AI Article Synopsis

  • The study assessed the effectiveness of cardiotocography (CTG) in predicting fetal acidemia during labor, focusing on the optimal assessment duration using the iPREFACE scoring system.
  • Conducted at Toho University Omori Medical Center, the research analyzed data from 325 full-term vaginal deliveries, ultimately including 145 patients after excluding those with incomplete CTG results.
  • Findings indicated that the iPREFACE scores significantly correlated with umbilical artery blood pH levels, with the 30-minute assessment (iPREFACE(30)) showing the best predictive capacity for identifying fetal acidemia.

Article Abstract

Cardiotocography (CTG) applicability to improve fetal outcomes remains controversial. This study aimed to determine the clinically optimal CTG assessment duration using the integrated score index to predict fetal acidemia by intrapartum fetal heart rate monitoring (iPREFACE score). This single-center, retrospective observational study included 325 normal full-term singleton vaginal deliveries at the Toho University Omori Medical Center, from September 2018 to March 2019. The iPREFACE(10), iPREFACE(30), and iPREFACE(60) scores were calculated at 10, 30, and 60 min immediately before delivery. The primary outcome was fetal acidemia (umbilical artery blood pH < 7.2). The secondary outcome was the correlation between all iPREFACE scores and the umbilical artery blood pH, base excess (BE), and lactate values. Patients without accurate CTG findings or with failure of umbilical artery blood sampling immediately after birth were excluded, leaving 145 patients in the final analysis. Of these, 16, three, and two had umbilical artery blood pH of < 7.2, < 7.1, and < 7.0, respectively. All iPREFACE scores significantly correlated with umbilical artery blood pH, BE, and lactate values. iPREFACE(30) had the highest predictive capacity for fetal acidemia, suggesting that 30 min immediately before delivery may be a useful scoring time in clinical practice.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338067PMC
http://dx.doi.org/10.1038/s41598-022-17364-zDOI Listing

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