结合凝血指标与临床信息的产后出血预测模型
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Prediction model of postpartum hemorrhage based on coagulation function test and clinical information
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    摘要:目的探讨产前 24h内凝血指标、妊娠并发症、产妇合并症对产后出血的早期预测价值。方法回顾性分析北京大学第三医院2013- -2018 年入院分娩的产妇17 024例,根据是否发生产后出血分为产后出血组(n=2211)和非产后出血组(n=14 813)。比较两组产妇的人口学特征、临床诊断资料及产前24h内凝血指标,用单因素及多因素Logistic 回归模型分析产后出血的危险因素,用ROC曲线评估其对产后出血的早期预测价值。结果单因素 Logistic回归分析显示,两组间年龄、孕周、多胎、纤维蛋白原(Fib)、活化部分凝血活酶时间( APTT)、凝血酶时间(TT)、国际标准化比值(INR)、子痫前期、胎盘早剥、前置胎盘、胎盘植入差异均有统计学意义(P均<0.05)。多因素Logistic 回归模型分析显示,年龄、孕周INR的增加,以及多胎、子痫前期、 胎盘早剥、前置胎盘、胎盘植入是产后出血发生的独立危险因素(P均<0.05)。 多指标联合预测产后出血的ROC曲线下面积( AUCROC)为0.685(95%CI :0.672-0.698) ,准确度为87.7%。结论综合分析产妇年龄 、孕周、多胎、分娩前24 h内凝血指标( Fib、APTT.INR)、胎盘介导妊娠并发症种类有助于发现产后出血高风险人群。

    Abstract:

    Abstract: Objective To explore the predictive values of blood coagulation index within 24 hours before delivery , pregnancy complications and maternal complications in postpatum hemorhage. Methods A total of 17 024 delivery of hospitalization in the Third Hospital of Peking Medical University from 2013 to 2018 were retrospectively analyzed by dividing into postpartum hemorrhage group (n=2 211) and the non-postpartum hemorhage group (n= 14 813) according to occurrence of postpartum hemorhage. The characteristics, clinical data and blood coagulation indexes within 24 hours before delivery of the two groups were compared. The risk factors of postpartum hemorrhage were analyzed by univariate and multiv ariate Logistic regression analysis. The receiver operating characteristic ( ROC) curve was used to assess the early predictive value for postpartum hemohage. Results Univariate Logistic regression analysis showed that the diferences for a variety of factors showed statistical differences between both groups , including age, gestational age at admission, multiple gestations, coagulation indicator, ie, fbrinogen ( Fib),activated partial thromboplastin time ( APTT),thrombin time (TT),international normalized ratio ( INR),preeclampsia, placental abruption, placental previa and placenta accreta(all P<0.05 ). Multivariate Logistic regression analysis showed that the increase of age, gestational age at admission and INR, multiple gestations,preecl ampsia, placental abruption, placental previa and placenta accrete were independent risk factors of post partum hemorrhage. ROC curve analysis showed that the AUCROC for the eardy prediction of postpartum hemorrhage by combined multiple index was 0.685 ( 95%CI: 0.672 to 0.698) and the accuracy was 87.7%. Conclusion Comprehensive analysis for the factors including maternal age, gestational age at admission, multiple gestations, blood coagulation index within 24 hours before delivery (Fib, APTT and INR), placenta-mediated pregnancy complications could be helpful for early prediction of postpartum hemorrhage.

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郭弯弯,何力力,龚晨,苏扬,刘成,乔蕊.结合凝血指标与临床信息的产后出血预测模型[J].临床检验杂志,2023,41(01):13-16

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  • 收稿日期:2022-11-04
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  • 在线发布日期: 2023-05-22
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