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Microbiota composition might play a role in the pathophysiology and course of sepsis, and understanding its dynamics is of clinical interest. Invasive meningococcal disease (IMD) is an important cause of community-acquired serious infection, and there is no information regarding microbiota composition in children with meningococcemia. In this study, we aimed to evaluate the intestinal and nasopharyngeal microbiota composition of children with IMD. Materials and Methods: In this prospective, multi-center study, 10 children with meningococcemia and 10 age-matched healthy controls were included. Nasopharyngeal and fecal samples were obtained at admission to the intensive care unit and on the tenth day of their hospital stay. The V3 and V4 regions of the 16S rRNA gene were amplified following the 16S Metagenomic Sequencing Library Preparation. Results: Regarding the alpha diversity on the day of admission and on the tenth day at the PICU, the Shannon index was significantly lower in the IMD group compared to the control group ( p = 0.002 at admission and p = 0.001, on the tenth day of PICU). A statistical difference in the stool samples was found between the IMD group at Day 0 vs. the controls in the results of the Bray-Curtis and Jaccard analyses ( p = 0.005 and p = 0.001, respectively). There were differences in the intestinal microbiota composition between the children with IMD at admission and Day 10 and the healthy controls. Regarding the nasopharyngeal microbiota analysis, in the children with IMD at admission, at the genus level, Neisseria was significantly more abundant compared to the healthy children ( p < 0.001). In the children with IMD at Day 10, genera Moraxella and Neisseria were decreased compared to the healthy children. In the children with IMD on Day 0, for paired samples, Moraxella , Neisseria , and Haemophilus were significantly more abundant compared to the children with IMD at Day 10. In the children with IMD at Day 10, the Moraxella and Neisseria genera were decreased, and 20 different genera were more abundant compared to Day 0. Conclusions: We first found alterations in the intestinal and nasopharyngeal microbiota composition in the children with IMD. The infection itself or the other care interventions also caused changes to the microbiota composition during the follow-up period. Understanding the interaction of microbiota with pathogens, e.g., N. meningitidis , could give us the opportunity to understand the disease's dynamics.

Introduction  Pediatric traumatic brain injury (TBI) is a significant cause of death and long-term disability. There is a paucity of data on quality of life in survivors of pediatric TBI. The aim of this study is to determine the factors affecting the quality of life after TBI in children. Methods  Consecutively admitted 104 of 156 patients to the pediatric intensive care unit (PICU) with TBI between 1 month and 18 years were included in the study. Demographics were obtained from electronic records. Injury severity and mortality scores were calculated. The Pediatric Quality of Life Inventory (PedsQL) scale and Glasgow Outcome Scale (GOS) score were evaluated by interview with patient or the caregiving parents. The Rotterdam computed tomography (CT) score was calculated from the radiology images taken within the first 24 hours after admission to the emergency service. Results  Severe TBI, multiple trauma, intracranial hemorrhage from multiple sites, convulsions, high intracranial pressure, emergency operation on admission, and hypotension on admission were associated with low PedsQL values according to results of univariate analysis ( p  < 0.05). There was a negative correlation between PedsQL and GOS, mechanical ventilation duration, PICU length of stay (LOS), and hospital LOS. In the linear regression model made by considering the univariate analysis results, it was shown that Rotterdam CT score and PICU LOS are independent variables that determine low PedsQL score. PedsQL scores were lower in children ≥ 8 years of age and in those evaluated within the first year after discharge ( p  = 0.003). Conclusion  In pediatric TBI, Rotterdam CT score and PICU LOS were found as independent variables determining PedsQL score after discharge., Competing Interests: Conflict of Interest None declared., (Thieme. All rights reserved.)

Introduction: There have been some significant changes regarding healthcare utilization during the COVID-19 pandemic. Majority of the reports about the impact of the COVID-19 pandemic on diabetes care are from the first wave of the pandemic. We aim to evaluate the potential effects of the COVID-19 pandemic on the severity of diabetic ketoacidosis (DKA) and new onset Type 1 diabetes presenting with DKA, and also evaluate children with DKA and acute COVID-19 infection., Methods: This is a retrospective multi-center study among 997 children and adolescents with type 1 diabetes who were admitted with DKA to 27 pediatric intensive care units in Turkey between the first year of pandemic and pre-pandemic year., Results: The percentage of children with new-onset Type 1 diabetes presenting with DKA was higher during the COVID-19 pandemic ( p < 0.0001). The incidence of severe DKA was also higher during the COVID-19 pandemic ( p < 0.0001) and also higher among children with new onset Type 1 diabetes ( p < 0.0001). HbA1c levels, duration of insulin infusion, and length of PICU stay were significantly higher/longer during the pandemic period. Eleven patients tested positive for SARS-CoV-2, eight were positive for new onset Type 1 diabetes, and nine tested positive for severe DKA at admission., Discussion: The frequency of new onset of Type 1 diabetes and severe cases among children with DKA during the first year of the COVID-19 pandemic. Furthermore, the cause of the increased severe presentation might be related to restrictions related to the pandemic; however, need to evaluate the potential effects of SARS-CoV-2 on the increased percentage of new onset Type 1 diabetes., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Kiral, Kirel, Havan, Keskin, Karaoglan, Yildirim, Kangin, Talay, Urun, Altug, Kesici, Tufan, Kacmaz, Bozan, Azapagasi, Uysal Yazici, Ozturk, Yesilbas, Karaguzel, Kaya, Barlas, Duyu, Boyraz, Sevketoglu, Akcay, Hancili, Guven, Dursun, Ulgen Tekerek, Ozcifci, Yazici, Turanli, Kendirli, Kahveci, Yetimakman, Citak, Şik, Bingol, Aygun, Durak, Yilmaz, Bugrul, Sari, Tekguç, Albayrak, Yener, Agin, Soydan, Yildizdas, Dilek, Yalindag, Incekoy-Girgin, Alacakir, Tutunculer, Arslanaoglu, Aydin, Bilgin, Simsek and Dinleyici.)