Estimation of Individual Neonatal Survival Using Birthweight and Gestational Age: a Way to Improve Neonatal Care

Overview

Journal J Health Popul Nutr

Publisher Biomed Central

Specialties Nutritional Sciences
Public Health

Date 2008 Jul 22

PMID 18637528

Citations 2

Authors

Francisco Mardones

Guillermo Marshall

Paola Viviani

Luis Villarroel

Barton R Burkhalter

Jose-Luis Tapia

Jaime Cerda

Trinidad Garcia-Huidobro

Constanza Ralph

Enrique Oyarzun

Francisco Mardones-Restat

Affiliations

Soon will be listed here.

Abstract

The study was conducted to determine the combined effect of birthweight and gestational age at birth on neonatal mortality using individually-identified livebirths. Logistic regression was used for studying the interactive effect of birthweight and gestational age on the individual probability of neonatal death. All livebirths from Chile in 2000 were included in a linked file. Odds ratio models for birthweight and gestational age were developed for each sex. The probability of neonatal death by sex was presented using contour plots. The models were statistically significant, and odds ratios were different and non-linear for the effects of birthweight and gestational age. Contour plots of constant neonatal mortality according to birthweight and gestational age were presented; they were similar for each sex. A single graph for both sexes that estimates the survival potential of infants born too early or too small would improve neonatal care in developing countries.

Citing Articles

The prevalence and risk factors of preterm small-for-gestational-age infants: a population-based retrospective cohort study in rural Chinese population.

Chen S, Zhu R, Zhu H, Yang H, Gong F, Wang L BMC Pregnancy Childbirth. 2017; 17(1):237.

PMID: 28728571 PMC: 5520343. DOI: 10.1186/s12884-017-1412-7.

When is birthweight at term abnormally low? A systematic review and meta-analysis of the association and predictive ability of current birthweight standards for neonatal outcomes.

Malin G, Morris R, Riley R, Teune M, Khan K BJOG. 2014; 121(5):515-26.

PMID: 24397731 PMC: 4162997. DOI: 10.1111/1471-0528.12517.

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