2026 年第 9 期 第 21 卷

血浆和胎盘hsa_circ_0088196水平与重度子痫前期患者不良妊娠结局风险的关系研究

Correlation of plasma and placental hsa_circ_0088196 levels with the risk of adverse pregnancy outcomes in patients with severe preeclampsia

作者：陈国栋万飞龙杜平

英文作者：Chen Guodong Wan Feilong Du Ping

单位：首都医科大学附属北京安贞医院南充医院南充市中心医院产科，南充637000

英文单位：Department of Obstetrics Nanchong Hospital Beijing Anzhen Hospital Capital Medical University Nanchong Central Hospital Nanchong 637000 China

关键词：重度子痫前期；环状RNA；不良妊娠结局

英文关键词：Severepreeclampsia;CircularRNA;Adversepregnancyoutcomes

• 摘要：

• 目的 分析血浆和胎盘hsa_circ_0088196水平与重度子痫前期（SPE）患者不良妊娠结局风险的关系。方法 前瞻性选取2022年3月至2024年11月于南充市中心医院妇产科住院分娩的213例SPE患者作为疾病组。另选取同期190例产检健康的孕妇作为对照组。比较疾病组与对照组血浆和胎盘hsa_circ_0088196水平。根据SPE患者是否发生不良妊娠结局，将其分为结局不良组与结局良好组，比较这2组间临床资料及血浆和胎盘hsa_circ_0088196水平。采用Spearman相关分析血浆和胎盘hsa_circ_0088196水平与不良妊娠结局的相关性，并通过绘制受试者工作特征（ROC）曲线评估二者单独及联合预测不良妊娠结局的效能；采用多因素Logistic回归方法分析SPE患者发生不良妊娠结局的影响因素。结果 疾病组孕妇血浆和胎盘 hsa_circ_0088196水平均明显高于对照组（均P＜0.05）。结局不良组患者收缩压、24 h尿蛋白定量、血浆及胎盘hsa_circ_0088196水平均明显高于结局良好组（均P＜0.05）。血浆和胎盘hsa_circ_0088196水平均与SPE患者不良妊娠结局风险呈正相关（r=0.453、0.506，均P＜0.001）。ROC曲线分析结果显示，血浆和胎盘hsa_circ_0088196二者联合预测SPE患者不良妊娠结局的曲线下面积为0.813，均高于单项指标预测的0.721、0.743（Z=2.353，P=0.019；Z=2.123，P=0.034）。多因素Logistic回归分析结果显示，收缩压、24 h尿蛋白定量、血浆hsa_circ_0088196、胎盘hsa_circ_0088196均为SPE患者发生不良妊娠结局的危险因素（比值比分别为2.363、2.083、2.809、2.494，均P＜0.05）。结论 SPE患者血浆和胎盘hsa_circ_0088196水平均上调，二者是影响患者不良妊娠结局的因素，且在不良妊娠结局预测中具有潜在价值。

• Objective To analyze the correlation of plasma and placental hsa_circ_0088196 levels with the risk of adverse pregnancy outcomes in patients with severe preeclampsia (SPE). Methods A total of 213 patients with SPE who delivered in the Department of Obstetrics and Gynecology, Nanchong Central Hospital from March 2022 to November 2024 were prospectively enrolled as the disease group. Meanwhile, 190 healthy pregnant women undergoing routine prenatal examination were selected as the control group. Plasma and placental hsa_circ_0088196 levels were compared between the two groups. According to the occurrence of adverse pregnancy outcomes, SPE patients were divided into poor outcome group and good outcome group. Clinical data as well as plasma and placental hsa_circ_0088196 levels were compared between the two subgroups. Spearman correlation analysis was used to evaluate the relationship of plasma and placental hsa_circ_0088196 levels with adverse pregnancy outcomes. Receiver operating characteristic (ROC) curve was plotted to assess the efficacy of single and combined detection in predicting adverse pregnancy outcomes. Multivariate Logistic regression analysis was performed to explore the influencing factors of adverse pregnancy outcomes in SPE patients. Results Plasma and placental hsa_circ_0088196 levels in the disease group were significantly higher than those in the control group (all P＜0.05). Systolic blood pressure, 24 h urinary protein quantification, plasma and placental hsa_circ_0088196 levels in the poor outcome group were markedly higher than those in the good outcome group (all P＜0.05). Both plasma and placental hsa_circ_0088196 levels were positively correlated with the risk of adverse pregnancy outcomes in SPE patients (r=0.453, 0.506; both P<0.001). ROC curve analysis showed that the area under the curve of combined plasma and placental hsa_circ_0088196 for predicting adverse pregnancy outcomes was 0.813, which was higher than 0.721 and 0.743 of single indicators respectively (Z=2.353, P=0.019; Z=2.123, P=0.034). Multivariate Logistic regression analysis indicated that systolic blood pressure, 24 h urinary protein quantification, plasma hsa_circ_0088196 and placental hsa_circ_0088196 were independent risk factors for adverse pregnancy outcomes in SPE patients (odds ratios were 2.363, 2.083, 2.809 and 2.494, all P＜0.05). Conclusions Plasma and placental hsa_circ_0088196 are upregulated in SPE patients, which are influencing factors for adverse pregnancy outcomes and have potential predictive value.