Intrapartum cardiotocogram monitoring between obstetricians and computer analysis. (4th March 2021)

• Record Type: Journal Article
• Authors: Magawa, Shoichi; Tanaka, Hiroaki; Furuhashi, Fumi; Maki, Shintaro; Nii, Masafumi; Toriyabe, Kuniaki; Kondo, Eiji; Ikeda, Tomoaki
• Is Part Of: Journal of maternal-fetal & neonatal medicine. Volume 34:Number 5(2021)
• Page Start: 787
• Page End: 793
• Publication Date: 2021-03-04
• Subjects: Cardiotocogram (CTG) monitoring -- computer analysis -- deceleration -- fetal heart rate -- Trium; Obstetrics -- Periodicals; Perinatology -- Periodicals; Infants (Newborn) -- Diseases -- Periodicals; Neonatology -- Periodicals; 618.2
• DOI: 10.1080/14767058.2019.1617688
• Languages: English
• ISSNs: 1476-7058

Abstract

Abstract: Purpose: To investigate the accuracy of computer analysis and its features to be used as a fu fetal heart rate (FHR) interpretation method in clinical settings. Methods: The Trium CTG Online® was used as the computer analysis software. Twenty-six cases of intrapartum FHR tracings (total time, 6900 min) were randomly selected from third-trimester pregnancies. Three obstetricians blinded to the patients' clinical information traced the decelerations, variability, and baseline cardiotocogram (CTG) data. Three obstetrician observer individually interpreted the data and only the waveforms they interpreted were adopted. The agreement between the deceleration and baseline, variability, and level of five-tier system was estimated. Weighted kappa (κ) statistics were used to assess reliability. Results: Based on the observers and Trium's classification, κ was 0.78 and the strength of agreement level was substantial. The obstetricians and Trium mostly agreed on the variability and baseline data. However, κ of each deceleration was approximately 0.65 (0.63–0.66), with substantial strength of agreement. Conclusion: Based on the obstetricians and Trium's interpretation, the latter was found to be excellent for FHR interpretation. However, it was difficult for Trium to interpret specific waveform patterns. Therefore, clinical staff should understand these characteristics to more sensitively evaluate the fetal well-being.