1. Accuracy of predicting neonatal distress using a five‐level classification of fetal heart rate monitoring.
- Author
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Furuya, Natsumi, Hasegawa, Junichi, Imai, Haruka, Homma, Chika, Kurasaki, Akiko, Kondo, Haruhiro, and Suzuki, Nao
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APGAR score , *FETAL monitoring , *PREDICTIVE tests , *CASE-control method , *DESCRIPTIVE statistics , *FETAL heart rate ,DIAGNOSIS of neonatal diseases - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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