Predictive Value of Routine Laboratory Parameters in Hospitalized COVID-19 Patients on Severity of Illness

Abstract

Aim: Early prediction of Coronavirus disease 2019 (COVID-19) disease severity is important to reduce mortality. Therefore, we sought to determine the clinical correlation between these baseline routine laboratory parameters and their effects on mortality, by retrospectively investigating the routine laboratory parameters of hospitalized COVID-19 patients on admission day. Materials and methods: This retrospective-observational study population consisted of 415 hospitalized COVID-19 patients. Patients were divided into three groups (mild, moderate, and severe) according to their clinical status on admission day. On admission, fifteen routine biochemical and hematological laboratory parameters of COVID-19 patients were evaluated. Results: Aspartate aminotransferase (AST), alanine transaminase (ALT), lactate dehydrogenase (LDH), ferritin, International Normalized Ratio (INR), and d-dimer levels were higher in non-survivors than in survivors, regardless of the initial disease severity group classification. No statistically significant difference was found between the groups in terms of uric acid, monocyte, and platelet count.s Conclusions: There is a need for an urgent scale for detecting COVID-19 severity. AST, ALT, LDH, ferritin, INR, and d-dimer levels may help predict the disease’s severity in COVID-19.

Keywords

• covid-19
• biochemical parameters
• disease’s severity
• covid-19
• biyokimyasal parametreler
• hastalık şiddeti