凝血指标对多囊卵巢综合征患者血栓前状态风险的预测价值

Predictive value of coagulation indexes for prethromboticstate risk in patients with polycystic ovary syndrome

目的:研究凝血指标与多囊卵巢综合征(PCOS)的关系,建立PCOS患者血栓前状态风险的预测模型。方法:选取2017年1月至2019年9月于我院妇科门诊就诊的231例PCOS患者为观察组,另选取294例健康女性为对照组。比较两组6项凝血指标差别,选择重要的预测指标建立逻辑回归模型,并对模型的预测性及准确度进行验证。结果:多因素回归分析显示年龄、凝血酶原时间(PT)、活化部分凝血酶原时间(APTT)、凝血酶时间(TT)、D-二聚体(DD)和纤维蛋白降解产物(FDP)与PCOS的发生有关(P<0.05或P<0.01)。预测模型的敏感性和特异性分别为0.85和0.85。结论:逻辑回归模型对预测PCOS患者血栓前状态有一定价值。

Objective:To study the relationships between coagulation indexes and polycystic ovary syndrome(PCOS),and to establish a predictive model of prethrombotic state risk in PCOS patients.Methods:231 PCOS patients visiting Outpatient Department of Gynecology in our hospital from January 2017 to September 2019 were selected as observation group,and 294 healthy women were selected as control group.The differences of six coagulation indexes between the two groups were compared.Then the important predictive indexes were selected for the establishment of the logistic regression model,and the predictability and accuracy of the model were verified.Results:Multivariate regression analysis showed that age,PT,APTT,TT,DD and FDP were associated with PCOS(P<0.05 or P<0.01).The sensitivity and specificity of the predictive model were 0.85 and 0.85,respectively.Conclusion:Logistic regression model has a certain value in predicting prethrombotic state of PCOS patients.