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1.成都医学院第二附属医院/核工业四一六医院妇产科,四川 成都 610051
2.四川省医学科学院·四川省人民医院/电子科技大学附属医院妇产科,四川 成都 610000
3.成都医学院第二附属医院/核工业四一六医院超声科,四川 成都 610051
李薇,E-mail:9077472@qq.com
收稿日期:2025-03-17,
纸质出版日期:2025-09-25
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陆欢,田恬,吴雪辉等.脑-胎盘率、脑-子宫率联合胱抑素C对子痫前期不良妊娠结局的预测价值[J].局解手术学杂志,2025,34(09):827-831.
LU Huan,TIAN Tian,WU Xue-hui,et al.Predictive value of cerebroplacental ratio, cerebro-uterine ratio combined with cystatin C for adverse pregnancy outcomes in preeclampsia fetuses[J].JOURNAL OF REGIONAL ANATOMY AND OPERATIVE SURGERY,2025,34(09):827-831.
陆欢,田恬,吴雪辉等.脑-胎盘率、脑-子宫率联合胱抑素C对子痫前期不良妊娠结局的预测价值[J].局解手术学杂志,2025,34(09):827-831. DOI: 10.11659/jjssx.03E025097.
LU Huan,TIAN Tian,WU Xue-hui,et al.Predictive value of cerebroplacental ratio, cerebro-uterine ratio combined with cystatin C for adverse pregnancy outcomes in preeclampsia fetuses[J].JOURNAL OF REGIONAL ANATOMY AND OPERATIVE SURGERY,2025,34(09):827-831. DOI: 10.11659/jjssx.03E025097.
目的
2
探讨脑-胎盘率(CPR)、脑-子宫率(CUR)联合胱抑素C(CysC)对子痫前期(PE)患者不良妊娠结局的预测价值。
方法
2
回顾性分析2019年1月至2024年12月核工业四一六医院妇产科收治的150例PE患者的临床资料,根据妊娠结局将患者分为不良结局组和良好结局组。比较2组患者临床资料、CPR、CUR及CysC水平差异。采用多因素
Logistic
回归分析PE患者不良妊娠结局的独立影响因素;随后通过受试者工作特征(
ROC
)曲线评估各指标对患者不良妊娠结局的预测效能。
结果
2
不良结局组患者发病孕周、胎儿估测体质量、CUR、CPR均短/小于良好结局组,而体质量指数、CysC水平大/高于良好结局组,差异有统计学意义(
P
<
0.05)。多因素
Logistic
回归分析显示,CysC水平升高、CUR及CPR降低是PE患者出现不良妊娠结局的相关影响因素(
P
<
0.05)。
ROC
曲线分析显示,CUR、CPR、CysC对PE患者不良妊娠结局均有较好的预测价值,曲线下面积(
AUC
)分别为0.802(95%
CI
:0.729~0.863)、0.834(95%
CI
:0.764~0.890)、0.791(95%
CI
:0.717~0.853);CUR、CPR、CysC联合预测的
AUC
为0.909(95%
CI
:0.851~0.950),大于三者单独预测(
P
<
0.05)。
结论
2
CUR、CPR、CysC是PE患者不良妊娠结局的影响因素,三者联合检测对于PE患者不良妊娠结局有较好的预测价值。
Objective
2
To investigate the predictive value of cerebroplacental ratio (CPR),cerebro-uterine ratio (CUR) combined with cystatin C (CysC) for adverse pregnancy outcomes in preeclampsia (PE) fetuses.
Methods
2
A retrospective analysis was conducted on the clinical data of 150 PE patients admitted to the department of obstetrics and gynecology of Nuclear Industry 416 Hospital from January 2019 to December 2024,and patients were divided into the adverse-outcome group and the favorable-outcome group according to pregnancy outcomes.The clinical data,CPR,CUR and CysC level were compared between the two groups.Multivariate
Logistic
regression was used to analyze the independent influencing factors of adverse pregnancy outcome in PE patients; then,
receiver operating characteristic
(
ROC
) curve analysis was performed to evaluate the predictive efficiency of each index on adverse pregnancy outcome.
Results
2
The adverse-outcome group had shorter/lower gestational age at diagnosis,estimated fetal body weight,CUR,and CPR,but higher body mass index and CysC level compared to those in the favorable-outcome group,with significant differences (
P
<
0.05).Multivariate
Logistic
regression identified that the elevated CysC level, and decreased CUR and CPR were related influencing factors for adverse pregnancy outcome (
P
<
0.05).
ROC
curve analysis demonstrated that CUR,CPR and CysC had strong predictive value for adverse pregnancy outcome,with the
area under the curve
(
AUC
) of 0.802(95%
CI
: 0.729 to 0.863),0.834 (95%
CI
: 0.764 to 0.890),and 0.791 (95%
CI
: 0.717 to 0.853),respectively; the combined prediction of CUR,CPR and CysC had grater
AUC
of 0.909 (95%
CI
: 0.851 to 0.950) than the individual prediction of the above three indicators(
P
<
0.05).
Conclusion
2
CUR,CPR and CysC are influencing factors of adverse pregnancy outcome in PE patients,and their combined detection demonstrates good predictive value for adverse pregnancy outcome in PE patients.
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