Utility of the Global Respiratory Severity Score for predicting the need for respiratory support in infants with respiratory syncytial virus infection.

BACKGROUND: Respiratory syncytial virus (RSV) is a common cause of acute respiratory infection in children. One of the most important strategies for treatment of an RSV infection is to decide whether the patient needs respiratory support. This study aimed to assess the validity and clinical benefit of the Global Respiratory Severity Score (GRSS) and the Wang bronchiolitis severity score (WBSS) for clinical decision-making regarding providing respiratory support (high-flow nasal cannula, nasal continuous positive airway pressure, or ventilator) in infants with an RSV infection. STUDY DESIGN AND METHODS: This retrospective cohort study enrolled 250 infants aged under 10 months who were admitted to Atsugi City Hospital with an RSV infection between January 2012 and December 2019. The utility of these scores was evaluated for assessing the need for respiratory support through decision curve analysis by calculating the optimal GRSS and WBSS cut-offs for predicting the need for respiratory support. RESULTS: Twenty-six infants (10.4%) received respiratory support. The optimal cut-offs for the GRSS and the WBSS were 4.52 and 7, respectively. Decision curve analysis suggested that the GRSS was a better predictive tool than the WBSS if the probability of needing respiratory support was 10-40%. CONCLUSIONS: The GRSS was clinically useful in determining the need for respiratory support in infants aged under 10 months with an RSV infection.

Body temperature predicts recurrent febrile seizures in the same febrile illness.

BACKGROUND: The incidence of recurrent febrile seizures during the same febrile illness (RFS) is 14-24%. A pilot study found that body temperature and male sex were predictors of RFS. This study sought to validate body temperature as a predictor of RFS, calculate the optimal cut-off body temperature for predicting RFS, and identify the other predictors of RFS. METHODS: This prospective cohort study enrolled children with febrile seizures aged 6-60 months who visited the emergency department at Atsugi City Hospital, Japan, between March 1, 2019, and February 29, 2020. Children who had multiple seizures, diazepam administration before the emergency department visit, seizures lasting >15 min, underlying diseases, or who could not be followed up were excluded. The optimal cut-off body temperature was determined using a receiver-operating characteristic curve. RESULTS: A total of 109 children were enrolled, of whom 13 (11.9%) had RFS. A lower body temperature was significantly associated with RFS (P = 0.02). The optimal cut-off body temperature for predicting RFS was 39.2 °C. Children with RFS also had significantly lower C-reactive protein and blood glucose levels (P = 0.01 and 0.047, respectively), but none of the other factors considered were significantly associated with RFS. CONCLUSIONS: This large prospective study confirmed that body temperature is a predictor of RFS. The optimal cut-off body temperature for predicting RFS was 39.2 °C. Low C-reactive protein level and blood glucose level might be predictors of RFS, but this needs to be confirmed in prospective multicenter studies.