Aim: Our study was designed on the hypothesis that homocysteine levels are a prognostic parameter that can predict the severity of COVID-19 disease. Materials & methods: 117 COVID-19 patients and 34 non COVID-19 individuals were included in the study. Receiver operating characteristic (ROC) analysis was performed for homocysteine, D-dimer and monocyte/lymphocyte ratio (MLR) levels. Results: According to the ROC analysis, in COVID-19 patients group, Area under curve (AUC) values were 0.835 for homocysteine, 0.859 for D-dimer and 0.882 for MLR. According to the ROC analysis, in which homocysteine, MLR and D-dimer parameters were evaluated together, AUC values were 0.951 in the mild disease group, 1,000 in severe disease group and 0.967 in COVID-19 patients group. Conclusion: It was concluded that homocysteine level is an important parameter in the follow-up of COVID-19 disease.

This study aimed to examine the relationship between Hb A 1c levels and the clinical course of coronavirus-19 (COVID-19) patients. Sixty-six COVID-19(+) patients with high Hb A 1c and 46 with average Hb A 1c and 30 COVID-19(–) patients with average Hb A 1c were included. Hb A 1c levels and parameters examined in COVID-19(+) patients were compared between groups, and correlation analysis was performed between these parameters and Hb A 1c levels. The effect of Hb A 1c levels on intensive care unit (ICU) admission and mortality rate in COVID-19 patients was analyzed with the χ 2 test. It was observed that hemoglobin (Hb) and arterial oxygen saturation (SaO 2 ) levels of the COVID-19 (+) groups was lower than the COVID-19 (–) group, while ferritin, D-dimer, procalcitonin (PCT), and C-reactive protein (CRP) levels were higher. The COVID-19 (+) group with high Hb A 1c had higher lactate dehydrogenase (LDH), PCT and D-dimer levels than the other two groups, while Hb, partial arterial oxygen pressure (PaO 2 ) levels were lower. The Hb A 1c levels of the COVID-19 (+) groups were positively correlated with absolute neutrophil count (ANC), LDH, PCT and (K + ) levels, while negatively correlated with Hb and PaO 2 levels. Hb A 1c was found to be associated with the inflammation process, coagulation disorders and low PaO 2 in COVID-19 patients. The COVID-19 patients with high Hb A 1c levels had a higher mortality rate than other COVID-19 patients. Using Hb A 1c measurements with other prognostic markers would contribute to the patient’s risk of death assessment.

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Thrombotic and microangiopathic effects have been reported in COVID‐19 patients. This study examined the contribution of the hereditary thrombophilia factors Prothrombin (FII) and Factor V Leiden (FVL) genotypes to the severity of COVID‐19 disease and the development of thrombosis. This study investigated FII and FVL alleles in a cohort of 9508 patients (2606 male and 6902 female) with thrombophilia. It was observed that 930 of these patients had been infected by SARS‐CoV‐2 causing COVID‐19. The demographic characteristics of the patients and their COVID‐19 medical history were recorded. Detailed clinical manifestations were analyzed in a group of cases (n = 4092). This subgroup was age and gender‐matched. FII and FVL frequency data of healthy populations without thrombophilia risk were obtained from Bursa Uludag University Medical Genetic Department's Exome Databank. The ratio of males (31.08%; 27.01%) and the mean age (36.85 ± 15.20; 33.89 ± 14.14) were higher among COVID‐19 patients compared to non‐COVID‐19 patients. The prevalence of FVL and computerized tomography (CT) positivity in COVID‐19 patients was statistically significant in the thrombotic subgroup (p < 0.05). FVL prevalence, CT positivity rate, history of thrombosis, and pulmonary thromboembolism complication were found to be higher in deceased COVID‐19 patients (p < 0.05). Disease severity was mainly affected by FVL and not related to genotypes at the Prothrombin mutations. Overall, disease severity and development of thrombosis in COVID‐19 are mainly affected by the variation within the FVL gene. Possible FVL mutation should be investigated in COVID‐19 patients and appropriate treatment should be started earlier in FVL‐positive patients.

Background and objective: The pre-analytical rejection rate is the proportion of samples rejected at the stage that includes the initial procedures of the testing process performed outside the laboratory walls by healthcare professionals. This study aimed to evaluate the pre-analytical rejection rate by considering the health status of the patients and the sample types and to examine the measures that can be taken against it.  Methods: The data of the samples that came to the laboratory for analysis for one year were included. These data were categorized according to sample types in complete blood count, biochemistry, hormones, urine, blood gases, coagulation, erythrocyte sedimentation rate (ESR), glycosylated hemoglobin (HbA1c). It was also categorized by emergency, outpatient, inpatient, and critically ill status. Considering the health status of the patients, the pre-analytical rejection rates determined in these sample types were compared.  Results: Complete blood count (0.40%) in emergency patients, HbA1c (0.78%) in outpatients, biochemistry (0.62%) in inpatients, hormones (0.29%), urine (6.19%) blood gases (1.03%), coagulation (1.26%), ESR (3.23%) in critical patients, sample types had the highest pre-analytical rejection rate.  Conclusions: The source of causes that affect pre-analytical rejection rates, such as hemolyzed sample, clotted sample, or insufficient sample, may be due to the patient's bed rest, critical or emergency. An underlying disease, treatment, or frequent phlebotomy may also be a factor. The source of the causes that affect the pre-analytical rejection rates, such as incorrect request, incorrect registration, and incorrect tube, can usually be attributed to non-laboratory healthcare personnel.