Literature DB >> 9932571

Predictive value of electronic fetal monitoring for intrapartum fetal asphyxia with metabolic acidosis.

J A Low1, R Victory, E J Derrick.   

Abstract

OBJECTIVE: To determine the predictive value of each fetal heart rate (FHR) variable and of patterns of FHR variables for fetal asphyxia during labor.
METHODS: This matched case-control study included an asphyxia group of 71 term infants with umbilical artery base deficit greater than 16 mmol/L and a control group of 71 term infants with umbilical artery base deficit less than 8 mmol/L. Each FHR record available for the 4 hours before delivery was scored in 10-minute cycles for each FHR variable. Selected patterns of important FHR variables were examined during the last hour before delivery for their predictive value for fetal asphyxia.
RESULTS: The FHR variables associated with fetal asphyxia included absent and minimal baseline variability and late and prolonged decelerations. Fetal heart rate patterns with absent baseline variability were the most specific but identified only 17% of the asphyxia group. The sensitivity of this test increased to 93% with the addition of less specific patterns. The estimated positive predictive value ranged from 18.1% to 2.6%, and the negative predictive value ranged from 98.3% to 99.5%.
CONCLUSION: A narrow 1-hour window of FHR patterns including minimal baseline variability and late or prolonged decelerations will predict fetal asphyxial exposure before decompensation and newborn morbidity. Thus, with careful interpretation, predictive FHR patterns can be a useful screening test for fetal asphyxia. However, supplementary tests are required to confirm the diagnosis and to identify the large number of false-positive patterns to avoid unnecessary intervention.

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Mesh:

Year:  1999        PMID: 9932571     DOI: 10.1016/s0029-7844(98)00441-4

Source DB:  PubMed          Journal:  Obstet Gynecol        ISSN: 0029-7844            Impact factor:   7.661


  5 in total

1.  Fetal Heart Rate Analysis for Automatic Detection of Perinatal Hypoxia Using Normalized Compression Distance and Machine Learning.

Authors:  Óscar Barquero-Pérez; Ricardo Santiago-Mozos; José M Lillo-Castellano; Beatriz García-Viruete; Rebeca Goya-Esteban; Antonio J Caamaño; José L Rojo-Álvarez; Carlos Martín-Caballero
Journal:  Front Physiol       Date:  2017-02-28       Impact factor: 4.566

2.  Fetal heart rate pattern notification guidelines and suggested management algorithm for intrapartum electronic fetal heart rate monitoring.

Authors:  Thomas Downs; Evelyn Zlomke
Journal:  Perm J       Date:  2007

3.  Fractal Analysis and Hurst Parameter for Intrapartum Fetal Heart Rate Variability Analysis: A Versatile Alternative to Frequency Bands and LF/HF Ratio.

Authors:  Muriel Doret; Jiří Spilka; Václav Chudáček; Paulo Gonçalves; Patrice Abry
Journal:  PLoS One       Date:  2015-08-31       Impact factor: 3.240

4.  Non-reassuring fetal status: Case definition & guidelines for data collection, analysis, and presentation of immunization safety data.

Authors:  Courtney Gravett; Linda O Eckert; Michael G Gravett; Donald J Dudley; Elizabeth M Stringer; Tresor Bodjick Muena Mujobu; Olga Lyabis; Sonali Kochhar; Geeta K Swamy
Journal:  Vaccine       Date:  2016-07-22       Impact factor: 3.641

5.  Lactate point-of-care testing for acidosis: Cross-comparison of two devices with routine laboratory results.

Authors:  Remco van Horssen; Teska N Schuurman; Monique J M de Groot; Bernadette S Jakobs
Journal:  Pract Lab Med       Date:  2015-12-24
  5 in total

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