多重疾病患者癌症死亡率和心血管事件的竞争风险

Journal of comorbidity Pub Date : 2014-08-18 eCollection Date: 2014-01-01 DOI:10.15256/joc.2014.4.41
Elizabeth A Bayliss, Liza M Reifler, Chan Zeng, Deanna B McQuillan, Jennifer L Ellis, John F Steiner
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引用次数: 19

摘要

背景:患有心血管和其他合并症的癌症患者同时存在多种不良结局的风险。然而,大多数治疗决策是由单一结果模型的证据指导的,这可能会误导多病患者。目的:我们评估癌症、心血管疾病和其他疾病负担对癌症死亡率、严重心血管事件和其他原因死亡率的相互影响。设计:我们分析了2001年至2008年间首次诊断为癌症的6500名成年人,SEER 5年生存率≥26%,并分析了一系列心血管危险因素。我们估计了5年内癌症死亡率、严重心血管事件(心肌梗死、冠状动脉血运重建或心血管死亡)和其他原因死亡率的累积发生率,并使用病因特异性Cox比例风险模型确定了与每种结果竞争风险相关的因素。结果:癌症诊断后,癌症死亡996例(15.3%),严重心血管事件死亡328例(5.1%),其他原因死亡542例(8.3%)。总共有4,634名(71.3%)队列成员没有这些结果。虽然癌症预后的影响最大,但心血管和其他发病率也单独增加了每种结果的风险。癌症预后对预后的影响在第一年最大,其他发病率对癌症预后较好的个体的影响更大。结论:在多病肿瘤人群中,合并症相互作用影响不同结局的竞争风险。与单结果模型计算的风险相比,量化这些风险可以为癌症加心血管和其他合并症患者提供更准确的信息,以便共同决策。合并症杂志2014;4:29-36。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Competing risks of cancer mortality and cardiovascular events in individuals with multimorbidity.

Competing risks of cancer mortality and cardiovascular events in individuals with multimorbidity.

Competing risks of cancer mortality and cardiovascular events in individuals with multimorbidity.

Background: Cancer patients with cardiovascular and other comorbidities are at concurrent risk of multiple adverse outcomes. However, most treatment decisions are guided by evidence from single-outcome models, which may be misleading for multimorbid patients.

Objective: We assessed the interacting effects of cancer, cardiovascular, and other morbidity burdens on the competing outcomes of cancer mortality, serious cardiovascular events, and other-cause mortality.

Design: We analyzed a cohort of 6,500 adults with initial cancer diagnosis between 2001 and 2008, SEER 5-year survival ≥26%, and a range of cardiovascular risk factors. We estimated the cumulative incidence of cancer mortality, a serious cardiovascular event (myocardial infarction, coronary revascularization, or cardiovascular mortality), and other-cause mortality over 5 years, and identified factors associated with the competing risks of each outcome using cause-specific Cox proportional hazard models.

Results: Following cancer diagnosis, there were 996 (15.3%) cancer deaths, 328 (5.1%) serious cardiovascular events, and 542 (8.3%) deaths from other causes. In all, 4,634 (71.3%) cohort members had none of these outcomes. Although cancer prognosis had the greatest effect, cardiovascular and other morbidity also independently increased the hazard of each outcome. The effect of cancer prognosis on outcome was greatest in year 1, and the effect of other morbidity was greater in individuals with better cancer prognoses.

Conclusion: In multimorbid oncology populations, comorbidities interact to affect the competing risk of different outcomes. Quantifying these risks may provide persons with cancer plus cardiovascular and other comorbidities more accurate information for shared decision-making than risks calculated from single-outcome models. Journal of Comorbidity 2014;4:29-36.

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