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.

Background The first case of a novel coronavirus (COVID-19) infection was detected in Wuhan, fever and respiratory symptoms have been frequently reported in patients infected with this virus. Aim It was aimed to compare the symptoms of patients with COVID-19 positivity and patients without COVID-19 positivity hospitalized with suspicion of COVID-19. Methods Patients presenting to the Sakarya University Training and Research Hospital with suspicion of COVID-19 were included in the study. Samples were obtained from the patients and PCR tests were performed; the patients were grouped as COVID-19 positive and COVID-19 negative; these two groups were questioned for 15 symptoms and the results were compared. Results A total of 297 patients with suspicion of COVID-19 were included in the study. COVID-19 was positive in 143 patients and negative in 154 patients. The most common symptoms in the COVID-19 positive group were: cough (56.6%), weakness (56.6%), taste disorder (35.7%), myalgia (34.3%), and fever (33.6%); and in the COVID-19 negative group: cough (63%), weakness (45.5%), dyspnea (29.9%), headache (27.3%) and fever (24.7%). When these two groups were compared, taste disorder, smell disorder and diarrhea were significantly higher in the COVID-19 positive group (p = <0,00001, p = 0,00001 and p = 0,02). Conclusion Our study showed that taste and smell disorders and diarrhea were important markers in COVID-19 infection.

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To evaluate the possible effects of SARS-CoV-2 infection on retinal nerve fiber layer (RNFL) and ganglion cell complex layer (GC-IPL) thicknesses. Method: Patients who had been infected by SARS-CoV-2 and hospitalized because of severe pneumonia were found out from the database of COVID-19 pandemic hospital and formed the patient group. The control group was composed of non-COVID-19 age-matched subjects. The mean and fragmented RNFL and GC-IPL thicknesses were measured by optical coherence tomography (OCT), and compared between two groups, statistically. Results: Patient group 34 eyes of 34 subjects (18 male, 16 female) and 31 eyes of 31 subjects (14 male, 17 female) in the control group were enrolled. The mean age and gender were not statistically different between groups (p:0.56, 0,57, respectively).A statistically significant difference was not found between groups in terms of mean, superior, inferior, temporal, nasal RNFL thicknesses and mean superior, inferior, temporal, and nasal GC-IPL thicknesses. Conclusion:The mean and fragmented RNFL and GC-IPL thicknesses measured by OCT were not statistically different in patients who had moderate disease course and recovered from COVID-19 infection.

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