Objectives: This study aimed to verify the enzymatic ethanol analysis method and compare the technique with headspace gas chromatography (HS/GC). Methods: The limit of the blank, limit of detection, and limit of quantification, precision, linearity, and accuracy of the enzymatic process were evaluated based on the data obtained. In addition, a method comparison was made between the enzymatic method and the HS/GC analysis method. Results: It was seen that the enzymatic method was linear in the range of 14–450 mg/dL, the coefficient of variation and bias values ranged between 0.5–1.09% and 4.52–9.78%, respectively. The quantitative accuracy was 2.13% and 2.23% at concentrations of 41.16 and 95.82 mg/dL, respectively. When the regression analysis was performed between the results obtained using the enzymatic alcohol dehydrogenase (ADH) and HS/GC methods, y=0.966x + 2.084 linear relationship formula and regression coefficient of r ² =0.9987, it was found that it showed a good agreement at a confidence interval of 5%. Conclusions: The findings showed that the enzymatic method had good linearity, excellent precision, and a high correlation with the higher-order comparator method, the HS/GC method, in the ethanol analysis.

In this study, our aim was to examine the diagnostic and prognostic significance of lymphocyte/C-reactive protein ratio (LCR), neutrophil/lymphocyte ratio (NLR) and D-dimer parameters in COVID-19 infection. The LCR, NLR, neutrophil count, mean platelet volume (MPV), C-reactive protein (CRP), and D-dimer parameters were evaluated retrospectively. This was a retrospective cohort study with 1000 COVID-19 positive and 1000 healthy control groups, all over the age of 18 years. Odds ratio (OR) and 95% confidence interval (CI) values were calculated for each parameter found to be statistically significant in the univariate and multivariate logistic regression models. Herein, 127 (12.7%) of the COVID-19(+) patients, whose data was included in this study, died. The neutrophil, MPV, CRP, D-dimer, and NLR values were higher in the COVID-19(+)/deceased group than in the COVID-19(+)/alive and control groups (p < 0.001, p < 0.001, p < 0.001, p < 0.001, p < 0.001). The lymphocyte and LCR values were lower in the COVID-19(+)/deceased group than in the COVID-19(+)/alive and control groups (p < 0.001, p < 0.001). Variables with statistically significance in predicting COVID-19 infection were lymphocyte, LCR, D-dimer, NLR, CRP, MPV, PLT, and neutrophil values. Statistically significant variables in predicting mortality due to COVID-19 were LCR, CRP, NLR, lymphocyte, D-dimer, neutrophil, and MPV values. A low LCR and high NLR are associated with the presence, prognosis, and mortality due to COVID-19. LCR and NLR parameters can thus be used in clinical monitoring to reduce morbidity and mortality rates.

Annexins are a large group of proteins occurring in numerous cell types. Annexins have roles in events such as coagulation inhibition, endocytosis, exocytosis, signal transduction, proliferation and programmed cell death. The association of annexins with numerous diseases has been reported. There are 12 annexin proteins in total and the association of annexin A3 (ANXA3) with numerous malignant tumor types, such as breast cancer, prostate cancer, lung cancer, stomach cancer and colon cancer, has been reported. Studies investigating the relationship between ANXA3 and breast cancer were analyzed in the present review and it was observed that ANXA3 is expressed at higher levels in breast cancer cells. Furthermore, high ANXA3 levels are a poor prognostic factor, increase the invasion ability of breast cancer cells and may be a novel therapeutic target.