Department of Urology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States of America.
PLoS One. 2020 Dec 7;15(12):e0240039. doi: 10.1371/journal.pone.0240039. eCollection 2020.
To develop a tool for estimating the 10-year risk of death from other causes in men with localized prostate cancer.
We identified 2,425 patients from the Surveillance Epidemiology and End Results-Medicare Health Outcomes Survey database, age <80, newly diagnosed with clinical stage T1-T3a prostate cancer from 1/1/1998-12/31/2009, with follow-up through 2/28/2013. We developed a Fine and Gray competing-risks model for 10-year other cause mortality considering age, patient-reported comorbid medical conditions, component scores and items of the SF-36 Health Survey, activities of daily living, and sociodemographic characteristics. Model discrimination and calibration were compared to predictions from Social Security life table mortality risk estimates.
Over a median follow-up of 7.7 years, 76 men died of prostate-specific causes and 465 died of other causes. The strongest predictors of 10-year other cause mortality risk included increasing age at diagnosis, higher approximated Charlson Comorbidity Index score, worse patient-reported general health (fair or poor vs. excellent-good), smoking at diagnosis, and marital status (all other vs. married) (all p<0.05). Model discrimination improved over Social Security life tables (c-index of 0.70 vs. 0.59, respectively). Predictions were more accurate than predictions from the Social Security life tables, which overestimated risk in our population.
We provide a tool for estimating the 10-year risk of dying from other causes when making decisions about treating prostate cancer using pre-treatment patient-reported characteristics.
开发一种工具,用于估计局限性前列腺癌男性患者因其他原因死亡的 10 年风险。
我们从监测、流行病学和最终结果-医疗保险健康结果调查数据库中确定了 2425 名年龄<80 岁、新诊断为临床分期 T1-T3a 前列腺癌的患者,随访至 2013 年 2 月 28 日。我们开发了一种 Fine and Gray 竞争风险模型,用于考虑年龄、患者报告的合并症医疗状况、SF-36 健康调查的组成评分和项目、日常生活活动以及社会人口统计学特征的 10 年其他原因死亡率。将模型的区分度和校准度与社会保障生命表死亡率风险估计的预测值进行了比较。
在中位随访 7.7 年期间,76 名男性死于前列腺癌特异性原因,465 名男性死于其他原因。10 年其他原因死亡率的最强预测因素包括诊断时年龄的增加、较高的近似 Charlson 合并症指数评分、患者报告的一般健康状况较差(一般或差与极好或好)、诊断时吸烟和婚姻状况(所有其他与已婚)(均 P<0.05)。模型的区分度优于社会保障生命表(分别为 0.70 和 0.59)。预测比社会保障生命表更准确,后者高估了我们人群的风险。
我们提供了一种工具,用于在使用治疗前列腺癌的治疗前患者报告特征做出决策时,估计因其他原因死亡的 10 年风险。