Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA.
Gynecol Oncol. 2013 Mar;128(3):544-51. doi: 10.1016/j.ygyno.2012.12.014. Epub 2012 Dec 19.
To profile characteristics and survival of endometrial cancer patients who develop venous thromboembolism (VTE) and to establish a predictive model of VTE in endometrial cancer.
Cases were identified using an institutional database between 2000 and 2011. VTE was correlated to clinico-pathological information and survival outcomes. Frequency and odds ratio (OR) of VTE were examined in a predictive model based on combination patterns of independent risk factors for VTE.
VTE was seen in 42 (8.1%, 95% CI 5.8-10.5) out of 516 cases subsequent to the diagnosis of endometrial cancer. Multivariate analysis identified 4 independent risk factors for VTE: elevated CA-125 (hazard ratio [HR] 5.38, p<0.001), extrauterine disease (HR 2.87, p=0.019), thrombocytosis (HR 2.11, p=0.04), and high risk histology (serous and clear cell, HR 2.09, p=0.049). VTE was the strongest variable for decreased progression-free survival (HR 4.28) and the second strongest variable for decreased overall survival (HR 5.65) in multivariate analysis. In a predictive model of VTE, the presence of multiple risk factors was associated with significantly increased risk of VTE: frequency of VTE, 1.4% if no risk factors, 0-9.3% (OR 1.0-4.2) if a single risk factor, 11.1-25.0% (OR 9.0-24.0) if two risk factors, and 42.9-46.2% (OR 54.0-61.7) if ≥3 risk factors.
VTE represents a surrogate for aggressive disease in endometrial cancer. Multiple risk factors of VTE in our predictive model demonstrated exceedingly high risk of VTE, suggesting that there may be a certain population of endometrial cancer patients who would benefit from long-term anti-coagulant prophylaxis to improve survival outcome.
分析发生静脉血栓栓塞症(VTE)的子宫内膜癌患者的特征和生存情况,并建立子宫内膜癌患者 VTE 的预测模型。
利用机构数据库,在 2000 年至 2011 年期间对病例进行了识别。将 VTE 与临床病理信息和生存结果相关联。根据 VTE 的独立危险因素的组合模式,在预测模型中检查 VTE 的频率和比值比(OR)。
在诊断出子宫内膜癌后的 516 例病例中,有 42 例(8.1%,95%置信区间 5.8-10.5)发生了 VTE。多变量分析确定了 4 个 VTE 的独立危险因素:CA-125 升高(风险比[HR]5.38,p<0.001)、子宫外疾病(HR 2.87,p=0.019)、血小板增多症(HR 2.11,p=0.04)和高危组织学(浆液性和透明细胞癌,HR 2.09,p=0.049)。在多变量分析中,VTE 是无进展生存(HR 4.28)和总生存(HR 5.65)降低的最强变量。在 VTE 的预测模型中,多个危险因素的存在与 VTE 的风险显著增加相关:如果没有危险因素,VTE 的频率为 1.4%;如果存在单个危险因素,VTE 的频率为 0-9.3%(OR 1.0-4.2);如果存在两个危险因素,VTE 的频率为 11.1-25.0%(OR 9.0-24.0);如果存在≥3 个危险因素,VTE 的频率为 42.9-46.2%(OR 54.0-61.7)。
VTE 是子宫内膜癌侵袭性疾病的替代标志物。我们的预测模型中 VTE 的多个危险因素显示出极高的 VTE 风险,这表明可能有一定人群的子宫内膜癌患者受益于长期抗凝预防以改善生存结果。