Matthew S Karafin1, Roberta Bruhn2, Matt Westlake3,4, Marian T Sullivan3,4, Walter Bialkowski1, Gustaf Edgren5,6, Nareg H Roubinian2, Ronald G Hauser7, Daryl J Kor8, Debra Fleischmann3,4, Jerome L Gottschall1, Edward L Murphy2, Darrell J Triulzi9. 1. BloodCenter of Wisconsin (BCW), Milwaukee, Wisconsin. 2. Blood Systems Research Institute, University of California San Francisco, San Francisco, California. 3. RTI International, Rockville, Maryland. 4. RTI International, Research Triangle, North Carolina. 5. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. 6. Hematology Center, Karolinska University Hospital, Stockholm, Sweden. 7. Department of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut. 8. Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota. 9. The Institute for Transfusion Medicine (ITXM) and University of Pittsburgh, Pittsburgh, Pennsylvania.
Abstract
BACKGROUND: Blood transfusion is one of the most common medical procedures during hospitalization in the United States. To understand the benefits of transfusion while mitigating potential risks, a multicenter database containing detailed information on transfusion incidence and recipient outcomes would facilitate research. STUDY DESIGN AND METHODS: The Recipient Epidemiology and Donor Evaluation Study-III (REDS-III) program has developed a comprehensive transfusion recipient database utilizing data from hospital electronic health records at 12 participating hospitals in four geographic regions. Inpatient and outpatient data on transfusion recipients from January 1, 2013 to December 31, 2014 included patient age, sex, ethnicity, primary diagnosis, type of blood product provided, issue location, pretransfusion and post-transfusion hemoglobin (Hgb), and hospital outcomes. Transfusion incidence per encounter was calculated by blood product and various patient characteristics. RESULTS: During the 2-year study period, 80,362 (12.5%) inpatient encounters involved transfusion. Among inpatients, the most commonly transfused blood products were red blood cells (RBCs; 10.9% of encounters), followed by platelets (3.2%) and plasma (2.9%). Among patients who received transfusions, the median number of RBC units was one, the pretransfusion Hgb level was 7.6 g/dL, and the Hgb increment per unit was 1.4 g/dL. Encounter mortality increased with patient age, the number of units transfused, and the use of platelet or plasma products. The most commonly reported transfusion reaction was febrile nonhemolytic. CONCLUSION: The database contains comprehensive data regarding transfusion use and patient outcomes. The current report describes an evaluation of the first 2 years of a planned, 4-year, linked blood donor-component-recipient database, which represents a critical new resource for transfusion medicine researchers.
BACKGROUND: Blood transfusion is one of the most common medical procedures during hospitalization in the United States. To understand the benefits of transfusion while mitigating potential risks, a multicenter database containing detailed information on transfusion incidence and recipient outcomes would facilitate research. STUDY DESIGN AND METHODS: The Recipient Epidemiology and Donor Evaluation Study-III (REDS-III) program has developed a comprehensive transfusion recipient database utilizing data from hospital electronic health records at 12 participating hospitals in four geographic regions. Inpatient and outpatient data on transfusion recipients from January 1, 2013 to December 31, 2014 included patient age, sex, ethnicity, primary diagnosis, type of blood product provided, issue location, pretransfusion and post-transfusion hemoglobin (Hgb), and hospital outcomes. Transfusion incidence per encounter was calculated by blood product and various patient characteristics. RESULTS: During the 2-year study period, 80,362 (12.5%) inpatient encounters involved transfusion. Among inpatients, the most commonly transfused blood products were red blood cells (RBCs; 10.9% of encounters), followed by platelets (3.2%) and plasma (2.9%). Among patients who received transfusions, the median number of RBC units was one, the pretransfusion Hgb level was 7.6 g/dL, and the Hgb increment per unit was 1.4 g/dL. Encounter mortality increased with patient age, the number of units transfused, and the use of platelet or plasma products. The most commonly reported transfusion reaction was febrile nonhemolytic. CONCLUSION: The database contains comprehensive data regarding transfusion use and patient outcomes. The current report describes an evaluation of the first 2 years of a planned, 4-year, linked blood donor-component-recipient database, which represents a critical new resource for transfusion medicine researchers.
