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Observational Study
. 2025 Jul 8;9(13):3268-3280.
doi: 10.1182/bloodadvances.2025015793.

Novel composite health assessment risk model for older allogeneic transplant recipients: BMT-CTN 1704

Affiliations
Observational Study

Novel composite health assessment risk model for older allogeneic transplant recipients: BMT-CTN 1704

Mohamed L Sorror et al. Blood Adv. .

Abstract

Allogeneic hematopoietic cell transplantation (allo-HCT) is potentially curative for older adults with hematologic malignancies. Concerns on nonrelapse mortality (NRM) in older adults limit allo-HCT utilization. We executed a prospective, observational study BMT-CTN 1704 (Blood and Marrow Transplant Clinical Trials Network) enrolling allo-HCT recipients aged ≥60 years from 49 centers in the United States. We analyzed associations between 13 measurements of older adult health and NRM within 1 year to construct a comprehensive health assessment risk model (primary-CHARM) using multivariate Fine-Gray model and grouped penalized variable selection. Two machine learning (ML) models (Cox and pseudo-value boosting) were also explored. Models' performances were compared using area under the curve (AUC), with bootstrap and cross-validation sampling to correct for optimism, decision curve analysis (DCA), calibration, and Brier scores. Among 1105 patients with median age of 67 (range, 60-82) years who received allo-HCT, NRM was 14.4% and overall survival (OS) 71.7% at 1 year. Factors statistically selected for inclusion in primary-CHARM were higher comorbidity burden, lower albumin, higher C-reactive protein, older age, higher weight-loss percentage, lower patient-reported performance score, and cognitive impairment. Primary-CHARM scores were independently associated with higher NRM (hazard ratio [HR], 2.72; P < .0001) and worse OS (HR, 2.09; P < .0001). Bootstrap bias-corrected AUC for primary-CHARM was 0.591. Comparing primary-CHARM with HCT-comorbidity index and 2 ML-CHARM models, calibration, Brier score, and DCA analysis favored primary-CHARM. Primary-CHARM, with mostly simple and readily available parameters, risk stratifies older adults for allo-HCT. Adopting primary-CHARM in practice may promote broader use of HCT by quantifying risk and enhance the design of strategies to improve outcomes. This trial was registered at www.ClinicalTrials.gov as #NCT03992352.

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Conflict of interest statement

Conflict-of-interest disclosure: M.L.S. reports receiving consultancy and receiving honoraria from JAZZ Pharmaceuticals for giving educational talks and receiving research funding from BlueNote. W.W. reports receiving research support from Pfizer and Genentech; having equity and providing consulting to Koneksa Health; and providing consulting for Teladoc Health, Quantum Health, and American Society of Hematology Research Collaborative. A.M. reports receiving grant support from Novartis. P.H.I. reports receiving research support from Janssen. V.R.B. reports participating in the Safety Monitoring Committee for Protagonist; serving as an Associate Editor for the journal, Current Problems in Cancer; serving as a contributor for BMJ Best Practice; providing consultancy for Imugene, Sanofi, and Taiho; receiving research support from MEI Pharma, Actinium Pharmaceutical, Sanofi U.S. Services, AbbVie, Pfizer, Incyte, Jazz, and National Marrow Donor Program; and receiving drug support (institutional) from Chimerix for a trial. R.O. reports receiving research support from Cellectis and providing consulting for Servier and Riger. J.M. reports receiving research support from Gilead, Atara, CRISPR, Precision Biosciences, Scripps Research Institute, VOR Bio, and Affimed. S.A.W. reports serving on the speaker bureau for Sobi. A.S.A. reports having advisory role for AstraZeneca and Magenta Therapeutics and providing consulting to AbbVie. The remaining authors declare no competing financial interests.

Figures

None
Graphical abstract
Figure 1.
Figure 1.
DCA plot of net benefit vs threshold probability for NRM. All plots are bias-corrected using cross-validation to generate predicted probabilities. This figure reveals that CHARM exhibited higher net benefit compared with a “treat all” or “treat none” and that benefit was higher than that per the HCT-CI approach with a wide range of threshold probability for NRM.
Figure 2.
Figure 2.
CONSORT diagram describing study flow.
Figure 3.
Figure 3.
Primary-CHARM tertiles stratifying for NRM.
Figure 4.
Figure 4.
Stratification of outcomes per primary CHARM tertiles. Primary-CHARM tertiles stratifying for (A) overall survival and (B) relapse.

References

    1. Howlader N, Noone AM, Krapcho M, et al. SEER cancer statistics review, 1975-2013. https://seer.cancer.gov/csr/1975_2013/ Accessed 1 January 2025.
    1. Thein MS, Ershler WB, Jemal A, Yates JW, Baer MR. Outcome of older patients with acute myeloid leukemia: an analysis of SEER data over 3 decades. Cancer. 2013;119(15):2720–2727. - PMC - PubMed
    1. Cornelissen JJ, van Putten WL, Verdonck LF, et al. Results of a HOVON/SAKK donor versus no-donor analysis of myeloablative HLA-identical sibling stem cell transplantation in first remission acute myeloid leukemia in young and middle-aged adults: benefits for whom? Blood. 2007;109(9):3658–3666. - PubMed
    1. McDonald GB, Sandmaier BM, Mielcarek M, et al. Survival, non-relapse mortality, and relapse-related mortality after allogeneic hematopoietic cell transplantation: comparing 2003-2007 versus 2013-2017 cohorts. Ann Intern Med. 2020;172(4):229–239. - PMC - PubMed
    1. Medeiros BC, Satram-Hoang S, Hurst D, Hoang KQ, Momin F, Reyes C. Big data analysis of treatment patterns and outcomes among elderly acute myeloid leukemia patients in the United States. Ann Hematol. 2015;94(7):1127–1138. - PMC - PubMed

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