SARS-CoV-2 acute bronchiolitis in hospitalized children: Neither frequent nor more severe.

INTRODUCTION: Endemic coronaviruses have been found in acute bronchiolitis, mainly as a coinfecting virus. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been responsible for respiratory illness in hospitalized children. The characteristics of patients with bronchiolitis have not been extensively described. METHODS: Cross-sectional study of patients with bronchiolitis and SARS-CoV-2 infection enrolled in a prospective multicenter cohort of children hospitalized with COVID-19 in Spain from March 1, 2020 to February 28, 2021. RESULTS: Twelve of 666 children infected with SARS-CoV-2 who required hospital admission met the diagnostic criteria for bronchiolitis (1.8%). Median age was 1.9 months (range: 0.4-10.1). Six cases had household contact with a confirmed or probable COVID-19 case. Main complaints were cough (11 patients), rhinorrhea (10), difficulty breathing (8), and fever (8). Eleven cases were classified as mild or moderate and one as severe. Laboratory tests performed in seven patients did not evidence anemia, lymphopenia, or high C-reactive protein levels. Chest X-rays were performed in six children, and one case showed remarkable findings. Coinfection with metapneumovirus was detected in the patient with the most severe course; Bordetella pertussis was detected in another patient. Seven patients required oxygen therapy. Albuterol was administered in four patients. One patient was admitted to the pediatric intensive care unit. Median length of admission was 4 days (range: 3-14). No patient died or showed any sequelae at discharge. Two patients developed recurrent bronchospasms. CONCLUSION: SARS-CoV-2 infection does not seem to be a main trigger of severe bronchiolitis, and children with this condition should be managed according to clinical practice guidelines.

A Bayesian Model to Predict COVID-19 Severity in Children.

BACKGROUND: We aimed to identify risk factors causing critical disease in hospitalized children with COVID-19 and to build a predictive model to anticipate the probability of need for critical care. METHODS: We conducted a multicenter, prospective study of children with SARS-CoV-2 infection in 52 Spanish hospitals. The primary outcome was the need for critical care. We used a multivariable Bayesian model to estimate the probability of needing critical care. RESULTS: The study enrolled 350 children from March 12, 2020, to July 1, 2020: 292 (83.4%) and 214 (73.7%) were considered to have relevant COVID-19, of whom 24.2% required critical care. Four major clinical syndromes of decreasing severity were identified: multi-inflammatory syndrome (MIS-C) (17.3%), bronchopulmonary (51.4%), gastrointestinal (11.6%), and mild syndrome (19.6%). Main risk factors were high C-reactive protein and creatinine concentration, lymphopenia, low platelets, anemia, tachycardia, age, neutrophilia, leukocytosis, and low oxygen saturation. These risk factors increased the risk of critical disease depending on the syndrome: the more severe the syndrome, the more risk the factors conferred. Based on our findings, we developed an online risk prediction tool (https://rserver.h12o.es/pediatria/EPICOAPP/, username: user, password: 0000). CONCLUSIONS: Risk factors for severe COVID-19 include inflammation, cytopenia, age, comorbidities, and organ dysfunction. The more severe the syndrome, the more the risk factor increases the risk of critical illness. Risk of severe disease can be predicted with a Bayesian model.