Literature DB >> 28601729

Small for gestational age and perinatal mortality at term: An audit in a Dutch national cohort study.

Martine Eskes1, Adja J M Waelput2, Sicco A Scherjon3, Klasien A Bergman4, Ameen Abu-Hanna5, Anita C J Ravelli5.   

Abstract

OBJECTIVE: To assess the underlying risk factors for perinatal mortality in term born small for gestational age infants. STUDY
DESIGN: We performed a population based nationwide cohort study in the Netherlands of 465,532 term born infants from January 2010 to January 2013. Logistic regression analyses were performed. Also audit results were studied for detailed care information.
RESULTS: We studied 162 small for gestational age infants who died in the perinatal period. Risk factors were: gestational age at 37completed weeks (adjusted Odds Ratio (aOR) 2.6, 95% Confidence Interval (CI) 1.6-4.3), male gender (aOR 1.4, 95% CI 1.01-1.9), South Asian ethnicity (aOR 3.6, 95% CI 1.6-8.4), African (aOR 3.5, 95% CI 1.9-6.5) and other non-Western ethnicity (aOR 1.9, CI 1.2-3.1). At 37 completed weeks gestation audit results showed that 26% of the women smoked, 91% were boys and in all but one case death occurred before birth. In 61% of all deceased SGA infants born at 37 completed weeks gestation referral from primary care by independent midwives to the obstetrician took place because of antepartum death before labor.
CONCLUSIONS: Gestational age of 37 completed weeks, male gender, South Asian, African or other non-Western ethnicity and smoking are associated with perinatal mortality in SGA infants. These risk factors concern the complete term population starting at 37 weeks or even earlier. Therefore, it is of utmost importance to develop accurate diagnostic tests to screen for SGA before 36 weeks gestation to prevent perinatal mortality at term in SGA infants.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  37 weeks gestational age; Ethnicity; Fetal growth restriction; Small for gestational age (SGA); Term perinatal mortality

Mesh:

Year:  2017        PMID: 28601729     DOI: 10.1016/j.ejogrb.2017.06.002

Source DB:  PubMed          Journal:  Eur J Obstet Gynecol Reprod Biol        ISSN: 0301-2115            Impact factor:   2.435


  2 in total

1.  Prediction of Preeclampsia and Intrauterine Growth Restriction: Development of Machine Learning Models on a Prospective Cohort.

Authors:  Herdiantri Sufriyana; Yu-Wei Wu; Emily Chia-Yu Su
Journal:  JMIR Med Inform       Date:  2020-05-18

2.  Towards a better understanding of risk selection in maternal and newborn care: A systematic scoping review.

Authors:  Bahareh Goodarzi; Annika Walker; Lianne Holten; Linda Schoonmade; Pim Teunissen; François Schellevis; Ank de Jonge
Journal:  PLoS One       Date:  2020-06-08       Impact factor: 3.240

  2 in total

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