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      Newly diagnosed glioblastoma in geriatric (65 +) patients: impact of patients frailty, comorbidity burden and obesity on overall survival

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          Abstract

          Object

          Increasing age is a known negative prognostic factor for glioblastoma. However, a multifactorial approach is necessary to achieve optimal neuro-oncological treatment. It remains unclear to what extent frailty, comorbidity burden, and obesity might exert influence on survival in geriatric glioblastoma patients. We have therefore reviewed our institutional database to assess the prognostic value of these factors in elderly glioblastoma patients.

          Methods

          Between 2012 and 2018, patients aged ≥ 65 years with newly diagnosed glioblastoma were included in this retrospective analysis. Patients frailty was analyzed using the modified frailty index (mFI), while patients comorbidity burden was assessed according to the Charlson comorbidity index (CCI). Body mass index (BMI) was used as categorized variable.

          Results

          A total of 110 geriatric patients with newly diagnosed glioblastoma were identified. Geriatric patients categorized as least-frail achieved a median overall survival (mOS) of 17 months, whereas most frail patients achieved a mOS of 8 months (p = 0.003). Patients with a CCI > 2 had a lower mOS of 6 months compared to patients with a lower comorbidity burden (12 months; p = 0.03). Multivariate analysis identified “subtotal resection” (p = 0.02), “unmethylated MGMT promoter status” (p = 0.03), “BMI < 30” (p = 0.04), and “frail patient (mFI ≥ 0.27)” (p = 0.03) as significant and independent predictors of 1-year mortality in geriatric patients with surgical treatment of glioblastoma (Nagelkerke's R 2 0.31).

          Conclusions

          The present study concludes that both increased frailty and comorbidity burden are significantly associated with poor OS in geriatric patients with glioblastoma. Further, the present series suggests an obesity paradox in geriatric glioblastoma patients.

          Electronic supplementary material

          The online version of this article (10.1007/s11060-020-03625-2) contains supplementary material, which is available to authorized users.

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          Most cited references27

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          A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation

          The objective of this study was to develop a prospectively applicable method for classifying comorbid conditions which might alter the risk of mortality for use in longitudinal studies. A weighted index that takes into account the number and the seriousness of comorbid disease was developed in a cohort of 559 medical patients. The 1-yr mortality rates for the different scores were: "0", 12% (181); "1-2", 26% (225); "3-4", 52% (71); and "greater than or equal to 5", 85% (82). The index was tested for its ability to predict risk of death from comorbid disease in the second cohort of 685 patients during a 10-yr follow-up. The percent of patients who died of comorbid disease for the different scores were: "0", 8% (588); "1", 25% (54); "2", 48% (25); "greater than or equal to 3", 59% (18). With each increased level of the comorbidity index, there were stepwise increases in the cumulative mortality attributable to comorbid disease (log rank chi 2 = 165; p less than 0.0001). In this longer follow-up, age was also a predictor of mortality (p less than 0.001). The new index performed similarly to a previous system devised by Kaplan and Feinstein. The method of classifying comorbidity provides a simple, readily applicable and valid method of estimating risk of death from comorbid disease for use in longitudinal studies. Further work in larger populations is still required to refine the approach because the number of patients with any given condition in this study was relatively small.
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            Obesity

            Excess bodyweight is the sixth most important risk factor contributing to the overall burden of disease worldwide. 1.1 billion adults and 10% of children are now classified as overweight or obese. Average life expectancy is already diminished; the main adverse consequences are cardiovascular disease, type 2 diabetes, and several cancers. The complex pathological processes reflect environmental and genetic interactions, and individuals from disadvantaged communities seem to have greater risks than more affluent individuals partly because of fetal and postnatal imprinting. Obesity, with its array of comorbidities, necessitates careful clinical assessment to identify underlying factors and to allow coherent management. The epidemic reflects progressive secular and age-related decreases in physical activity, together with substantial dietary changes with passive over-consumption of energy despite the neurobiological processes controlling food intake. Effective long-term weight loss depends on permanent changes in dietary quality, energy intake, and activity. Neither the medical management nor the societal preventive challenges are currently being met.
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              Short-Course Radiation plus Temozolomide in Elderly Patients with Glioblastoma

              Glioblastoma is associated with a poor prognosis in the elderly. Survival has been shown to increase among patients 70 years of age or younger when temozolomide chemotherapy is added to standard radiotherapy (60 Gy over a period of 6 weeks). In elderly patients, more convenient shorter courses of radiotherapy are commonly used, but the benefit of adding temozolomide to a shorter course of radiotherapy is unknown.
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                Author and article information

                Contributors
                matthias.schneider@ukbonn.de
                Journal
                J Neurooncol
                J Neurooncol
                Journal of Neuro-Oncology
                Springer US (New York )
                0167-594X
                1573-7373
                29 September 2020
                29 September 2020
                2020
                : 149
                : 3
                : 421-427
                Affiliations
                [1 ]GRID grid.15090.3d, ISNI 0000 0000 8786 803X, Department of Neurosurgery, , University Hospital Bonn, ; Venusberg-Campus 1, 53127 Bonn, Germany
                [2 ]GRID grid.15090.3d, ISNI 0000 0000 8786 803X, Division of Clinical Neurooncology, Department of Neurology, , University Hospital Bonn, ; Bonn, Germany
                [3 ]Department of Geriatric Medicine and Neurology, Johanniterkrankenhaus and CIO Bonn, Bonn, Germany
                Author information
                http://orcid.org/0000-0002-6025-7479
                Article
                3625
                10.1007/s11060-020-03625-2
                7609438
                32989681
                f1031fbf-a9e2-4b80-b620-41ebc9b1c50d
                © The Author(s) 2020

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 30 July 2020
                : 16 September 2020
                Funding
                Funded by: Universitätsklinikum Bonn (8930)
                Categories
                Clinical Study
                Custom metadata
                © Springer Science+Business Media, LLC, part of Springer Nature 2020

                Oncology & Radiotherapy
                geriatric glioblastoma patients,frailty,comorbidity,survival
                Oncology & Radiotherapy
                geriatric glioblastoma patients, frailty, comorbidity, survival

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