Aim: In this study, the roles of biomarkers from a peripheral blood sample in the diagnosis of Coronavirus Disease of 2019 (COVID-19) patients who have visited the emergency room have been evaluated. Materials & methods: Peripheral blood parameters, systemic inflammatory index (SII), neutrophil lymphocyte ratio (NLR) and platelet lymphocyte ratio were compared in patients with and without confirmed COVID-19 infection. Results: Comparisons made according to real-time PCR test results revealed that while no statistically significant difference was observed between test groups (negative-positive) regarding lymphocyte and platelet lymphocyte ratio values (p > 0.05), a statistically significant difference (p < 0.05) was found between the test groups regarding platelet, hemoglobin, leukocyte, neutrophil, NLR and SII values. Conclusion: Leukocyte, neutrophil, platelet count, NLR and SII values can be used in the diagnosis of COVID-19.

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Background: Trauma severity scoring systems are routinely used to monitor trauma patient outcomes. Yet, the most accurate scoring system remains an elusive target. Objective: We aim to compare trauma severity scales (ISS, NISS, RTS, TRISS, and BIG) in multitrauma patients and investigate BIG as one of the new trauma severity scoring systems. Methods: The demographic data of the patients, vital signs, injury mechanisms, body regions exposed to trauma, final diagnosis, the injury severity scales—Injury Severity Score (ISS), New Injury Severity Score (NISS), Revised Trauma Score (RTS), base deficit, international normalized ratio, and Glasgow Coma Scale (BIG), and Trauma and Injury Severity Score (TRISS)—the length of stay in hospital, and the progress of the patients were examined. Results: A total of 426 cases were included in the study. The best performing score in determining mortality was TRISS (area under the curve [AUC]: 0.93, sensitivity 97.1% and specificity 76.7%). This was followed by the NISS, BIG, ISS, and RTS, respectively. For the prediction of intensive care unit admission, the NISS was the most successful with an AUC value of 0.81. There was a significant relationship in terms of the length of stay in all trauma scores (p < .05). Conclusions: The most successful score in predicting mortality in trauma patients was the TRISS, whereas the NISS was the most successful in predicting intensive care unit admission. The newly developed BIG score can be used as a strong scoring method for predicting prognosis in trauma patients.

Aim of this study is to investigate the course of coronavirus disease 2019 (COVID-19), in our cohort of familial Mediterranean fever (FMF) patients in means of mortality, admission to hospital and/or intensive care unit and length of hospital stay.A retrospective cohort was formed from patients who have previously been followed with a diagnosis of FMF. Patients of this cohort were retrospectively evaluated for a positive severe acute respiratory syndrome-coronavirus 2 (SARS-CoV 2) polymerized chain reaction (PCR) test result and information regarding hospitalisation, intensive care unit admission and mortality were collected from medical records.Out of a total 496 FMF patients, 34 were detected to have a positive SARS-CoV 2 PCR test. Eighty-five point three percent of these patients were under colchicine treatment and 17.6% were under interleukin (IL)—1 inhibitor treatment. Eight of the 34 patients (23.9%) were found to be hospitalized, one of them was admitted to the intensive care unit and died thereafter (2.9%). An increasing trend in the frequency of comorbid diseases (presence of at least one comorbidity 64.7% in all patients vs 75.0% in hospitalized patients) and IL-1 inhibitor usage (17.6% in all patients vs 50.0% in hospitalized patients) was observed in hospitalized patients.Rates of comorbid diseases and IL-1 inhibitor use for FMF were observed to be increased in FMF patients hospitalized for COVID-19.