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Optimized EBMT transplant-specific risk score in myelodysplastic syndromes after allogeneic stem-cell transplantation.
Gagelmann, Nico; Eikema, Diderik-Jan; Stelljes, Matthias; Beelen, Dietrich; de Wreede, Liesbeth; Mufti, Ghulam; Knelange, Nina Simone; Niederwieser, Dietger; Friis, Lone S; Ehninger, Gerhard; Nagler, Arnon; Yakoub-Agha, Ibrahim; Meijer, Ellen; Ljungman, Per; Maertens, Johan; Kanz, Lothar; Lopez-Corral, Lucia; Brecht, Arne; Craddock, Charles; Finke, Jürgen; Cornelissen, Jan J; Bernasconi, Paolo; Chevallier, Patrice; Sierra, Jorge; Robin, Marie; Kröger, Nicolaus.
Affiliation
  • Gagelmann N; University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Eikema DJ; EBMT Statistics, Leiden, the Netherlands.
  • Stelljes M; University of Münster, Germany.
  • Beelen D; Department of Bone Marrow Transplantation, West German Cancer Center, University Hospital of Essen, Germany.
  • de Wreede L; EBMT Statistics, Leiden, the Netherlands.
  • Mufti G; GKT School of Medicine, London, UK.
  • Knelange NS; EBMT Data Office, Leiden, the Netherlands.
  • Niederwieser D; University Hospital Leipzig, Germany.
  • Friis LS; Rigshospitalet, Copenhagen, Denmark.
  • Ehninger G; Universitätsklinikum Dresden, Germany.
  • Nagler A; Chaim Sheba Medical Center, Tel-Hashomer, Israel.
  • Yakoub-Agha I; CHU de Lille, LIRIC, INSERM U995, Université Lille2, France.
  • Meijer E; VU University Medical Center, Amsterdam, the Netherlands.
  • Ljungman P; Karolinska University Hospital and Karolinska Institutet, Stockholm, Sweden.
  • Maertens J; University Hospital Gasthuisberg, Leuven, Belgium.
  • Kanz L; Universität Tübingen, Germany.
  • Lopez-Corral L; Hospital Clínico, Salamanca, Spain.
  • Brecht A; Deutsche Klinik für Diagnostik, Wiesbaden, Germany.
  • Craddock C; Centre for Clinical Haematology, Birmingham, UK.
  • Finke J; University of Freiburg, Germany.
  • Cornelissen JJ; Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Bernasconi P; Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
  • Chevallier P; CHU Nantes, France.
  • Sierra J; Hospital Santa Creu i Sant Pau, Jose Carreras Leukemia Research Institute, Barcelona, Spain.
  • Robin M; Hopital St. Louis, Paris, France.
  • Kröger N; University Medical Center Hamburg-Eppendorf, Hamburg, Germany nkroeger@uke.uni-hamburg.de.
Haematologica ; 104(5): 929-936, 2019 05.
Article in En | MEDLINE | ID: mdl-30655377
ABSTRACT
The aim of this study was to develop and validate a clinical and transplant-specific prognostic score using data from a large cohort of patients with myelodysplastic syndromes reported to the European Society for Blood and Marrow Transplantation registry. A Cox model was fitted to detect clinical and transplant-related variables prognostic of outcome. Then, cross-validation was performed to evaluate the validity and consistency of the model. Seven independent risk factors for survival were identified age ≥50 years, matched unrelated donor, Karnofsky Performance Status <90%, very poor cytogenetics or monosomal karyotype, positive cytomegalovirus status of the recipient, blood blasts >1%, and platelet count ≤50 × 109/L prior to transplantation. Incorporating these factors into a four-level risk score yielded hazard ratios for death, with low-risk (score of 0-1) as reference, of 2.02 (95% CI 1.41-2.90) for the intermediate-risk group (score of 2-3), 3.49 (95% CI 2.45-4.97) for the high-risk group (score of 4-5), and 5.90 (95% CI 4.01-8.67) for the very high-risk group (score of >5). The score was predictive of survival, relapse-free survival, relapse, and non-relapse mortality (P<0.001, respectively). Cross-validation yielded significant and reproducible improvement in prognostic ability with C-statistics being 0.609 (95% CI 0.588-0.629) versus 0.555 for the Gruppo Italiano Trapianto di Midollo Osseo registry and 0.579 for the Center for Blood and Marrow Transplant Research registry. Prediction was even further augmented after applying a nomogram using age and platelets as continuous variables showing C-statistics of 0.628 (95% CI 0.616-0.637). In conclusion, compared to existing prognostic systems, this proposed transplant-specific risk score offers improved performance with respect to post-transplant risk stratification in myelodysplastic syndromes.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Myelodysplastic Syndromes / Models, Statistical / Risk Assessment / Hematopoietic Stem Cell Transplantation / Nomograms Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Haematologica Year: 2019 Type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Myelodysplastic Syndromes / Models, Statistical / Risk Assessment / Hematopoietic Stem Cell Transplantation / Nomograms Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Haematologica Year: 2019 Type: Article Affiliation country: Germany