Time-dependent effects of clinical predictors in unrelated hematopoietic stem cell transplantation
Daniel Fuerst,
Carlheinz Mueller,
Dietrich W Beelen,
Christine Neuchel,
Chrysanthi Tsamadou,
Hubert Schrezenmeier,
Joannis Mytilineos
Affiliations
Daniel Fuerst
Institute of Clinical Transfusion Medicine and Immunogenetics Ulm, German, Red Cross Blood Transfusion Service, Baden-Wuerttemberg – Hessen, Ulm, Germany;Institute of Transfusion Medicine, University of Ulm, Ulm, Germany
Carlheinz Mueller
DRST – German Registry for Stem Cell Transplantation, Ulm Office, Ulm, Germany;Zentrales Knochenmarkspender-Register Deutschland (ZKRD), Ulm, Germany
Dietrich W Beelen
DRST – German Registry for Stem Cell Transplantation, Essen Office, Essen, Germany;Department of Bone Marrow Transplantation, University Hospital, University of Duisburg-Essen, Essen, Germany
Christine Neuchel
Institute of Clinical Transfusion Medicine and Immunogenetics Ulm, German, Red Cross Blood Transfusion Service, Baden-Wuerttemberg – Hessen, Ulm, Germany;Institute of Transfusion Medicine, University of Ulm, Ulm, Germany
Chrysanthi Tsamadou
Institute of Clinical Transfusion Medicine and Immunogenetics Ulm, German, Red Cross Blood Transfusion Service, Baden-Wuerttemberg – Hessen, Ulm, Germany;Institute of Transfusion Medicine, University of Ulm, Ulm, Germany
Hubert Schrezenmeier
Institute of Clinical Transfusion Medicine and Immunogenetics Ulm, German, Red Cross Blood Transfusion Service, Baden-Wuerttemberg – Hessen, Ulm, Germany;Institute of Transfusion Medicine, University of Ulm, Ulm, Germany
Joannis Mytilineos
Institute of Clinical Transfusion Medicine and Immunogenetics Ulm, German, Red Cross Blood Transfusion Service, Baden-Wuerttemberg – Hessen, Ulm, Germany;Institute of Transfusion Medicine, University of Ulm, Ulm, Germany;DRST – German Registry for Stem Cell Transplantation, Ulm Office, Ulm, Germany
Hematopoietic stem cell transplantation is a multifactorial process. Some of the predictors exhibit time-dependent effects. We present a systematic analysis and description of selected clinical predictors influencing outcome in a time-dependent manner based on an analysis of registry data from the German Registry for Stem Cell Transplantation. A total of 14,951 patients with acute myeloid leukemia, acute lymphocytic leukemia, myelodysplastic syndrome and non-Hodgkin lymphoma transplanted with peripheral blood stem cells or bone marrow grafts were included. Multivariate Cox regression models were tested for time-dependent effects within each diagnosis group. Predictors not satisfying the proportional hazards assumption were modeled in a time-dependent manner, extending the Cox regression models. Similar patterns occurred in all diagnosis groups. Patients with a poor Karnofsky performance score (
