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Trial of Labour after Caesarean Section: A 5-Year Review
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作者 Francis Olayemi Adebayo Rafat Bolanle Muhammad +1 位作者 Nathaniel Adewole Adedeji Oyeniyi Adesope 《Open Journal of Obstetrics and Gynecology》 2018年第12期1121-1129,共9页
Background: Trial of labour after Caesarean section (TOLAC) refers to an attempt at vaginal delivery after a previous caesarean section. Outcome is influenced by a number of factors which are important in patient’s s... Background: Trial of labour after Caesarean section (TOLAC) refers to an attempt at vaginal delivery after a previous caesarean section. Outcome is influenced by a number of factors which are important in patient’s selection. Objectives: The aim of this study was to find out the incidence and feto-maternal outcome of the practice of Trial of labour after Caesarean section. Methodology: This is a retrospective study of cases of vaginal birth after Caesarean section Data were retrieved from the case notes of patients who attempted vaginal birth after Caesarean section from January 1, 2013 to December 31, 2017, a period of five years. Result: There were 10,669 deliveries, 3179 of which were through Caesarean section. This gave a Caesarean section rate of 29.8%. A total of 217 patients attempted vaginal birth after Caesarean section and 83 ended up as repeat Caesarean section (38.2%) while 138 (61.8%) had successful vaginal birth after Caesarean section. Patients with previous vaginal delivery, age range 25 - 29 years and interdelivery interval of greater than or equal to 2 years were more successful at achieving vaginal birth after Caesarean section. The leading indications for the repeat Caesarean section include cephalopelvic disproportion (45.8%), poor progress of labour (19.3%) and hypertensive disorders of pregnancy (8.4%). Conclusion: Vaginal birth after Caesarean section was successful in most of the parturients that attempted it in this study especially in patients within the age range of 25 - 29 years, those that have had previous vaginal delivery and with interdelivery interval of greater than or equal to 2 years. 展开更多
关键词 TRIAL of Labour after caesarean section vaginal birth after caesarean section Inter-Delivery Interval
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剖宫产术后阴道试产人群缩宫素智能调控模型的构建
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作者 胡婷婷 张艺超 +3 位作者 袁贞明 李建宏 卢中秋 朱晓玲 《温州医科大学学报》 2022年第4期266-271,共6页
目的:构建剖宫产术后阴道试产(VBAC)人群缩宫素(OT)智能调控模型,进一步探索产时OT用药的智能精准调控方案。方法:收集2014年1月至2020年5月于温州医科大学附属第一医院产科分娩,并在产程中使用OT的VBAC产妇相关资料,对电子病历资料运... 目的:构建剖宫产术后阴道试产(VBAC)人群缩宫素(OT)智能调控模型,进一步探索产时OT用药的智能精准调控方案。方法:收集2014年1月至2020年5月于温州医科大学附属第一医院产科分娩,并在产程中使用OT的VBAC产妇相关资料,对电子病历资料运用多重线性回归法筛选建模变量,并结合胎心宫缩图提取的胎心、宫缩频率等变量,基于XGBoost算法建立OT调控模型,同时与Logistic回归模型和传统决策树进行比较,以准确率、查准率、召回率、F1值评价模型预测性能,并验证模型临床应用效果。结果:共纳入124例VBAC产妇,1005条OT调节记录,XGBoost模型性能最佳,5折交叉验证下模型的准确率为0.82,查准率0.84,召回率0.80,F1值0.82,其中宫缩持续时间、宫腔压力、胎心、宫缩频率和前次剖宫产间隔时间是对建模贡献度较大的变量。临床验证表明预测模型精确度接近专家的决策水平,并优于低年资助产士。结论:本研究基于XGBoost构建OT调控模型,实现了产时OT的实时智能调控,其响应速度快、模型精度高、外推性强,对产科临床护理工作具有积极意义。 展开更多
关键词 剖宫产术后阴道试产 智能输液系统 XGBoost 缩宫素
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剖宫产术后经阴道分娩预测模型的建立 被引量:8
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作者 胡海燕 钟梅 +2 位作者 罗漫灵 尹倩 刘慈娣 《实用妇产科杂志》 CAS CSCD 北大核心 2019年第3期195-198,共4页
目的:建立适用于本地区的剖宫产术后阴道分娩(VBAC)预测模型,增加VBAC的安全性。方法:通过对330例剖宫产术后阴道试产(TOLAC)孕妇进行前瞻性队列研究,采集试产孕妇的临床资料,运用Logistic多因素回归分析构建VBAC预测模型。结果:①研究... 目的:建立适用于本地区的剖宫产术后阴道分娩(VBAC)预测模型,增加VBAC的安全性。方法:通过对330例剖宫产术后阴道试产(TOLAC)孕妇进行前瞻性队列研究,采集试产孕妇的临床资料,运用Logistic多因素回归分析构建VBAC预测模型。结果:①研究样本阴道试产成功266例,阴道试产失败再次剖宫产分娩64例,阴道分娩成功率为80.6%。在VBAC成功组里有2例孕产妇子宫破裂,无产妇或者新生儿死亡等严重病例。②VBAC成功率=1-exp(w)/[1+exp(w)];W=20.486+0.096×年龄(岁)-0.153×身高(cm)+0.128×孕期增加体质量(kg)-1.516×阴道分娩史-0.008×入院时子宫颈消失(%)-0.938×引产(阴道分娩史:0否,1是;引产:0否,1是)。③VBAC预测模型的灵敏度、特异度及总判断率分别为97.7%、20.3%及82.6%。结论:VBAC预测模型对VBAC具有较准确的预测能力,能够提高VBAC的安全性。 展开更多
关键词 剖宫产术后阴道分娩 预测模型 LOGISTIC回归
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