Time-Dependent Changes in COVID-19 Severity Based on the Information of Patients Referring to Masih Daneshvari

Mehdi Kazempour-Dizaji1,2, Ali Zare2, Mohammad Varahram1

  • 1Mycobacteriology Research Center (MRC), National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Tanaffos
|November 3, 2023
PubMed

Insights

Coronavirus disease 2019 (COVID-19) cases are shifting towards increased severity over time. This trend suggests a potential for more aggressive disease progression and higher intensive care unit (ICU) admissions if not controlled.

Area of Science:

  • Epidemiology
  • Infectious Diseases
  • Public Health

Background:

  • Coronavirus disease 2019 (COVID-19) emerged as a novel infectious disease with many unknown characteristics.
  • The transmission dynamics and effective treatments for COVID-19 remained areas of active investigation.

Purpose of the Study:

  • To investigate the time-dependent changes in the severity of COVID-19.
  • To analyze trends in mild, moderate, and severe COVID-19 cases over time.

Main Methods:

  • A correlation analysis was employed to examine temporal changes in COVID-19 severity.
  • Data from 4372 patients with COVID-19 at Dr. Masih Daneshvari Hospital in Tehran were analyzed.

Main Results:

  • On average, 154.80 patients presented with mild to moderate COVID-19, while 39.06 had severe COVID-19 daily.
  • A statistically significant descending trend was observed in mild to moderate COVID-19 cases (r=-0.40, P=0.004).
  • A significant ascending trend was noted in severe COVID-19 cases (r=0.43, P=0.003) over time.

Conclusions:

  • COVID-19 severity is not constant and shows a trend towards increased aggressiveness.
  • Failure to implement timely disease control measures may lead to a rise in severe COVID-19 cases and ICU hospitalizations.
Abstract