Department of General Medical Oncology, University Hospitals Leuven, Leuven, Belgium.
Department of Geriatric Medicine, University Hospitals Leuven, Leuven, Belgium.
Cancer. 2018 Sep 15;124(18):3753-3763. doi: 10.1002/cncr.31581. Epub 2018 Oct 9.
The aim of this study was to determine and compare the added prognostic value of screening tools, geriatric assessment (GA) components, and GA summaries to clinical information for overall survival (OS) in older patients with cancer.
A screening and a 10-item GA were systematically performed in patients ≥70 years old with cancer. Cox regression analyses were conducted to evaluate the added prognostic value for OS of screening tools, GA, and GA summaries to clinical information (age, stage, and tumor type) in 2 cohorts (A and B). Cox models were compared on the basis of the Akaike information criterion and the concordance probability estimate. The 2 cohorts for the analyses were similar but independent.
A complete case analysis was available for 763 patients (median age, 76 years) in cohort A and for 402 patients (median age, 77 years) in cohort B. In both cohorts, most individual GA components were independent prognostic factors for OS. Nutritional status (assessed with the Mini Nutritional Assessment Short Form) and functional status (assessed with the Instrumental Activities of Daily Living) consistently displayed a strong capacity to predict OS. Less consistent results were found for screening tools. GA summaries performed the best in comparison with the screening tools and the individual GA components.
Most individual GA components, especially nutritional status and functional status, are prognostic factors for OS in older patients with cancer. GA summaries provide more prognostic information than individual GA components but only moderately improve the prognostic baseline model with clinical information.
本研究旨在确定并比较筛选工具、老年评估(GA)组成部分和 GA 综合指标在预测癌症老年患者总生存期(OS)方面相对于临床信息的额外预后价值。
对年龄≥70 岁的癌症患者进行系统性的筛选和 10 项 GA。在两个队列(A 和 B)中,采用 Cox 回归分析评估筛选工具、GA 和 GA 综合指标相对于临床信息(年龄、分期和肿瘤类型)对 OS 的额外预后价值。基于赤池信息量准则和一致性概率估计对 Cox 模型进行比较。两个队列的分析是相似的,但相互独立。
在队列 A 中,有 763 例(中位年龄为 76 岁)患者可进行完全病例分析,在队列 B 中,有 402 例(中位年龄为 77 岁)患者可进行完全病例分析。在两个队列中,大多数 GA 组成部分都是 OS 的独立预后因素。营养状况(采用 Mini Nutritional Assessment Short Form 评估)和功能状态(采用 Instrumental Activities of Daily Living 评估)一直是 OS 的强有力预测因素。筛选工具的结果则不一致。GA 综合指标与筛选工具和 GA 组成部分相比,表现出最好的性能。
大多数 GA 组成部分,特别是营养状况和功能状态,是癌症老年患者 OS 的预后因素。GA 综合指标提供了比单个 GA 组成部分更多的预后信息,但仅能适度改善包含临床信息的基本预后模型。