Literature DB >> 8119470

Interobserver variation in the assessment of fetal heart rate recordings.

D K Donker1, H P van Geijn, A Hasman.   

Abstract

Electronic fetal heart rate monitoring (EFM) has not fulfilled its expectations. To improve its validity various attempts were made to standardize terminology and assessment of fetal heart rate (FHR) recordings. In a multinational study, 21 experienced obstetricians were asked to segment and classify FHR patterns, recorded in 13 obstetric cases. In addition, the referees were asked to give their interpretation of the FHR pattern, to assess the fetal condition and to propose obstetric management. The kappa statistic showed fair agreement among the obstetricians for the classification of accelerations, baseline segments and decelerations. Poor agreement was found when the referees had to classify baseline variability or the type of deceleration. Also, the clinical assessment of fetal condition and proposals for obstetric management showed poor agreement among the referees. We conclude there is still a lack of unequivocal terminology and definitions in the assessment of FHR recordings.

Mesh:

Year:  1993        PMID: 8119470     DOI: 10.1016/0028-2243(93)90220-7

Source DB:  PubMed          Journal:  Eur J Obstet Gynecol Reprod Biol        ISSN: 0301-2115            Impact factor:   2.435


  11 in total

1.  ST Analysis of the Fetal ECG, as an Adjunct to Fetal Heart Rate Monitoring in Labour: A Review.

Authors:  Tahira Kazmi; Forough Radfer; Sultana Khan
Journal:  Oman Med J       Date:  2011-11

2.  Foetal heart rate power spectrum response to uterine contraction.

Authors:  M Romano; P Bifulco; M Cesarelli; M Sansone; M Bracale
Journal:  Med Biol Eng Comput       Date:  2006-02-21       Impact factor: 2.602

3.  A prospective cohort study of fetal heart rate monitoring: deceleration area is predictive of fetal acidemia.

Authors:  Alison G Cahill; Methodius G Tuuli; Molly J Stout; Julia D López; George A Macones
Journal:  Am J Obstet Gynecol       Date:  2018-02-01       Impact factor: 8.661

4.  Heart murmurs recorded by a sensor based electronic stethoscope and e-mailed for remote assessment.

Authors:  L B Dahl; P Hasvold; E Arild; T Hasvold
Journal:  Arch Dis Child       Date:  2002-10       Impact factor: 3.791

5.  Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models.

Authors:  Zafer Cömert; Abdulkadir Şengür; Ümit Budak; Adnan Fatih Kocamaz
Journal:  Health Inf Sci Syst       Date:  2019-08-20

6.  Comparison of a novel computerized analysis program and visual interpretation of cardiotocography.

Authors:  Chen-Yu Chen; Chun Yu; Chia-Chen Chang; Chii-Wann Lin
Journal:  PLoS One       Date:  2014-12-01       Impact factor: 3.240

7.  Complexity of Cardiotocographic Signals as A Predictor of Labor.

Authors:  João Monteiro-Santos; Teresa Henriques; Inês Nunes; Célia Amorim-Costa; João Bernardes; Cristina Costa-Santos
Journal:  Entropy (Basel)       Date:  2020-01-16       Impact factor: 2.524

8.  Differences in the Asymmetry of Beat-to-Beat Fetal Heart Rate Accelerations and Decelerations at Preterm and Term Active Labor.

Authors:  Carolina López-Justo; Adriana Cristina Pliego-Carrillo; Claudia Ivette Ledesma-Ramírez; Hugo Mendieta-Zerón; Miguel Ángel Peña-Castillo; Juan Carlos Echeverría; Jorge Rodríguez-Arce; José Javier Reyes-Lagos
Journal:  Sensors (Basel)       Date:  2021-12-10       Impact factor: 3.576

Review 9.  Sensors for Fetal Hypoxia and Metabolic Acidosis: A Review.

Authors:  Gerard Cummins; Jessica Kremer; Anne Bernassau; Andrew Brown; Helen L Bridle; Holger Schulze; Till T Bachmann; Michael Crichton; Fiona C Denison; Marc P Y Desmulliez
Journal:  Sensors (Basel)       Date:  2018-08-13       Impact factor: 3.576

10.  Near-infrared spectroscopy of the placenta for monitoring fetal oxygenation during labour.

Authors:  Katja Ražem; Juš Kocijan; Matej Podbregar; Miha Lučovnik
Journal:  PLoS One       Date:  2020-04-16       Impact factor: 3.240

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