and its correlates.
  • Assessing hospital care needs requires understanding factors influencing patient outcomes.

Purpose of the Study:

  • To investigate factors associated with hospital stay and mortality in COVID-19 patients in Karnataka, India.
  • To provide data for effective hospital resource allocation and contingency planning.

Main Methods:

  • Retrospective cohort analysis of 445 COVID-19 patients from March 9 to April 23, 2020.
  • Data sourced from publicly available media bulletins for Karnataka state.
  • Follow-up for definitive outcomes (death/discharge) for 14 days post-initial observation period.

Main Results:

  • The median hospital stay for COVID-19 patients was 17 days.
  • Severe disease at admission (aHR: 9.3; P < 0.001) and age ≥ 60 years (aHR: 11.9; P < 0.001) were significant predictors of mortality.
  • Survival analyses provide crucial insights beyond descriptive statistics.

Conclusions:

  • Severe COVID-19 and advanced age are key predictors of mortality.
  • Understanding these factors is vital for modeling hospital bed-occupancy demands.
  • This information supports contingency planning during the COVID-19 pandemic.

Keywords:
Bed occupancyCOVID-19Kaplan–Meier analysisfixed cohorthospitalizationlength of hospital staysevere acute respiratory illnesssurvival

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