Zhang Yu, Jia Wenyan, Zeng Fanyu, Sun Jingli
Department of Obstetrics and Gynecology, General Hospital of Northern Theater Command of the Chinese People's Liberation Army, Shenyang, China.
Medical Research Center, Yue Bei People's Hospital, Shaoguan, China.
Transl Pediatr. 2023 Apr 29;12(4):719-730. doi: 10.21037/tp-23-197. Epub 2023 Apr 24.
Birth defects, as a kind of diseases that seriously affect human life, have always attracted much attention. In the past, perinatal data have been studied for birth defects. This study analyzed the surveillance data of birth defects during the perinatal period and the whole of pregnancy, as well as the independent influencing factors, to help to minimize their risk of birth defects.
A total of 23,649 fetuses delivered in the hospital from January 2017 to December 2020, were enrolled in this study. There were 485 cases of birth defects, including live births and stillbirths by detailed inclusion and exclusion criteria. Maternal and neonatal clinical data were collated to analyze the influencing factors associated with birth defects. Pregnancy complications and comorbidities were diagnosed according to the criteria of the Chinese Medical Association. Univariate and multivariate logistic regression models were used to investigate the association between independent variables and birth defect events.
The incidence of birth defects during the whole of pregnancy was 175.46/10,000, while the incidence of perinatal birth defects was 96.22/10,000. The birth defect group had significantly higher maternal age, gravidity, parity, rate of preterm birth, cesarean section (CS) rate, scarred uterus, stillborn, and male newborns compared to the control group. Multivariate logistic regression model analysis showed that preterm birth [odds ratio (OR): 1.69, 95% confidence interval (CI): 1.01 to 2.86], CS (OR: 1.46, 95% CI: 1.08 to 1.98), scarred uterus (OR: 1.70, 95% CI: 1.01 to 2.85), and low birth weight (OR >4 compared to the other two classes) were significantly associated with birth defects during the whole of pregnancy (all P<0.05). The independent influencing factors associated with perinatal birth defects included CS (OR: 1.43, 95% CI: 1.05 to 1.93), gestational hypertension (OR: 1.70, 95%: 1.04 to 2.78), and low birth weight (OR >3.70 compared to the other two classes).
The discovery and monitoring of known influencing factors associated with birth defects, such as, preterm birth, gestational hypertension, low birth weight, should be enhanced. For the controllable influencing factors, obstetrics providers should work with patients to minimize their risk of birth defects.
出生缺陷作为一类严重影响人类生活的疾病,一直备受关注。过去,围产期数据已用于出生缺陷研究。本研究分析了围产期及整个孕期的出生缺陷监测数据及其独立影响因素,以帮助降低出生缺陷风险。
本研究纳入了2017年1月至2020年12月在该医院分娩的23649例胎儿。根据详细的纳入和排除标准,有485例出生缺陷病例,包括活产和死产。整理产妇和新生儿的临床数据,分析与出生缺陷相关的影响因素。妊娠并发症和合并症根据中华医学会的标准进行诊断。采用单因素和多因素logistic回归模型研究自变量与出生缺陷事件之间的关联。
整个孕期出生缺陷的发生率为175.46/10000,而围产期出生缺陷的发生率为96.22/10000。与对照组相比,出生缺陷组的产妇年龄、孕次、产次、早产率、剖宫产率、瘢痕子宫、死产和男婴比例显著更高。多因素logistic回归模型分析显示,早产[比值比(OR):1.69,95%置信区间(CI):1.01至2.86]、剖宫产(OR:1.46,9�%CI:1.08至1.98)、瘢痕子宫(OR:1.70,95%CI:1.01至2.85)和低出生体重(与其他两类相比OR>4)与整个孕期的出生缺陷显著相关(均P<0.05)。与围产期出生缺陷相关的独立影响因素包括剖宫产(OR:1.43,95%CI:1.05至1.93)、妊娠期高血压(OR:1.7(此处原文有误,推测应为1.70),95%:1.04至2.78)和低出生体重(与其他两类相比OR>3.70)。
应加强对与出生缺陷相关的已知影响因素的发现和监测,如早产、妊娠期高血压、低出生体重。对于可控的影响因素,产科医护人员应与患者合作,以降低出生缺陷风险。