Literature DB >> 33430809

Apgar score and neonatal mortality in China: an observational study from a national surveillance system.

Yi Mu1, Mingrong Li1, Jun Zhu1,2, Yanping Wang1, Aiyun Xing3, Zheng Liu1, Yanxia Xie4, Xiaodong Wang5, Juan Liang1.   

Abstract

BACKGROUND: To examine the association between the Apgar score and neonatal mortality over gestational age in China and to explore whether this association changed when Apgar scores were combined at 1 and 5 min.
METHODS: Data for all singleton live births collected from 438 hospitals between 2012 and 2016 were used in this study. Poisson regression with a robust variance estimator adjusted for a complete set of confounders was used to describe the strength of the association between the Apgar score and neonatal mortality.
RESULTS: The relative risks of neonatal death-associated intermediate Apgar score at 5 min peaked at 39-40 weeks of gestation and subsequently decreased if the gestational age increased to 42 weeks or above, in contrast to the low Apgar score. Among both preterm and term new-borns with Apgar scores at 5 min, new-borns that were not small for gestational age had a lower mortality rate than those that were small for gestational age. The association between Apgar score and the neonatal mortality was even stronger when scores at 1 and 5 min were combined.
CONCLUSIONS: Apgar score is not only meaningful for preterm new-borns but also useful for term new-borns, especially term new-borns that are not small for gestational age. Once the baby's Apgar score worsens, timely intervention is needed. There is still a gap between China and high-income countries in terms of sustained treatment of new-borns with low Apgar scores.

Entities:  

Keywords:  Apgar score; China; Neonatal mortality; Small for gestational age

Year:  2021        PMID: 33430809      PMCID: PMC7802282          DOI: 10.1186/s12884-020-03533-3

Source DB:  PubMed          Journal:  BMC Pregnancy Childbirth        ISSN: 1471-2393            Impact factor:   3.007


  30 in total

1.  The continuing value of the Apgar score for the assessment of newborn infants.

Authors:  B M Casey; D D McIntire; K J Leveno
Journal:  N Engl J Med       Date:  2001-02-15       Impact factor: 91.245

2.  Between-hospital variation in treatment and outcomes in extremely preterm infants.

Authors:  Matthew A Rysavy; Lei Li; Edward F Bell; Abhik Das; Susan R Hintz; Barbara J Stoll; Betty R Vohr; Waldemar A Carlo; Seetha Shankaran; Michele C Walsh; Jon E Tyson; C Michael Cotten; P Brian Smith; Jeffrey C Murray; Tarah T Colaizy; Jane E Brumbaugh; Rosemary D Higgins
Journal:  N Engl J Med       Date:  2015-05-07       Impact factor: 91.245

3.  Apgar score and the risk of cause-specific infant mortality: a population-based cohort study.

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Review 4.  The effects of China's universal two-child policy.

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6.  Population-based risks of mortality and preterm morbidity by gestational age and birth weight.

Authors:  R J Baer; E E Rogers; J C Partridge; J G Anderson; M Morris; M Kuppermann; L S Franck; L Rand; L L Jelliffe-Pawlowski
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Authors:  Joanne Katz; Anne Cc Lee; Naoko Kozuki; Joy E Lawn; Simon Cousens; Hannah Blencowe; Majid Ezzati; Zulfiqar A Bhutta; Tanya Marchant; Barbara A Willey; Linda Adair; Fernando Barros; Abdullah H Baqui; Parul Christian; Wafaie Fawzi; Rogelio Gonzalez; Jean Humphrey; Lieven Huybregts; Patrick Kolsteren; Aroonsri Mongkolchati; Luke C Mullany; Richard Ndyomugyenyi; Jyh Kae Nien; David Osrin; Dominique Roberfroid; Ayesha Sania; Christentze Schmiegelow; Mariangela F Silveira; James Tielsch; Anjana Vaidya; Sithembiso C Velaphi; Cesar G Victora; Deborah Watson-Jones; Robert E Black
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Journal:  Lancet Glob Health       Date:  2016-12-20       Impact factor: 26.763

10.  Sociodemographic and obstetric characteristics of stillbirths in China: a census of nearly 4 million health facility births between 2012 and 2014.

Authors:  Jun Zhu; Juan Liang; Yi Mu; Xiaohong Li; Sufang Guo; Robert Scherpbier; Yanping Wang; Li Dai; Zheng Liu; Mingrong Li; Chunhua He; Changfei Deng; Ling Yi; Kui Deng; Qi Li; Xia Ma; Chunmei Wen; Dezhi Mu; Carine Ronsmans
Journal:  Lancet Glob Health       Date:  2016-01-19       Impact factor: 26.763

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