Alberico Salvatore, Montico Marcella, Barresi Valentina, Monasta Lorenzo, Businelli Caterina, Soini Valentina, Erenbourg Anna, Ronfani Luca, Maso Gianpaolo
Epidemiology and Biostatistics Unit, Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", via dell'Istria 65/1, 34137 Trieste Italy.
BMC Pregnancy Childbirth. 2014 Jan 15;14:23. doi: 10.1186/1471-2393-14-23.
It is crucial to identify in large population samples the most important determinants of excessive fetal growth. The aim of the study was to evaluate the independent role of pre-pregnancy body mass index (BMI), gestational weight gain and gestational diabetes on the risk of macrosomia.
A prospective study collected data on mode of delivery and maternal/neonatal outcomes in eleven Hospitals in Italy. Multiple pregnancies and preterm deliveries were excluded. The sample included 14109 women with complete records. Associations between exposure variables and newborn macrosomia were analyzed using Pearson's chi squared test. Multiple logistic regression models were built to assess the independent association between potential predictors and macrosomia.
Maternal obesity (adjusted OR 1.7, 95% CI 1.4-2.2), excessive gestational weight gain (adjusted OR 1.9, 95% CI 1.6-2.2) and diabetes (adjusted OR 2.1, 95% CI 1.5-3.0 for gestational; adjusted OR 3.0, 95% CI 1.2-7.6 for pre-gestational) resulted to be independent predictors of macrosomia, when adjusted for other recognized risk factors. Since no significant interaction was found between pre-gestational BMI and gestational weight gain, excessive weight gain should be considered an independent risk factor for macrosomia. In the sub-group of women affected by gestational or pre-gestational diabetes, pre-gestational BMI was not significantly associated to macrosomia, while excessive pregnancy weight gain, maternal height and gestational age at delivery were significantly associated. In this sub-population, pregnancy weight gain less than recommended was not significantly associated to a reduction in macrosomia.
Our findings indicate that maternal obesity, gestational weight gain excess and diabetes should be considered as independent risk factors for newborn macrosomia. To adequately evaluate the clinical evolution of pregnancy all three variables need to be carefully assessed and monitored.
在大样本人群中确定胎儿过度生长的最重要决定因素至关重要。本研究的目的是评估孕前体重指数(BMI)、孕期体重增加和妊娠期糖尿病对巨大儿风险的独立作用。
一项前瞻性研究收集了意大利11家医院的分娩方式及母婴结局数据。排除多胎妊娠和早产。样本包括14109名记录完整的女性。使用Pearson卡方检验分析暴露变量与新生儿巨大儿之间的关联。构建多元逻辑回归模型以评估潜在预测因素与巨大儿之间的独立关联。
调整其他公认的风险因素后,母亲肥胖(调整后的比值比为1.7,95%可信区间为1.4 - 2.2)、孕期体重过度增加(调整后的比值比为1.9,95%可信区间为1.6 - 2.2)和糖尿病(妊娠期糖尿病调整后的比值比为2.1,95%可信区间为1.5 - 3.0;孕前糖尿病调整后的比值比为3.0,95%可信区间为1.2 - 7.6)是巨大儿的独立预测因素。由于未发现孕前BMI与孕期体重增加之间存在显著交互作用,体重过度增加应被视为巨大儿的独立危险因素。在妊娠期或孕前糖尿病患者亚组中,孕前BMI与巨大儿无显著关联,而孕期体重过度增加、母亲身高和分娩时的孕周与巨大儿显著相关。在该亚人群中,孕期体重增加低于推荐值与巨大儿减少无显著关联。
我们的研究结果表明,母亲肥胖、孕期体重增加过多和糖尿病应被视为新生儿巨大儿的独立危险因素。为了充分评估妊娠的临床进展,所有这三个变量都需要仔细评估和监测。