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Predicting disease progression in high-grade glioma with neuropsychological parameters: the value of personalized longitudinal assessment

PURPOSE: Progressive disease in patients with high-grade glioma may be reflected in cognitive decline. However, the cognitive functions most sensitive to progression may differ between patients. We investigated whether decline on a personalized selection of tests predicted progressive disease accord...

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Autores principales: Butterbrod, Elke, Bruijn, Jimme, Braaksma, Meriam M., Rutten, Geert-Jan M., Tijssen, Cees C., Hanse, Monique C. J., Sitskoorn, Margriet M., Gehring, Karin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764928/
https://www.ncbi.nlm.nih.gov/pubmed/31342318
http://dx.doi.org/10.1007/s11060-019-03249-1
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author Butterbrod, Elke
Bruijn, Jimme
Braaksma, Meriam M.
Rutten, Geert-Jan M.
Tijssen, Cees C.
Hanse, Monique C. J.
Sitskoorn, Margriet M.
Gehring, Karin
author_facet Butterbrod, Elke
Bruijn, Jimme
Braaksma, Meriam M.
Rutten, Geert-Jan M.
Tijssen, Cees C.
Hanse, Monique C. J.
Sitskoorn, Margriet M.
Gehring, Karin
author_sort Butterbrod, Elke
collection PubMed
description PURPOSE: Progressive disease in patients with high-grade glioma may be reflected in cognitive decline. However, the cognitive functions most sensitive to progression may differ between patients. We investigated whether decline on a personalized selection of tests predicted progressive disease according to RANO criteria in high-grade glioma patients. METHODS: Starting one day before surgery, patients underwent neuropsychological assessment every three months during standard treatment and clinical follow-up. We first made a personalized selection of three tests that showed the highest Reliable Change Index (RCI) values, i.e., most positive change, at the first post-surgical assessment for each patient. In subsequent follow up, a decline of RCI ≤ − 1 on at least two of the three tests in the selection was considered cognitive decline. We performed a discrete Cox proportional hazards model including a time-dependent coefficient cognitive decline (vs. stability) and covariate age to predict progressive disease. RESULTS: Twenty five patients were included. Cognitive decline on the personalized test selection preceded or had occurred by the time progression was established in 9/15 patients with RANO confirmed progressive disease (60%). Decline was absent in 8/10 patients (80%) with stable disease during participation. The independent hazard ratio for progression in case of cognitive decline was 5.05 (p < 0.01) compared to stable performance. CONCLUSIONS: Using only three patient-specific neuropsychological tests, we found a fivefold increased chance of disease progression in case of cognitive decline as compared to stable performance. Brief, patient-tailored cognitive assessment may be a noninvasive addition to disease monitoring without overburdening patients and clinical care. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11060-019-03249-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-67649282019-10-07 Predicting disease progression in high-grade glioma with neuropsychological parameters: the value of personalized longitudinal assessment Butterbrod, Elke Bruijn, Jimme Braaksma, Meriam M. Rutten, Geert-Jan M. Tijssen, Cees C. Hanse, Monique C. J. Sitskoorn, Margriet M. Gehring, Karin J Neurooncol Clinical Study PURPOSE: Progressive disease in patients with high-grade glioma may be reflected in cognitive decline. However, the cognitive functions most sensitive to progression may differ between patients. We investigated whether decline on a personalized selection of tests predicted progressive disease according to RANO criteria in high-grade glioma patients. METHODS: Starting one day before surgery, patients underwent neuropsychological assessment every three months during standard treatment and clinical follow-up. We first made a personalized selection of three tests that showed the highest Reliable Change Index (RCI) values, i.e., most positive change, at the first post-surgical assessment for each patient. In subsequent follow up, a decline of RCI ≤ − 1 on at least two of the three tests in the selection was considered cognitive decline. We performed a discrete Cox proportional hazards model including a time-dependent coefficient cognitive decline (vs. stability) and covariate age to predict progressive disease. RESULTS: Twenty five patients were included. Cognitive decline on the personalized test selection preceded or had occurred by the time progression was established in 9/15 patients with RANO confirmed progressive disease (60%). Decline was absent in 8/10 patients (80%) with stable disease during participation. The independent hazard ratio for progression in case of cognitive decline was 5.05 (p < 0.01) compared to stable performance. CONCLUSIONS: Using only three patient-specific neuropsychological tests, we found a fivefold increased chance of disease progression in case of cognitive decline as compared to stable performance. Brief, patient-tailored cognitive assessment may be a noninvasive addition to disease monitoring without overburdening patients and clinical care. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11060-019-03249-1) contains supplementary material, which is available to authorized users. Springer US 2019-07-24 2019 /pmc/articles/PMC6764928/ /pubmed/31342318 http://dx.doi.org/10.1007/s11060-019-03249-1 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.
spellingShingle Clinical Study
Butterbrod, Elke
Bruijn, Jimme
Braaksma, Meriam M.
Rutten, Geert-Jan M.
Tijssen, Cees C.
Hanse, Monique C. J.
Sitskoorn, Margriet M.
Gehring, Karin
Predicting disease progression in high-grade glioma with neuropsychological parameters: the value of personalized longitudinal assessment
title Predicting disease progression in high-grade glioma with neuropsychological parameters: the value of personalized longitudinal assessment
title_full Predicting disease progression in high-grade glioma with neuropsychological parameters: the value of personalized longitudinal assessment
title_fullStr Predicting disease progression in high-grade glioma with neuropsychological parameters: the value of personalized longitudinal assessment
title_full_unstemmed Predicting disease progression in high-grade glioma with neuropsychological parameters: the value of personalized longitudinal assessment
title_short Predicting disease progression in high-grade glioma with neuropsychological parameters: the value of personalized longitudinal assessment
title_sort predicting disease progression in high-grade glioma with neuropsychological parameters: the value of personalized longitudinal assessment
topic Clinical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764928/
https://www.ncbi.nlm.nih.gov/pubmed/31342318
http://dx.doi.org/10.1007/s11060-019-03249-1
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