切换至 "中华医学电子期刊资源库"

中华妇幼临床医学杂志(电子版) ›› 2018, Vol. 14 ›› Issue (03) : 311 -316. doi: 10.3877/cma.j.issn.1673-5250.2018.03.010

所属专题: 文献

论著

上海朱泾地区孕妇不同孕期空腹血糖及晚孕期糖化血红蛋白特点分析
田海荣1, 季业1, 黄忠华2, 钱欢2, 汤仙娥2, 李自云1, 沈英娣1, 金治娟2, 刘波1, 刘芳3,()   
  1. 1. 201599 上海市第六人民医院金山分院内分泌科
    2. 201599 上海市第六人民医院金山分院妇产科
    3. 上海交通大学附属第六人民医院内分泌代谢科
  • 收稿日期:2017-12-08 修回日期:2018-05-08 出版日期:2018-06-01
  • 通信作者: 刘芳

Fasting plasma glucose during different trimesters and hemoglobin A1c in the third trimester of pregnant women in Zhujing Region of Shanghai

Hairong Tian1, Ye Ji1, Zhonghua Huang2, Huan Qian2, Xian′e Tang2, Ziyun Li1, Yingdi Shen1, Zhijuan Jin2, Bo Liu1, Fang3 Liu3,()   

  1. 1. Department of Endocrinology, Jinshan Branch of Shanghai Sixth People′s Hospital, Shanghai 201599, China
    2. Department of Obstetrics and Gynecology, Jinshan Branch of Shanghai Sixth People′s Hospital, Shanghai 201599, China
    3. Department of Endocrinology & Metabolism, Shanghai Sixth People′s Hospital, Shanghai Jiao Tong University, Shanghai 200233, China
  • Received:2017-12-08 Revised:2018-05-08 Published:2018-06-01
  • Corresponding author: Fang3 Liu
  • About author:
    Corresponding author: Liu Fang, Email:
引用本文:

田海荣, 季业, 黄忠华, 钱欢, 汤仙娥, 李自云, 沈英娣, 金治娟, 刘波, 刘芳. 上海朱泾地区孕妇不同孕期空腹血糖及晚孕期糖化血红蛋白特点分析[J]. 中华妇幼临床医学杂志(电子版), 2018, 14(03): 311-316.

Hairong Tian, Ye Ji, Zhonghua Huang, Huan Qian, Xian′e Tang, Ziyun Li, Yingdi Shen, Zhijuan Jin, Bo Liu, Fang3 Liu. Fasting plasma glucose during different trimesters and hemoglobin A1c in the third trimester of pregnant women in Zhujing Region of Shanghai[J]. Chinese Journal of Obstetrics & Gynecology and Pediatrics(Electronic Edition), 2018, 14(03): 311-316.

目的

探讨上海朱泾地区孕妇不同孕期空腹血糖(FGP)及晚孕期糖化血红蛋白(HbA1c)的特点。

方法

选择2014年1月1日至12月31日,在上海市第六人民医院金山分院接受产前检查并进行75 g口服葡萄糖耐量试验(OGTT)筛查的606例孕妇为研究对象。按照75 g OGTT筛查结果,将其分为妊娠期糖尿病(GDM)组(n=136)和非GDM组(n=470)。采用回顾性分析方法,采集2组受试者的年龄、人体质量指数(BMI)等一般临床资料,以及2组孕妇早、中、晚孕期FPG浓度和晚孕期HbA1c水平。根据四分位数法,将所有受试者晚孕期HbA1c水平划分为4个范围:Q1(HbA1c值<5.1%)、Q2(5.1%≤HbA1c值<5.2%)、Q3(5.2%≤HbA1c值<5.5%)和Q4(HbA1c值≥5.5%)。采用成组t检验,比较2组孕妇的年龄、BMI、不同孕期FPG浓度和晚孕期HbA1c水平。采用χ2检验,对晚孕期HbA1c水平处于不同范围的所有受试者的GDM发生率进行整体比较,而进一步的两两比较,则调整检验水准后再进行比较。绘制晚孕期HbA1c水平预测GDM发生的受试者工作特征(ROC)曲线,计算ROC曲线下面积(ROC-AUC),根据约登指数最大原则,确定晚孕期HbA1c水平预测GDM发生的最佳临界值,同时计算预测GDM发生的敏感度、特异度。本研究符合2013年修订的《世界医学协会赫尔辛基宣言》。

