Intrapartum monitoring of high-risk deliveries with ST analysis of the fetal electrocardiogram: an observational study of 6010 deliveries

Acta Obstet Gynecol Scand. 2013 Jan;92(1):75-84. doi: 10.1111/j.1600-0412.2012.01528.x.

Abstract

Objective: To evaluate the clinical use of ST analysis (STAN) for intrapartum monitoring of high-risk pregnancies.

Design: Prospective observational study.

Setting: University hospital, Norway, 2004-2008.

Population: Singleton pregnancies with a gestational age above 35(+6) weeks.

Methods: Analysis of maternal and neonatal outcomes for all deliveries according to the method of intrapartum monitoring.

Main outcome measures: Prevalence of cord metabolic acidosis (pH < 7.05, extracellular fluid base deficit (extracellular fluid) >12 mmol/L).

Results: Of 23 203 deliveries, 6010 (25.9%) were monitored with STAN. Fetal blood sampling was performed in 146 (2.4%) of the 6010 cases. During the study period, the prevalence of cord metabolic acidosis and moderate cord acidosis (pH < 7.15) decreased in STAN-monitored deliveries from 1.4 to 0.3% (p = 0.01) and from 16.4 to 11.7% (p = 0.001), respectively. The prevalence of moderate and severe neonatal encephalopathy was 0.38%. In the birth population, the proportion of cesarean deliveries decreased from 10.1 to 8.8%. The risk of emergency cesarean section after STAN monitoring compared with those monitored with auscultation/cardiotocography was high (odds ratio 5.4, 95% confidence interval = 4.9-6.1) but remained stable during the study period.

Conclusions: ST analysis is a useful tool for identification of fetuses at risk of intrapartum hypoxia. Despite the restricted use of fetal blood sampling, we found a low proportion of cord metabolic acidosis and newborn morbidity.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acidosis / blood
  • Adult
  • Cardiotocography / methods*
  • Cesarean Section / statistics & numerical data
  • Chi-Square Distribution
  • Confidence Intervals
  • Female
  • Gestational Age
  • Humans
  • Logistic Models
  • Norway / epidemiology
  • Pregnancy
  • Pregnancy Complications / epidemiology
  • Pregnancy Outcome / epidemiology*
  • Pregnancy, High-Risk*
  • Prevalence
  • Prospective Studies