ABSTRACT
OBJECTIVES: To investigate the changes in the disease spectrum among hospitalized children in the pediatric intensive care units (PICU) within 2 years before and after the outbreak of coronavirus disease 2019 (COVID-19). METHODS: The related data on disease diagnosis were collected from all children who were hospitalized in the PICU of Affiliated Hospital of Jining Medical College from January 2018 to December 2019 (pre-COVID-19 group) and from January 2020 to December 2021 (post-COVID-19 group). A statistical analysis was performed for the disease spectrum of the two groups. RESULTS: There were 2 368 children in the pre-COVID-19 group and 1 653 children in the post-COVID-19 group. The number of children in the post-COVID-19 group was reduced by 30.19% compared with that in the pre-COVID-19 group. There was a significant difference in age composition between the two groups (P<0.05). The top 10 diseases in the pre-COVID-19 group by number of cases were respiratory diseases, neurological diseases, sepsis, critical illness, circulatory system diseases, severe neurosurgical diseases, digestive system diseases, unintentional injuries, endocrine system diseases, and tumors. The top 10 diseases in the post-COVID-19 group by number of cases were respiratory diseases, neurological diseases, sepsis, circulatory system diseases, unintentional injuries, endocrine system diseases, severe neurosurgical diseases, acute abdomen, trauma surgical diseases, and digestive system diseases. The proportions of respiratory diseases, critical illness and severe neurosurgical diseases in the post-COVID-19 group were lower than those in the pre-COVID-19 group (P<0.05), while the proportions of unintentional injuries, acute abdomen, endocrine system diseases, trauma surgical diseases and sepsis were higher than those in the pre-COVID-19 group (P<0.05). CONCLUSIONS: COVID-19 epidemic has led to a significant reduction in the number of children admitted to the PICU, and there are significant changes in the disease spectrum within 2 years before and after the outbreak of COVID-19. Relevant prevention and control measures taken during the COVID-19 epidemic can reduce the incidence of respiratory diseases, neurological diseases, and other critical illness in children, but it is necessary to strengthen the prevention of unintentional injuries and chronic disease management during the epidemic.
Subject(s)
COVID-19 , Epidemics , Nervous System Diseases , Sepsis , Child , Humans , COVID-19/epidemiology , Critical Illness , Intensive Care Units, Pediatric , Sepsis/epidemiology , Retrospective StudiesABSTRACT
BACKGROUND: The latest sepsis definition includes both infection and organ failure, as evidenced by the sequential organ failure assessment (SOFA) score. However, the applicability of the pediatric SOFA score (pSOFA) is not yet determined. This study evaluated the effectiveness of both pSOFA and system inflammatory reaction syndrome (SIRS) scores in predicting sepsis-related pediatric deaths. METHODS: This is a retrospective multi-center cohort study including hospitalized patients <18 years old with diagnosed or not-yet-diagnosed infections. Multivariate analyses were carried out to evaluate risk factors for in-hospital mortality. According to Youden index (YI), three sub-categories of pSOFA were screened out and a new simplified pSOFA score (spSOFA) was formed. The effectiveness and accuracy of prediction of pSOFA, SIRS and spSOFA was retrieved from the area under the receiver operating characteristic curve (AUROC) and Delong's test. RESULTS: A total of 1,092 participants were eligible for this study, and carried a 23.4% in-hospital mortality rate. The 24-h elevated pSOFA score (24 h-pSOFA), bloodstream infection, and mechanical ventilation (MV) requirement were major risk factors associated with sepsis-related deaths. The AUROC analysis confirmed that the spSOFA provided good predictive capability in sepsis-related pediatric deaths, relative to the 24 h-pSOFA and SIRS. CONCLUSIONS: The pSOFA score performed better than SIRS in diagnosing infected children with high mortality risk. However, it is both costly and cumbersome. We, therefore, proposed spSOFA to accurately predict patient outcome, without the disadvantages. Nevertheless, additional investigations, involving a large sample population, are warranted to confirm the conclusion of this study.