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De la Cerda-Vargas MF, Pantalone MR, Söderberg Nauclér C, Medrano-Guzman R, Jauregui Renaud K, Nettel Rueda B, Reynoso-Sanchez MDJ, Lopez-Quintana B, Rodriguez-Florido MA, Feria-Romero IA, Trejo-Rosales RR, Arreola-Rosales RL, Candelas-Rangel JA, Navarro-Dominguez P, Meza-Mata E, Muñoz- Hernandez MA, Segura-Lopez F, Gonzalez-Martinez MDR, Delgado-Aguirre HA, Sandoval-Bonilla BA. Focal-to-bilateral tonic-clonic seizures and High-grade CMV-infection are poor survival predictors in Tumor-related Epilepsy Adult-type diffuse gliomas-A single-center study and literature review. Heliyon 2024; 10:e28555. [PMID: 38623248 PMCID: PMC11016600 DOI: 10.1016/j.heliyon.2024.e28555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 03/11/2024] [Accepted: 03/20/2024] [Indexed: 04/17/2024] Open
Abstract
Introduction Previous studies have reported a correlation between a high-grade CMV-infection and an unfavorable prognosis in glioblastoma (GB). Coversely, epilepsy has been associated with a more favorable outcome in GB patients. Despites epilepsy and CMV share similar molecular mechanisms in GB tumoral microenvironment, the correlation between Tumor-Related-Epilepsy (TRE) and CMVinfection remains unexplored. The aim of our study is to examine the correlation between the dregree of CMV infection and seizure types on the survival of TRE Adult-type-diffuse-glioma. To achieve this objective, we conducted a comprehensive literature review to assess our results regarding previous publications. Methods We conducted a retrospective-observational study on TRE Adult-type-diffuse-gliomas treated at a single center in Mexico from 2010 to 2018. Tumor tissue and cDNA were analyzed by immunochemistry (IHC) for CMV (IE and LA antigens) at the Karolinska Institute in Sweden, and RT-PCR for CMV-gB in Torreon Mexico, respectively. Bivariate analysis (X2-test) was performed to evaluate the association between subtypes of Adult-type-diffuse-glioma (IDH-mut grade 4 astrocytoma vs. IDH-wt glioblastoma) and the following variables: type of hemispheric involvement (mesial vs. neocortical involvement), degree of CMV infection (<25%vs. >25% infected-tumoral cells) and seizure types [Focal awareness, focal impaired awareness, and FBTCS]. Kaplan Meier and Cox analyses were performed to determine the risk, p < 0.05 was considered statistically significant. Results Sixty patients with TRE Adult type diffuse gliomas were included (80% IDH-wt glioblastoma and 20% IDH-mut grade 4astrocytomas). The mean age was 61.5 SD ± 18.4, and 57% were male. Fifty percent of the patients presented with mesial involvement of the hemysphere. Seizure types included focal awareness (15%), focal impaired awareness (43.3%), and FBTCS (41.7%). Ninety percent of cases were treated with Levetiracetam and 33.3% presented Engel-IA postoperative seizure control. More than 90% of samples were positive for CMV-immunohistochemistry (IHC). However, all cDNA analyzed by RT-PCR return negative results. The median of overall survival (OS) was 15 months. High-grade CMV-IE infection (14 vs. 25 months, p<0.001), mesial involvement (12 vs. 18 months, p<0.001), and FBTCS were associated with worse OS (9 vs.18 months for non-FBTCS). Multivariate analysis demonstrated that high-grade CMV infection (HR = 3.689, p=0.002) and FBTCS (HR=7.007, p<0.001) were independent unfavorable survival factors. Conclusions CMV induces a proinflammatory tumoral microenvironment that contributes to the developmet of epilepsy. Tumor progression could be associated not only with a higher degree of CMV infection but also to epileptogenesis, resulting in a seizure phenotype chracterized by FBTCS and poor survival outcomes. This study represents the first survival analysis in Latin America to include a representative sample of TRE Adult-type diffuse gliomas considering CMV-infection-degree and distinguishing features (such as FBTCS) that might have potential clinical relevance in this group of patients. Further prospective studies are required to validate these results.