结果

①GDM组孕妇的年龄、BMI均大于对照组,并且差异均有统计学意义(t=5.306、5.250,P<0.001)。GDM组孕妇中,中孕期FPG浓度最高,为(4.9±0.6)mmol/L,中孕期FPG浓度高于早、晚孕期FPG浓度,并且差异均有统计学意义(t=2.087、1.960,P=0.039、0.041)。非GDM组孕妇中,早孕期FPG浓度最高,为(4.7±0.3)mmol/L,早孕期FPG浓度高于中、晚孕期FPG浓度,并且差异亦均有统计学意义(t=15.230、5.613,P<0.001)。GDM组孕妇早、中、晚孕期FPG浓度均分别高于对照组,并且差异均有统计学意义(t=5.416、15.526、4.471,P<0.001)。GDM组孕妇晚孕期HbA1c水平为(5.6±0.4)%,明显高于非GDM组的(5.4±0.4)%,2组比较,差异亦有统计学意义(t=22.707,P<0.001)。②HbA1c水平处于不同范围的所有受试者的GDM发生率整体比较,差异有统计学意义(χ2=22.707,P<0.001)。进一步对GDM发生率进行两两比较的结果显示,HbA1c水平处于Q1、Q2范围的受试者的GDM发生率,均低于处于Q4范围的受试者的GDM发生率,差异均有统计学意义(χ2=15.071,16.785,P<0.001)。③ROC曲线分析结果显示,晚孕期HbA1c水平预测GDM发生的ROC-AUC为0.647(95%CI:0.625~0.672,P<0.001)。根据约登指数最大原则,晚孕期HbA1c水平预测GDM发生的最佳临界值为5.5%,此时其预测GDM发生的敏感度为63.4%,特异度为69.7%。

结论

上海朱泾地区GDM孕妇FPG浓度从早孕期即开始升高,在中孕期达到高峰,经过对其生活方式进行干预后,在晚孕期有所下降。GDM孕妇晚孕期HbA1c水平建议控制在5.5%以下为宜。

Objective

To investigate features of fasting plasma glucose (FPG) during different trimesters and hemoglobin A1c (HbA1c) in the third trimester of pregnant women in Zhujing Region of Shanghai.

Methods

A total of 606 cases of pregnant women who received prenatal examination and 75 g oral glucose tolerance test (OGTT) in Jinshan Branch of Shanghai Sixth People′s Hospital from January 1 to December 31, 2014 were collected as research subjects. According to the results of 75 g OGTT, they were divided into gestational diabetes mellitus (GDM) group (n=136) and non-GDM group (n=470). The clinical data, such as age, body mass index (BMI), as well as the concentration of FPG during different pregnancy trimesters and level of HbA1c in the third trimester were collected retrospectively in both two groups by retrospective analysis method. According to the quartile method, level of HbA1c in the third trimester of all subjects were divided into four ranges: Q1 (HbA1c level<5.1%), Q2 (5.1%≤HbA1c level<5.2%), Q3 (5.2%≤HbA1c level<5.5%), and Q4 (HbA1c level≥5.5%), respectively. The age, BMI, concentrations of FPG and the level of HbA1c between two groups were compared by independent-samples t test. Chi-square test was used to compare the GDM incidence of all subjects with different ranges of HbA1c level in the third trimester, and further comparison was conducted by adjusting inspection level. Then receiver operator characteristic (ROC) curve of HbA1c level in the third trimester for predicting the incidence of GDM was drawn, and the area under ROC curve (ROC-AUC) was calculated. The optimal critical value of HbA1c level in the third trimester for predicting the incidence of GDM was obtained when the Youden index reaching the maximum value. And its sensitivity and specificity were calculated. This study met the requirements of the World Medical Association Declaration of Helsinki revised in 2013.

Results

①The age and BMI of GDM group were higher than those in non-GDM group, and there were statistically significant differences (t=5.306, 5.250; P<0.001). Among the subjects in GDM group, the concentration of FPG in second trimester was the highest among 3 trimesters, which was (4.9±0.6) mmol/L, and the concentration of FPG in second trimester was higher than that in first and third trimester, respectively, and both the differences were statistically significant (t=2.087, 1.960; P=0.039, 0.041). Among the subjects in non-GDM group, the concentration of FPG in first trimester was the highest among 3 trimesters, which was (4.6±0.3) mmol/L, and the concentration of FPG in first trimester was higher than that in second and third trimester, respectively, and both the differences were statistically significant (t=15.230, 5.613; P<0.001). The concentration of FPG in first, second and third trimesters of GDM group were higher than those of non-GDM group, respectively, and there were statistically significant differences (t=5.416, 15.526, 4.471; P<0.001). Besides, HbA1c level in third trimester of GDM group was (5.6±0.4)%, which was higher than that of non-GDM group (5.4±0.4)%, and there was significant difference (t=5.845, P<0.01). ②There was statistical difference in GDM incidences in all subjects with different ranges of HbA1c levels in third trimester (χ2=22.707, P<0.001). Multiple comparison results showed that the incidences of GDM in all subjects with Q1 and Q2 ranges of HbA1c levels in third trimester were higher than that in subjects with Q4 range of HbA1c levels in third trimester, respectively, and both the differences were statistically significant (χ2=15.071, 16.785; P<0.001). ③The results of ROC curve analysis of HbA1c level in third trimester in predicting the incidence of GDM showed that the ROC-AUC was 0.647 (95%CI: 0.625-0.672, P<0.001), and the optimal cut-off value of HbA1c level in third trimester to predict GDM incidence was 5.5%, and the sensitivity of HbA1c level in predicting the incidence of GDM was 63.4%, and the sensitivity was 69.7%.

