The relationship between plasminogen activator Inhibitor-1 levels and the course of disease in COVID-19 patients

Studies have shown that fibrinolysis activity is insufficient in COVID-19 patients. Plasminogen activator inhibitor-1 (PAI-1) is an important antifibrinolytic molecule that plays a key role in the fibrinolytic system. In our study;we aimed to evaluate serum PAI-1 and other biochemical parameters of COVID-19 patients in terms of disease course and mortality.A total of 40 COVID-19 patients were hospitalized in the service and intensive care unit (ICU) of our hospital from October to December 2020 and 20 healthy volunteers were included in our study. The patients were grouped as those who transferred to the ICU from the service and transferred to service from the ICU. The first and second values of the same patients in both the service and the ICU were analyzed by SPSS.The PAI-1 levels of the patients in the ICU were significantly higher than the levels of the same patients in the service and the healthy control group (p<0.001). IL-6, ferritin, and D-dimer levels in the ICU of the same patients were significantly higher than the levels of service and healthy control group (p<0.001). A positive correlation was found between initial serum PAI-1 and D-dimer levels in patients hospitalized in the service (p=0.039) and initial serum ferritin and IL-6 levels in the ICU (p=0.031).In our study, we found that PAI-1 levels increased significantly with the increase in mortality in COVID-19 patients. [ FROM AUTHOR] Copyright of Turkish Journal of Biochemistry / Turk Biyokimya Dergisi is the property of De Gruyter 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.)

Laboratory findings in predicting intensive care need and death of COVID-19 patients

INTRODUCTION: The ability to predict the course of COVID-19 is very valuable in terms of the optimal use of health resources. The aim of this study was to examine the value of biochemical and hematological parameters in the estimation of hospital stay, disease severity, and likelihood of death. METHODS: Routine blood analysis data of confirmed COVID-19 cases (n=222) were collected and analyzed. The patients were divided into 3 groups: outpatient, inpatient, and patients requiring intensive care. RESULTS: There were significant differences between the 3 groups in terms of age, lymphocyte, neutrophil, hemoglobin, hematocrit, mean corpuscular volume (MCV), red blood cell distribution width (RDW), neutrophil-to-lymphocyte ratio (NLR), neutrophil-to-monocyte ratio (NMR), platelet-to-lymphocyte ratio (PLR), procalcitonin, C-reactive protein (CRP), and D-dimer values. Univariate analysis for mortality revealed significant differences in neutrophil, NLR, PLR, NMR, procalcitonin, and CRP values. Multivariable logistic regression yielded significant differences in only NMR and procalcitonin values. A positive correlation was determined between the length of hospital stay and age, MPV, procalcitonin, and D-dimer values. DISCUSSION AND CONCLUSION: The neutrophil count was the most appropriate parameter to predict the need for intensive care (area under the curve: 0.782, sensitivity: 73%, specificity: 75%, with a cutoff of 4.43). The NMR and procalcitonin values were significant to predict death in multivariate analysis. Age, CRP, and D-dimer values were the parameters most associated with the duration of hospitalization.

The relationship between serum erythropoietin, hepcidin, and haptoglobin levels with disease severity and other biochemical values in patients with COVID-19.

INTRODUCTION: Studies have shown that iron metabolism is affected by coronavirus disease 19 (COVID-19), which has spread worldwide and has become a global health problem. Our study aimed to evaluate the relationship between COVID-19 and serum erythropoietin (EPO), hepcidin, and haptoglobin (Hpt) levels with disease severity, and other biochemical values. METHODS: Fifty nine COVID-19 patients hospitalized in the intensive care unit (ICU) and wards in our hospital between March and June 2020 and 19 healthy volunteers were included in the study. Participants were divided into mild, severe, and critical disease severity groups. Group mean values were analyzed with SPSS according to disease severity, mortality, and intubation status. RESULTS: Hemoglobin (Hb) levels were significantly lower in the critical patient group (P < .0001) and deceased group (P < .0001). The red blood cell distribution width-coefficient of variation (RDW-CV) and ferritin values were significantly higher in the intubated (P = .001, P = .005) and deceased (P = .014, P = .003) groups. Ferritin values were positively correlated with disease severity (P < .0001). Serum iron levels were lower in the patient group compared with the reference range. (P < .0001). It was found that the transferrin saturation (TfSat) was lower in the patient group compared with the control group (P < .0001). It was found that the mean EPO of the deceased was lower than the control group and the survived patient group (P = .035). Hepcidin levels were found to be significantly lower in the patient group (P < .0001). Hpt values were found to be significantly lower in the intubated group (P = .004) and the deceased group (P = .042). CONCLUSION: In our study, while serum iron and hepcidin levels decreased in patients diagnosed with COVID-19, we found that EPO and Hpt levels were significantly lower in critical and deceased patient groups. Our study is the first study examining EPO and Hpt levels in patients diagnosed with COVID-19.