预防孕妇先天性畸形:基于阿尔及利亚东部人口研究的预测模型

Adel Kalla, L. Loucif, M. Yahia
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摘要

世界卫生组织(WHO)将先天性畸形定义为出生时出现的任何严重异常,即使它不能立即被发现。在这里,我们的目的是确定因素易患先天性畸形的孕妇在阿尔及利亚东部和影响几个因素的组合。共采访了786名孕妇。在整个研究过程中,我们试图找到答案,讨论畸形暴露之间的关系,确定危险因素,并使用统计分析技术预测畸形的发生。我们开发了一个预测模型,我们发现34岁以上的孕妇畸形明显更高(10.93;95%CI: 2.10-201.71, p=0.023), BMI超过25 (2.38;0.91-7.04, p=0.091),高血压(2.18;1.04 ~ 4.57, p=0.038),贫血(2.08;0.98-4.35, p=0.053)和感染(2.32;1.18 - -4.58;p = 0.015)。防止畸形的因素包括适度的肉类饮食(1.97;0.73-4.98, p=0.163),富含鸡蛋、软饮料和水果蔬菜(2.69;0.76-8.63, p=0.106), (1.84;0.74-4.43, p=0.177), (3.08;0.56 - -13.28, p = 0.154);分别。了解危险因素有助于建立预防畸形的预测模型和策略,并强调畸形与多种危险因素之间的联系,以保护婴儿的生命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prevention of congenital malformations for pregnant women: a predictive model based on a study in eastern Algeria’s population
The World Health Organization (WHO) defines congenital malformation as any gross abnormality present at birth even if it is not immediately recognized. Here, we aimed to identify the factors predisposing to congenital malformations in pregnant women in Eastern Algeria and the effect of the combination of several factors. 786 pregnant women were interviewed. Throughout our study, we sought to find answers, discuss the association between malformation exposure, identify the risk factors, and predict the occurrence of malformations using statistical analysis techniques. We developed a predictive model and we found that malformations were significantly higher for pregnant women aged over 34 (10.93; 95%CI: 2.10-201.71, p=0.023), with a BMI over 25 (2.38; 0.91-7.04, p=0.091), hypertension (2.18; 1.04-4.57, p=0.038), anemia (2.08; 0.98-4.35, p=0.053) and infections (2.32; 1.18-4.58; p=0.015). Protecting factors against malformations includes diet moderate in meat (1.97; 0.73-4.98, p=0.163) and rich in eggs, soft drinks, and fruit-vegetables (2.69; 0.76-8.63, p=0.106), (1.84; 0.74-4.43, p=0.177), (3.08; 0.56-13.28, p=0.154); respectively. Knowing risk factors helps to establish predictive models and strategies to prevent malformations and highlights the link between malformations and multiple risk factors for the sake of protecting babies’ lives.
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