Gustaf Edgren1,2, Klaus Rostgaard3, Senthil K Vasan1, Agneta Wikman4, Rut Norda5, Ole Birger Pedersen6, Christian Erikstrup7, Kaspar René Nielsen8, Kjell Titlestad9, Henrik Ullum10, Mads Melbye3,11,12, Olof Nyrén1, Henrik Hjalgrim3. 1. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. 2. Hematology Centre, Karolinska University Hospital, Stockholm, Sweden. 3. Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark. 4. Department of Clinical Immunology and Transfusion Medicine, Karolinska University Hospital, Stockholm, Sweden. 5. Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden. 6. Department of Clinical Immunology, Naestved Hospital, Naestved, Denmark. 7. Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark. 8. Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark. 9. Department of Clinical Immunology, Odense University Hospital, Odense, Denmark. 10. Department of Clinical Immunology, the Blood Bank, Rigshospitalet, University Hospital of Copenhagen, Copenhagen, Denmark. 11. Department of Clinical Medicine, Copenhagen University, Copenhagen, Denmark. 12. Department of Medicine, Stanford School of Medicine, Stanford, California.
Abstract
BACKGROUND: Risks of transfusion-transmitted disease are currently at a record low in the developed world. Still, available methods for blood surveillance might not be sufficient to detect transmission of diseases with unknown etiologies or with very long incubation periods. STUDY DESIGN AND METHODS: We have previously created the anonymized Scandinavian Donations and Transfusions (SCANDAT) database, containing data on blood donors, blood transfusions, and transfused patients, with complete follow-up of donors and patients for a range of health outcomes. Here we describe the re-creation of SCANDAT with updated, identifiable data. We collected computerized data on blood donations and transfusions from blood banks covering all of Sweden and Denmark. After data cleaning, two structurally identical databases were created and the entire database was linked with nationwide health outcomes registers to attain complete follow-up for up to 47 years regarding hospital care, cancer, and death. RESULTS: After removal of erroneous records, the database contained 25,523,334 donation records, 21,318,794 transfusion records, and 3,692,653 unique persons with valid identification, presently followed over 40 million person-years, with possibility for future extension. Data quality is generally high with 96% of all transfusions being traceable to their respective donation(s) and a very high (>97%) concordance with official statistics on annual number of blood donations and transfusions. CONCLUSIONS: It is possible to create a binational, nationwide database with almost 50 years of follow-up of blood donors and transfused patients for a range of health outcomes. We aim to use this database for further studies of donor health, transfusion-associated risks, and transfusion-transmitted disease.
BACKGROUND: Risks of transfusion-transmitted disease are currently at a record low in the developed world. Still, available methods for blood surveillance might not be sufficient to detect transmission of diseases with unknown etiologies or with very long incubation periods. STUDY DESIGN AND METHODS: We have previously created the anonymized Scandinavian Donations and Transfusions (SCANDAT) database, containing data on blood donors, blood transfusions, and transfused patients, with complete follow-up of donors and patients for a range of health outcomes. Here we describe the re-creation of SCANDAT with updated, identifiable data. We collected computerized data on blood donations and transfusions from blood banks covering all of Sweden and Denmark. After data cleaning, two structurally identical databases were created and the entire database was linked with nationwide health outcomes registers to attain complete follow-up for up to 47 years regarding hospital care, cancer, and death. RESULTS: After removal of erroneous records, the database contained 25,523,334 donation records, 21,318,794 transfusion records, and 3,692,653 unique persons with valid identification, presently followed over 40 million person-years, with possibility for future extension. Data quality is generally high with 96% of all transfusions being traceable to their respective donation(s) and a very high (>97%) concordance with official statistics on annual number of blood donations and transfusions. CONCLUSIONS: It is possible to create a binational, nationwide database with almost 50 years of follow-up of blood donors and transfused patients for a range of health outcomes. We aim to use this database for further studies of donor health, transfusion-associated risks, and transfusion-transmitted disease.
Authors: G Edgren; H Hjalgrim; K Rostgaard; V Dahl; K Titlestad; C Erikstrup; A Wikman; R Norda; A Majeed Journal: J Intern Med Date: 2018-04-25 Impact factor: 8.989
Authors: Malin Hultcrantz; Anton Modlitba; Senthil K Vasan; Arvid Sjölander; Klaus Rostgaard; Ola Landgren; Henrik Hjalgrim; Henrik Ullum; Christian Erikstrup; Sigurdur Y Kristinsson; Gustaf Edgren Journal: Thromb Res Date: 2019-12-20 Impact factor: 3.944
Authors: Gustaf Edgren; Edward L Murphy; Don J Brambilla; Matt Westlake; Klaus Rostgaard; Catherine Lee; Ritchard G Cable; Darrell Triulzi; Roberta Bruhn; Elizabeth M St Lezin; Christian Erikstrup; Henrik Ullum; Simone A Glynn; Steve Kleinman; Henrik Hjalgrim; Nareg H Roubinian Journal: JAMA Date: 2019-06-11 Impact factor: 56.272
Authors: Katrine Grau; Senthil K Vasan; Klaus Rostgaard; Walter Bialkowski; Rut Norda; Henrik Hjalgrim; Gustaf Edgren Journal: Transfusion Date: 2016-11-18 Impact factor: 3.157
Authors: Nareg H Roubinian; Colleen Plimier; Jennifer P Woo; Catherine Lee; Roberta Bruhn; Vincent X Liu; Gabriel J Escobar; Steven H Kleinman; Darrell J Triulzi; Edward L Murphy; Michael P Busch Journal: Blood Date: 2019-07-26 Impact factor: 22.113
Authors: Gustaf Edgren; Henrik Ullum; Klaus Rostgaard; Christian Erikstrup; Ulrik Sartipy; Martin J Holzmann; Olof Nyrén; Henrik Hjalgrim Journal: JAMA Intern Med Date: 2017-06-01 Impact factor: 21.873
Authors: Senthil K Vasan; Klaus Rostgaard; Henrik Ullum; Mads Melbye; Henrik Hjalgrim; Gustaf Edgren Journal: PLoS One Date: 2015-06-04 Impact factor: 3.240
Authors: Loan R van Hoeven; Babette H Hooftman; Mart P Janssen; Martine C de Bruijne; Karen M K de Vooght; Peter Kemper; Maria M W Koopman Journal: BMJ Open Date: 2016-08-04 Impact factor: 2.692