There have been a limited number of studies on coronavirus disease 2019 (COVID‐19) in children. In this study, we aimed to investigate the demographic, clinical, and laboratory features of COVID‐19 and to identify the role of mean platelet volume (MPV) in predicting the prognosis in children. A single‐center retrospective study, including 251 confirmed and 65 suspected COVID‐19 cases, was conducted between March 11, 2020, and December 11, 2020. In the confirmed COVID‐19 group, 48 (19.1%) patients were asymptomatic, 183 (72.9%) mild, 16 (6.4%) moderate, 1 (0.4%) severe, and 3 were (1.2%) critically ill. Confirmed COVID‐19 patients had significantly lower mean values of white blood cell (WBC), absolute neutrophil count, absolute lymphocyte count, platelet, and hemoglobin (p < .001). However, there was no significant difference in MPV levels between the two groups (p = .894). C‐reactive protein (CRP), procalcitonin, fibrinogen, and NT‐pro‐BNP mean values were significantly lower in confirmed COVID‐19 cases than suspected cases (p < .001). A total of 55 (21.9%) patients required hospitalization due to COVID‐19, and MPV, WBC, CRP, procalcitonin, D‐dimer, and NT‐pro‐BNP were statistically higher in hospitalized patients than those in outpatients. The multivariate analysis of confirmed COVID‐19 cases according to the severity of disease showed that lymphopenia and higher levels of fibrinogen significantly associated with severe clinical symptoms. Decision tree analysis showed that the most powerful predictor of hospitalization due to COVID‐19 was the D‐dimer (p < .001). MPV values are not associated with COVID‐19 disease severity. However, MPV can be used with other parameters such as WBC, CRP, procalcitonin, D‐dimer, and NT‐pro‐BNP to predict hospitalization.

Background/Aims: Despite surgical advances in liver transplantation and effective prophylactic strategies, posttransplant infections are the most important cause of morbidity and mortality. Diagnosis and management of infections because of developing immunosuppression is difficult and adversely affects mortality. This study aimed to review bacterial and fungal infections in patients after liver transplantation and to reveal the resistance rates. Materials and Methods: A total of 107 patients who underwent liver transplantation between January 2017 and February 2018 were evaluated retrospectively with regard to demographic characteristics, causes of transplantation, conditions that may lead to infection, postoperative infections, pathogens, and resistance patterns. Results: Of the 107 patients who underwent liver transplantation, 48 (44.8%) had an infection. Bacterial infections were detected in 41% of the patients, and fungal infections were found in 13%. When we compared living and cadaveric transplants in terms of infection development, these rates were found to be 53% and 33%, respectively (p=0.034). No statistically significant results could be obtained when evaluating conditions such as sex, presence of underlying primary disease, Model for End-Stage Liver Disease MELD score, diabetes status, total parenteral nutrition, and risk factors for infection. Conclusion: After liver transplantation, infections are often seen in the first month of the postoperative period. Knowing the most common pathogens and resistance states in this process reduces infection-related deaths by providing appropriate treatment regimens at the right time.