Literature DB >> 23945903

What is the best predictor of mortality in a very low birth weight infant population with a high mortality rate in a medical setting with limited resources?

M Gooden1, N Younger2, H Trotman1.   

Abstract

OBJECTIVE: To determine the best predictor of mortality risk in very low birth weight (VLBW) infants in resource limited settings.
METHODS: The Clinical Risk Index for Babies (CRIB) II score and the simplified age-weight-sex (SAWS) score for all VLBW infants born during the period January 2005 to June 2006 at the University Hospital of the West Indies were retrospectively calculated. The respective ability of each score, birth weight, and calculated or assessed gestational age to predict mortality was quantified using the area under receiver operating curves.
RESULTS: Fifty two (48%) males and 57 (52%) females were entered into the study, out of which 58 (53%) infants died. The CRIB II score was found to be a better predictor of mortality (p = 0.02) when compared with calculated gestational age but had similar predictive power when compared with assessed gestational age. The SAWS score was found to have equal predictive value of mortality (p = 0.1) as the CRIB II score, however it was a better predictor of mortality than calculated gestational age (p = 0.002) but had no predictive advantage over assessed gestational age. Birth weight however, proved to be the best predictor of mortality (p < 0.01) with an area under the curve of 0.91 (standard error 0.03; 95% confidence interval 0.85-0.96).
CONCLUSION: In resource poor settings where mortality of VLBW infants is high there may be no benefit in the addition of other variables to birth weight in predicting outcome. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

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Year:  2013        PMID: 23945903     DOI: 10.1055/s-0033-1351658

Source DB:  PubMed          Journal:  Am J Perinatol        ISSN: 0735-1631            Impact factor:   1.862


  4 in total

Review 1.  Comparing mortality risk models in VLBW and preterm infants: systematic review and meta-analysis.

Authors:  Jennifer S McLeod; Anitha Menon; Niki Matusko; Gary M Weiner; Samir K Gadepalli; John Barks; George B Mychaliska; Erin E Perrone
Journal:  J Perinatol       Date:  2020-03-18       Impact factor: 2.521

2.  Comparison of morbidity and mortality of very low birth weight infants in a Central Hospital in Johannesburg between 2006/2007 and 2013.

Authors:  Daynia E Ballot; Tobias Chirwa; Tanusha Ramdin; Lea Chirwa; Irma Mare; Victor A Davies; Peter A Cooper
Journal:  BMC Pediatr       Date:  2015-03-13       Impact factor: 2.125

3.  Admissions and mortality over a 5-year period in a limited-resource neonatal unit in Ghana.

Authors:  Adziri H Sackey; Lily G Tagoe
Journal:  Ghana Med J       Date:  2019-06

4.  Prediction of short-term neonatal complications in preterm infants using exome-wide genetic variation and gestational age: a pilot study.

Authors:  William C L Stewart; Komla M Gnona; Peter White; Ben Kelly; Mark Klebanoff; Irina A Buhimschi; Leif D Nelin
Journal:  Pediatr Res       Date:  2020-02-05       Impact factor: 3.756

  4 in total

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