Risk scoring tool to predict respiratory syncytial virus hospitalisation in premature infants.

ABSTRACT:

Background

The objective was to develop a risk scoring tool which predicts respiratory syncytial virus hospitalisation (RSVH) in moderate-late preterm infants (32-35 weeks' gestational age) in the Northern Hemisphere.

Methods

Risk factors for RSVH were pooled from six observational studies of infants born 32 weeks and 0 days to 35 weeks and 6 days without comorbidity from 2000 to 2014. Of 13 475 infants, 484 had RSVH in the first year of life. Logistic regression was used to identify the most predictive risk factors, based on area under the receiver operating characteristic curve (AUROC). The model was validated internally by 100-fold bootstrapping and externally with data from a seventh observational study. The model coefficients were converted into rounded multipliers, str

SUBMITTER: Blanken MO 

PROVIDER: S-EPMC6099524 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature