Association Between Maternal Hyperglycemia and Composite Maternal-Birth Outcomes

Song-Ying Shen, Li-Fang Zhang, Jian-Rong He, Jin-Hua Lu, Nian-Nian Chen, Wan-Qing Xiao, Ming-Yang Yuan, Hui-Min Xia, Kin Bong Hubert Lam, Xiu Qiu, Song-Ying Shen, Li-Fang Zhang, Jian-Rong He, Jin-Hua Lu, Nian-Nian Chen, Wan-Qing Xiao, Ming-Yang Yuan, Hui-Min Xia, Kin Bong Hubert Lam, Xiu Qiu

Abstract

Objective: The overall impact of maternal hyperglycemia on maternal and birth outcomes is largely underestimated, therefore quantifying the true burden of hyperglycemia in a whole population it is a challenging task. This study aims at examining the association between blood glucose concentration during pregnancy and a composite score of adverse maternal-birth outcomes in a large-scale prospective cohort study in China. Methods: Pregnant women within "the Born in Guangzhou Cohort Study" China who underwent a standard 75-g oral-glucose-tolerance-test (OGTT) between 22 and 28 gestational weeks were included. A composite score of stillbirth, duration of pregnancy, birth weight, preeclampsia, and cesarean section was developed based on a published maternal-fetal outcomes scale, weighed by the relative severity of the outcomes. Multiple linear regression models were used to assess the associations between OGTT glucose measurements and log composite score. Logistic regression models were used to assess relations with outcome as a categorical variable (0, 1- < 3, and ≥3). Findings: Among 12,129 pregnancies, the composite score ranged from 0 to 100 with a median of 2.5 for non-zero values. Elevated fasting glucose level was associated with higher composite score (adjusted coefficients 0.03 [95% CI, 0.02-0.04] for 1-SD increase). For 1-SD increase in fasting glucose, the risk of having a composite score 1- < 3 and ≥3 rises by 13% (95% CI, 8-17%) and 15% (95% CI, 7-23%), respectively. Similar association and increase in risk was found for 1 and 2-h glucose. Conclusion: Elevated fasting, 1 and 2-h glucose levels are associated with a range of adverse maternal-birth outcomes. The composite score model can be applied to the risk assessment for individual pregnant women and to evaluate the benefits for controlling glucose levels in the population.

Keywords: birth weight; cesarean section; composite outcome; duration of pregnancy; hyperglycemia; preeclampsia; pregnancy; stillbirth.

Figures

Figure 1
Figure 1
The flowchart of the study.

