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Accuracy of variation of epidural labor analgesia in predicting cesarean section / 中华麻醉学杂志
Chinese Journal of Anesthesiology ; (12): 680-683, 2018.
Article in Chinese | WPRIM | ID: wpr-709846
ABSTRACT
Objective To evaluate the accuracy of variation of epidural labor analgesia in predicting cesarean section.Methods A total of 1 200 parturients with a single baby who were at full term with a singleton fetus,aged 22-34 yr,weighing 60-85 kg,of American Society of Anesthesiologists physical status Ⅰ or Ⅱ,volunteered for epidural labor analgesia for pain relief,were enrolled in the study.Epidural labor analgesia (patient-controlled epidural analgesia) was performed when uterine contraction was regular and cervical dilatation was 2-3 cm.Patient-controlled epidural analgesia solution contained the mixture of 0.1% ropivacaine and fentanyl 2 μg/ml with a background infusion 9 ml/h,bolus dose 4 ml,lockout interval 15 min.The variation of labor analgesia was defined as the difference between the highest visual analog scale score during labor and the visual analog scale score at 30 min after epidural injection of the initial dose of local anesthetic.The receiver operating characteristic curve was used to evaluate the accuracy of variation of epidural labor analgesia in predicting cesarean section.The optimal cut-off value was determined according to the maximum Youden index.Results The area under the receiver operating characteristic curve of variation of epidural labor analgesia in predicting cesarean section was 0.795,and the maximum Youden index was 53.6%,the sensitivity 87.5% and the specificity 66.1% when the cut-off value was 3.Conclusion Variation of epidural labor analgesia produces better accuracy in predicting cesarean section.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Anesthesiology Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Anesthesiology Year: 2018 Type: Article