Literature DB >> 2378826

Birth asphyxia and the intrapartum cardiotocograph.

K W Murphy1, P Johnson, J Moorcraft, R Pattinson, V Russell, A Turnbull.   

Abstract

The intrapartum cardiotocographs (CTGs) of 38 severely asphyxiated, term infants, born during a 17-month period, and those of 120 healthy term infants acting as controls were independently reviewed by three investigators who were unaware of the clinical outcome. Inter-observer agreement was good (Kappa statistic = 0.74, P less than 0.0001). The investigators found that cardiotocographic abnormalities were present in 33 of the asphyxiated infants (87%) and in 35 of the controls (29%) and predicted that the abnormalities were severe enough to lead to significant fetal metabolic acidosis at delivery in 23 asphyxiated infants (61%) and in 11 controls (9%). The differences between the two groups were highly significant (P less than 0.001). Using the traditional diagnostic criteria for fetal distress, the investigators found that fetal blood sampling was indicated in 58% of cases in the asphyxia group and in 20% of controls but was only performed in 16% of asphyxiated infants and in 8% of controls. Furthermore, the median response times of delivery suite staff for abnormal fetal heart rate patterns were similar whether the FHR changes, classified using Krebs' CTG scoring system, were moderate or severe: 80 min and 90 min, respectively. These findings suggest that interpretation of the intrapartum CTG continues to pose major problems for practising obstetricians.

Entities:  

Mesh:

Year:  1990        PMID: 2378826     DOI: 10.1111/j.1471-0528.1990.tb02515.x

Source DB:  PubMed          Journal:  Br J Obstet Gynaecol        ISSN: 0306-5456


  10 in total

1.  Detection of asphyxia using heart rate variability.

Authors:  A Boardman; F S Schlindwein; N V Thakor; T Kimura; R G Geocadin
Journal:  Med Biol Eng Comput       Date:  2002-11       Impact factor: 2.602

2.  Reducing risk in obstetrics.

Authors:  J Drife
Journal:  Qual Health Care       Date:  1995-06

3. 

Authors:  F Béguin
Journal:  Arch Gynecol Obstet       Date:  1995-12       Impact factor: 2.344

Review 4.  The management of term labour.

Authors:  J A Spencer
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  1995-01       Impact factor: 5.747

5.  Suitability of artificial neural networks for feature extraction from cardiotocogram during labour.

Authors:  R D Keith; J Westgate; E C Ifeachor; K R Greene
Journal:  Med Biol Eng Comput       Date:  1994-07       Impact factor: 2.602

6.  A randomised clinical trial on cardiotocography plus fetal blood sampling versus cardiotocography plus ST-analysis of the fetal electrocardiogram (STAN) for intrapartum monitoring.

Authors:  Michelle E M H Westerhuis; Karel G M Moons; Erik van Beek; Saskia M Bijvoet; Addy P Drogtrop; Herman P van Geijn; Jan M M van Lith; Ben W J Mol; Jan G Nijhuis; S Guid Oei; Martina M Porath; Robbert J P Rijnders; Nico W E Schuitemaker; Ingeborg van der Tweel; Gerard H A Visser; Christine Willekes; Anneke Kwee
Journal:  BMC Pregnancy Childbirth       Date:  2007-07-26       Impact factor: 3.007

7.  Computerised interpretation of fetal heart rate during labour (INFANT): a randomised controlled trial.

Authors: 
Journal:  Lancet       Date:  2017-03-21       Impact factor: 79.321

8.  Investigating myocardial performance in normal and sick fetuses by abdominal Doppler signal derived indices.

Authors:  Ahsan H Khandoker; Haitham M Al-Angari; Faezeh Marzbanrad; Yoshitaka Kimura
Journal:  Curr Res Physiol       Date:  2021-02-05

9.  Rasch scaling procedures for informing development of a valid Fetal Surveillance Education Program multiple-choice assessment.

Authors:  Nathan Zoanetti; Patrick Griffin; Mark Beaves; Euan M Wallace
Journal:  BMC Med Educ       Date:  2009-04-29       Impact factor: 2.463

10.  A study of an intelligent system to support decision making in the management of labour using the cardiotocograph - the INFANT study protocol.

Authors:  Peter Brocklehurst
Journal:  BMC Pregnancy Childbirth       Date:  2016-01-20       Impact factor: 3.007

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.