Beyond Molecular Characterization: The Impact of Age-Adjusted Charlson Comorbidity Index in Glioblastoma Patients Treated with Radio or Radio-Chemotherapy
Tamara Ius, Nicola Montemurro, Giuseppe Lombardi, Alberto D’Amico, Luisa Bellu, Alessandro Parisi, Francesco Martino, Giulia Lezzi, Giulia Gobitti, Giulia Gulino, Riccardo Morganti, Giuseppe Catapano, Francesco Acerbi, Luca Denaro, Francesco Pasqualetti, Marco Krengli

TL;DR
This study shows that the age-adjusted Charlson Comorbidity Index can predict survival outcomes in glioblastoma patients undergoing radiotherapy or chemoradiotherapy.
Contribution
The study demonstrates that ACCI is an independent prognostic factor in newly diagnosed glioblastoma patients.
Findings
Patients with lower ACCI scores had significantly longer overall survival compared to those with higher scores.
The ACCI remained a significant predictor of survival in multivariate analysis.
Abstract
Background: Glioblastoma (GBM) prognosis has been reported to be influenced by age and comorbidity in several investigations. Identifying factors that contribute to poor survival is crucial to optimizing and personalizing therapeutic strategies. In the present retrospective analysis, we investigated the impact of GBM patient stratification using the age adjusted Charlson Comorbidity Index (ACCI). Methods: A total of 165 patients diagnosed with IDH wild-type GBM, treated with post-operative radio or radio-chemotherapy, were evaluated. To assess the impact of comorbidities, patients were stratified into two groups according to their ACCI scores: Group A (ACCI 0–2) and Group B (ACCI >2). The Cox proportional hazards model test was used to compare overall survival (OS) between the two groups of patients and determine whether the presence of comorbidities significantly affected outcomes.…
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Taxonomy
TopicsGlioma Diagnosis and Treatment · Radiation Therapy and Dosimetry · Medical Imaging Techniques and Applications
