Coagulation parameters predictive of polycystic ovary syndrome
Coagulation parameters predictive of polycystic ovary syndrome
复制标题
预测多囊卵巢综合征的凝血参数
DOI：
10.1016/j.ejogrb.2019.06.018
复制
发表时间：
2019-09-01
影响因子：
2.6
通讯作者：
Kang, Xiaomin
中科院分区：
文献类型：
--
作者：
Sun, Qian;Yang, Yan;Kang, Xiaomin
目的：目的探讨多囊卵巢综合征（PCOS）患者凝血指标的变化规律，建立预测PCOS发病风险的模型。选择在我院妇科就诊的301例孕妇作为对照组，测定6项凝血指标。基于训练数据集，使用有目的选择方法来选择重要的预测因子，建立逻辑回归模型。结果：除D-二聚体（DD，P = 0.080）外，其他凝血参数间差异均有统计学意义。有目的的选择方法选择年龄（比值比[OR] = 0.89; p = 0.008）、凝血酶原时间（PT，OR = 0.68，p < 0.0001）、凝血酶时间（Tr，OR =3.30; p = 0.0005）和纤维蛋白降解产物（FDP，OR =0.24; p = 0.0002）作为PCOS风险的重要预测因素。受试者工作特征（ROC）曲线分析表明，训练数据集的模型ROC曲线下面积（AUC）为0.81，预测概率的最佳截止点为0.45，灵敏度为0.71，特异性为0.82。结论：PT、TT、FDP等凝血参数对PCOS有一定的预测价值。这些结果强调了抗凝治疗降低PCOS女性不良结局风险的潜力。(C)2019爱思唯尔B. V.保留所有权利。
Objective: To explore coagulation parameters in association with polycystic ovarian syndrome (PCOS) and establish a model for predicting the risk of PCOS.Study Design: This study included 181 outpatients with PCOS. A total of 301 women who attempted to seek pre-pregnancy consultation at the Department of Gynecology of our hospital were included in the control group, and six coagulation parameters were measured for all included subjects. A logistic regression model was built based on the training dataset using the purposeful selection method to select important predictors. The performance of the established model was validated on the test dataset.Results: There were statistically significant differences found among all coagulation parameters except D-Dimer (DD, P = 0.080). The purposeful selection method selected age (odds ratio [OR] = 0.89; p = 0.008), prothrombin time (PT, OR = 0.68, p < 0.0001), thrombin time (Tr, OR =3.30; p = 0.0005), and fibrin degradation products (FDP, OR =0.24; p = 0.0002) as important predictors of PCOS risk. The receiver operating characteristic (ROC) curve analysis indicated that the area under the ROC curve (AUC) of the model was 0.81 for the training dataset with an optimal cut-off point of the predicted probability of 0.45, leading to a sensitivity of 0.71 and a specificity of 0.82. The AUC was 0.79 for the test data.Conclusions: It was found that the coagulation parameters, including PT, TT, and FDP, are predictive of PCOS. These results highlight the potential of anti-coagulation therapies to lower the risk of adverse outcomes in women with PCOS. (C) 2019 Elsevier B.V. All rights reserved.