Archives of Medicine

  • ISSN: 1989-5216
  • Journal h-index: 17
  • Journal CiteScore: 4.25
  • Journal Impact Factor: 3.58
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days
Awards Nomination 20+ Million Readerbase
Indexed In
  • Genamics JournalSeek
  • China National Knowledge Infrastructure (CNKI)
  • Directory of Research Journal Indexing (DRJI)
  • OCLC- WorldCat
  • Proquest Summons
  • Publons
  • Geneva Foundation for Medical Education and Research
  • Euro Pub
  • Google Scholar
  • Secret Search Engine Labs
Share This Page


Comparative Analysis of Biochemical Indexes of Severe and Non-Severe Patients Infected with COVID-19

Boufrioua E*, Awati E, Ouahidi I, Elomari L, Ouassif H, Arsalane L and Boukhira A

Background: The coronavirus disease 19 (COVID-19) is a highly transmittable and pathogenic viral infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The characteristics of laboratory findings of coronavirus are of great significance for clinical diagnosis and treatment. This study aimed to evaluate the accuracy of biochemical parameters in COVID-19 and to compare them according to the severity of the disease.

Methods: This diagnostic accuracy study was conducted in COVID-19 patients, During the study period 169 COVID-19 patients were hospitalized at the Avicenne military hospital, 20 patients in the medical intensive care unit (severe group) and 149 patients in the COVID-19 isolation hospital (non-severe group).

Results: Through the analysis of laboratory data of patients with COVID-19 (169 patients), we demonstrated that severe cases possessed higher levels of C-Reactive Protein (CRP), Aspartate Aminotransferase(AST), Alanine Aminotransferase (ALT), and Urea levels in serum, creatinine, hypoalbuminemia, hyponatremia, hyperbilirubinemia, troponin, procalcitonin.

Conclusion: The analysis of the current scientific literature demonstrates the value of laboratory parameters as simple, rapid, and cost-effective biomarkers in COVID-19 patients.