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Comorbid Medical Conditions as Predictors of Overall Survival in Glioblastoma Patients

Glioblastoma (GBM) is an aggressive central nervous system tumor with a poor prognosis. This study was conducted to determine any comorbid medical conditions that are associated with survival in GBM. Data were collected from medical records of all patients who presented to VCU Medical Center with GB...

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Autores principales: Carr, Matthew T., Hochheimer, Camille J., Rock, Andrew K., Dincer, Alper, Ravindra, Lakshmi, Zhang, Fan Lily, Opalak, Charles F., Poulos, Nora, Sima, Adam P., Broaddus, William C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6934684/
https://www.ncbi.nlm.nih.gov/pubmed/31882968
http://dx.doi.org/10.1038/s41598-019-56574-w
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author Carr, Matthew T.
Hochheimer, Camille J.
Rock, Andrew K.
Dincer, Alper
Ravindra, Lakshmi
Zhang, Fan Lily
Opalak, Charles F.
Poulos, Nora
Sima, Adam P.
Broaddus, William C.
author_facet Carr, Matthew T.
Hochheimer, Camille J.
Rock, Andrew K.
Dincer, Alper
Ravindra, Lakshmi
Zhang, Fan Lily
Opalak, Charles F.
Poulos, Nora
Sima, Adam P.
Broaddus, William C.
author_sort Carr, Matthew T.
collection PubMed
description Glioblastoma (GBM) is an aggressive central nervous system tumor with a poor prognosis. This study was conducted to determine any comorbid medical conditions that are associated with survival in GBM. Data were collected from medical records of all patients who presented to VCU Medical Center with GBM between January 2005 and February 2015. Patients who underwent surgery/biopsy were considered for inclusion. Cox proportional hazards regression modeling was performed to assess the relationship between survival and sex, race, and comorbid medical conditions. 163 patients met inclusion criteria. Comorbidities associated with survival on individual-characteristic analysis included: history of asthma (Hazard Ratio [HR]: 2.63; 95% Confidence Interval [CI]: 1.24–5.58; p = 0.01), hypercholesterolemia (HR: 1.95; 95% CI: 1.09–3.50; p = 0.02), and incontinence (HR: 2.29; 95% CI: 0.95–5.57; p = 0.07). History of asthma (HR: 2.22; 95% CI: 1.02–4.83; p = 0.04) and hypercholesterolemia (HR: 1.99; 95% CI: 1.11–3.56; p = 0.02) were associated with shorter survival on multivariable analysis. Surgical patients with GBM who had a prior history of asthma or hypercholesterolemia had significantly higher relative risk for mortality on individual-characteristic and multivariable analyses.
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spelling pubmed-69346842019-12-30 Comorbid Medical Conditions as Predictors of Overall Survival in Glioblastoma Patients Carr, Matthew T. Hochheimer, Camille J. Rock, Andrew K. Dincer, Alper Ravindra, Lakshmi Zhang, Fan Lily Opalak, Charles F. Poulos, Nora Sima, Adam P. Broaddus, William C. Sci Rep Article Glioblastoma (GBM) is an aggressive central nervous system tumor with a poor prognosis. This study was conducted to determine any comorbid medical conditions that are associated with survival in GBM. Data were collected from medical records of all patients who presented to VCU Medical Center with GBM between January 2005 and February 2015. Patients who underwent surgery/biopsy were considered for inclusion. Cox proportional hazards regression modeling was performed to assess the relationship between survival and sex, race, and comorbid medical conditions. 163 patients met inclusion criteria. Comorbidities associated with survival on individual-characteristic analysis included: history of asthma (Hazard Ratio [HR]: 2.63; 95% Confidence Interval [CI]: 1.24–5.58; p = 0.01), hypercholesterolemia (HR: 1.95; 95% CI: 1.09–3.50; p = 0.02), and incontinence (HR: 2.29; 95% CI: 0.95–5.57; p = 0.07). History of asthma (HR: 2.22; 95% CI: 1.02–4.83; p = 0.04) and hypercholesterolemia (HR: 1.99; 95% CI: 1.11–3.56; p = 0.02) were associated with shorter survival on multivariable analysis. Surgical patients with GBM who had a prior history of asthma or hypercholesterolemia had significantly higher relative risk for mortality on individual-characteristic and multivariable analyses. Nature Publishing Group UK 2019-12-27 /pmc/articles/PMC6934684/ /pubmed/31882968 http://dx.doi.org/10.1038/s41598-019-56574-w Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Carr, Matthew T.
Hochheimer, Camille J.
Rock, Andrew K.
Dincer, Alper
Ravindra, Lakshmi
Zhang, Fan Lily
Opalak, Charles F.
Poulos, Nora
Sima, Adam P.
Broaddus, William C.
Comorbid Medical Conditions as Predictors of Overall Survival in Glioblastoma Patients
title Comorbid Medical Conditions as Predictors of Overall Survival in Glioblastoma Patients
title_full Comorbid Medical Conditions as Predictors of Overall Survival in Glioblastoma Patients
title_fullStr Comorbid Medical Conditions as Predictors of Overall Survival in Glioblastoma Patients
title_full_unstemmed Comorbid Medical Conditions as Predictors of Overall Survival in Glioblastoma Patients
title_short Comorbid Medical Conditions as Predictors of Overall Survival in Glioblastoma Patients
title_sort comorbid medical conditions as predictors of overall survival in glioblastoma patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6934684/
https://www.ncbi.nlm.nih.gov/pubmed/31882968
http://dx.doi.org/10.1038/s41598-019-56574-w
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