Clinical value of blood markers to assess the severity of coronavirus disease 2019

Abstract

Background Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is threatening the world with the symptoms of seasonal influenza. This study was conducted to investigate the patient characteristics and clinical value of blood markers to assess the severity of coronavirus disease 2019 (COVID-19). Methods 187 patients, diagnosed with COVID-19 (non-severe and severe cases) and admitted to hospital between January 27th and March 8th of 2020, were enrolled in the present study. Results A higher proportion of clinical symptoms, including cough, expectoration, myalgia, and fatigue were observed in the non-severe group. The level of white blood cell count, neutrophils, CRP, IL-6 and IL-8 were significantly increased, while the platelet count was remarkedly decreased in the severe group. The risk model based on lymphocyte, IL-6, IL-8, CRP and platelet counts had the highest area under the receiver operator characteristic curve (AUROC). The baseline of IL-6, IL-8 and CRP was positively correlated with other parameters except in the cases of lymphocyte, hemoglobin and platelet counts. The baseline of the platelet count was negatively correlated with other parameters except in the lymphocyte and hemoglobin counts. Additionally, there was no connection between the severity of COVID-19 and cultures of blood, sputum or catheter secretion. Conclusions The present study suggested that high leucocyte and low platelets counts were independent predictive markers of the severity of COVID-19.

Clinical Value of Platelets and Coagulation Parameters in Predicting the Severity of Delta Variant SARS-CoV-2

“…In the current study, there was a statistically significant difference in platelet count, large platelet count, and PCT with regard to subcategories based of disease severity. We also found a downward trend in platelet counts in Delta variant SARS-CoV-2 patients among the subgroups based on clinical severity, which is in accordance with previous literature [ 29 , 37 ]. Moreover, we investigate the correlations between platelet count and other various parameters, a common positive correlation was observed between platelet and other hematological parameters increasing along with the severity of disease.…”

“…Meanwhile, platelet count presented a major negative correlation with platelet parameters. Additionally, binary logistic regression analysis was performed to identify predictors of severe Delta and showed that a lower level of platelets was strongly associated with more severe disease, suggesting that platelet was an independent predictive factor for severe Delta, which was in agreement with a previous published study [37, 38]. The biomarkers including D-dimer, platelet, large platelet count, and PCT were chosen for further ROC analysis because they presented a significant prediction for Delta severity in logistic regression analysis.…”

The clinical and epidemiological characteristics of a series of patients living with HIV admitted for COVID-19 in a district hospital

“…As high HbA1c may not be a reliable biomarker in this context, our findings were focused on the neutrophils and CRP. Even though, the performance of both was suboptimal to use as a prediction marker, high neutrophils and CRP are consistent with previous studies showing higher diagnostic accuracy and AUC of ROC analysis [ 47 , 48 ]. Lastly, our study found that smoking was an independent factor of mortality PLWH with SARS-CoV-2 infection.…”

Correlation Between IL-8, C-Reactive Proteins (CRP) and Neutrophil to Lymphocyte Ratio (NLR) as Predictor of Mortality in COVID-19 Patients with Diabetes Mellitus Comorbidity

“… 15 These two things are related, where Xiao et al found that an increase in IL-8 in COVID-19 patients was positively correlated with an increase in CRP. 16 Both increased of IL-8 and CRP were associated with poorer clinical outcomes and increased mortality compared to COVID-19 patients with lower IL-8 and/or CRP. 13 …”