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妊娠期糖尿病诊断时的母体及生物学参数对预测新生儿发病率的效能

Efficacy of maternal and biological parameters at the time of diagnosis of gestational diabetes mellitus in predicting neonatal morbidity.

作者信息

Ducarme Guillaume, Desroys Du Roure François, Le Thuaut Aurélie, Grange Joséphine, Dimet Jérôme, Crepin-Delcourt Ingrid

机构信息

Department of Obstetrics and Gynecology, Centre Hospitalier Departemental, La Roche sur Yon, France.

Department of Biology, Centre Hospitalier Departemental, La Roche sur Yon, France.

出版信息

Eur J Obstet Gynecol Reprod Biol. 2018 Feb;221:113-118. doi: 10.1016/j.ejogrb.2017.12.036. Epub 2017 Dec 19.

Abstract

OBJECTIVE

Gestational diabetes mellitus (GDM) is independently associated with an increased risk of maternal-fetal complications. Improved glycemic control allows reducing perinatal morbidity and mortality and, specifically, the risk of macrosomia and shoulder dystocia which are the most common complications associated with GDM. Nonetheless, a need for early antenatal predictor of neonatal morbidity in women suffering from GDM is required. The objective of the study was to evaluate the efficacy of different maternal, biological, and antenatal parameters at the time of diagnosis of GDM or perinatal variables as predictors of neonatal morbidity.

STUDY DESIGN

This was a prospective observational study recruited all pregnant women with diagnosis of GDM at first- or second-trimester in a tertiary care hospital from July 2014 to October 2015. Different antenatal parameters (maternal weight, weight gain during pregnancy, history of GDM, history of macrosomia, serum fructosamine, HbA1c) were obtained at the time of diagnosis of GDM. Mode of delivery was also analyzed. Neonatal morbidity was defined by at least one of the following criteria: preterm birth <37 weeks, macrosomia, shoulder dystocia, respiratory distress syndrome, 5-min Apgar score <7, pH < 7.10 and admission to the NICU (neonatal intensive care unit) for 24 h. Univariate and logistic regression analyses were performed to determine independent antenatal predictors of neonatal morbidity.

RESULTS

Two hundred pregnant women with diagnosis of GDM were included. The mean gestational age at the time of diagnosis of GDM was 22 ± 6 weeks. Insulin was required in 72/200 (36%) women for glycemic control during pregnancy. Neonatal morbidity occurred in 21% (n = 42). In the univariate analysis, neonatal morbidity was associated with nulliparity (50% compared to 32%, p = 0.03), induction of labor (36% compared to 27%, p = 0.03) and cesarean section (36% compared to 12%, p < 0.01). Multivariable logistic regression analysis found a significant association between nulliparity and neonatal morbidity (adjusted odds ratio [OR] 2.3, 95% confidence interval [CI] 1.1-4.7). Cesarean delivery was also significantly associated with neonatal morbidity (aOR 7.6, 95% CI 2.9-20).

CONCLUSION

This suggests that nulliparity was an efficient antenatal predictor of neonatal morbidity at the time of diagnosis of GDM. Cesarean section was also associated with neonatal morbidity in women with GDM.

摘要

目的

妊娠期糖尿病(GDM)与母婴并发症风险增加独立相关。改善血糖控制可降低围产期发病率和死亡率,特别是巨大儿和肩难产的风险,这是与GDM相关的最常见并发症。尽管如此,仍需要一种早期产前预测指标来预测GDM女性新生儿的发病情况。本研究的目的是评估在GDM诊断时不同的母体、生物学和产前参数或围产期变量作为新生儿发病预测指标的有效性。

研究设计

这是一项前瞻性观察性研究,纳入了2014年7月至2015年10月在一家三级护理医院首次或第二孕期诊断为GDM的所有孕妇。在GDM诊断时获取不同的产前参数(母体体重、孕期体重增加、GDM病史、巨大儿病史、血清果糖胺、糖化血红蛋白A1c)。还分析了分娩方式。新生儿发病定义为符合以下至少一项标准:早产<37周、巨大儿、肩难产、呼吸窘迫综合征、5分钟阿氏评分<7、pH<7.10以及入住新生儿重症监护病房(NICU)24小时。进行单因素和逻辑回归分析以确定新生儿发病的独立产前预测指标。

结果

纳入了200例诊断为GDM的孕妇。GDM诊断时的平均孕周为22±6周。72/200(36%)的女性在孕期需要胰岛素来控制血糖。新生儿发病率为21%(n = 42)。在单因素分析中,新生儿发病与初产(50%对比32%,p = 0.03)、引产(36%对比27%,p = 0.03)和剖宫产(36%对比12%,p<0.01)相关。多变量逻辑回归分析发现初产与新生儿发病之间存在显著关联(调整后的优势比[OR]为2.3,95%置信区间[CI]为1.1 - 4.7)。剖宫产也与GDM女性的新生儿发病显著相关(aOR 7.6,95% CI 2.9 - 20)。

结论

这表明初产是GDM诊断时新生儿发病的有效产前预测指标。剖宫产也与GDM女性的新生儿发病相关。

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