Importance of Respiratory Syncytial Virus as a Predictor of Hospital Length of Stay in Bronchiolitis

Abstract

BackgroundBronchiolitis is the leading cause of hospitalization in children. Estimate potentially preventable variables that impact the length of hospital stay are a priority to reduce the costs associated with this disease.ObjectiveThis study aims to identify clinical variables associated with length of hospital stay of bronchiolitis in children in a tropical middle-income countryMethodsWe conducted a retrospective cohort study in 417 infants with bronchiolitis in tertiary centers in Colombia. All medical records of all patients admitted to the emergency department were reviewed. To identify factors independently associated we use negative binomial regression model, to estimate incidence rate ratios (IRR) and adjust for potential confounding variablesResultsThe median of the length of hospital stay was 3.68 days, with a range of 0.74 days to 29 days, 138 (33.17%) of patients have a hospital stay of 5 or more days. After modeling and controlling for potential confounders age < 6 months, comorbidities (CHD or neurological), BPD, chest indrawing, RSV isolation, and C-reactive protein were independent predictors of LOSConclusionsOur results show that in infants with bronchiolitis, RSV isolation, age < 6 months, comorbidities (CHD or neurological), BPD, chest indrawing, and C-reactive protein were independent predictors of LOS. As a potentially modifiable risk factor, efforts to reduce the probability of RSV infection can reduce the hight medical cost associates with prolonged LOS in bronchiolitis.

Importance of respiratory syncytial virus as a predictor of hospital length of stay in bronchiolitis

“…Underlying data Zenodo: Importance of respiratory syncytial virus as a predictor of hospital length of stay in Bronchiolitis. http://doi.org/10.5281/ zenodo.4432434 13 . This project contains the raw data for each patient assessed in the present study.…”

Importance of respiratory syncytial virus as a predictor of hospital length of stay in bronchiolitis

“…Table 1 presents the clinical characteristics of the population. Deidentified individual-level raw data are available from Zenodo 13 . 2.…”