Predictive role of FAR ratio in Covid-19 patients (preprint)

Objective: No effective treatment has yet been found for SARS-cov-2, which caused a pandemic outbreak in 2019. It is crucial to detect the progression of Covid-19 in patients as early as possible. Fibrinogen to albumin ratio (FAR) has been used as a new inflammatory marker. We aimed to find out whether the use of the FAR ratio as a predictor of mortality in Covid-19 patients provides clinical benefit. Materials and Methods: Data from 590 patients with Covid-19 from 15/03/2020 to 15/01/2021 in medicine wards and intensive care units (ICU) were retrospectively analyzed. Demographic data and other laboratory markers were collected from the electronic medical records. Relationship between FAR ratio was investigated between patients in the survivor/non-survivor patients. Findings: The mean FAR levels in patients who were non survivor was 24.44±30.3 (n:272 and 11.29±6.29 (n:275) (p:0.000) in patients survivor COVID-19 infection. In ROC curve for FAR, the threshold FAR that may pose a risk for mortality was determined as 13.84 ((AUC: 0.808(0.771-0.844)); 74.9% Sensitivity, 74.6% Specificity; p:0.000 )). Result: As a result of this study, increased FAR were found to be important markers in determining the mortality levels in Covid-19 patients. What is already known about FAR ratio: The fibrinogen albumin ratio is a value that has been used to determine the prognosis, especially in malignancies. [32] In a recent study 91 Covid-19 patients were analyzed 22 patients with severe disease higher FAR ratio compare to mild disaese [36] What does this article add about FAR ratio in Covid-19 patients: It has been concluded that the FAR ratio, which is used in diseases such as malignancy, hypertension, and coronary syndrome as a marker of disease progression, can be used as a mortality indicator in Covid-19

IS THERE ASSOCIATION BETWEEN MIDKINE LEVELS AND PROGNOSIS OF COVID-19 DİSEASE? (preprint)

Aim: The aim of this study was to measure plasma midkine levels in patients with COVID-19 and to assess its clinical significance. Material and Method: 88 patients followed in our hospital with a diagnosis of COVID-19 were included in the study. Demographic characteristics, clinical and laboratory data of the patients were recorded, and the relationship between midkine level and prognosis and other parameters were investigated. Results: Of the 88 patients included in the study, 43 (48.9%) were female and 45 (51.1%) were male. 24 (27%) of our cases were died. The mean age of non-survivals was 70 ± 12.3 and the survivals were 61.9 ± 18.2 years. Mortality predictors due to COVID-19 in group 2 patients were significantly higher than those in group 2 (p <0.05). The median (IR) value of the MK level was 152.5±125 pg/ml in all patients, 143±149 pg/ml in survivors and 165.5±76 pg/ml in those who died (p= 0.546). The difference between these two groups compared according to mortality was not statistically significant The area under the ROC curve was found to be 0.542 (95% CI 0.423-0.661, p= 0.546). Conclusion: MK is not a biomarker that can reinforce known predictors of mortality in COVID-19 patients and can provide better predictions of mortality.