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目的对妊娠期糖尿病(gestational diabetes mellitus,GDM)合并多囊卵巢综合征(polycystic ovary syndrome,PCOS)患者在妊娠过程中的临床不良结局进行分析,有助于对此类患者进行相关筛查、诊断及干预,减少不良并发症的发生。方法选取2014年1月至2016年1月在延安大学附属医院进行产前检查确诊为GDM的199例孕妇,其中102例PCOS患者纳入PCOS组,97例非PCOS患者为对照组。观察比较两组患者的妊娠结局(妊娠期高血压、子痫前期、早产、羊水过多及羊水过少、剖宫产率)和新生儿结局(新生儿体重、巨大胎儿、新生儿Apgar评分、新生儿黄疸、呼吸窘迫综合征及低血糖),并将两组患者中有统计学差异的指标进行Logistic回归分析。结果两组患者早产、羊水过多、羊水过少、剖宫产、新生儿体重、巨大胎儿、新生儿Apgar评分、新生儿黄疸及呼吸窘迫综合征的发生率比较,差异均无统计学意义(P>0.05)。将有统计学差异的指标纳入Logistic回归分析发现:PCOS组中妊娠期高血压、子痫前期和新生儿低血糖的发生风险显著增高(P<0.05)。结论PCOS增加GDM孕妇的妊娠期高血压、子痫前期和新生儿低血糖患病风险。
Objective To analyze the clinical adverse outcomes of gestational diabetes mellitus (GDM) and polycystic ovary syndrome (PCOS) patients during pregnancy, which is helpful for the screening and diagnosis of these patients And intervention to reduce the incidence of adverse complications. Methods A total of 199 pregnant women diagnosed with GDM at the Yan’an University Affiliated Hospital from January 2014 to January 2016 were selected. Among them, 102 PCOS patients were included in the PCOS group and 97 non-PCOS patients were the control group. The pregnancy outcomes (gestational hypertension, preeclampsia, premature labor, polyhydramnios and oligohydramnios, cesarean section rate) and neonatal outcomes (neonatal weight, macrosomia, neonatal Apgar score, Neonatal jaundice, respiratory distress syndrome and hypoglycemia). Logistic regression analysis was used to analyze the statistically significant differences between the two groups. Results There was no significant difference in the incidence of preterm birth, polyhydramnios, oligohydramnios, cesarean section, newborn weight, huge fetus, neonatal Apgar score, neonatal jaundice and respiratory distress syndrome in both groups P> 0.05). Logistic regression analysis showed statistically significant differences in the incidence of gestational hypertension, preeclampsia and neonatal hypoglycemia in PCOS group (P <0.05). Conclusion PCOS increases the risk of gestational hypertension, preeclampsia and neonatal hypoglycemia in GDM pregnant women.