Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Research Center for Health Sciences, Department of Biostatistics, Faculty of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
J Gastrointest Cancer. 2022 Jun;53(2):348-355. doi: 10.1007/s12029-021-00609-x. Epub 2021 Mar 3.
In survival analysis, some patients may be at risk of more than one event, for example cancer-related death and cancer-unrelated death. In this case, if the aim of study becomes to assess the impact of risk factors on different causes of death, the competing risk model should be used rather than classical survival model. The aim of the present study is to determine the risk factors for related and unrelated mortality in patients with colorectal cancer using competing risk regression models.
The present retrospective cohort study was carried out on 310 CRC patients. Death due to cancer progression was considered as the interest event, and death due to unrelated cancer was considered as a competing event. Two most popular methods, cause-specific and subdistribution hazard regression model, were used to determine the effect of covariates on incidence and cause-specific hazard. Data analysis was performed using R3.6.2 software and cmprsk and survival packages.
The mean (SD) of patients' age was 55.84 ± 13.2 years and 53.9% of them were male. BMI, T and N stage had a significant effect on both incidence and cause specific hazard of cancer-related death.
The results of this study showed that cancer-related death is strongly correlated with under-weight (BMI < 18.5) and advanced clinical stage of the disease in patients with colorectal cancer. So, in the presence of competing events, both types of regression hazard models should be applied to permit a full understanding of the impact of covariates on the incidence and the rate of occurrence of each outcome.
在生存分析中,一些患者可能面临多种事件的风险,例如癌症相关死亡和癌症无关死亡。在这种情况下,如果研究的目的是评估风险因素对不同死亡原因的影响,则应使用竞争风险模型,而不是经典的生存模型。本研究旨在使用竞争风险回归模型确定结直肠癌患者相关和无关死亡率的危险因素。
本回顾性队列研究纳入了 310 例 CRC 患者。癌症进展导致的死亡被视为感兴趣事件,而与癌症无关的死亡被视为竞争事件。使用两种最流行的方法,即特异性和亚分布风险回归模型,来确定协变量对发生率和特异性风险的影响。数据分析使用 R3.6.2 软件和 cmprsk 和 survival 包进行。
患者的平均(SD)年龄为 55.84±13.2 岁,其中 53.9%为男性。BMI、T 和 N 分期对癌症相关死亡的发生率和原因特异性风险均有显著影响。
本研究结果表明,结直肠癌患者的癌症相关死亡与体重不足(BMI<18.5)和疾病的晚期临床分期密切相关。因此,在存在竞争事件的情况下,应同时应用两种回归风险模型,以充分了解协变量对发生率和每种结局发生的影响。