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Affiliation(s)
- Maria F. De la Cerda-Vargas
- Department of Neurosurgery and Neurotechnology, Universitätsklinik Tübingen, Tübingen, Germany
- Department of Neurosurgery, Medical Specialties Hospital No. 71, Instituto Mexicano del Seguro Social, Torreon Coahuila, Mexico
| | - Mattia Russel Pantalone
- Department of Medicine, Solna, BioClinicum, Karolinska Institutet, 171 64, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, 171 76, Stockholm, Sweden
| | - Cecilia Söderberg Nauclér
- Department of Medicine, Solna, BioClinicum, Karolinska Institutet, 171 64, Stockholm, Sweden
- Department of Biosciences at the University of Turku, InFLAMES Research Flagship Center, MediCity, University of Turku, Finland
| | - Rafael Medrano-Guzman
- Department of Sarcomas, Oncology Hospital, High Specialty Medical Unit (UMAE), National Medical Center, IMSS, Mexico City, Mexico
| | - Kathrine Jauregui Renaud
- Medical Research Unit in Otoneurology, Mexican Institute of Social Security, Mexico City, 06720, Mexico
| | - Barbara Nettel Rueda
- Department of Neurosurgery, Hospital de Especialidades, Centro Médico Nacional (CMN) Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Ma de Jesus Reynoso-Sanchez
- Department of Neuroanesthesiology, CMN Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico, 06720
| | - Brenda Lopez-Quintana
- Department of Neuroanesthesiology, CMN Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico, 06720
| | | | - Iris A. Feria-Romero
- Medical Research Unit in Neurological Diseases, Specialties Hospital, National Medical Center Siglo XXI, Mexican Institute of Social Security, Mexico City, Mexico
| | - Rogelio R. Trejo-Rosales
- Medical Oncology, Hospital de Oncología, Centro Medico Nacional Siglo XXI, Instituto Mexicano Del Seguro Social, Mexico City, 06720, Mexico
| | | | - Jose A. Candelas-Rangel
- Department of Neurosurgery, Medical Specialties Hospital No. 71, Instituto Mexicano del Seguro Social, Torreon Coahuila, Mexico
| | - Pedro Navarro-Dominguez
- Department of Neurosurgery, Medical Specialties Hospital No. 71, Instituto Mexicano del Seguro Social, Torreon Coahuila, Mexico
| | - Elizabeth Meza-Mata
- Department of Pathology, Medical Specialties Hospital No. 71, Instituto Mexicano del Seguro Social, Torreon, Coahuila, Mexico
| | - Melisa A. Muñoz- Hernandez
- Department of Health and Research, Medical Specialties Hospital No. 71, Instituto Mexicano del Seguro Social, Torreón, Coahuila, Mexico
| | - F.K. Segura-Lopez
- Department of Health and Research, Medical Specialties Hospital No. 71, Instituto Mexicano del Seguro Social, Torreón, Coahuila, Mexico
| | | | - Hector A. Delgado-Aguirre
- Department of Transplants, Medical Specialties Hospital No. 71, Instituto Mexicano del Seguro Social, Torreón, Coahuila, Mexico
| | - Bayron A. Sandoval-Bonilla
- Department of Neurosurgery, Epilepsy Surgery Multidisciplinary Board, Functional NeuroOncology Clinic, CMN Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, 06720, Mexico
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Fink L, van Oorschot B, von Saß C, Dibué M, Foster MT, Golla H, Goldbrunner R, Senft C, Lawson McLean A, Hellmich M, Dinc N, Voltz R, Melching H, Jungk C, Kamp MA. Palliative care for in-patient malignant glioma patients in Germany. J Neurooncol 2024; 167:323-338. [PMID: 38506960 PMCID: PMC11023986 DOI: 10.1007/s11060-024-04611-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 02/16/2024] [Indexed: 03/22/2024]
Abstract
OBJECTIVE Malignant gliomas impose a significant symptomatic burden on patients and their families. Current guidelines recommend palliative care for patients with advanced tumors within eight weeks of diagnosis, emphasizing early integration for malignant glioma cases. However, the utilization rate of palliative care for these patients in Germany remains unquantified. This study investigates the proportion of malignant glioma patients who either died in a hospital or were transferred to hospice care from 2019 to 2022, and the prevalence of in-patient specialized palliative care interventions. METHODS In this cross-sectional, retrospective study, we analyzed data from the Institute for the Hospital Remuneration System (InEK GmbH, Siegburg, Germany), covering 2019 to 2022. We included patients with a primary or secondary diagnosis