东努沙登加拉地区长时间难产预测模型:多元自适应回归样条分析

Y. C. Rogaleli, Mariana Ngundju Awang
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引用次数: 0

摘要

延长和难产是一种可能导致产妇和胎儿死亡的异常分娩。本研究建立了预测东努沙登加拉地区分娩时间延长和难产的模型。2017年11月,对在东努沙登加拉公共卫生机构分娩的570名妇女进行了一项基于卫生设施的病例对照研究。数据是通过检查产前记录、母亲卡和分产获得的。在双变量分析中,所有通过卡方分类检验和数值变量独立t检验确定p值小于0.25的变量都被纳入多变量分析。采用多变量自适应样条回归(MARS)分析建立最终预测模型。本研究发现,Hb为156 cm、>为149 cm、有正常产程史、胎儿在头后、孕期体重增加<12.3 kg、孕前BMI <28.9 kg/m2的妇女26、bbb34被确定为降低延长和难产风险的因素。总之,产妇特征(年龄、胎次、身高和分娩方式史)、产妇营养状况(孕前体重指数、妊娠期体重增加和血红蛋白水平)和胎儿状态(胎儿身高和胎儿表现)是结局的重要预测因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction Model of Prolonged and Obstructed Labor in East Nusa Tenggara: A Multivariate Adaptive Regression Splines Analysis
Prolonged and obstructed labor are the type of abnormal labor that may lead to maternal and fetal mortality. This study established the model for predicting prolonged and obstructed labor in East Nusa Tenggara. A health facilities-based case-control study was conducted in November 2017 among 570 women who gave birth at public health facilities in East Nusa Tenggara. Data were obtained by reviewing antenatal records, the mother's card, and partographs. In bivariate analysis, all variables with a p-value less than 0.25 determined by chi-square for categorical and independent t-test for numerical variables were included in multivariate analysis. Multivariate Adaptive Regression Splines (MARS) analysis was used to establish the final prediction model. The present study found that women <22, >26, and >34, with Hb levels of <12.5 gr%, and had nulliparity or multiparity (4 times) were reported as a higher risk of prolonged and obstructed labor. Meanwhile women with a fundal height of <34 cm, a height of >156 cm and >149 cm, a history of normal labor, presentation of the fetus behind the head, gestational weight gain of <12.3 kg, and pre-pregnancy BMI of <28.9 kg/m2 were identified as factors decreasing the risk of prolonged and obstructed labor. In conclusion, significant predictors of the outcome were maternal characteristics (age, parity, height, and history of labor method), maternal nutrition status (BMI pre-pregnancy, gestational weight gain, and hemoglobin levels), and fetal status (fundal height and fetal presentation).
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