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Does preoperative health-related quality of life predict survival in high-grade glioma patients? - a prospective study.

Journal article
Authors Lisa Marie Haraldseide
Asgeir Store Jakola
Ole Solheim
Lisa Millgård Sagberg
Published in British journal of neurosurgery
Pages 1-7
ISSN 1360-046X
Publication year 2019
Published at Institute of Neuroscience and Physiology, Department of Clinical Neuroscience
Pages 1-7
Language en
Links dx.doi.org/10.1080/02688697.2019.16...
www.ncbi.nlm.nih.gov/entrez/query.f...
Subject categories Neurosurgery, Cancer and Oncology

Abstract

Purpose: To explore if preoperative patient-reported health-related quality of life (HRQoL) provides additional prognostic value as a supplement to other preoperatively known clinical factors in patients with high-grade glioma (HGG).Methods: In a prospective explorative study, 114 patients with high-grade glioma were included. The participants completed the generic HRQoL questionnaire EQ-5D 3L, and the disease-specific questionnaires EORTC QLQ-C30 and EORTC QLQ-BN20 1-3 days before surgery. Operating neurosurgeons scored the patient's preoperative functional level by using Karnofsky Performance Status (KPS). Univariate and multivariate Cox regression analyses were performed to identify HRQoL domains that were associated with survival. Kaplan-Meier survival curves and Log-rank tests were used to visualize differences in survival between groups.Results: In addition to preoperative KPS and age, the EORTC QLQ-BN20 subdomains 'seizures' (HR 0.98, p < .006), 'itchy skin' (HR 1.01, p < .036) and 'bladder control' (HR 1.01, p < .023) were statistically significant independent predictors of survival in a multivariate cox model.Conclusions: Our results suggest that in patients with HGG, certain preoperative symptom scales within EORTC QLQ-BN20 may provide additional prognostic information to supplement other clinical prognostic factors. However, further studies are required to validate our findings. Overall the instruments EQ-5D 3L and EORTC QLQ-C30 do not seem to provide much additional valuable prognostic information to already known prognostic factors.

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