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首页> 外文期刊>British Journal of Medicine and Medical Research >Predictive Score of Maternal and Foetal Prognosis during Labour in Primiparous Woman in a Congolese Hospital
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Predictive Score of Maternal and Foetal Prognosis during Labour in Primiparous Woman in a Congolese Hospital

机译:刚果医院初产妇女分娩时母婴预后的预测得分

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Background: In Africa, primiparity is associated with high maternal and neonatal morbidity and mortality during pregnancy and childbirth. This study aims to establish a clinical score to identify the primiparous parturients at risk of pejorative evolution. Methodology: This was a case-control study nested in ROC analysis, aiming diagnosis. During the period from April 1st, 2012 to June 30th 2013, the 1230 primiparous who gave birth at the O?cha General Reference Hospital in the Democratic Republic of Congo were selected for this study. The primiparous were divided into an evaluation group (n = 686) and a validation group (n = 544). The evaluation group was subjected to a multi-variate analysis with conditional logistic regression to search for risk factors for the pejorative evolution of labour, which allowed the construction of the "Juakali score" for alerting about a bad prognosis of labour. The ROC analysis had revealed the threshold value and the area below the ROC curve, the discriminatory power. Results: The overall prevalence of pejorative evolution was 14.8%. Risk factors: age = 26 years, Height 2, cervical dilatation rate <1cm / h at the latent phase. The score varied from 0 to 9 with a threshold value of 6, from which the positive predictive value was 75.3% in the assessment group (AUC = 0.924) and 63% (AUC = 0.922) for the validation. Conclusion: The Juakali Score is a reliable tool for predicting the pejorative evolution of labour, which can be used to adjust driving behaviour early in labour monitoring.
机译:背景:在非洲,初产与孕妇和新生儿的高发病率和死亡率有关。这项研究的目的是建立临床评分,以鉴定处于有脓性演变风险的初产妇。方法:这是一个病例对照研究,嵌套在ROC分析中,旨在诊断。在2012年4月1日至2013年6月30日期间,在刚果民主共和国奥查综合参考医院分娩的1230例初产婴儿为选择此项研究。初生动物分为评估组(n = 686)和验证组(n = 544)。对评估组进行了多因素分析,并进行了条件逻辑回归分析,以寻找导致劳动性脓性演变的危险因素,从而可以建立“ Juakali评分”,以警告不良劳动预后。 ROC分析显示了阈值和ROC曲线下方的区域,即判别力。结果:脓性演变的总体患病率为14.8%。危险因素:年龄= 26岁,身高2 ,潜伏期子宫颈扩张速度<1cm / h。分数从0到9不等,阈值为6,评估组的阳性预测值为75.3%(AUC = 0.924),验证的阳性预测值为63%(AUC = 0.922)。结论:Juakali评分是一种可靠的工具,可以预测劳动的劳动性演变,可以在劳动监察中用于早期调整驾驶行为。

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