Comparing mortality risk models in VLBW and preterm infants: systematic review and meta-analysis.

Published
March 24, 2020
Journal
Journal of perinatology : official journal of the California Perinatal Association
PICOID
20ce01fe
DOI
Citations
23
Keywords
Copyright
Patients/Population/Participants

VLBW infants, very preterm infants

Intervention

six neonatal illness severity scores (CRIB, CRIB II, SNAP, SNAP II, SNAP-PE, and SNAP-PE II), birthweight (BW), gestational age (GA)

Comparison

predicting pre-discharge mortality

Outcome

AUC with 95% confidence intervals (CI)

Abstract

P
I
C
O

To compare the prognostic accuracy of six neonatal illness severity scores (CRIB, CRIB II, SNAP, SNAP II, SNAP-PE, and SNAP-PE II), birthweight (BW), and gestational age (GA) for predicting pre-discharge mortality among very low birth weight (VLBW) infants (<1500 g) and very preterm infants (<32 weeks' gestational age). PubMed, EMBASE, and Scopus were the data sources searched for studies published before January 2019. Data were extracted, pooled, and analyzed using random-effects models and reported as AUC with 95% confidence intervals (CI). Of 1659 screened studies, 24 met inclusion criteria. CRIB was the most discriminate for predicting pre-discharge mortality [AUC 0.88 (0.86-0.90)]. GA was the least discriminate [AUC 0.76 (0.72-0.80)]. Although the original CRIB score was the most accurate predictor of pre-discharge mortality, significant heterogeneity between studies lowers confidence in this pooled estimate. A more precise illness severity score to predict pre-discharge mortality is still needed.

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