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Massaro F, Andreozzi F, Vandevoorde C, Bron D. Supportive Care in Older Lymphoma Patients to Reduce Toxicity and Preserve Quality of Life. Cancers (Basel) 2023; 15:5381. [PMID: 38001641 PMCID: PMC10670135 DOI: 10.3390/cancers15225381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 10/23/2023] [Accepted: 11/10/2023] [Indexed: 11/26/2023] Open
Abstract
The treatment paradigm in older patients with malignant hemopathies is the choice between an effective conservative treatment that preserves quality of life and an intensive, potentially curative treatment with more toxicities. For each patient, it is important to determine the risk/benefit ratio. The patient should be involved in the discussion, sufficiently informed and able to express himself and his expectations in terms of quality of life. However, this informed consent is conditioned by the ability of the patient to understand the risks and benefits of the treatment. Decline in quality of life is an important parameter for older patients with cancer and many prospective trials have now confirmed the impact of different side effects of treatment, such as recurrent hospitalization, loss of autonomy in daily activities, loss of contact with grandchildren and loss of cognitive functions. Interventions oriented to vulnerabilities detected in the older patients (by comprehensive geriatric assessment) and an optimal approach, including preventive measures to reduce treatment-related toxicity and mortality, are directly correlated to improvement in quality of life.
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Affiliation(s)
| | | | | | - Dominique Bron
- Department of Hematology, Jules Bordet Institute, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, 1070 Brussels, Belgium; (F.M.); (F.A.); (C.V.)
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Current Treatment Options and the Role of Functional Status Assessment in Classical Hodgkin Lymphoma in Older Adults: A Review. Cancers (Basel) 2023; 15:cancers15051515. [PMID: 36900306 PMCID: PMC10000520 DOI: 10.3390/cancers15051515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 02/21/2023] [Accepted: 02/27/2023] [Indexed: 03/06/2023] Open
Abstract
Along with the fact that classical Hodgkin lymphoma (cHL) in older adults is frequently considered biologically different from cHL in younger patients, its most distinctive feature is its dismal clinical outcome due to the decreased effectiveness and greater toxicity of therapies. Although strategies to mitigate specific toxicities (e.g., cardiological and pulmonary) have obtained some results, in general, reduced-intensity schemes, proposed as an alternative to ABVD, have proved to be less effective. The addition of brentuximab vedotin (BV) to AVD, especially in a sequential scheme, has demonstrated good efficacy. However, the problem of toxicity persists even with this new therapeutic combination, with comorbidities remaining an important prognostic factor. The adequate stratification of functional status is necessary to distinguish between those patients who will benefit from full treatment and those who will benefit from alternative strategies. A simplified geriatric assessment based on the determination of ADL (activity of daily living), IADL (instrumental ADL), and CIRS-G (Cumulative Illness Rating Scale-Geriatric) scores is an easy-to-use tool that permits adequate patient stratification. Other factors of considerable impact on functional status such as sarcopenia and immunosenescence are currently being studied. A fitness-based treatment choice would also be very useful for relapsed or refractory patients, a more frequent and challenging situation than that is found in young cHL patients.
