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Early predictors of mortality for moderate to severely ill patients with Covid-19

Gökhan Aksel1, Mehmet Muzaffer İslam1, Abdullah Algın1

  • 1Emergency Medicine Department, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, Turkey.

The American Journal of Emergency Medicine
|October 12, 2020
PubMed

Insights

Predicting COVID-19 mortality is crucial for treatment. Comorbidities, elevated C-reactive protein (CRP), and dyspnea increase mortality risk, while high oxygen saturation decreases it in moderate to severe cases.

Area of Science:

  • Medical Research
  • Infectious Diseases
  • Critical Care Medicine

Background:

  • Understanding factors influencing COVID-19 patient mortality is essential for developing effective treatment strategies.
  • This study focuses on identifying predictors of mortality in moderate to severe laboratory-confirmed COVID-19 cases.

Purpose of the Study:

  • To determine parameters that can predict mortality in moderate to severely ill COVID-19 patients.
  • To identify clinical and laboratory factors associated with 30-day mortality.

Main Methods:

  • Inclusion of moderate to severely ill COVID-19 patients over 18 years old.
  • Exclusion of mild cases and those with negative PCR tests.
  • Analysis of 168 patient results to identify mortality predictors.

Main Results:

  • Multivariate regression identified comorbid diseases, elevated C-reactive protein (CRP), and dyspnea as significant mortality predictors.
  • High pulse oxygen saturation (SpO2) was found to decrease mortality risk.
  • Laboratory markers including white blood cell count, neutrophil count, CRP, and neutrophil/lymphocyte ratio predicted mortality.

Conclusions:

  • Dyspnea, presence of comorbid diseases, elevated CRP levels, and low pulse oxygen saturation are key predictors of mortality in moderate to severe COVID-19.
  • Specific laboratory tests can aid in predicting mortality outcomes.
  • These findings can inform clinical decision-making and patient management algorithms.
Abstract

Keywords:
2019 novel coronavirus diseaseCOVID-19 pandemicMortalitySARS-CoV-2 infection

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