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

Author:

Gendreau Julian1,Mehkri Yusuf2,Kuo Cathleen3,Chakravarti Sachiv4,Jimenez Miguel Angel5,Shalom Moshe6,Kazemi Foad1,Mukherjee Debraj1ORCID

Affiliation:

1. Department of Neurological Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA;

2. Department of Neurological Surgery, University of Florida School of Medicine, Gainesville, Florida, USA;

3. Department of Neurological Surgery, University of Buffalo Jacobs School of Medicine, Buffalo, New York, USA;

4. Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA;

5. Department of Neurological Surgery, University of Chicago Pritzker School of Medicine, Chicago, Illinois, USA;

6. Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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