Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2020 May;40(5):695-703.
doi: 10.1038/s41372-020-0650-0. Epub 2020 Mar 18.

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

Jennifer S McLeod #  1 , Anitha Menon #  2 , Niki Matusko  3 , Gary M Weiner  4   5 , Samir K Gadepalli  1   4 , John Barks  4   5 , George B Mychaliska  1   4 , Erin E Perrone  6   7
Affiliations
Meta-Analysis

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

Jennifer S McLeod et al. J Perinatol. 2020 May.

Abstract

Objective: 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).

Study design: 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).

Results: 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)].

Conclusions: 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.

PubMed Disclaimer

References

    1. Althabe F, Bhutta Z, Blencowe H, Chandra-Mouli V, Chou D, Costello A, et al. Born Too Soon: The Global Action Report on Preterm Birth. World Health Organization, 2012. p. 1-112.
    1. Beck S, Wojdyla D, Say L, Beltran AP, Merialdi M, Requejo JH, et al. The worldwide incidence of preterm birth: a systematic review of maternal mortality and morbidity. Bull World Health Organ. 2010;88:31–8. - PubMed
    1. Patel RM, Rysavy MA, Bell EF, Tyson JE. Survival of infants born at periviable gestational ages. Clin Perinatol. 2017;44:287–303. - PubMed - PMC
    1. Gilbert WM. The cost of preterm birth: the low cost versus high value of tocolysis. BJOG 2006;113(Suppl 3):4–9. - PubMed
    1. MacDorman MF, Mathews TJ. The challenge of infant mortality: have we reached a plateau? Public health Rep. (Wash, DC: 1974). 2009;124:670–81.

Publication types

LinkOut - more resources