of C71 (malignant glioma) in our analysis. To refine our dataset, we identified cases with dual-coded primary and secondary diagnoses and excluded these to avoid duplication in our final tally. The data extraction process involved detailed scrutiny of hospital records to ascertain the frequency of hospital deaths, hospice transfers, and the provision of complex or specialized palliative care for patients with C71-coded diagnoses. Descriptive statistics and inferential analyses were employed to evaluate the trends and significance of the findings. RESULTS From 2019 to 2022, of the 101,192 hospital cases involving malignant glioma patients, 6,129 (6% of all cases) resulted in in-hospital mortality, while 2,798 (2.8%) led to hospice transfers. Among these, 10,592 cases (10.5% of total) involved the administration of complex or specialized palliative medical care. This provision rate remained unchanged throughout the COVID-19 pandemic. Notably, significantly lower frequencies of complex or specialized palliative care implementation were observed in patients below 65 years (p < 0.0001) and in male patients (padjusted = 0.016). In cases of in-hospital mortality due to malignant gliomas, 2,479 out of 6,129 cases (40.4%) received specialized palliative care. CONCLUSION Despite the poor prognosis and complex symptomatology associated with malignant gliomas, only a small proportion of affected patients received advanced palliative care. Specifically, only about 10% of hospitalized patients with malignant gliomas, and approximately 40% of those who succumb to the disease in hospital settings, were afforded complex or specialized palliative care. This discrepancy underscores an urgent need to expand palliative care access for this patient demographic. Additionally, it highlights the importance of further research to identify and address the barriers preventing wider implementation of palliative care in this context.
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Affiliation(s)
- Larissa Fink
- Center for Palliative and Neuro-palliative Care, Brandenburg Medical School Theodor Fontane, Faculty of Health Sciences Brandenburg, Am Seebad 82/83, 15562, Rüdersdorf bei Berlin, Germany
| | - Birgitt van Oorschot
- Interdisciplinary Center for Palliative Medicine, University Hospital Würzburg, Würzburg, , Germany
| | - Christiane von Saß
- Center for Palliative and Neuro-palliative Care, Brandenburg Medical School Theodor Fontane, Faculty of Health Sciences Brandenburg, Am Seebad 82/83, 15562, Rüdersdorf bei Berlin, Germany
| | - Maxine Dibué
- Center for Neurosurgery, Department of General Neurosurgery, University of Cologne, Cologne, Germany
| | - Marie-Therese Foster
- Department of Neurosurgery, Goethe University Hospital, Frankfurt am Main, Germany
| | - Heidrun Golla
- Department of Palliative Medicine, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Ronald Goldbrunner
- Department of Palliative Medicine, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Christian Senft
- Center of Neuro-Oncology, Department of Neurosurgery, Jena University Hospital, Friedrich-Schiller-University, Jena, Germany
| | - Aaron Lawson McLean
- Center of Neuro-Oncology, Department of Neurosurgery, Jena University Hospital, Friedrich-Schiller-University, Jena, Germany
| | - Martin Hellmich
- Institute of Medical Statistics and Computational Biology (IMSB), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Nazife Dinc
- Center of Neuro-Oncology, Department of Neurosurgery, Jena University Hospital, Friedrich-Schiller-University, Jena, Germany
| | - Raymond Voltz
- Department of Palliative Medicine, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
- Clinical Trials Centre Cologne (CTCC), Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
- Center for Health Services Research (ZVFK), Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Heiner Melching
- German Association for Palliative Care Medicine, Berlin, Germany
| | - Christine Jungk
- Department of Neurosurgery, University Hospital Heidelberg, Heidelberg, Germany
- Department of Neurosurgery, Medical Faculty, Heidelberg University, Heidelberg, Germany
| | - Marcel A Kamp
- Center for Palliative and Neuro-palliative Care, Brandenburg Medical School Theodor Fontane, Faculty of Health Sciences Brandenburg, Am Seebad 82/83, 15562, Rüdersdorf bei Berlin, Germany.
