SUMMARY BACKGROUND Easily accessible, inexpensive, and widely used laboratory tests that demonstrate the severity of COVID-19 are important. Therefore, in this study, we aimed to investigate the relationship between mortality in COVID-19 and platelet count, Mean Platelet Volume (MPV), and platelet distribution width. METHODS In total, 215 COVID-19 patients were included in this study. The patients were divided into two groups. Patients with room air oxygen saturation < 90% were considered as severe COVID-19, and patients with ≥90% were considered moderate COVID-19. Patient medical records and the electronic patient data monitoring system were examined retrospectively. Analyses were performed using the SPSS statistical software. A p-value <0.05 was considered significant. RESULTS The patients’ mean age was 64,32 ± 16,07 years. According to oxygen saturation, 81 patients had moderate and 134 had severe COVID-19. Our findings revealed that oxygen saturation at admission and the MPV difference between the first and third days of hospitalization were significant parameters in COVID-19 patients for predicting mortality. While mortality was 8.4 times higher in patients who had oxygen saturation under 90 % at hospital admission, 1 unit increase in MPV increased mortality 1.76 times. CONCLUSION In addition to the lung capacity of patients, the mean platelet volume may be used as an auxiliary test in predicting the mortality in COVID-19 patients.

The purpose of this study is to evaluate serum Pentraxin-3 (PTX-3) levels in Sars-CoV-2 virus infection (COVID-19) patients and to investigate whether PTX-3 predicts the disease prognosis. This study was conducted on 88 confirmed COVID-19 patients who were hospitalized due to symptomatic pneumonia between April 15 2020 and August 15 2020. The patients were divided into two groups as survived patients and non-survived patients. Both groups were compared according to demographic features, comorbid conditions and measurement of the PTX-3 and other laboratory parameters of the patients. Of 88 patients with COVID-19, 59 (67%) were discharged with complete cure and 29 (33%) resulted in death. 46 (52.3%) of the patients were men. PTX-3 median value [IQR] was 3.66 ng/mL (0.9-27.9) in all patients, 3.3 ng/mL (0.9-27.9) in survivors and 3.91 ng/mL (1.9-23.2) in non-survivors which was significantly higher (p= 0.045). As a receiver operating characteristic curve analysis the cut-off value of PTX-3 for predicting mortality in patients was 3.73 with 65% sensitivity and 65% specificity (AUC: 0.646, 95% CI: 0.525-0.767, P= 0.045). Also, we found significant cut-off values with respect to D-Dimer, D-Dimer/ PTX-3, high-sensitivity troponin, high-sensitivity troponin/ PTX-3, lymphocyte, PTX-3/ lymphocyte, procalcitonin, procalcitonin/ PTX-3, CRP, and CRP/ PTX-3 (P<0.05). In this study, as far as we know, for the first time, we have shown PTX-3 as the new mortality biomarker for COVID-19 disease.

SUMMARY AIM The aim of this study is to analyze the prognostic significance of ABO and Rh blood group antigens along with various parameters in patients followed-up with the diagnosis of COVID-19. METHODS We evaluated 397 patients who were follow-up and treated due to COVID-19 infections. The ages, genders, chronic diseases, ABO and Rh blood group antigens, admission rates to Intensive Care Units (ICU), and mortality rates of the patients were analyzed. FINDINGS The mean age of the 397 patients with COVID-19 was 47±17 years. In the blood group analysis of the patients, A Rh-positive (A +) was the most frequently seen blood type (176 patients, 44.3%) followed by O Rh-positive (0 +) (109 patients, 27,5%); 38 patients were Rh negative (Rh -) (9,6%). 53 of the patients (13,4%) were followed in ICU and 29 patients died (7,3%). Neither mortality nor admission to ICU was seen for Rh – group. The comparison of Rh groups concerning the need for ICU admission revealed a significantly high rate of ICU admission in the Rh + group (p=0,011), while no significant relationship was found between mortality and Rh antigen (p=0,069). CONCLUSION The most frequently seen blood type among COVID-19 patients was A +. The Rh + blood group was found in all cases who were admitted to ICU and had a death outcome. The Rh + blood group was found in a significantly high number of patients who were admitted to ICU, while no significant relationship was found between mortality and Rh blood group.

What is known and objectives In November 2019, several patients were diagnosed with severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) in Wuhan, China. So far, there are no specific treatments with proven high efficacy in patients with SARS‐CoV‐2. Presently, several drugs, such as hydroxychloroquine, ribavirin, favipiravir (FVP), lopinavir/ritonavir (LPV/r), remdesivir and oseltamivir, have been suggested as effective treatments for SARS‐CoV‐2. The aim of this study was to describe the clinical experience with FPV and LPV/r in critically ill patients with COVID‐19 at Sakarya University Education and Research Hospital. Methods The study included 107 consecutive patients who had a laboratory confirmation of COVID‐19 and were admitted to the intensive care unit (ICU) between 19 March and 19 May 2020. Follow‐up continued through 30 May 2020 when the last observed patients were discharged. Results and discussion Of the 107 patients, 65 received FPV (Group FPV) and 42 received LPV/r (Group LPV/r). The two groups were similar in terms of demographic data and clinical findings. 43 (66.2%) of the 65 patients in the FPV group and 23 (54.8%) of the 42 patients in the LPV/r group died (p = 0.237). The median ICU stay was 6.6 (IQR, 3–10) days in the FPV group and 9 (IQR, 6–16) days in the LPV/r group, which was a statistically significant difference (p = 0.010). What is new and conclusion The length of hospital stay was significantly lower in the FVP group compared to the LPV/r group among patients who were discharged from the ICU. Although the analysis was done with a limited number of patients and the observed difference in mortality rate is of some concern, FVP treatment may be more beneficial than LPV/r in terms of effective use in the ICU.

SUMMARY BACKGROUND: The COVID-19 pandemic has affected the entire world, posing a serious threat to human health. T cells play a critical role in the cellular immune response against viral infections. We aimed to reveal the relationship between T cell subsets and disease severity. METHODS: 40 COVID-19 patients were randomly recruited in this cross-sectional study. All cases were confirmed by quantitative RT-PCR. Patients were divided into two equivalent groups, one severe and one nonsevere. Clinical, laboratory and flow cytometric data were obtained from both clinical groups and compared. RESULTS: Lymphocyte subsets, CD4+ and CD8+ T cells, memory CD4+ T cells, memory CD8+ T cells, naive CD4+ T cells, effector memory CD4+ T cells, central memory CD4+ T cells, and CD3+CD4+ CD25+ T cells were significantly lower in severe patients. The naive T cell/CD4 + EM T cell ratio, which is an indicator of the differentiation from naive T cells to memory cells, was relatively reduced in severe disease. Peripheral CD4+CD8+ double-positive T cells were notably lower in severe presentations of the disease (median DP T cells 11.12 µL vs 1.95 µL; p< 0.001). CONCLUSIONS: As disease severity increases in COVID-19 infection, the number of T cell subsets decreases significantly. Suppression of differentiation from naive T cells to effector memory T cells is the result of severe impairment in adaptive immune functions. Peripheral CD4+CD8+ double-positive T cells were significantly reduced in severe disease presentations and may be a useful marker to predict disease severity.