論文

国際誌
2021年3月

Intrapartum cardiotocogram monitoring between obstetricians and computer analysis.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
  • Shoichi Magawa
  • ,
  • Hiroaki Tanaka
  • ,
  • Fumi Furuhashi
  • ,
  • Shintaro Maki
  • ,
  • Masafumi Nii
  • ,
  • Kuniaki Toriyabe
  • ,
  • Eiji Kondo
  • ,
  • Tomoaki Ikeda

34
5
開始ページ
787
終了ページ
793
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1080/14767058.2019.1617688

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.

リンク情報
DOI
https://doi.org/10.1080/14767058.2019.1617688
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/31072186
ID情報
  • DOI : 10.1080/14767058.2019.1617688
  • PubMed ID : 31072186

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