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Review
. 2022 Dec 9;2022(1):337-348.
doi: 10.1182/hematology.2022000346.

Fitness and frailty in myeloma

Affiliations
Review

Fitness and frailty in myeloma

Charlotte Pawlyn et al. Hematology Am Soc Hematol Educ Program. .

Abstract

As the aging population grows, so too does the number of well-tolerated antimyeloma therapies. Physicians will see an increasing volume of patients for subsequent lines of therapy, which could now extend this relationship for over a decade. For younger patients, treatment choices are infrequently impacted by concerns of fitness, but instead about effecting the deepest, most durable response. Older adults, in contrast, are more likely to experience under- than overtreatment, and therefore more objective (and ideally straightforward) ways to evaluate their fitness and ability to tolerate therapy will increasingly assist in decision-making. Post hoc analyses categorizing the fitness of trial patients in the modern treatment era globally demonstrate that even in highly selected populations, those that are recategorized as less fit or frail are consistently at higher risk of inferior outcomes and increased toxicities. Real-world data are comparatively lacking but do demonstrate that most patients with myeloma are not representative of those enrolled on clinical trials, generally more heavily burdened by comorbidities and more likely to be categorized as "less than fit." Simultaneously, the number of therapeutic options open to patients in the relapsed setting continues to grow, now including T-cell engagers and cellular therapies, with their unique toxicity profiles. The aim of this review is to summarize the available data, highlight some of the approaches possible to easily assess fitness and how results might inform treatment selection, and illustrate ways that patients' condition can be optimized rather than lead to exclusion from the more complex therapies newly available.

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Conflict of interest statement

Charlotte Pawlyn: Abbvie, Amgen, Takeda. Janssen, Celgene, Sanofi: consultancy/honoraria/travel support.

Abdullah M. Khan: Amgen: speakers bureau; Janssen: honoraria; Sanofi: speakers bureau; Secura Bio: consultancy, research funding.

Ciara L. Freeman: BMS, Seattle Genetics, Celgene, Abbvie, Sanofi, Incyte, Amgen, and Janssen: honoraria/consulting; Teva, Janssen, and Roche/Genentech: research funding.

Figures

None
Graphical abstract
Figure 1.
Figure 1.
Fitness as a dynamic but potentially modifiable risk factor.
Figure 2.
Figure 2.
Factors to consider when determining choice of therapy for RRMM. AE, adverse event; Tx, treatment.
Figure 3.
Figure 3.
Comprehensive assessment of the older adult referred for CAR-T. Created with BioRender.com. BM, bone marrow; DM, diabetes mellitus; EKG, electrocardiogram; GA, geriatric assessment; GFR, glomerular filtration rate; Hx, history; ID, infectious disease; LDH, lactate dehydrogenase; MO-OA, medical oncology for older adults; OT, occupational therapy; PET, positron emission tomography; PFT, pulmonary function tests; PS, performance status; SFLC, serum free light chains; SPEP, serum protein electrophoresis; UPEP, urine protein electrophoresis; WBMRI, whole body magnetic resonance imaging.

References

    1. SEER: Surveillance, Epidemiology, and End Results Program. Cancerstat facts: myeloma. https://seer.cancer.gov/explorer/application.html?site=89&data_type=1&gr.... Accessed 22 September 2021.
    1. Mey UJ, Leitner C, Driessen C, Cathomas R, Klingbiel D, Hitz F. Improved survival of older patients with multiple myeloma in the era of novel agents. Hematol Oncol. 2016;34(4):217-223. doi:10.1002/hon.2205. - DOI - PubMed
    1. Fiala MA, Foley NC, Zweegman S, Vij R, Wildes TM. The characteristics, treatment patterns, and outcomes of older adults aged 80 and over with multiple myeloma. J Geriatr Oncol. 2020;11(8):1274-1278. doi:10.1016/j.jgo.2020.03.005. - DOI - PMC - PubMed
    1. Mankan N, Nooka AK. Improvements in myeloma specific survival over the last two decades [abstract]. J Clin Oncol. 2022;40(16). Abstract e18503.
    1. Saad A, Mahindra A, Zhang M-J, et al.. Hematopoietic Cell Transplant Comorbidity Index is predictive of survival after autologous hematopoietic cell transplantation in multiple myeloma. Biol Blood Marrow Transplant. 2014;20(3):402-408.e1408e1. doi:10.1016/j.bbmt.2013.12.557. - DOI - PMC - PubMed