Etiology and Risk Factors for Admission to the Pediatric Intensive Care Unit in Children With Encephalitis in a Developing Country.

OBJECTIVE: To describe a cohort of pediatric patients with encephalitis and their risk factors for admission to the pediatric intensive care unit (PICU). STUDY DESIGN: Children (<18 years old), with encephalitis evaluated by conventional microbiology and syndromic, multiplex test in cerebrospinal fluid (CSF) between July 2017 and July 2020, were recruited from 14 hospitals that comprise the Colombian Network of Encephalitis in Pediatrics. Multivariate analyses were used to evaluate risk factors associated with the need for PICU admission. RESULTS: Two hundred two children were included, of which 134 (66.3%) were male. The median age was 23 months (IQR 5.7-73.2). The main etiologies were bacteria (n = 55, 27%), unspecified viral encephalitis (n = 44, 22%) and enteroviruses (n = 27, 13%), with variations according to age group. Seventy-eight patients (38.6%) required management in the PICU. In multivariate analysis, factors associated with admission to the PICU were the presence of generalized seizures (OR 2.73; 95% CI: 1.82-4.11), status epilepticus (OR 3.28; 95% CI: 2.32-4.62) and low leukocyte counts in the CSF (OR 2.86; 95% CI: 1.47-5.57). Compared with enterovirus, bacterial etiology (OR 7.50; 95% CI: 1.0-56.72), herpes simplex encephalitis (OR 11.81; 95% CI: 1.44-96.64), autoimmune encephalitis (OR 22.55; 95% CI: 3.68-138.16) and other viral infections (OR 5.83; 95% CI: 1.09-31.20) increased the risk of PICU admission. CONCLUSIONS: Data from this national collaborative network of pediatric patients with encephalitis allow early identification of children at risk of needing advanced care and can guide the risk stratification of admission to the PICU.

Factors Associated With Hospitalization or Intensive Care Admission in Children With COVID-19 in Latin America.

Background: Limited data is available from low-middle and upper-middle income countries of the factors associated with hospitalization or admission to pediatric intensive care unit (PICU) for children with COVID-19. Objective: To describe the factors associated with hospitalization or PICU admission of children with COVID-19 in Latin America. Method: Multicenter, analytical, retrospective study of children reported from 10 different Latin American countries to the Latin-American Society of Pediatric Infectious Diseases (SLIPE-COVID) research network from June 1, 2020, and February 28, 2021. Outpatient or hospitalized children <18 years of age with COVID-19 confirmed by polymerase chain reaction or antigen detection from the nasopharynx were included. Children with multisystem inflammatory syndrome in children (MIS-C) were excluded. Associations were assessed using univariate and multivariable logistic regression models. Results: A total of 1063 children with COVID-19 were included; 500 (47%) hospitalized, with 419 (84%) to the pediatric wards and 81 (16%) to the ICU. In multivariable analyses, age <1 year (Odds Ratio [OR] 1.78; 95% CI 1.08-2.94), native race (OR 5.40; 95% CI 2.13-13.69) and having a co-morbid condition (OR 5.3; 95% CI 3.10-9.15), were associated with hospitalization. Children with metabolic or endocrine disorders (OR 4.22; 95% CI 1.76-10.11), immune deficiency (1.91; 95% CI 1.05-3.49), preterm birth (OR 2.52; 95% CI 1.41-4.49), anemia at presentation (OR 2.34; 95% CI 1.28-4.27), radiological peribronchial wall thickening (OR 2.59; 95% CI 1.15-5.84) and hypoxia, altered mental status, seizures, or shock were more likely to require PICU admission. The presence of pharyngitis (OR 0.34; 95% CI 0.25-0.48); myalgia (OR 0.47; 95% CI 0.28-0.79) or diarrhea (OR 0.38; 95% CI 0.21-0.67) were inversely associated with hospital admission. Conclusions: In this data analysis reported to the SLIPE research network in Latin America, infants, social inequalities, comorbidities, anemia, bronchial wall thickening and specific clinical findings on presentation were associated with higher rates of hospitalization or PICU admission. This evidence provides data for prioritization prevention and treatment strategies for children suffering from COVID-19.