Open AccessClinical characteristics of Egyptian male patients with COVID‐19 acute respiratory distress syndrome
Author(s) -
Ahmed S. Doghish,
Walid F. Elkhatib,
Essam A. Hassan,
Ahmed F. Elkhateeb,
Eman Mahmoud,
Mona Ahmed,
Mahmoud A F Khalil
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0249346
Subject(s) - ards , medicine , ferritin , gastroenterology , creatinine , lactate dehydrogenase , c reactive protein , immunology , respiratory distress , alanine transaminase , lung , surgery , inflammation , biology , biochemistry , enzyme
Background Coronavirus disease 2019 (COVID-19) is a serious illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and in severe cases associated with acute respiratory distress syndrome (ARDS). Objective To describe the clinical characteristics of patients with ARDS-COVID-19. Materials and methods This study involved 197 male Egyptian participants, among them111 COVID-19 patients presented with ARDS, 60 COVID-19 patients presented with non-ARDS, and 26 Non-COVID-19 patients. We reported the analysis results of clinical and laboratory information, including blood routine tests, blood biochemistry parameters [aspartate aminotransferase (AST), alanine aminotransferase (ALT), creatinine and C‐reactive protein (CRP)], thrombotic activity (D‐dimer) and serum ferritin and lactate dehydrogenase (LDH). Results The levels of hemoglobin, AST, creatinine, monocyte count, monocyte %, RBC count, TLC, and platelet count were not significantly different among the groups. The lymphopenia and increased CRP, ALT, D-dimer, ferritin, and LDH were observed in patients with ARDS-COVID-19. Conclusion COVID-19 patients with ARDS presented with lymphopenia, increased thrombotic activity, increased CRP, LDH, and ferritin levels. The results revealed that CRP, D-dimer, LDH levels, and lymphopenia have a significant association with the COVID-19 severity and can be used as biomarkers to predict the disease severity.