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Palliative care of older glioblastoma patients in neurosurgery. J Neurooncol 2022; 157:297-305. [PMID: 35332410 PMCID: PMC9021091 DOI: 10.1007/s11060-022-03985-x] [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: 12/06/2021] [Accepted: 03/14/2022] [Indexed: 11/17/2022]
Abstract
Purpose The care of older neurosurgical patients at the end life is a particularly demanding challenge. Especially, the specific needs of very old patients with glioblastoma at the end of life are at risk of being deprived of adequate care. Methods Based on a narrative literature review, this article aims to explore key issues of the thematic intersection of geriatric glioblastoma patients, palliative care and neurosurgery. Results and discussion Four key issues were identified: patient-centeredness (need orientation and decision making), early palliative care, advance care planning, and multi-professionalism. Possible benefits and barriers are highlighted with regard to integrating these concepts into neurosurgery. Conclusions Palliative care complements neurosurgical care of geriatric glioblastoma multiforme patients to optimise care for this highly vulnerable category of patients.
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Flanigan PM, Jahangiri A, Kuang R, Truong A, Choi S, Chou A, Molinaro AM, McDermott MW, Berger MS, Aghi MK. Developing an Algorithm for Optimizing Care of Elderly Patients With Glioblastoma. Neurosurgery 2017; 82:64-75. [DOI: 10.1093/neuros/nyx148] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Accepted: 03/08/2017] [Indexed: 11/14/2022] Open
Abstract
Abstract
BACKGROUND
Elderly patients with glioblastoma have an especially poor prognosis; optimizing their medical and surgical care remains of paramount importance.
OBJECTIVE
To investigate patient and treatment characteristics of elderly vs nonelderly patients and develop an algorithm to predict elderly patients’ survival.
METHODS
Retrospective analysis of 554 patients (mean age = 60.8; 42.0% female) undergoing first glioblastoma resection or biopsy at our institution (2005-2011).
RESULTS
Of the 554 patients, 218 (39%) were elderly (≥65 yr). Compared with nonelderly, elderly patients were more likely to receive biopsy only (26% vs 16%), have ≥1 medical comorbidity (40% vs 20%), and develop postresection morbidity (eg, seizure, delirium; 25% vs 14%), and were less likely to receive temozolomide (TMZ) (78% vs 90%) and gross total resection (31% vs 45%). To predict benefit of resection in elderly patients (n = 161), we identified 5 factors known in the preoperative period that predicted survival in a multivariate analysis. We then assigned points to each (1 point: Charlson comorbidity score >0, subtotal resection, tumor >3 cm; 2 points: preoperative weakness, Charlson comorbidity score >1, tumor >5 cm, age >75 yr; 4 points: age >85 yr). Having 3 to 5 points (n = 78, 56%) was associated with decreased survival compared to 0 to 2 points (n = 41, 29%, 8.5 vs 16.9 mo; P = .001) and increased survival compared to 6 to 9 points (n = 20, 14%, 8.5 vs 4.5 mo; P < .001). Patients with 6 to 9 points did not survive significantly longer than elderly patients receiving biopsy only (n = 57, 4.5 vs 2.7 mo; P = .58).
CONCLUSION
Further optimization of the medical and surgical care of elderly glioblastoma patients may be achieved by providing more beneficial therapies while avoiding unnecessary resection in those not likely to receive benefit from this intervention.
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Affiliation(s)
- Patrick M Flanigan
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Arman Jahangiri
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Ruby Kuang
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Albert Truong
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Sarah Choi
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Alvin Chou
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Annette M Molinaro
- Departments of Neurological Surgery and Epidemiology and Biostatistics, University of California, San Francisco, California
| | - Michael W McDermott
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Manish K Aghi
- Department of Neurological Surgery, University of California, San Francisco, California
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