Evers I M, de Valk H W, Mol B W J, ter Braak E W M T, Visser G H A
Department of Obstetrics, University Medical Centre, Utrecht, The Netherlands.
Diabetologia. 2002 Nov;45(11):1484-9. doi: 10.1007/s00125-002-0958-7. Epub 2002 Sep 25.
AIMS/HYPOTHESIS: To investigate the incidence of foetal macrosomia (i.e. birth weight >90th percentile) in a non-selected nationwide cohort of women with Type I (insulin-dependent) diabetes mellitus in The Netherlands and to identify risk indicators predictive for macrosomia.
We conducted a prospective nationwide cohort based survey regarding the outcome of Type I diabetic pregnancy in The Netherlands. Data of 289 women who gave birth to a live singleton infant without major congenital malformations at more than or equal to 28 weeks of gestation are shown.
The incidence of foetal macrosomia was very high (48.8%), with 26.6% of infants weighing more than 97.7th percentile. Glycaemic control during pregnancy was good (i.e. mean HbA(1c) <or=7.0%), in almost all (84%) women. Multiple logistic regression analysis resulted in a predictive model for macrosomia that incorporated five variables: third trimester HbA(1c) (Odds Ratio [95% Confidence Interval]: (1.6[1.1-2.4]), absence of third trimester severe hypoglycaemia (3.0[1.2-7.3]), the use of insulin lispro (3.1[0.9-10.4]), weight gain during pregnancy (1.1[1.0-1.2]) and non-smoking (2.8[0.9-9.3]). Third trimester HbA(1c) was the most powerful predictor for the occurrence of macrosomia, but its predictive capacity was weak (explained variance <5%).
CONCLUSION/INTERPRETATION: Despite apparent good glycaemic control, the incidence of foetal macrosomia in this non-selected prospective nationwide cohort of 289 Type I diabetic women was very high. Third trimester HbA(1c) was the most powerful predictor, but its predictive capacity was weak. Thus, future research should focus on new more detailed glucose monitoring techniques (such as a continuous glucose monitoring system) as well as to alternative factors to reduce macrosomia.
目的/假设:调查荷兰全国范围内非选择性的I型(胰岛素依赖型)糖尿病女性队列中巨大儿(即出生体重>第90百分位数)的发生率,并确定预测巨大儿的风险指标。
我们针对荷兰I型糖尿病妊娠结局进行了一项前瞻性全国队列调查。展示了289名在妊娠28周及以上分娩出无重大先天性畸形的单活胎婴儿的女性的数据。
巨大儿的发生率非常高(48.8%),26.6%的婴儿体重超过第97.7百分位数。几乎所有(84%)女性孕期血糖控制良好(即平均糖化血红蛋白≤7.0%)。多因素逻辑回归分析得出了一个巨大儿预测模型,该模型纳入了五个变量:孕晚期糖化血红蛋白(比值比[95%置信区间]:(1.6[1.1 - 2.4]))、孕晚期无严重低血糖(3.0[1.2 - 7.3])、使用赖脯胰岛素(3.1[0.9 - 10.4])、孕期体重增加(1.1[1.0 - 1.2])和不吸烟(2.8[0.9 - 9.3])。孕晚期糖化血红蛋白是巨大儿发生的最强预测指标,但其预测能力较弱(解释方差<5%)。
结论/解读:尽管血糖控制看似良好,但在这个由289名I型糖尿病女性组成的非选择性前瞻性全国队列中,巨大儿的发生率非常高。孕晚期糖化血红蛋白是最强的预测指标,但其预测能力较弱。因此,未来的研究应聚焦于新的更详细的血糖监测技术(如持续血糖监测系统)以及其他可降低巨大儿发生率的因素。