Back to Search Start Over

A risk stratification model to predict adverse neonatal outcome in labor.

Authors :
Holmgren CM
Esplin MS
Jackson M
Porter TF
Henry E
Horne BD
Varner MW
Source :
Journal of perinatology : official journal of the California Perinatal Association [J Perinatol] 2013 Dec; Vol. 33 (12), pp. 914-8. Date of Electronic Publication: 2013 Oct 24.
Publication Year :
2013

Abstract

Objective: The development and evaluation of a labor risk model consisting of a combination of antepartum risk factors and intrapartum fetal heart rate (FHR) characteristics that can reliably identify those infants at risk for adverse neonatal outcome in labor.<br />Study Design: A nested case-control study of term singleton deliveries at the nine hospitals between March 2007 and December 2009. Eligibility criteria included: gestational age ≥ 37.0 weeks; singleton pregnancy; documented continuous FHR monitoring for ≥ 2 h before delivery; assessment of FHR tracing at least every 20 min; and, available maternal and neonatal outcomes. Adverse neonatal outcome was defined as nonanomalous infants admitted to the newborn intensive care unit with either a 5 minute Apgar score <7 or an umbilical artery pH<7.1. Initial risk score was determined using data available at 1 h after admission. Patients with an initial risk score between 7 and 15 were considered high risk. Intrapartum risk scores were then created for these patients using FHR tracing data and labor characteristics.<br />Result: A total of 51 244 patients were identified meeting study criteria. Of the antepartum variables evaluated (n=31), 10 were associated with an adverse outcome. The high-risk group made up 28% of the population and accounted for 59.8% of the adverse outcomes. Intrapartum characteristics were then evaluated in this high-risk group. Intrapartum evaluation identified the highest risk group with a C/S rate of 40% and adverse outcome rate of 11.3%.<br />Conclusion: Incorporation of maternal and antepartum risk factors with FHR analysis can improve the ability to identify the fetus at risk in labor.

Details

Language :
English
ISSN :
1476-5543
Volume :
33
Issue :
12
Database :
MEDLINE
Journal :
Journal of perinatology : official journal of the California Perinatal Association
Publication Type :
Academic Journal
Accession number :
24157496
Full Text :
https://doi.org/10.1038/jp.2013.64