References

    1. Kalter-Leibovici O, Freedman LS, Olmer L, Liebermann N, Heymann A, Tal O, et al. . Screening and diagnosis of gestational diabetes mellitus: critical appraisal of the new international association of diabetes in pregnancy study group recommendations on a national level. Diabetes Care (2012) 35:1894–6. 10.2337/dc12-0041
    1. Hirst JE, Tran TS, Do MA, Morris JM, Jeffery HE. Consequences of gestational diabetes in an urban hospital in Viet Nam: a prospective cohort study. PLoS Med. (2012) 9:e1001272. 10.1371/journal.pmed.1001272
    1. Black MH, Sacks DA, Xiang AH, Lawrence JM. Clinical outcomes of pregnancies complicated by mild gestational diabetes mellitus differ by combinations of abnormal oral glucose tolerance test values. Diabetes Care (2010) 33:2524–30. 10.2337/dc10-1445
    1. Metzger BE, Lowe LP, Dyer AR, Trimble ER, Chaovarindr U, Coustan DR, et al. . Hyperglycemia and adverse pregnancy outcomes. N Engl J Med. (2008) 358:1991–2002. 10.1056/NEJMoa0707943
    1. Liu Y, Li G, Chen Y, Wang X, Ruan Y, Zou L, et al. . A descriptive analysis of the indications for caesarean section in mainland China. BMC Pregnan Childbirth (2014) 14:410. 10.1186/s12884-014-0410-2
    1. Sibai BM. Preeclampsia as a cause of preterm and late preterm (near-term) births. Semin Perinatol. (2006) 30:16–9. 10.1053/j.semperi.2006.01.008
    1. Haedersdal S, Salvig JD, Aabye M, Thorball CW, Ruhwald M, Ladelund S, et al. . Inflammatory markers in the second trimester prior to clinical onset of preeclampsia, intrauterine growth restriction, and spontaneous preterm birth. Inflammation (2013) 36:907–13. 10.1007/s10753-013-9619-x
    1. Roberts CL, Cameron CA, Bell JC, Algert CS, Morris JM. Measuring maternal morbidity in routinely collected health data: development and validation of a maternal morbidity outcome indicator. Med Care (2008) 46:786–94. 10.1097/MLR.0b013e318178eae4
    1. Verma A, Okun NB, Maguire TO, Mitchell BF. Morbidity assessment index for newborns: a composite tool for measuring newborn health. Am J Obstet Gynecol. (1999) 181:701–8.
    1. Novicoff WM, Wagner DP, Knaus WA, Kane EK, Cecere F, Draper E, et al. . Initial development of a system-wide maternal-fetal outcomes assessment program. Am J Obstet Gynecol. (2000) 183:291–300. 10.1067/mob.2000.108087
    1. Oken E, Kleinman KP, Belfort MB, Hammitt JK, Gillman MW. Associations of gestational weight gain with short- and longer-term maternal and child health outcomes. Am J Epidemiol. (2009) 170:173–80. 10.1093/aje/kwp101
    1. Verma A, Weir A, Drummond J, Mitchell BF. Performance profile of an outcome measure: morbidity assessment index for newborns. J Epidemiol Community Health (2005) 59:420–6. 10.1136/jech.2003.019109
    1. Qiu X, Lu JH, He JR, Lam KH, Shen SY, Guo Y, et al. . The Born in Guangzhou Cohort Study (BIGCS). Eur J Epidemiol. (2017) 32:337–46. 10.1007/s10654-017-0239-x
    1. Shen S, Lu J, Zhang L, He J, Li W, Chen N, et al. . Single fasting plasma glucose versus 75-g oral glucose-tolerance test in prediction of adverse perinatal outcomes: a cohort study. EBioMedicine (2017) 16:284–91. 10.1016/j.ebiom.2017.01.025
    1. Metzger BE, Gabbe SG, Persson B, Buchanan TA, Catalano PA, Damm P, et al. . International association of diabetes and pregnancy study groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care (2010) 33:676–82. 10.2337/dc09-1848
    1. Obstetrics Subgroup, Chinese Society of Obstetrics and Gynecology, Chinese Medical Association, Group of Pregnancy with Diabetes Mellitus, Chinese Society of Perinatal Medicine, Chinese Medical Association. [Diagnosis and therapy guideline of pregnancy with diabetes mellitus]. Zhonghua Fu Chan Ke Za Zhi (2014) 49:561–9.
    1. He JR, Xia HM, Liu Y, Xia XY, Mo WJ, Wang P, et al. . A new birthweight reference in Guangzhou, southern China, and its comparison with the global reference. Arch Dis Child. (2014) 99:1091–7. 10.1136/archdischild-2013-305923
    1. Goldenberg RL, Culhane JF, Iams JD, Romero R. Epidemiology and causes of preterm birth. Lancet (2008) 371:75–84. 10.1016/S0140-6736(08)60074-4
    1. Ye C, Ruan Y, Zou L, Li G, Li C, Chen Y, et al. . The 2011 survey on hypertensive disorders of pregnancy (HDP) in China: prevalence, risk factors, complications, pregnancy and perinatal outcomes. PLoS ONE (2014) 9:e100180. 10.1371/journal.pone.0100180
    1. Chen C, Lu FC. The guidelines for prevention and control of overweight and obesity in Chinese adults. Biomed Environ Sci. (2004) 17:1–36.
    1. Langer O, Yogev Y, Most O, Xenakis EM. Gestational diabetes: the consequences of not treating. Am J Obstet Gynecol. (2005) 192:989–97. 10.1016/j.ajog.2004.11.039
    1. Landon MB, Spong CY, Thom E, Carpenter MW, Ramin SM, Casey B, et al. . A multicenter, randomized trial of treatment for mild gestational diabetes. N Engl J Med. (2009) 361:1339–48. 10.1056/NEJMoa0902430
    1. Crowther CA, Hiller JE, Moss JR, McPhee AJ, Jeffries WS, Robinson JS. Effect of treatment of gestational diabetes mellitus on pregnancy outcomes. N Engl J Med. (2005) 352:2477–86. 10.1056/NEJMoa042973

Source: PubMed

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