Literature DB >> 26011725

Agreement on intrapartum cardiotocogram recordings between expert obstetricians.

Lukáš Hruban1, Jiří Spilka2,3, Václav Chudáček2,3, Petr Janků1, Michal Huptych2, Miroslav Burša2, Adam Hudec4, Marian Kacerovský5, Michal Koucký6, Martin Procházka7, Vladimír Korečko4, Jan Seget'a8, Ondřej Šimetka8,9, Alena Měchurová10, Lenka Lhotská2.   

Abstract

RATIONALE, AIMS AND
OBJECTIVES: To evaluate obstetricians' inter- and intra-observer agreement on intrapartum cardiotocogram (CTG) recordings and to examine obstetricians' evaluations with respect to umbilical artery pH and base deficit.
METHODS: Nine experienced obstetricians annotated 634 intrapartum CTG recordings. The evaluation of each recording was divided into four steps: evaluation of two 30-minute windows in the first stage of labour, evaluation of one window in the second stage of labour and labour outcome prediction. The complete set of evaluations used for this experiment is available online. The inter- and intra-observer agreement was evaluated using proportion of agreement and kappa coefficient. Clinicians' sensitivity and specificity was computed with respect to umbilical artery pH, base deficit and to Apgar score at the fifth minute.
RESULTS: The overall proportion of agreement between clinicians reached 48% with 95% confidence intervals (CI) (CI: 47-50). Regarding the different classes, proportion of agreement ranged from 57% (CI: 54-60) for normal to 41% (CI: 36-46) for pathological class. The sensitivity of clinicians' majority vote to objective outcome was 39% (CI: 16-63) for the umbilical artery base deficit and 27% (CI: 16-42) for pH. The specificity was 89% (CI: 86-92) for both types of objective outcome.
CONCLUSIONS: The reported inter-/intra-observer variability is large and this holds irrespective of clinicians' experience or work place. The results support the need of modernized guidelines for CTG evaluation and/or objectivization and repeatability by introduction of a computerized approach that could standardize the process of CTG evaluation within the delivery ward.
© 2015 John Wiley & Sons, Ltd.

Keywords:  cardiotocography; fetal heart rate; inter-observer variability; intra-observer variability

Mesh:

Year:  2015        PMID: 26011725     DOI: 10.1111/jep.12368

Source DB:  PubMed          Journal:  J Eval Clin Pract        ISSN: 1356-1294            Impact factor:   2.431


  15 in total

1.  Dynamic classification of fetal heart rates by hierarchical Dirichlet process mixture models.

Authors:  Kezi Yu; J Gerald Quirk; Petar M Djurić
Journal:  PLoS One       Date:  2017-09-27       Impact factor: 3.240

2.  Perpetuating Myths, Fables, and Fairy Tales: A Half Century of Electronic Fetal Monitoring.

Authors:  Thomas P Sartwelle; James C Johnston; Berna Arda
Journal:  Surg J (N Y)       Date:  2015-11-20

3.  Computer-based intrapartum fetal monitoring and beyond: A review of the 2nd Workshop on Signal Processing and Monitoring in Labor (October 2017, Oxford, UK).

Authors:  Antoniya Georgieva; Patrice Abry; Václav Chudáček; Petar M Djurić; Martin G Frasch; René Kok; Christopher A Lear; Sebastiaan N Lemmens; Inês Nunes; Aris T Papageorghiou; Gerald J Quirk; Christopher W G Redman; Barry Schifrin; Jiri Spilka; Austin Ugwumadu; Rik Vullings
Journal:  Acta Obstet Gynecol Scand       Date:  2019-06-18       Impact factor: 3.636

4.  Unsupervised Detection of Anomalies in Fetal Heart Rate Tracings using Phase Space Reconstruction.

Authors:  Liu Yang; Marzieh Ajirak; Cassandra Heiselman; J Gerald Quirk; Petar M Djurić
Journal:  Proc Eur Signal Process Conf EUSIPCO       Date:  2021-12-08

5.  BOOST ENSEMBLE LEARNING FOR CLASSIFICATION OF CTG SIGNALS.

Authors:  Marzieh Ajirak; Cassandra Heiselman; J Gerald Quirk; Petar M Djurić
Journal:  Proc IEEE Int Conf Acoust Speech Signal Process       Date:  2022-04-27

6.  IMPROVING PHASE-RECTIFIED SIGNAL AVERAGING FOR FETAL HEART RATE ANALYSIS.

Authors:  Tong Chen; Guanchao Feng; Cassandra Heiselman; J Gerald Quirk; Petar M Djurić
Journal:  Proc IEEE Int Conf Acoust Speech Signal Process       Date:  2022-04-27

7.  UNSUPERVISED CLUSTERING AND ANALYSIS OF CONTRACTION-DEPENDENT FETAL HEART RATE SEGMENTS.

Authors:  Liu Yang; Cassandra Heiselman; J Gerald Quirk; Petar M Djurić
Journal:  Proc IEEE Int Conf Acoust Speech Signal Process       Date:  2022-04-27

8.  Investigating pH based evaluation of fetal heart rate (FHR) recordings.

Authors:  George Georgoulas; Petros Karvelis; Jiří Spilka; Václav Chudáček; Chrysostomos D Stylios; Lenka Lhotská
Journal:  Health Technol (Berl)       Date:  2017-07-04

Review 9.  A review of fetal cardiac monitoring, with a focus on low- and middle-income countries.

Authors:  Camilo E Valderrama; Nasim Ketabi; Faezeh Marzbanrad; Peter Rohloff; Gari D Clifford
Journal:  Physiol Meas       Date:  2020-12-18       Impact factor: 2.688

10.  Editorial: Perinatology in the Era of Big Data and Nanoparticles.

Authors:  Martin G Frasch
Journal:  Front Pediatr       Date:  2015-11-05       Impact factor: 3.418

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