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Thibaud V, Denève L, Dubruille S, Kenis C, Delforge M, Cattenoz C, Somme D, Wildiers H, Pepersack T, Lamy T, Bron D. Identifying frailty in clinically fit patients diagnosed with hematological malignancies using a simple clinico-biological screening tool: The HEMA-4 study. J Geriatr Oncol 2021; 12:902-908. [PMID: 33648903 DOI: 10.1016/j.jgo.2021.02.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Revised: 01/18/2021] [Accepted: 02/16/2021] [Indexed: 11/26/2022]
Abstract
INTRODUCTION This study aims to develop and validate a simple score to estimate survival in the older population suffering from malignant hemopathies. METHODS We prospectively recruited 285 patients, aged ≥65 years, admitted to receive chemotherapy. At inclusion, a geriatric assessment was performed. Cox proportional hazards models were performed to assess correlations between vulnerabilities and one-year survival. We developed a frailty score, HEMA-4, based on the most powerful prognostic factors. It was externally confirmed with an independent cohort. RESULTS In the development cohort, 206 patients were evaluable. Mean age was 76 years (range 65-90). The HEMA-4 score was created based on four independent predictive factors for survival: cognitive impairment (MMSE<27), comorbidities (≥2 on Charlson comorbidity index), CRP (≥10 mg/L) and low albumin level (<35 g/L). The population was stratified into three groups: good prognosis (score = 0-1, n = 141), intermediate prognosis (score = 2, n = 37) and poor prognosis (score = 3-4, n = 28). Their respective one-year survival was 74%, 51% (HR = 2.30; 95% CI =1.31-4.05; p < 0.01) and 36% (HR = 3.95; 95% CI =2.23-6.98; p < 0.01). In the validation cohort (n = 25), the one-year survival was 78% in the good prognosis group (n = 9) and 50% in the intermediate prognosis group (n = 6). The poor prognosis group had a median survival of four months in the development cohort and six months in the validation cohort (n = 10). CONCLUSION The HEMA-4 score is a simple score that combines cognitive impairment, comorbidities, inflammation and low albumin level. Our data suggest that it predicts survival among older patients suffering from malignant hemopathies referred to receive chemotherapy regardless of their chronological age.
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Affiliation(s)
- Vincent Thibaud
- Department of Hematology, Institut Jules Bordet, ULB, Brussels, Belgium; Department of Hematology, CHU, Rennes, France; Department of Geriatry, CHU, Rennes, France.
| | - Laurence Denève
- Department of Hematology, Institut Jules Bordet, ULB, Brussels, Belgium; Clinic of Psycho-Oncology, Institut Jules Bordet, ULB, Brussels, Belgium
| | - Stéphanie Dubruille
- Department of Hematology, Institut Jules Bordet, ULB, Brussels, Belgium; Clinic of Psycho-Oncology, Institut Jules Bordet, ULB, Brussels, Belgium
| | - Cindy Kenis
- Department of Oncology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Michel Delforge
- Department of Hematology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | | | | | - Hans Wildiers
- Department of Oncology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Thierry Pepersack
- Department of Medical Oncology, Institut Jules Bordet, Université Libre de Bruxelles (U.L.B.), Institut Jules Bordet, ULB, Brussels, Belgium
| | | | - Dominique Bron
- Department of Hematology, Institut Jules Bordet, ULB, Brussels, Belgium
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Abstract
OPINION STATEMENT There is no standard of care for older patients with acute myeloid leukemia (AML) unfit for intensive chemotherapy. AML in older patients remains an area of significant unmet need necessitating novel therapeutic strategies. In older patients with normal cytogenetics, molecular variables can be helpful in refining risk. This molecular revolution has promoted a shift in the treatment paradigm of AML. Open new questions concern the necessity of an individualized therapy that may take into account not only an increase in survival but also the maintenance or improvement in terms of quality of life, the management of symptoms, and a maximization of time outside of hospital care. Molecular abnormalities provide the genomic footprint for the development of targeted therapies. Clinical trials testing the activity of these new agents are ongoing and may reshape treatment strategies for these patients. One promising strategy is to combine low-intensity treatments with novel agents.
