Literature DB >> 32939941

Accuracy of predicting neonatal distress using a five-level classification of fetal heart rate monitoring.

Natsumi Furuya1, Junichi Hasegawa1, Haruka Imai1, Chika Homma1, Akiko Kurasaki1, Haruhiro Kondo1, Nao Suzuki1.   

Abstract

AIM: To assess the accuracy of neonatal distress prediction using the five-level classification of fetal heart rate (FHR) and management protocol of the Japan Society of Obstetrics and Gynecology (JSOG).
METHODS: A case-control study was conducted. Vertex singleton pregnant women who delivered after 37 weeks' gestation from 2013 to 2015 were enrolled. The participants were categorized into two groups; controls were levels 1-3 (n = 1184), whereas cases were levels 4-5 (n = 117) group. Neonatal distress was defined as Apgar score < 8 points at 5 min or umbilical cord artery pH < 7.1.
RESULTS: There were 117 cases (9.0%). The frequency of the neonatal distress was observed in 1.3% controls and 6.8% cases (P < 0.01). Diagnostic accuracy of neonatal distress for cases showed a 6.8% positive-predictive value, 34.8% sensitivity, 91.5% specificity and 98.7% negative-predictive value. Among various obstetrical conditions, high sensitivity (100%) for prediction of neonatal distress was observed in women with chromosome abnormalities, placental abruption, umbilical cord abnormalities and excessive labor pain. Conversely, relatively low specificity (<50%) was observed in cases with oligohydramnios and excessive labor pain.
CONCLUSION: The five-level classification scheme was efficient for neonatal distress prediction. However, depending on the obstetric condition, the FHR findings and neonatal condition might be independent.
© 2020 Japan Society of Obstetrics and Gynecology.

Entities:  

Keywords:  cardiotocogram; fetal heart rate monitoring; neonatal distress; nonreassuring fetal status

Mesh:

Year:  2020        PMID: 32939941     DOI: 10.1111/jog.14490

Source DB:  PubMed          Journal:  J Obstet Gynaecol Res        ISSN: 1341-8076            Impact factor:   1.730


  1 in total

1.  Ultrasound Doppler fetal heart rate detection algorithm analyzes the correlation between twin selective fetal growth restriction and cord blood SFass fasL level.

Authors:  Qiaohong Cao; Cong Ma; Junbiao Zhu
Journal:  Pak J Med Sci       Date:  2021       Impact factor: 1.088

  1 in total

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