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Socioeconomic and demographic determinants of radiation treatment and outcomes in glioblastoma patients

INTRODUCTION: Poor outcomes in glioblastoma patients, despite advancing treatment paradigms, indicate a need to determine non-physiologic prognostic indicators of patient outcome. The impact of specific socioeconomic and demographic patient factors on outcomes is unclear. We sought to identify socio...

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Autores principales: Hsu, Eric J., Thomas, Jamie, Timmerman, Robert D., Wardak, Zabi, Dan, Tu D., Patel, Toral R., Sanford, Nina N., Vo, Dat T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691959/
https://www.ncbi.nlm.nih.gov/pubmed/36438954
http://dx.doi.org/10.3389/fneur.2022.1024138
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author Hsu, Eric J.
Thomas, Jamie
Timmerman, Robert D.
Wardak, Zabi
Dan, Tu D.
Patel, Toral R.
Sanford, Nina N.
Vo, Dat T.
author_facet Hsu, Eric J.
Thomas, Jamie
Timmerman, Robert D.
Wardak, Zabi
Dan, Tu D.
Patel, Toral R.
Sanford, Nina N.
Vo, Dat T.
author_sort Hsu, Eric J.
collection PubMed
description INTRODUCTION: Poor outcomes in glioblastoma patients, despite advancing treatment paradigms, indicate a need to determine non-physiologic prognostic indicators of patient outcome. The impact of specific socioeconomic and demographic patient factors on outcomes is unclear. We sought to identify socioeconomic and demographic patient characteristics associated with patient survival and tumor progression, and to characterize treatment options and healthcare utilization. METHODS: A cohort of 169 patients with pathologically confirmed glioblastomas treated at our institution was retrospectively reviewed. Multivariable cox proportional hazards analysis for overall survival (OS) and cumulative incidence of progression was performed. Differences in treatment regimen, patient characteristics, and neuro-oncology office use between different age and depressive disorder history patient subgroups were calculated two-sample t-tests, Fisher's exact tests, or linear regression analysis. RESULTS: The median age of all patients at the time of initiation of radiation therapy was 60.5 years. The median OS of the cohort was 13.1 months. Multivariable analysis identified age (Hazard Ratio 1.02, 95% CI 1.00–1.04) and total resection (Hazard Ratio 0.52, 95% CI 0.33–0.82) as significant predictors of OS. Increased number of radiation fractions (Hazard Ratio 0.90, 95% CI 0.82–0.98), depressive disorder history (Hazard Ratio 0.59, 95% CI 0.37–0.95), and total resection (Hazard Ratio 0.52, 95% CI 0.31–0.88) were associated with decreased incidence of progression. Notably, patients with depressive disorder history were observed to have more neuro-oncology physician office visits over time (median 12 vs. 16 visits, p = 0.0121). Patients older than 60 years and those with Medicare (vs. private) insurance were less likely to receive as many radiation fractions (p = 0.0014) or receive temozolomide concurrently with radiation (Odds Ratio 0.46, p = 0.0139). CONCLUSION: Older glioblastoma patients were less likely to receive as diverse of a treatment regimen as their younger counterparts, which may be partially driven by insurance type. Patients with depressive disorder history exhibited reduced incidence of progression, which may be due to more frequent health care contact during neuro-oncology physician office visits.
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spelling pubmed-96919592022-11-26 Socioeconomic and demographic determinants of radiation treatment and outcomes in glioblastoma patients Hsu, Eric J. Thomas, Jamie Timmerman, Robert D. Wardak, Zabi Dan, Tu D. Patel, Toral R. Sanford, Nina N. Vo, Dat T. Front Neurol Neurology INTRODUCTION: Poor outcomes in glioblastoma patients, despite advancing treatment paradigms, indicate a need to determine non-physiologic prognostic indicators of patient outcome. The impact of specific socioeconomic and demographic patient factors on outcomes is unclear. We sought to identify socioeconomic and demographic patient characteristics associated with patient survival and tumor progression, and to characterize treatment options and healthcare utilization. METHODS: A cohort of 169 patients with pathologically confirmed glioblastomas treated at our institution was retrospectively reviewed. Multivariable cox proportional hazards analysis for overall survival (OS) and cumulative incidence of progression was performed. Differences in treatment regimen, patient characteristics, and neuro-oncology office use between different age and depressive disorder history patient subgroups were calculated two-sample t-tests, Fisher's exact tests, or linear regression analysis. RESULTS: The median age of all patients at the time of initiation of radiation therapy was 60.5 years. The median OS of the cohort was 13.1 months. Multivariable analysis identified age (Hazard Ratio 1.02, 95% CI 1.00–1.04) and total resection (Hazard Ratio 0.52, 95% CI 0.33–0.82) as significant predictors of OS. Increased number of radiation fractions (Hazard Ratio 0.90, 95% CI 0.82–0.98), depressive disorder history (Hazard Ratio 0.59, 95% CI 0.37–0.95), and total resection (Hazard Ratio 0.52, 95% CI 0.31–0.88) were associated with decreased incidence of progression. Notably, patients with depressive disorder history were observed to have more neuro-oncology physician office visits over time (median 12 vs. 16 visits, p = 0.0121). Patients older than 60 years and those with Medicare (vs. private) insurance were less likely to receive as many radiation fractions (p = 0.0014) or receive temozolomide concurrently with radiation (Odds Ratio 0.46, p = 0.0139). CONCLUSION: Older glioblastoma patients were less likely to receive as diverse of a treatment regimen as their younger counterparts, which may be partially driven by insurance type. Patients with depressive disorder history exhibited reduced incidence of progression, which may be due to more frequent health care contact during neuro-oncology physician office visits. Frontiers Media S.A. 2022-11-11 /pmc/articles/PMC9691959/ /pubmed/36438954 http://dx.doi.org/10.3389/fneur.2022.1024138 Text en Copyright © 2022 Hsu, Thomas, Timmerman, Wardak, Dan, Patel, Sanford and Vo. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Hsu, Eric J.
Thomas, Jamie
Timmerman, Robert D.
Wardak, Zabi
Dan, Tu D.
Patel, Toral R.
Sanford, Nina N.
Vo, Dat T.
Socioeconomic and demographic determinants of radiation treatment and outcomes in glioblastoma patients
title Socioeconomic and demographic determinants of radiation treatment and outcomes in glioblastoma patients
title_full Socioeconomic and demographic determinants of radiation treatment and outcomes in glioblastoma patients
title_fullStr Socioeconomic and demographic determinants of radiation treatment and outcomes in glioblastoma patients
title_full_unstemmed Socioeconomic and demographic determinants of radiation treatment and outcomes in glioblastoma patients
title_short Socioeconomic and demographic determinants of radiation treatment and outcomes in glioblastoma patients
title_sort socioeconomic and demographic determinants of radiation treatment and outcomes in glioblastoma patients
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691959/
https://www.ncbi.nlm.nih.gov/pubmed/36438954
http://dx.doi.org/10.3389/fneur.2022.1024138
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