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Lee JO, Ahn SS, Choi KS, Lee J, Jang J, Park JH, Hwang I, Park CK, Park SH, Chung JW, Choi SH. Added prognostic value of 3D deep learning-derived features from preoperative MRI for adult-type diffuse gliomas. Neuro Oncol 2024; 26:571-580. [PMID: 37855826 PMCID: PMC10912011 DOI: 10.1093/neuonc/noad202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Indexed: 10/20/2023] Open
Abstract
BACKGROUND To investigate the prognostic value of spatial features from whole-brain MRI using a three-dimensional (3D) convolutional neural network for adult-type diffuse gliomas. METHODS In a retrospective, multicenter study, 1925 diffuse glioma patients were enrolled from 5 datasets: SNUH (n = 708), UPenn (n = 425), UCSF (n = 500), TCGA (n = 160), and Severance (n = 132). The SNUH and Severance datasets served as external test sets. Precontrast and postcontrast 3D T1-weighted, T2-weighted, and T2-FLAIR images were processed as multichannel 3D images. A 3D-adapted SE-ResNeXt model was trained to predict overall survival. The prognostic value of the deep learning-based prognostic index (DPI), a spatial feature-derived quantitative score, and established prognostic markers were evaluated using Cox regression. Model evaluation was performed using the concordance index (C-index) and Brier score. RESULTS The MRI-only median DPI survival prediction model achieved C-indices of 0.709 and 0.677 (BS = 0.142 and 0.215) and survival differences (P < 0.001 and P = 0.002; log-rank test) for the SNUH and Severance datasets, respectively. Multivariate Cox analysis revealed DPI as a significant prognostic factor, independent of clinical and molecular genetic variables: hazard ratio = 0.032 and 0.036 (P < 0.001 and P = 0.004) for the SNUH and Severance datasets, respectively. Multimodal prediction models achieved higher C-indices than models using only clinical and molecular genetic variables: 0.783 vs. 0.774, P = 0.001, SNUH; 0.766 vs. 0.748, P = 0.023, Severance. CONCLUSIONS The global morphologic feature derived from 3D CNN models using whole-brain MRI has independent prognostic value for diffuse gliomas. Combining clinical, molecular genetic, and imaging data yields the best performance.
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Affiliation(s)
- Jung Oh Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
- Artificial Intelligence Collaborative Network, Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sung Soo Ahn
- Department of Radiology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Kyu Sung Choi
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
- Artificial Intelligence Collaborative Network, Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Junhyeok Lee
- Interdisciplinary Programs in Cancer Biology Major, Seoul National University Graduate School, Seoul, Republic of Korea
| | - Joon Jang
- Department of Biomedical Sciences, Seoul National University, Seoul, Republic of Korea
| | - Jung Hyun Park
- Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Inpyeong Hwang
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
- Artificial Intelligence Collaborative Network, Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Chul-Kee Park
- Department of Neurosurgery, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sung Hye Park
- Department of Pathology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jin Wook Chung
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
- Artificial Intelligence Collaborative Network, Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
- Institute of Innovate Biomedical Technology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Seung Hong Choi
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
- Artificial Intelligence Collaborative Network, Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
- Center for Nanoparticle Research, Institute for Basic Science, Seoul, Republic of Korea
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Liouta E, Koutsarnakis C, Komaitis S, Kalyvas AV, Drosos E, García-Gómez JM, Juan-Albarracín J, Katsaros V, Stavrinou L, Stranjalis G. Preoperative neurocognitive function as an independent survival prognostic marker in primary glioblastoma. Neurooncol Pract 2023; 10:527-535. [PMID: 38026584 PMCID: PMC10666798 DOI: 10.1093/nop/npad027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2023] Open
Abstract
Background Aim of the present study is to investigate whether preoperative neurocognitive status is prognostically associated with overall survival (OS) in newly diagnosed glioblastoma (GBM) patients. Methods Ninety patients with dominant-hemisphere IDH-wild-type GBM were assessed by Mini Mental Status Exam (MMSE), Trail Making Test (TMT) A and B parts, and Control Word Association Test (COWAT) phonemic and semantic subtests. Demographics, Karnofsky Performance Scale, tumor parameters, type of surgery, and adjuvant therapy data were available for patients. Results According to Cox proportional hazards model the neurocognitive variables of TMT B (P < .01), COWAT semantic subset (P < .05), and the MMSE (P < .01) were found significantly associated with survival prediction. From all other factors, only tumor volume and operation type (debulking vs biopsy) showed a statistical association (P < .05) with survival prediction. Kaplan Meier Long rank test showed statistical significance (P < .01) between unimpaired and impaired groups for TMT B, with median survival for the unimpaired group 26 months and 10 months for the impaired group, for COWAT semantic (P < .01) with median survival 23 months and 12 months, respectively and for MMSE (P < .01) with medial survival 19 and 12 months respectively. Conclusions Our study demonstrates that neurocognitive status at baseline-prior to treatment-is an independent prognostic factor for OS in wild-type GBM patients, adding another prognostic tool to assist physicians in selecting the best treatment plan.