Conclusions

The concentrations of FPG in GDM pregnant women in Zhujing Region of Shanghai begin to increase from the first trimester and peak during the second trimester, and decrease during the third trimester after lifestyle intervention. It is advisable for GDM pregnant women to control HbA1c levels below 5.5% during the third trimester.

表1 2组孕妇一般临床资料及空腹血糖浓度和糖化血红蛋白水平比较(±s)
表2 晚孕期HbA1c水平处于不同范围的606例受试者的GDM发生率比较
图1 晚孕期HbA1c水平预测GDM发生的ROC曲线
[1]
Colman PG, Thomas DW, Zimmet PZ, et al. New classification and criteria for diagnosis of diabetes mellitus. Position Statement from the Australian Diabetes Society, New Zealand Society for the Study of Diabetes, Royal College of Pathologists of Australasia and Australasian Association of Clinical Biochemists [J]. Med J Aust, 1999, 170(8): 375-378.
[2]
HAPO Study Cooperative Research Group. Hyperglycemia and adverse pregnancy outcomes [J]. N Engl J Med, 2008, 358(19): 1991-2002.
[3]
International Association of Diabetes and Pregnancy Study Groups Consensus Panel, Metzger BE, Gabbe SG, et al. International association of diabetes and pregnancy study groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy [J]. Diabetes Care, 2010, 33(3): 676-682.
[4]
Chen P, Piaggi P, Traurig M, et al. Differential methylation of genes in individuals exposed to maternal diabetes in utero [J]. Diabetologia, 2017, 60(4): 645-655.
[5]
Holmes VA, Young IS, Patterson CC, et al. Optimal glycemic control, pre-eclampsia, and gestational hypertension in women with type 1 diabetes in the diabetes and pre-eclampsia intervention trial [J]. Diabetes Care, 2011, 34(8): 1683-1688.
[6]
Dabelea D, Hanson RL, Lindsay RS, et al. Intrauterine exposure to diabetes conveys risks for type 2 diabetes and obesity: a study of discordant sibships [J]. Diabetes, 2000, 49(12): 2208-2211.
[7]
田海荣,季业,甘桂萍,等. 上海朱泾地区孕早期空腹血糖与妊娠期糖尿病关系回顾性分析[J]. 中国糖尿病杂志,2017,25(4):408-412.
[8]
李广琦,杜建新,周玲,等. 妊娠早期糖脂代谢对妊娠糖尿病发病及不良妊娠结局的影响[J]. 中华糖尿病杂志,2012, 4(6): 345-350.
[9]
Desoye G, Nolan CJ. The fetal glucose steal: an underappreciated phenomenon in diabetic pregnancy [J]. Diabetologia, 2016, 59(6): 1089-1094.
[10]
International Expert Committee. International Expert Committee report on the role of the A1C assay in the diagnosis of diabetes [J]. Diabetes Care, 2009, 32(7): 1327-1334.
[11]
Zhang X, Gregg EW, Williamson DF, et al. A1C level and future risk of diabetes: a systematic review [J]. Diabetes Care, 2010, 33(7): 1665-1673.
[12]
