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Maternal BMI at the time of birth and selected risk factors associated with severe neonatal outcomes: a secondary analysis of the WHO Better Outcomes in Labour Difficulty (BOLD) project

机译:出生时的母体BMI和与严重新生儿结果相关的选定风险因素:对劳动力难度(大胆)项目更好的结果的二级分析

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The main objective of this secondary analysis was to describe the nutritional status of the Better Outcomes in Labour Difficulty (BOLD) project study population and determine possible associations between maternal nutritional status (as reflected by maternal BMI at the time of birth) and severe neonatal outcomes (SNO). We also analysed previous and index maternal pathologies to determine associations with neonatal outcomes. We used the classification designed by Atalah for maternal BMI and compared with the Hyperglycaemia and Adverse Pregnancy Outcome study one. To describe the nutritional status of this population, figures of distribution and test of normality related to weight and BMI were presented for the women and their babies. To explore the association between maternal BMI data and SNO, the chi(2)test was performed. To identify a maternal characteristic or a group of characteristics that could predict SNO, we used Fisher's exact test using previous maternal pathology collected in the BOLD project as well as that in the index pregnancy. In this study, BMI at the time of birth was not associated with neonatal near miss or death. We found that previous maternal obesity, diabetes and chronic hypertension were associated with SNO. Maternal pathology in the index pregnancy such as other obstetric haemorrhage, pre-eclampsia, anaemia and gestational diabetes was associated with SNO.
机译:本次二次分析的主要目的是描述分娩困难(BOLD)项目研究人群的营养状况,并确定产妇营养状况(由产妇出生时的BMI反映)与严重新生儿结局(SNO)之间的可能关联。我们还分析了以前的母亲病理学和指数,以确定与新生儿结局的关系。我们使用Atalah设计的产妇BMI分类,并与高血糖和不良妊娠结局研究一进行比较。为了描述这一人群的营养状况,为这些妇女及其婴儿提供了与体重和BMI相关的分布图和正常性测试。为了探讨母亲BMI数据与SNO之间的关联,进行了chi(2)检验。为了确定可以预测SNO的母亲特征或一组特征,我们使用Fisher精确检验,使用了BOLD项目中收集的先前母亲病理学以及妊娠指数中收集的病理学。在这项研究中,出生时的BMI与新生儿未遂或死亡无关。我们发现,以前的母亲肥胖、糖尿病和慢性高血压与SNO有关。指数妊娠中的母亲病理学,如其他产科出血、先兆子痫、贫血和妊娠糖尿病与SNO相关。

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