DISP-02. SOCIOECONOMIC FACTORS INFLUENCE OVERALL SURVIVAL IN CHEMORADIATION-TREATED NEWLY DIAGNOSED WHO GRADE 4 GLIOBLASTOMA

Abstract Social determinants of health are known to influence health outcomes, yet the interactive effects of patient-specific socioeconomic variables on overall survival remain poorly characterized in patients with glioblastoma (GBM). We aimed to assess socioeconomic factors associated with overall survival in a clinically homogenous GBM population. Patients with newly diagnosed isocitrate dehydrogenase wild-type glioblastoma, who underwent maximal safe resection of contrast-enhanced (CE) and non-contrast enhanced tissue (NC) tissue with adjuvant chemoradiation from 1997-2017 were selected for inclusion. Socioeconomic factors were collected through retrospective chart review. Variables associated with overall survival on univariate cox proportional hazards models (p<0.05) were selected for multivariate analysis. 272 patients (42.6% female, 14.3% minority) were included. On univariate logistic regression, older age (HR: 1.23, p<0.001), greater residual CE tissue (HR: 3.95, p<0.001), were associated with reduced survival. Greater extent of resection NCE tissue (HR 0.94, p=0.028), higher postoperative KPS (HR 0.89, p=0.034), and unemployment (HR: 0.67, p=0.022), were associated with longer overall survival. On multivariate analysis, age was associated with reduced survival (HR: 1.31, p<0.001), while unemployment (HR:0.69, p=0.049) was associated with longer overall survival. Subgroup multivariate analyses was performed dividing patients into those <65 (n=185, 45% female, 11.9% minority, 48% employed) and those ≥65 (n=87, 37% female, 14% minority, 20% employed). In the <65 cohort, protective factors included retirement (HR: 0.49 p=0.004), and unemployment (HR:.57, p=0.006). Older age (HR: 1.03, p=0.004), and greater residual CE tissue (HR: 1.16, p=0.03) continued to be associated with poorer survival. No variables correlated with outcomes in the ≥65 cohort. Active employment was associated with reduced survival in GBM patients treated with standard care, potentially serving as a proxy for access to subsequent treatment.

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Journal
Neuro-Oncology
Published
2024-11-01
DOI
https://doi.org/10.1093/neuonc/noae165.0576
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

DISP-02. SOCIOECONOMIC FACTORS INFLUENCE OVERALL SURVIVAL IN CHEMORADIATION-TREATED NEWLY DIAGNOSED WHO GRADE 4 GLIOBLASTOMA

Shawn L. Hervey‐Jumper, Cecilia Dalle Ore, Mulki Mehari, Alexander A. Aabedi et al.
Neuro-Oncology
Radiomics and Machine Learning in Medical Imaging
article

DISP-02. SOCIOECONOMIC FACTORS INFLUENCE OVERALL SURVIVAL IN CHEMORADIATION-TREATED NEWLY DIAGNOSED WHO GRADE 4 GLIOBLASTOMA

Shawn L. Hervey‐Jumper, Cecilia Dalle Ore, Mulki Mehari, Alexander A. Aabedi, Abraham Dada, Aymen Kabir
article en

Abstract

Abstract Social determinants of health are known to influence health outcomes, yet the interactive effects of patient-specific socioeconomic variables on overall survival remain poorly characterized in patients with glioblastoma (GBM). We aimed to assess socioeconomic factors associated with overall survival in a clinically homogenous GBM population. Patients with newly diagnosed isocitrate dehydrogenase wild-type glioblastoma, who underwent maximal safe resection of contrast-enhanced (CE) and non-contrast enhanced tissue (NC) tissue with adjuvant chemoradiation from 1997-2017 were selected for inclusion. Socioeconomic factors were collected through retrospective chart review. Variables associated with overall survival on univariate cox proportional hazards models (p<0.05) were selected for multivariate analysis. 272 patients (42.6% female, 14.3% minority) were included. On univariate logistic regression, older age (HR: 1.23, p<0.001), greater residual CE tissue (HR: 3.95, p<0.001), were associated with reduced survival. Greater extent of resection NCE tissue (HR 0.94, p=0.028), higher postoperative KPS (HR 0.89, p=0.034), and unemployment (HR: 0.67, p=0.022), were associated with longer overall survival. On multivariate analysis, age was associated with reduced survival (HR: 1.31, p<0.001), while unemployment (HR:0.69, p=0.049) was associated with longer overall survival. Subgroup multivariate analyses was performed dividing patients into those <65 (n=185, 45% female, 11.9% minority, 48% employed) and those ≥65 (n=87, 37% female, 14% minority, 20% employed). In the <65 cohort, protective factors included retirement (HR: 0.49 p=0.004), and unemployment (HR:.57, p=0.006). Older age (HR: 1.03, p=0.004), and greater residual CE tissue (HR: 1.16, p=0.03) continued to be associated with poorer survival. No variables correlated with outcomes in the ≥65 cohort. Active employment was associated with reduced survival in GBM patients treated with standard care, potentially serving as a proxy for access to subsequent treatment.

Neuro-OncologyVol. 26(Supplement_8)
University of California, San Francisco (US)
Reduced inequalities
Openalex Percentile: Top 67%
Radiomics and Machine Learning in Medical Imaging
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