Clinical Predictors of Overall Survival in Very Elderly Patients With Glioblastoma: A National Cancer Database Multivariable Analysis.

IF 3.9 2区 医学 Q1 CLINICAL NEUROLOGY Neurosurgery Pub Date : 2025-02-01 Epub Date: 2024-06-28 DOI:10.1227/neu.0000000000003072
Julian Gendreau, Yusuf Mehkri, Cathleen Kuo, Sachiv Chakravarti, Miguel Angel Jimenez, Moshe Shalom, Foad Kazemi, Debraj Mukherjee
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Abstract

Background and objectives: Surgery for the very elderly is a progressively important paradigm as life expectancy continues to rise. Patients with glioblastoma multiforme often undergo surgery, radiotherapy (RT), and chemotherapy (CT) to prolong overall survival (OS). However, the efficacy of these treatment modalities in patients aged 80 years and older has yet to be fully assessed in the literature.

Methods: The National Cancer Database was used to retrospectively identify patients aged 65 years and older with glioblastoma multiforme (1989-2016). All available patient demographic characteristics, disease characteristics, and clinical outcomes were collected. To study OS, bivariable survival models were created using Kaplan-Meier estimates. A Cox proportional-hazards model was used for final adjusted analyses.

Results: A total of 578 very elderly patients (aged 80 years and older) and 2836 elderly patients (aged 65-79 years) were identified. Compared with elderly patients, very elderly patients were more likely to have Medicare (odds ratio [OR] 1.899 [95% CI: 1.417-2.544], P < .001) while less likely to have private insurance status (OR 0.544 [95% CI: 0.401-0.739], P < .001). In addition, very elderly patients were more likely to travel the least distance for treatment and have multiple tumors ( P < .001). When controlling for demographic and disease characteristics, very elderly patients were less likely to receive gross total resection (GTR) (OR 0.822 [95% CI: 0.681-0.991], P < .041), RT (OR 0.385 [95% CI: 0.319-0.466], P < .001), or postoperative CT (OR 0.298 [95% CI: 0.219-0.359], P < .001) relative to elderly counterparts. Within very elderly patients, GTR, RT, and CT all independently and significantly predicted improved OS ( P < .001 for all). These predictive models were deployed in an online calculator ( https://spine.shinyapps.io/GBM_elderly ).

Conclusion: Very elderly patients are less likely to receive GTR, RT, or CT when compared with elderly counterparts despite use of these therapies conferring improved OS. Selected very elderly patients may benefit from more aggressive attempts at surgical and adjuvant treatment.

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胶质母细胞瘤老年患者总生存期的临床预测因素:国家癌症数据库多变量分析。
背景和目的:随着预期寿命的不断延长,对高龄老人进行手术治疗逐渐成为一种重要的模式。多形性胶质母细胞瘤患者通常会接受手术、放疗(RT)和化疗(CT),以延长总生存期(OS)。然而,这些治疗方法对80岁及以上患者的疗效尚未在文献中得到全面评估:方法:利用美国国家癌症数据库对65岁及以上的多形性胶质母细胞瘤患者进行回顾性鉴定(1989-2016年)。收集了所有可用的患者人口统计学特征、疾病特征和临床结果。为研究OS,使用Kaplan-Meier估计值建立了双变量生存模型。最终调整分析采用 Cox 比例危险模型:结果:共发现了 578 名高龄患者(80 岁及以上)和 2836 名老年患者(65-79 岁)。与老年患者相比,高龄患者更有可能拥有医疗保险(几率比[OR] 1.899 [95% CI: 1.417-2.544],P < .001),而较少可能拥有私人保险(OR 0.544 [95% CI: 0.401-0.739],P < .001)。此外,高龄患者更有可能前往最少的距离接受治疗,而且更有可能患有多个肿瘤(P < .001)。在控制了人口统计学和疾病特征后,相对于高龄患者,高龄患者接受全切(GTR)(OR 0.822 [95% CI: 0.681-0.991], P < .041)、RT(OR 0.385 [95% CI: 0.319-0.466], P < .001)或术后 CT(OR 0.298 [95% CI: 0.219-0.359], P < .001)的可能性更低。在超高龄患者中,GTR、RT 和 CT 都能独立且显著地预测 OS 的改善(P < .001)。这些预测模型已部署到在线计算器中(https://spine.shinyapps.io/GBM_elderly):结论:与老年患者相比,极老年患者接受 GTR、RT 或 CT 的可能性较低,尽管使用这些疗法可改善 OS。经过筛选的高龄患者可能会从更积极的手术和辅助治疗中获益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neurosurgery
Neurosurgery 医学-临床神经学
CiteScore
8.20
自引率
6.20%
发文量
898
审稿时长
2-4 weeks
期刊介绍: Neurosurgery, the official journal of the Congress of Neurological Surgeons, publishes research on clinical and experimental neurosurgery covering the very latest developments in science, technology, and medicine. For professionals aware of the rapid pace of developments in the field, this journal is nothing short of indispensable as the most complete window on the contemporary field of neurosurgery. Neurosurgery is the fastest-growing journal in the field, with a worldwide reputation for reliable coverage delivered with a fresh and dynamic outlook.
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