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Affiliation(s)
- Evangelia Liouta
- 1st Department of Neurosurgery, National and Kapodistrian University of Athens, Evangelismos Hospital, Athens, Greece
- Hellenic Center for Neurosurgical Research “Prof. Petros Kokkalis,”Athens, Greece
| | - Christos Koutsarnakis
- 1st Department of Neurosurgery, National and Kapodistrian University of Athens, Evangelismos Hospital, Athens, Greece
- Athens Microneurosurgery Laboratory, Grupo de Informática Biomédica (IBIME), Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Valencia, Spain
| | - Spyridon Komaitis
- 1st Department of Neurosurgery, National and Kapodistrian University of Athens, Evangelismos Hospital, Athens, Greece
- Athens Microneurosurgery Laboratory, Grupo de Informática Biomédica (IBIME), Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Valencia, Spain
| | - Aristotelis V Kalyvas
- 1st Department of Neurosurgery, National and Kapodistrian University of Athens, Evangelismos Hospital, Athens, Greece
- Athens Microneurosurgery Laboratory, Grupo de Informática Biomédica (IBIME), Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Valencia, Spain
| | - Evangelos Drosos
- 1st Department of Neurosurgery, National and Kapodistrian University of Athens, Evangelismos Hospital, Athens, Greece
- Athens Microneurosurgery Laboratory, Grupo de Informática Biomédica (IBIME), Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Valencia, Spain
| | - Juan M García-Gómez
- Athens Microneurosurgery Laboratory, Grupo de Informática Biomédica (IBIME), Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Valencia, Spain
| | - Javier Juan-Albarracín
- Athens Microneurosurgery Laboratory, Grupo de Informática Biomédica (IBIME), Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Valencia, Spain
| | - Vasileios Katsaros
- Department of Radiology, General Anti-Cancer and Oncological Hospital of Athens “St. Savvas”, Athens, Greece
| | - Lampis Stavrinou
- 2nd Department of Neurosurgery, National and Kapodistrian University of Athens, ATTIKO Hospital, Athens, Greece
| | - George Stranjalis
- 1st Department of Neurosurgery, National and Kapodistrian University of Athens, Evangelismos Hospital, Athens, Greece
- Hellenic Center for Neurosurgical Research “Prof. Petros Kokkalis,”Athens, Greece
- Athens Microneurosurgery Laboratory, Grupo de Informática Biomédica (IBIME), Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Valencia, Spain
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Kamp MA, von Sass C, Januzi D, Dibué M, Libourius K, Lawson McLean AC, Baumgarten P, Lawson McLean A, Dinc N, Senft CA. Frequency of social burden and underage children in neuro-oncological patients. J Cancer Res Clin Oncol 2023; 149:15911-15922. [PMID: 37679652 PMCID: PMC10620259 DOI: 10.1007/s00432-023-05338-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 08/24/2023] [Indexed: 09/09/2023]
Abstract
OBJECTIVE Brain tumours can cause significant burden for patients and their families, including physical, psychological, and social challenges. This burden can be particularly difficult for patients with malignant brain tumours and those with underage children. However, the frequency of social burden among neuro-oncological patients and the proportion of patients with underaged children is currently unknown. The aim of this retrospective study is to determine the frequency of social and family dysfunction among neuro-oncological patients, the percentage of such patients who have underage children, and to assess their associated burden. METHODS During a 22-month period, all brain tumour patients were asked to complete a short questionnaire that included epidemiological data, the EORTC-qlq-C30 and -BN20 questionnaire, and the distress thermometer. Data were collected and analysed using Prism 9 for macOS (version 9, GraphPad Prism). RESULTS Our analysis included 881 brain tumour patients, of which 540 were female. Median age was 61 years (ranging from 16 to 88 years). Of all patients, 228 suffered from malignant intracranial tumours. More than half of all patients and more than 65% of patients with malignant tumours reported that their illness or medical treatment interfered with their social activities and family life. Almost 30% of patients reported moderate or severe complaints. About 27% of all patients (and 31% of patients with malignancies) expressed moderate or major concerns that their family life could be disrupted. Among the patients with malignancies, 83.5% of patients had a total of 318 children at the time of tumour diagnosis, with a mean age of 33 ± 0.9. Of these patients with malignancies, 38 (17.9%) had a total of 56 underage children at the time of tumour diagnosis, and currently have 53 underage children. Patients with minor children had more financial worries but less interference of their disease with social activities, less psycho-oncological distress, and a more positive outlook into the future (each, p < 0.0001). They evaluated their general health status and quality of life in the week prior to their current appointment significantly better (each p < 0.0001). CONCLUSION Our study found that 17.9% of patients with malignant brain tumours have underage children. However, having underage children may actually be a positive resource for these patients, as they show lower distress values and better quality of life.
