Evaluation of coagulation parameters according to serum CRP levels in early stage COVID-19 patients

Objectives: An increase in the levels of inflammatory biomarkers is observed in coronavirus disease (COVID-19). Coagulopathy occurring during the course of the disease has also been associated with inflammation. In our study, we aimed to evaluate the coagulation parameters according to the severity of inflammation in patients with early stage COVID-19 disease. Methods: The study was carried out retrospectively in a third-level hospital between April 8 and August 20, 2020. The patients were divided into two groups according to polymerase chain reaction (PCR) results. Non-COVID-19 group consisted of 72 patients with negative, and COVID-19 group consisted of 247 patients with positive PCR results. According to the serum C-reactive protein (CRP) levels the COVID-19 patients were divided into three groups as follows: Group1 (CRP<10 mg/L;n=105), Group 2 ( CRP 10-50 mg/L;n=72), and Group 3 (CRP >50 mg/L;n=70). Age, CRP, and coagulation parameters including fibrinogen, D-dimer, aPTT, and PT were compared between the groups. Results: There were significant differences between the non-COVID-19 and COVID-19 patients in terms of age, CRP and coagulation parameters. Likewise, there was a significant difference among 3 groups regarding coagulation parameters. In the multinomial logistic regression analysis, only level of D-dimer was an independent risk factor among all groups, while PT was an independent risk factor between Groups 1, and 3. Conclusion: Our findings suggest that coagulopathy occurs in the early stage in relation to the severity of inflammation. For the diagnosis of COVID-19 disease and the detection of thrombotic complications;it is important to monitor results of the coagulation tests along with markers of inflammation from the early stages of the disease. [ FROM AUTHOR] Copyright of International Journal of Medical Biochemistry is the property of KARE Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Are Thyroid Functions Affected in Multisystem Inflammatory Syndrome in Children?

Objective: Multisystem inflammatory syndrome in children (MIS-C), associated with Coronavirus disease-2019, is defined as the presence of documented fever, inflammation, and at least two signs of multisystem involvement and lack of an alternative microbial diagnosis in children who have recent or current Severe acute respiratory syndrome-Coronavirus-2 infection or exposure. In this study, we evaluated thyroid function tests in pediatric cases with MIS-C in order to understand how the hypothalamus-pituitary-thyroid axis was affected and to examine the relationship between disease severity and thyroid function. Methods: This case-control study was conducted between January 2021 and September 2021. The patient group consisted of 36 MIS-C cases, the control group included 72 healthy children. Demographic features, clinical findings, inflammatory markers, thyroid function tests, and thyroid antibody levels in cases of MIS-C were recorded. Thyroid function tests were recorded in the healthy control group. Results: When MIS-C and healthy control groups were compared, free triiodothyronine (fT3) level was lower in MIS-C cases, while free thyroxine (fT4) level was found to be lower in the healthy group (p<0.001, p=0.001, respectively). Although the fT4 level was significantly lower in controls, no significant difference was found compared with the age-appropriate reference intervals (p=0.318). When MIS-C cases were stratified by intensive care requirement, fT3 levels were also lower in those admitted to intensive care and also in those who received steroid treatment (p=0.043, p<0.001, respectively). Conclusion: Since the endocrine system critically coordinates and regulates important metabolic and biochemical pathways, investigation of endocrine function in MIS-C may be beneficial. These results show an association between low fT3 levels and both diagnosis of MIS-C and requirement for intensive care. Further studies are needed to predict the prognosis and develop a long-term follow-up management plan.

Diagnostic utility of C-reactive protein to albumin ratio as an early warning sign in hospitalized severe COVID-19 patients.

C-reactive protein-to-albumin ratio (CAR) has been used as an indicator of prognosis in various diseases. Here, we intended to assess the CAR's diagnostic power in early differentiation of hospitalized severe COVID-19 cases. In this retrospectively designed study, we evaluated 197 patients in total. They were divided into two groups based on their severity of COVID-19 as non-severe (n = 113) and severe (n = 84). The comparison of groups' demographic data, comorbidities, clinical symptoms, and laboratory test results were done. Laboratory data of the patients within the first 24 h after admission to the hospital were evaluated. The calculation of receiver operating characteristic (ROC) curve was used to determine the diagnostic power of CAR in differentiating severity of COVID-19. Independent risk factors predictive of COVID-19 severity were determined by using logistic regression analysis. Although lymphocyte count levels were lower, severe COVID-19 patients had higher mean age, higher levels of neutrophil count, CRP, aspartate aminotransferase (AST), ferritin, and prothrombin time (P < 0.05). Compared with non-severe patients (median, 0.23 [IQR = 0.07-1.56]), patients with severe COVID-19 had higher CAR levels (median, 1.66 [IQR = 0.50-3.35]; P < 0.001). Age (OR = 1.046, P = 0.003), CAR (OR = 1.264, P = 0.037), and AST (OR = 1.029, P = 0.037) were independent risk factors for severe COVID-19 based on the multivariate logistic regression analysis. ROC curve analysis assigned 0.9 as the cut-off value for CAR for differentiation of severe COVID-19 (area under the curve = 0.718, 69.1% sensitivity, 70.8% specificity, P < 0.001). CAR is a useful marker in early differentiation of severity in patients hospitalized due to COVID-19 that have longer hospital stay and higher mortality.