Journal of Developmental Medicine(Electronic Version) 2021, Vol. 9 Issue (6): 437-442 DOI: 10.3969/j.issn.2095-5340.2021.06.007 |
|
|
|
|
|
|
Study on the effect and potential interaction of preeclampsia on premature infants |
Guo Lingling, Yang Zhiqing, Wang Haixing.et al
|
1.Medical Big Data Department, the First Hospital of Shanxi Medical University, Shanxi, Taiyuan 030001,
China; 2. Department of Endocrinology, the First Hospital of Shanxi Medical University, Shanxi, Taiyuan
030001, China
|
|
|
Abstract 【Abstract】 Objective To study the effects and potential interactions of preeclampsia and subtypes on
preterm infants. Methods Based on the medical big data platform, from October 2011 to June 2017,
3 369 pregnant women with singleton live births delivered in the obstetrics department of the First Hospital of Shanxi Medical University were used as the research object, and 272 premature infants were used as the case group, 3 097 term infants served as a control group. The general characteristics of pregnant women, the health status during pregnancy and the condition of newborns were obtained. Unconditional Logistic regression was used to analyze the effects of pre-eclampsia and subtypes on preterm infants, and the interaction between preeclampsia and other factors was evaluated. The statistical analysis used χ2 test and unconditional Logistic regression analysis. Results Univariate analysis showed that maternal age (χ2=4.669, P=0.031), parity(χ2=4.641, P=0.031), preeclampsia (χ2=301.388, P<0.001), gestational diabetes (χ2 =29.526, P<0.001), cesarean section (χ2=70.42, P<0.001), amniotic fluid volume (χ2=7.289, P=0.007), fetal distress (χ2=17.89, P<0.001), and placental abruption (χ2 =122.593, P<0.001) were related to the occurrence of premature, which was statistical
significance. Unconditional Logistic regression analysis showed that the mother had preeclampsia (OR=6.169, 95%CI: 4.549-8.366), mainly severe preeclampsia (OR=6.866, 95%CI: 5.021-9.388), gestational diabetes (OR=1.758, 95%CI: 1.278-2.419), cesarean section (OR=1.882, 95%CI: 1.430-2.477), fetal distress (OR=1.712, 95%CI: 1.051-2.788) and placental abruption (OR=5.369, 95%CI: 2.932-9.832) were the risk factors for pretermbirth. Interaction results show that preeclampsia (OR=0.214, 95%CI: 0.071-0.644), mainly severe preeclampsia(OR=0.272, 95%CI: 0.086-0.863) and placental abruption, had multiplicative interactions, and there was no additive or multiplicative interaction between preeclampsia and other factors. Conclusion Preeclampsia, mainly severe preeclampsia, is a risk factor for premature and multiplicative interactions with placental abruption.
|
Received: 25 August 2020
Published: 29 November 2021
|
|
|
|
|
|