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Affiliation(s)
- Marcel A Kamp
- Centre of Neuro-Oncology, Department of Neurosurgery, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany.
| | - Christiane von Sass
- Centre of Neuro-Oncology, Department of Neurosurgery, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany
| | - Donjetë Januzi
- Centre of Neuro-Oncology, Department of Neurosurgery, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany
| | - Maxine Dibué
- Centre of Neuro-Oncology, Department of Neurosurgery, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany
| | - Katharina Libourius
- Centre of Neuro-Oncology, Department of Neurosurgery, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany
| | - Anna C Lawson McLean
- Centre of Neuro-Oncology, Department of Neurosurgery, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany
| | - Peter Baumgarten
- Centre of Neuro-Oncology, Department of Neurosurgery, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany
| | - Aaron Lawson McLean
- Centre of Neuro-Oncology, Department of Neurosurgery, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany
| | - Nazife Dinc
- Centre of Neuro-Oncology, Department of Neurosurgery, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany
| | - Christian A Senft
- Centre of Neuro-Oncology, Department of Neurosurgery, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany
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Zorman MJ, Webb P, Nixon M, Sravanam S, Honeyman S, Nandhabalan M, Apostolopoulos V, Stacey R, Hobbs C, Plaha P. Surgical and oncological score to estimate the survival benefit of resection and chemoradiotherapy in elderly (≥70 years) glioblastoma patients: a preliminary analysis. Neurooncol Adv 2022; 4:vdac007. [PMID: 35261976 PMCID: PMC8896333 DOI: 10.1093/noajnl/vdac007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background Elderly patients with glioblastoma are perceived to face a poor prognosis with perceptions surrounding older age and a relative lack of randomized data contributing. This study evaluated survival prognosticators in elderly glioblastoma patients to more accurately guide their treatment. Methods The records of 169 elderly (≥70 years) patients with a new diagnosis of glioblastoma who had undergone neurosurgical intervention were retrospectively examined for patient sex, age, performance status, comorbidities, MGMT promoter methylation, surgical intervention, and chemoradiation regime. The adjusted survival impact of these factors was determined using Cox proportional hazards model and used to devise a two-stage scoring system to estimate patient survival at the stage of surgical (Elderly Glioblastoma Surgical Score, EGSS) and oncological management (Elderly Glioblastoma Oncological Score, EGOS). Results The median overall survival (mOS) of the cohort was 28.8 weeks. Gross-total and subtotal resection were associated with improved survival compared to biopsy alone (respective mOS 65.3 and 28.1 vs 15.7 weeks, P < .001). Hypofractionated radiotherapy (40Gy in 15 fractions) with Temozolomide was noninferior to the Stupp protocol, P = .72. Exploratory subgroup analysis revealed a significant benefit of Temozolomide-based approaches in MGMT-methylated patients as well as a trend towards improved survival in MGMT-unmethylated patients. Our EGSS and EGOS scores successfully estimated survival in this retrospective cohort with 65% and 73% accuracy. Conclusions Where appropriate and safe, elderly glioblastoma patients may benefit from surgical resection and combined chemoradiotherapy with Temozolomide. The proposed EGSS and EGOS scores take into account important prognostic factors to help guide which patients should receive such treatment.
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Affiliation(s)
- Mark J Zorman
- Department of Neurosurgery, Oxford University Hospital NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
| | - Philip Webb
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Churchill Hospital, Oxford, UK
| | | | - Sanskrithi Sravanam
- Department of Neurosurgery, Oxford University Hospital NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
| | - Susan Honeyman
- Department of Neurosurgery, Oxford University Hospital NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
| | - Meera Nandhabalan
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Churchill Hospital, Oxford, UK
| | - Vasileios Apostolopoulos
- Department of Neurosurgery, Oxford University Hospital NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
| | - Richard Stacey
- Department of Neurosurgery, Oxford University Hospital NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
| | - Claire Hobbs
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Churchill Hospital, Oxford, UK
| | - Puneet Plaha
- Department of Neurosurgery, Oxford University Hospital NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
- Nuffield Department of Surgical Sciences, University of Oxford, UK
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