Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California.
Harvard Radiation Oncology Program, Harvard Medical School, Boston, Massachusetts.
Int J Radiat Oncol Biol Phys. 2014 Jul 15;89(4):888-98. doi: 10.1016/j.ijrobp.2014.03.047.
PURPOSE/OBJECTIVES(S): Early-stage endometrial cancer patients are at higher risk of noncancer mortality than of cancer mortality. Competing event models incorporating comorbidity could help identify women most likely to benefit from treatment intensification.
67,397 women with stage I-II endometrioid adenocarcinoma after total hysterectomy diagnosed from 1988 to 2009 were identified in Surveillance, Epidemiology, and End Results (SEER) and linked SEER-Medicare databases. Using demographic and clinical information, including comorbidity, we sought to develop and validate a risk score to predict the incidence of competing mortality.
In the validation cohort, increasing competing mortality risk score was associated with increased risk of noncancer mortality (subdistribution hazard ratio [SDHR], 1.92; 95% confidence interval [CI], 1.60-2.30) and decreased risk of endometrial cancer mortality (SDHR, 0.61; 95% CI, 0.55-0.78). Controlling for other variables, Charlson Comorbidity Index (CCI) = 1 (SDHR, 1.62; 95% CI, 1.45-1.82) and CCI >1 (SDHR, 3.31; 95% CI, 2.74-4.01) were associated with increased risk of noncancer mortality. The 10-year cumulative incidences of competing mortality within low-, medium-, and high-risk strata were 27.3% (95% CI, 25.2%-29.4%), 34.6% (95% CI, 32.5%-36.7%), and 50.3% (95% CI, 48.2%-52.6%), respectively. With increasing competing mortality risk score, we observed a significant decline in omega (ω), indicating a diminishing likelihood of benefit from treatment intensification.
Comorbidity and other factors influence the risk of competing mortality among patients with early-stage endometrial cancer. Competing event models could improve our ability to identify patients likely to benefit from treatment intensification.
早期子宫内膜癌患者的非癌症死亡率高于癌症死亡率。纳入合并症的竞争事件模型可以帮助识别最有可能从治疗强化中获益的女性。
1988 年至 2009 年间,在监测、流行病学和最终结果(SEER)和链接的 SEER-医疗保险数据库中确定了 67397 名接受全子宫切除术诊断的 I-II 期子宫内膜样腺癌患者。使用人口统计学和临床信息,包括合并症,我们试图开发和验证一个风险评分来预测竞争死亡率的发生率。
在验证队列中,竞争死亡率风险评分的增加与非癌症死亡率的增加相关(亚分布危险比 [SDHR],1.92;95%置信区间 [CI],1.60-2.30)和子宫内膜癌死亡率的降低相关(SDHR,0.61;95%CI,0.55-0.78)。控制其他变量后,Charlson 合并症指数(CCI)= 1(SDHR,1.62;95%CI,1.45-1.82)和 CCI>1(SDHR,3.31;95%CI,2.74-4.01)与非癌症死亡率的增加相关。低、中、高危分层的 10 年累积竞争死亡率分别为 27.3%(95%CI,25.2%-29.4%)、34.6%(95%CI,32.5%-36.7%)和 50.3%(95%CI,48.2%-52.6%)。随着竞争死亡率风险评分的增加,我们观察到 omega(ω)显著下降,表明从治疗强化中获益的可能性降低。
合并症和其他因素影响早期子宫内膜癌患者竞争死亡率的风险。竞争事件模型可以提高我们识别最有可能从治疗强化中获益的患者的能力。