Clinical features and disease severity in an Iranian population of inpatients with COVID-19

Shima Nabavi1, Zahra Javidarabshahi2, Abolghasem Allahyari3

  • 1Department of Internal Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Scientific Reports
|April 23, 2021
PubMed

Insights

Low oxygen saturation, nausea/vomiting, and lung CT scan results predict severe COVID-19. These factors, along with C-reactive protein and pO2 levels, aid in predicting severe coronavirus disease 2019 outcomes.

Area of Science:

  • Internal Medicine
  • Infectious Diseases
  • Radiology

Background:

  • Coronavirus disease 2019 (COVID-19) presents with varied symptoms and severity.
  • Identifying predictors of severe COVID-19 is crucial for patient management.

Purpose of the Study:

  • To review clinical features of COVID-19 inpatients with different severities.
  • To identify factors associated with and predicting severe COVID-19.

Main Methods:

  • Cross-sectional study of 200 COVID-19 patients (moderate, severe, critical) in Mashhad, Iran.
  • Collected and compared demographic, clinical, laboratory, and radiologic findings.
  • Utilized computed tomography (CT) and reverse-transcriptase polymerase chain reaction (RT-PCR) for diagnosis.

Main Results:

  • Disease severity was significantly associated with age, comorbidities, dyspnea, nausea/vomiting, confusion, vital signs, CT involvement, CRP, and blood gas parameters.
  • Complications like shock, ARDS, and ICU admission were higher in severe/critical cases.
  • Oxygen saturation, nausea/vomiting, and extent of lung CT involvement were independent predictors of severe/critical COVID-19.

Conclusions:

  • Oxygen saturation, nausea/vomiting, and lung CT involvement independently predict severe COVID-19.
  • Serum CRP and pO2 levels are also associated with higher severity and can aid in prediction.

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