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International Journal of Obstetric Anesthesia
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    • Liu, N1
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    • Tan, CW1
    • Tan, HS1
    • Zhang, J1

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    • International Journal of Obstetric Anesthesia1

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    • Patient-controlled epidural analgesia1
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    • Original Article

      Prediction of breakthrough pain during labour neuraxial analgesia: comparison of machine learning and multivariable regression approaches

      International Journal of Obstetric Anesthesia
      Vol. 45p99–110Published online: August 25, 2020
      • H.S. Tan
      • N. Liu
      • R. Sultana
      • N-L.R. Han
      • C.W. Tan
      • J. Zhang
      • and others
      Cited in Scopus: 8
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        Epidural analgesia has excellent clinical efficacy and safety and is the gold standard for labour pain relief.1 However, effective analgesia is dependent on the interplay of obstetric factors, anaesthetic variables, and labour progression. Hence, an estimated 0.9%–25%2–6 of parturients experience breakthrough pain,2 with an adverse impact on satisfaction and healthcare workload. Accurate a priori identification of parturients at risk for breakthrough pain would facilitate individualised risk-counselling and optimisation of labour analgesia.
        Prediction of breakthrough pain during labour neuraxial analgesia: comparison of machine learning and multivariable regression approaches
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