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Factors influencing macrosomia in pregnant women in a tertiary care hospital in Malaysia

机译:马来西亚一家三级医院的孕妇巨大儿的影响因素

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Aim: To identify the risk factors influencing the development of macrosomia among pregnant women and to develop a regression model to predict macrosomia. Methods: A cross-sectional study was conducted in a tertiary hospital in Malaysia involving 2332 pregnant women. The data was retrospectively collected from the obstetrics and gynecology department. The factors that influence fetal weight were collected from the antenatal cards and any additional information was collected by face-to-face interview using a questionnaire. A multiple regression model was developed to predict macrosomia using SPSS ver. 18. Results: The significant variables that influence macrosomia in this study were mother's age, mother's body mass index (BMI), weight gain, parity, mother's ethnicity, father's BMI, gestational week, diabetes during pregnancy and neonatal sex. Diabetes during pregnancy is an important risk factor for macrosomia; by using this parameter alone the risk of macrosomia can be predicted with a sensitivity rate of 70% and specificity of 70%. By including other maternal factors such as maternal age, pre-pregnancy BMI, weight gain, parity, ethnicity, as well as father's BMI, gestational weeks and neonate sex, the sensitivity and specificity were improved to 80% and 75%, respectively. Conclusion: A regression model was developed and this could be used in health centers to predict macrosomia for purpose of referral to higher centers.
机译:目的:确定影响孕妇巨大儿发育的危险因素,并建立回归模型预测大儿。方法:横断面研究在马来西亚的一家三级医院进行,涉及2332名孕妇。该数据是从妇产科回顾性收集的。从产前检查卡中收集影响胎儿体重的因素,并使用问卷通过面对面访谈收集任何其他信息。开发了多元回归模型以使用SPSS ver。 18.结果:在这项研究中,影响巨人症的重要变量是母亲的年龄,母亲的体重指数(BMI),体重增加,胎次,母亲的种族,父亲的BMI,孕周,怀孕期间的糖尿病和新生儿性别。怀孕期间的糖尿病是巨大儿的重要危险因素。通过单独使用此参数,可以以70%的敏感度和70%的特异性预测巨大儿的风险。通过纳入其他孕产妇因素,例如孕产妇年龄,孕前BMI,体重增加,产后性别,种族以及父亲的BMI,孕周和新生儿性别,敏感性和特异性分别提高到80%和75%。结论:已开发出一种回归模型,该模型可在医疗中心用于预测巨大儿,以便转诊至更高的医疗中心。

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