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Patient age and donor HLA matching can stratify allogeneic hematopoietic cell transplantation patients into prognostic groups
Hans Messner Allogeneic Transplant Program, Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre University Health Network, University of Toronto Toronto Ontario Canada;Department of Oncology, Juravinski Cancer Centre, Hamilton Health Sciences McMaster University Hamilton Ontario Canada.ORCID iD: 0000-0003-0579-6709
Hans Messner Allogeneic Transplant Program, Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre University Health Network, University of Toronto Toronto Ontario Canada;Department of Medical Oncology and Hematology Amala Institute of Medical Sciences Thrissur India.ORCID iD: 0000-0002-3345-1583
Stem Cell Transplant Unit, Department of Hematology Oslo University Hospital, Institute of Clinical Medicine, University of Oslo Oslo Norway.ORCID iD: 0000-0002-3037-5378
Stem Cell Transplantation and Cellular Therapies Programme The Clatterbridge Cancer Centre NHS Foundation Trust Liverpool UK;CanCell – Centre of Cancer Cell Reprogramming University of Oslo Oslo Norway.ORCID iD: 0000-0001-7267-1944
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2022 (English)In: European Journal of Haematology, ISSN 0902-4441, E-ISSN 1600-0609, Vol. 109, no 6, p. 672-679Article in journal (Refereed) Published
Abstract [en]

Background: Mixed results surround the accuracy of commonly used prognostic risk scores to predict overall survival (OS) and non-relapse mortality (NRM) in allogeneic hematopoietic stem cell transplant (allo-HCT) recipients. We hypothesize that a simple prognostic score performs better than conventional scoring systems.

Patients and methods: OS risk factors, HCT-CI, age-HCT-CI, and augmented-HCT-CI were studied in 299 patients who underwent allo-HCT for myeloid and lymphoid malignancies. A scoring system was developed based on results and validated in a different cohort of 455 patients.

Results: Two-year OS was 51% (95% confidence interval (CI) 0.45–0.56); 2-year NRM was 34% (95% CI 0.29–0.39). HCT-CI and associated scores were grouped into 0–2 and ≥3. Age and HLA mismatch status were the only risk factors to affect OS in multivariate analysis (p = 0.02 and 0.05, respectively). HCT-CI and associated scores were not informative for OS prediction. The weighted scoring system assigned 0 to 2 points for age < 50, 50–64, or ≥65, respectively, and 0–1 points for no HLA mismatch versus any mismatch (except HLA-DQ). Distinct 2-year OS (62%, 53%, and 38% [p = <0.001]) and NRM (24%, 34%, and 43% [p = 0.02]) groups were characterized. The scoring system was validated in a second independent cohort with similar results on OS and NRM (p < 0.001).

Conclusions: A simple scoring system based on recipient's age and mismatch status accurately predict OS and NRM in two distinct cohorts of allo-HCT patients. Its simplicity makes it a helpful tool to aid clinicians and patients in clinical decision-making.

Place, publisher, year, edition, pages
England: Wiley John Wiley & Sons, 2022. Vol. 109, no 6, p. 672-679
National Category
Hematology
Research subject
Immunology
Identifiers
URN: urn:nbn:se:uu:diva-490700DOI: 10.1111/ejh.13850ISI: 000852213000001OAI: oai:DiVA.org:uu-490700DiVA, id: diva2:1718824
Funder
Swedish Research Council, 2017-0355Available from: 2022-12-13 Created: 2022-12-13 Last updated: 2024-01-15Bibliographically approved

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Remberger, Mats

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Garcia‐Horton, AlejandroCyriac, Sunu L.Gedde‐Dahl, TobiasFloisand, YngvarRemberger, MatsMattsson, JonasMichelis, Fotios V.
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