Monnier L, Colette C. Postprandial and basal hyperglycaemia in type 2 diabetes: contributions to overall glucose exposure and diabetic complications [J]. Diabetes Metab, 2015, 41(6 Suppl 1): 6S9-6S15.
[13]
雷国勤,徐欢,黄畅晓,等. 重庆地区孕妇HbA1c及早中孕空腹血糖正常参考区间的建立以及联合诊断妊娠期糖尿病的临床价值[J]. 中华检验医学杂志,2016,39(6):413-417.
[14]
王晶,孙静清,孙伟杰,等. 糖化血红蛋白在妊娠期糖尿病诊治中的应用[J]. 中华围产医学杂志,2013,16(3):137-141.
[15]
Soumya S, Rohilla M, Chopra S, et al. HbA1c: a useful screening test for gestational diabetes mellitus [J]. Diabetes Technol Ther, 2015, 17(12): 899-904.
[16]
Nielsen LR, Ekbom P, Damm P, et al. HbA1c levels are significantly lower in early and late pregnancy [J]. Diabetes Care, 2004, 27(5): 1200-1201.
[17]
中华医学会妇产科学分会产科学组,中华医学会围产医学分会妊娠合并糖尿病协作组. 妊娠合并糖尿病诊治指南(2014)[J]. 中华妇产科杂志,2014,49(8):561-569.
[18]
Hedderson MM, Gunderson EP, Ferrara A. Gestational weight gain and risk of gestational diabetes mellitus [J]. Obstet Gynecol, 2010, 115(3): 597-604.
[19]
毛雷婧,葛星,徐叶清,等. 孕前体重指数和孕中期体重增加对妊娠期糖尿病发病影响的队列研究[J]. 中华流行病学杂志,2015,36(5): 416-420.
[20]
王爽,杨慧霞. 妊娠期糖尿病发病的危险因素分析[J]. 中华妇产科杂志,2014,49(5):321-324.
[1] 陈永庄, 莫小乔, 谢天. 心血管事件患者术后30 d死亡风险决策树模型的构建与评估——基于少数类样本合成过采样技术算法[J]. 中华危重症医学杂志(电子版), 2023, 16(05): 390-398.
[2] 李圣鹏, 方爱蓝, 刘诗宁, 王丹, 刘湘奇. 下颌阻生第三磨牙拔除难度的预测因素与评估方法[J]. 中华口腔医学研究杂志(电子版), 2023, 17(06): 441-445.
[3] 张俊, 罗再, 段茗玉, 裘正军, 黄陈. 胃癌预后预测模型的研究进展[J]. 中华普通外科学文献(电子版), 2023, 17(06): 456-461.
[4] 王龙彪, 刘洪, 董天雄. 中心体扩增细胞占比和C反应蛋白-白蛋白比值对胃癌根治术治疗预后的预测价值[J]. 中华普通外科学文献(电子版), 2023, 17(05): 352-356.
[5] 李坤河, 寇萌佳, 邝立挺. 肝移植术后二次气管插管的危险因素及预测模型的建立[J]. 中华普通外科学文献(电子版), 2023, 17(05): 366-371.
[6] 唐旭, 韩冰, 刘威, 陈茹星. 结直肠癌根治术后隐匿性肝转移危险因素分析及预测模型构建[J]. 中华普外科手术学杂志(电子版), 2024, 18(01): 16-20.
[7] 贾成朋, 王代宏, 陈华, 孙备. 可切除性胰腺癌预后术前预测模型的建立及应用[J]. 中华普外科手术学杂志(电子版), 2023, 17(05): 566-570.
[8] 邢晓伟, 刘雨辰, 赵冰, 王明刚. 基于术前腹部CT的卷积神经网络对腹壁切口疝术后复发预测价值[J]. 中华疝和腹壁外科杂志(电子版), 2023, 17(06): 677-681.
[9] 顾睿祈, 方洪生, 蔡国响. 循环肿瘤DNA检测在结直肠癌诊治中的应用与进展[J]. 中华结直肠疾病电子杂志, 2023, 12(06): 453-459.
[10] 秦维, 王丹, 孙玉, 霍玉玲, 祝素平, 郑艳丽, 薛瑞. 血清层粘连蛋白、Ⅳ型胶原蛋白对代偿期肝硬化食管胃静脉曲张出血的预测价值[J]. 中华消化病与影像杂志(电子版), 2023, 13(06): 447-451.
[11] 张郁妍, 胡滨, 张伟红, 徐楣, 朱慧, 羊馨玥, 刘海玲. 妊娠中期心血管超声参数与肝功能的相关性及对不良妊娠结局的预测价值[J]. 中华消化病与影像杂志(电子版), 2023, 13(06): 499-504.
[12] 王小娜, 谭微, 李悦, 姜文艳. 预测性护理对结直肠癌根治术患者围手术期生活质量、情绪及并发症的影响[J]. 中华消化病与影像杂志(电子版), 2023, 13(06): 525-529.
[13] 王亚丹, 吴静, 黄博洋, 王苗苗, 郭春梅, 宿慧, 王沧海, 王静, 丁鹏鹏, 刘红. 白光内镜下结直肠肿瘤性质预测模型的构建与验证[J]. 中华临床医师杂志(电子版), 2023, 17(06): 655-661.
[14] 程培丽, 李霞, 王亚丽. 孤立性脑桥梗死合并吞咽障碍的临床影响因素分析[J]. 中华脑血管病杂志(电子版), 2023, 17(05): 440-444.
[15] 王俊杰, 尹晓亮, 刘二腾, 陆军, 祁鹏, 胡深, 杨希孟, 陈鲲鹏, 张东, 王大明. 机器学习对预测颈内动脉非急性闭塞患者血管内再通术成功的潜在价值[J]. 中华脑血管病杂志(电子版), 2023, 17(05): 464-470.
阅读次数
全文


摘要