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Affiliation(s)
- Xavier Thomas
- Department of Hematology, Hospices Civils de Lyon, Lyon-Sud Hospital, Bat.1G, 165 chemin du Grand Revoyet, 69495, Pierre Bénite, France.
| | - Caroline Le Jeune
- Department of Hematology, Hospices Civils de Lyon, Lyon-Sud Hospital, Bat.1G, 165 chemin du Grand Revoyet, 69495, Pierre Bénite, France
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Engelhardt M, Domm AS, Dold SM, Ihorst G, Reinhardt H, Zober A, Hieke S, Baayen C, Müller SJ, Einsele H, Sonneveld P, Landgren O, Schumacher M, Wäsch R. A concise revised Myeloma Comorbidity Index as a valid prognostic instrument in a large cohort of 801 multiple myeloma patients. Haematologica 2017; 102:910-921. [PMID: 28154088 PMCID: PMC5477610 DOI: 10.3324/haematol.2016.162693] [Citation(s) in RCA: 170] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 01/25/2017] [Indexed: 11/09/2022] Open
Abstract
With growing numbers of elderly multiple myeloma patients, reliable tools to assess their vulnerability are required. The objective of the analysis herein was to develop and validate an easy to use myeloma risk score (revised Myeloma Comorbidity Index) that allows for risk prediction of overall survival and progression-free survival differences in a large patient cohort. We conducted a comprehensive comorbidity, frailty and disability evaluation in 801 consecutive myeloma patients, including comorbidity risks obtained at diagnosis. The cohort was examined within a training and validation set. Multivariate analysis determined renal, lung and Karnofsky Performance Status impairment, frailty and age as significant risks for overall survival. These were combined in a weighted revised Myeloma Comorbidity Index, allowing for the identification of fit (revised Myeloma Comorbidity Index ≤3 [n=247, 30.8%]), intermediate-fit (revised Myeloma Comorbidity Index 4-6 [n=446, 55.7%]) and frail patients (revised Myeloma Comorbidity Index >6 [n=108, 13.5%]): these subgroups, confirmed via validation analysis, showed median overall survival rates of 10.1, 4.4 and 1.2 years, respectively. The revised Myeloma Comorbidity Index was compared to other commonly used comorbidity indices (Charlson Comorbidity Index, Hematopoietic Cell Transplantation-Specific Comorbidity Index, Kaplan-Feinstein Index): if each were divided in risk groups based on 25% and 75% quartiles, highest hazard ratios, best prediction and Brier scores were achieved with the revised Myeloma Comorbidity Index. The advantages of the revised Myeloma Comorbidity Index include its accurate assessment of patients' physical conditions and simple clinical applicability. We propose the revised Myeloma Comorbidity Index to be tested with the "reference" International Myeloma Working Group frailty score in multicenter analyses and future clinical trials. The study was registered at the German Clinical Trials Register (DRKS-00003868).
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Affiliation(s)
- Monika Engelhardt
- Department of Medicine I, Hematology, Oncology & Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Germany
| | - Anne-Saskia Domm
- Department of Medicine I, Hematology, Oncology & Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Germany
| | - Sandra Maria Dold
- Department of Medicine I, Hematology, Oncology & Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Germany
| | - Gabriele Ihorst
- Clinical Trials Unit, Medical Center - University of Freiburg, Faculty of Medicine, Germany
| | - Heike Reinhardt
- Department of Medicine I, Hematology, Oncology & Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Germany
| | - Alexander Zober
- Department of Medicine I, Hematology, Oncology & Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Germany
| | - Stefanie Hieke
- Clinical Trials Unit, Medical Center - University of Freiburg, Faculty of Medicine, Germany.,Center for Medical Biometry and Statistics, University of Freiburg, Faculty of Medicine, Germany
| | - Corine Baayen
- Center for Medical Biometry and Statistics, University of Freiburg, Faculty of Medicine, Germany.,Université de Nantes, UFR des Sciences Pharmaceutiques, Nantes Cedex, France
| | - Stefan Jürgen Müller
- Department of Medicine I, Hematology, Oncology & Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Germany
| | - Hermann Einsele
- Department of Internal Medicine II, University Hospital, Würzburg, Germany
| | | | - Ola Landgren
- Myeloma Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Martin Schumacher
- Center for Medical Biometry and Statistics, University of Freiburg, Faculty of Medicine, Germany
| | - Ralph Wäsch
- Department of Medicine I, Hematology, Oncology & Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Germany
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