A holistic prognostic model for leukemia-free survival after allogeneic transplantation in acute leukemia
Allogeneic hematopoietic cell transplantation (allo-HCT) can cure acute leukemia, but relapse and non-relapse mortality restrict its success. Existing models focus on single prognostic areas and are not designed to predict leukemia-free survival (LFS), the outcome that best reflects allo-HCT's curative intent. In this large retrospective cohort of allografted AL patients (N = 24,317), we combined key pre-transplant patient, disease, and treatment factors into a practical holistic H-score to predict post-allo-HCT LFS. Component weights were derived from Cox-regression hazard ratios in a training cohort (N = 19,029). The model was validated in a geographically split testing cohort (N = 4760), with outcomes assessed using Kaplan-Meier analysis and multivariate Cox models. In the overall cohort (N = 24,317), 2-year overall survival and LFS were 64% and 56%, respectively. The H-score stratified patients into four risk groups, with 2-year LFS ranging from 66.2% in the low-risk group to 32.0% in the very high-risk group. The H-score was the strongest independent predictor of LFS (p < 0.0001), outperforming individual indices and offering more refined risk stratification. The H-score was also an independent predictor of overall survival, relapse, and non-relapse mortality. While individual prediction is limited, the H-score aids patient counseling and provides a useful baseline for comparing new transplant treatments.
Authors
- Nicolaus Martin Kröger (ORCID: https://orcid.org/0000-0001-5103-9966)
- Jakob Robert Passweg (ORCID: https://orcid.org/0000-0001-7092-3351)
- Matthias Stelljes (ORCID: https://orcid.org/0000-0002-9331-5145)
- Alexandros Spyridonidis (ORCID: https://orcid.org/0000-0003-3097-2532)
- Mohamad Mohty (ORCID: https://orcid.org/0000-0002-7264-808X)
- Didier Blaise (ORCID: https://orcid.org/0000-0002-5684-9447)
- Fabio Ciceri (ORCID: https://orcid.org/0000-0003-0873-0123)
- Jurjen Versluis (ORCID: https://orcid.org/0000-0003-2372-1663)
- Roni Shouval (ORCID: https://orcid.org/0000-0001-9827-8032)
- Ibrahim Yakoub‐Agha (ORCID: https://orcid.org/0000-0003-4524-8782)
- Igor Wolfgang Blau (ORCID: https://orcid.org/0000-0003-1416-819X)
- Jacques‐Emmanuel Galimard (ORCID: https://orcid.org/0000-0001-9102-4427)
- R Latour
- Annalisa Ruggeri (ORCID: https://orcid.org/0000-0002-7261-2765)
- Robert Zeiser (ORCID: https://orcid.org/0000-0001-6565-3393)
- Hélène Labussière‐Wallet (ORCID: https://orcid.org/0000-0003-0543-9592)
- Bipin N. Savani (ORCID: https://orcid.org/0000-0002-3304-9965)
- Édouard Forcade (ORCID: https://orcid.org/0000-0002-8873-2868)
- Mohamed Houhou
- Matthias Eder (ORCID: https://orcid.org/0009-0000-3362-5814)
- Francesca Kinsella (ORCID: https://orcid.org/0000-0002-6022-2567)
- Allain Thibeault Ferhat
- Tobias Gedde-Dahl
- Thomas Schroeder
- Anne Huynh
Institutions
- Oslo University Hospital (NO)
- Memorial Sloan Kettering Cancer Center (US)
- Universität Hamburg (DE)
- University of Freiburg (DE)
- University of Patras (GR)
- Cornell University (US)
- Erasmus MC (NL)
- University Hospital of Basel (CH)
- Centre Hospitalier Universitaire de Lille (FR)
- Centre Hospitalier Universitaire de Toulouse (FR)
- Medizinische Hochschule Hannover (DE)
- Sorbonne Université (FR)
- Hôpital Saint-Antoine (FR)
- University Hospital Münster (DE)
- University Medical Center Hamburg-Eppendorf (DE)
- Deutsche Gesellschaft für Hämatologie und Medizinische Onkologie (DE)
- Hôpital Lyon Sud (FR)
- Essen University Hospital (DE)
- Hôpital Cardiologique du Haut-Lévêque (FR)
- IRCCS Ospedale San Raffaele (IT)
- Hôpital Saint-Louis (FR)
- Cellular Therapeutics (United Kingdom) (GB)
- Institut Paoli-Calmettes (FR)
- Vanderbilt University Medical Center (US)
- Erasmus University Rotterdam (NL)
Publication Details
- Journal
- Bone Marrow Transplantation
- Published
- 2026-07-02
- DOI
- https://doi.org/10.1038/s41409-026-02950-w
- Primary Topic
- Hematopoietic Stem Cell Transplantation
- Type
- article
- Field-Weighted Citation Impact
- 0.00