OBJECTIVE : Understanding the common laboratory features of COVID-19 in severe cases versus non-severe patients could be quite useful for clinicians and might help to predict the model of disease progression. MATERIALS AND METHODS: Electronic databases were systematically searched in PubMed, EMBASE, Scopus, Web of ‎Science, and Google Scholar from inception to 3 rd of March 2020. Heterogeneity across included ‎studies was determined using Cochrane’s Q test and the I 2 statistic. We used the fixed or random-effect models to pool ‎the weighted mean differences (WMDs) or standardized mean differences and 95% confidence ‎intervals (CIs).‎ RESULTS:‎ Out of a total of 3009 citations, 17 articles (22 studies, 21 from China and one study from Singapour) with 3396 ranging from 12-1099 patients, ‎were included. Our meta-analyses showed a significant decrease in ‎lymphocyte, monocyte, and eosinophil, hemoglobin, platelet, albumin, serum sodium, lymphocyte to C-reactive protein ratio (LCR), leukocyte to C-reactive protein ratio (LeCR), leukocyte to IL-6 ratio (LeIR), and an increase in the ‎neutrophil, alanine ‎aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin, blood urea nitrogen (BUN), creatinine (Cr), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), procalcitonin (PCT), lactate dehydrogenase (LDH), fibrinogen, prothrombin time (PT), D-dimer, glucose ‎level, and neutrophil to lymphocyte ratio (NLR) in the severe group compared with the non-severe group. However, no significant changes were observed in white blood cells (WBC), ‎ creatine kinase (CK), troponin I, myoglobin, interleukin-6 (IL-6), and potassium (K) between the two groups.‎ CONCLUSIONS : This meta-analysis provides evidence for the differentiation of severe cases of COVID-19 based on laboratory test results at the time of hospital admission. Future well-methodologically designed studies from other populations are strongly recommended.
Laboratory features in severe vs. non-severe COVID-19 patients, a systematic review and meta-analysis