Justin Bessette, Jonathan Arditi, Julia Noreck, Robert Edwards, Jacob Kaiserman, Rainy Wortelboer, Mary Ann Nguyen, William Siwik, Shiva Gautam, Tara Szymanski, Eric T Wong
{"title":"Medical comorbidities prognosticate survival in glioblastoma.","authors":"Justin Bessette, Jonathan Arditi, Julia Noreck, Robert Edwards, Jacob Kaiserman, Rainy Wortelboer, Mary Ann Nguyen, William Siwik, Shiva Gautam, Tara Szymanski, Eric T Wong","doi":"10.1038/s44276-025-00189-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Medical comorbidities are prevalent in the glioblastoma population, although their effects on survival are not well established.</p><p><strong>Methods: </strong>We retrospectively extracted known prognostic factors and medical comorbidities at the time of glioblastoma diagnosis for 867 patients who presented to Rhode Island Hospital from 2005-2022.</p><p><strong>Results: </strong>All established prognostic factors were represented. Median age was 65 years (range <1-93). A higher number of comorbidities was associated with older age (p < 0.0001). Having >5 comorbidities doubled the hazard ratio compared to ≤1. While comorbidity burden correlated with decreased survival, the Charlson Comorbidity Index mainly captured the effect of age (Spearman r<sup>2</sup> = 0.874) while secondarily accounting for comorbidities. In univariate analysis, hypertension, hyperlipidemia, type 2 diabetes mellitus, atrial fibrillation, stroke, chronic obstructive pulmonary disease, and other malignancies negatively influenced survival. Multivariate analysis demonstrated that tumor resection, temozolomide/radiotherapy, O<sup>6</sup>-methylguanine-DNA methyltransferase methylation, and bevacizumab use were protective. Pairwise analysis identified that obesity and atrial fibrillation had a higher hazard ratio of 3.3 compared to those with either or none.</p><p><strong>Conclusions: </strong>Findings from this cohort indicate that systemic metabolism plays an important role in modulating survival, and combinatorial comorbidity analysis reveals that untreated obstructive sleep apnea is a potential risk factor for worsened outcomes.</p>","PeriodicalId":519964,"journal":{"name":"BJC reports","volume":"3 1","pages":"75"},"PeriodicalIF":0.0000,"publicationDate":"2025-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12552421/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BJC reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1038/s44276-025-00189-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Medical comorbidities are prevalent in the glioblastoma population, although their effects on survival are not well established.
Methods: We retrospectively extracted known prognostic factors and medical comorbidities at the time of glioblastoma diagnosis for 867 patients who presented to Rhode Island Hospital from 2005-2022.
Results: All established prognostic factors were represented. Median age was 65 years (range <1-93). A higher number of comorbidities was associated with older age (p < 0.0001). Having >5 comorbidities doubled the hazard ratio compared to ≤1. While comorbidity burden correlated with decreased survival, the Charlson Comorbidity Index mainly captured the effect of age (Spearman r2 = 0.874) while secondarily accounting for comorbidities. In univariate analysis, hypertension, hyperlipidemia, type 2 diabetes mellitus, atrial fibrillation, stroke, chronic obstructive pulmonary disease, and other malignancies negatively influenced survival. Multivariate analysis demonstrated that tumor resection, temozolomide/radiotherapy, O6-methylguanine-DNA methyltransferase methylation, and bevacizumab use were protective. Pairwise analysis identified that obesity and atrial fibrillation had a higher hazard ratio of 3.3 compared to those with either or none.
Conclusions: Findings from this cohort indicate that systemic metabolism plays an important role in modulating survival, and combinatorial comorbidity analysis reveals that untreated obstructive sleep apnea is a potential risk factor for worsened outcomes.