Literature DB >> 17368461

Fetal electrocardiogram ST-segment analysis and prediction of neonatal acidosis.

C Vayssiere1, R Haberstich, V Sebahoun, E David, E Roth, B Langer.   

Abstract

OBJECTIVE: To determine the diagnostic value of fetal ST-segment analysis (STAN) in predicting neonatal acidosis.
METHODS: The STAN S21 was used to monitor singleton fetuses in labor with abnormal FHR. Physicians later reviewed tracings to identify any ST events dictating intervention. Outcome measures were umbilical artery pH< or =7.15 and pH< or =7.05 at birth. The sensitivity, specificity, PPV, and NPV of a significant ST event to predict both outcomes were calculated.
RESULTS: Analysis included 411 women. Sensitivity of a significant ST event for screening pH< or =7.15 (21.9%) was 38% (41/108), specificity 83% (252/303), PPV 45% (41/92) and NPV 79% (252/319), and for pH< or =7.05, it was (3.4%), 62.5% (10/16), 79% (313/395), 11% (10/92), and 98% (313/319), respectively.
CONCLUSION: In a population with abnormal FHR in labor, STAN sensitivity is moderate (almost 40%) for predicting pH< or =7.15 and better (almost 60%) for more severe acidosis (pH< or =7.05).

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Year:  2007        PMID: 17368461     DOI: 10.1016/j.ijgo.2007.01.003

Source DB:  PubMed          Journal:  Int J Gynaecol Obstet        ISSN: 0020-7292            Impact factor:   3.561


  5 in total

1.  Cesarean section for suspected fetal distress, continuous fetal heart monitoring and decision to delivery time.

Authors:  K K Roy; Jinee Baruah; Sunesh Kumar; A K Deorari; J B Sharma; Debjyoti Karmakar
Journal:  Indian J Pediatr       Date:  2009-02-04       Impact factor: 1.967

2.  Evaluation of Abdominal Fetal Electrocardiography in Early Intrauterine Growth Restriction.

Authors:  Clarissa L Velayo; Kiyoe Funamoto; Joyceline Noemi I Silao; Yoshitaka Kimura; Kypros Nicolaides
Journal:  Front Physiol       Date:  2017-06-26       Impact factor: 4.566

3.  Fetal monitoring--a risky business for the unborn and for clinicians.

Authors:  I Amer-Wahlin; S Dekker
Journal:  BJOG       Date:  2008-07       Impact factor: 6.531

Review 4.  Optimizing oxygen therapy for preterm infants at birth: Are we there yet?

Authors:  Vishal Kapadia; Ju Lee Oei
Journal:  Semin Fetal Neonatal Med       Date:  2020-01-16       Impact factor: 3.926

Review 5.  DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network.

Authors:  Zhidong Zhao; Yanjun Deng; Yang Zhang; Yefei Zhang; Xiaohong Zhang; Lihuan Shao
Journal:  BMC Med Inform Decis Mak       Date:  2019-12-30       Impact factor: 2.796

  5 in total

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