Authors: Jeffrey L Carson; Michael L Terrin; Helaine Noveck; David W Sanders; Bernard R Chaitman; George G Rhoads; George Nemo; Karen Dragert; Lauren Beaupre; Kevin Hildebrand; William Macaulay; Courtland Lewis; Donald Richard Cook; Gwendolyn Dobbin; Khwaja J Zakriya; Fred S Apple; Rebecca A Horney; Jay Magaziner Journal: N Engl J Med Date: 2011-12-14 Impact factor: 91.245
Authors: Steven M Frank; Linda M S Resar; James A Rothschild; Elizabeth A Dackiw; Will J Savage; Paul M Ness Journal: Transfusion Date: 2013-04-29 Impact factor: 3.157
Authors: Alexander B Pine; Eun-Ju Lee; Mikkael Sekeres; David P Steensma; Daniel Zelterman; Thomas Prebet; Amy DeZern; Rami Komrokji; Mark Litzow; Selina Luger; Richard Stone; Harry P Erba; Guillermo Garcia-Manero; Alfred I Lee; Nikolai A Podoltsev; Lisa Barbarotta; Stephanie Kasberg; Jeanne E Hendrickson; Steven D Gore; Amer M Zeidan Journal: Transfusion Date: 2016-11-22 Impact factor: 3.157
Authors: Nareg H Roubinian; Gabriel J Escobar; Vincent Liu; Bix E Swain; Marla N Gardner; Patricia Kipnis; Darrell J Triulzi; Jerome L Gottschall; Yan Wu; Jeffrey L Carson; Steven H Kleinman; Edward L Murphy Journal: Transfusion Date: 2014-08-18 Impact factor: 3.157
Authors: Märit Halmin; Klaus Rostgaard; Brian K Lee; Agneta Wikman; Rut Norda; Kaspar René Nielsen; Ole B Pedersen; Jacob Holmqvist; Henrik Hjalgrim; Gustaf Edgren Journal: Ann Intern Med Date: 2016-12-20 Impact factor: 25.391
Authors: Michaël Chassé; Lauralyn McIntyre; Alan Tinmouth; Jason Acker; Shane W English; Greg Knoll; Alan Forster; Nadine Shehata; Kumanan Wilson; Carl van Walraven; Robin Ducharme; Dean A Fergusson Journal: BMJ Open Date: 2015-01-19 Impact factor: 2.692
Authors: Nareg H Roubinian; Edward L Murphy; Bix E Swain; Marla N Gardner; Vincent Liu; Gabriel J Escobar Journal: BMC Health Serv Res Date: 2014-05-10 Impact factor: 2.655
Authors: Marion C Lanteri; Tamir Kanias; Sheila Keating; Mars Stone; Yuelong Guo; Grier P Page; Donald J Brambilla; Stacy M Endres-Dighe; Alan E Mast; Walter Bialkowski; Pam D'Andrea; Ritchard G Cable; Bryan R Spencer; Darrell J Triulzi; Edward L Murphy; Steven Kleinman; Mark T Gladwin; Michael P Busch Journal: Transfusion Date: 2018-11-08 Impact factor: 3.157
Authors: Tamir Kanias; Mars Stone; Grier P Page; Yuelong Guo; Stacy M Endres-Dighe; Marion C Lanteri; Bryan R Spencer; Ritchard G Cable; Darrell J Triulzi; Joseph E Kiss; Edward L Murphy; Steve Kleinman; Mark T Gladwin; Michael P Busch; Alan E Mast Journal: Transfusion Date: 2018-11-26 Impact factor: 3.157
Authors: Elizabeth St Lezin; Matthew S Karafin; Roberta Bruhn; Dhuly Chowdhury; Lirong Qu; Walter Bialkowski; Scott Merenda; Pamela D'Andrea; Anne-Lyne McCalla; Lisa Anderson; Sheila M Keating; Mars Stone; Edward L Snyder; Donald Brambilla; Edward L Murphy; Philip J Norris; Joan F Hilton; Bryan R Spencer; Steven Kleinman; Jeffrey L Carson Journal: Transfusion Date: 2019-03-18 Impact factor: 3.157
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: Nareg H Roubinian; Matt Westlake; Elizabeth M St Lezin; Gustaf Edgren; Don J Brambilla; Catherine Lee; Roberta Bruhn; Ritchard G Cable; Darrell J Triulzi; Simone A Glynn; Steve Kleinman; Edward L Murphy Journal: Transfusion Date: 2019-10-11 Impact factor: 3.157
Authors: Anna B F Carneiro-Proietti; Shannon Kelly; Carolina Miranda Teixeira; Ester C Sabino; Cecilia S Alencar; Ligia Capuani; Tassila P Salomon Silva; Aderson Araujo; Paula Loureiro; Cláudia Máximo; Clarisse Lobo; Miriam V Flor-Park; Daniela O W Rodrigues; Rosimere A Mota; Thelma T Gonçalez; Carolyn Hoppe; João E Ferreira; Mina Ozahata; Grier P Page; Yuelong Guo; Liliana R Preiss; Donald Brambilla; Michael P Busch; Brian Custer Journal: Br J Haematol Date: 2018-07-19 Impact factor: 6.998
Authors: Matthew S Karafin; Matt Westlake; Ronald G Hauser; Christopher A Tormey; Philip J Norris; Nareg H Roubinian; Yanyun Wu; Darrell J Triulzi; Steve Kleinman; Jeanne E Hendrickson Journal: Br J Haematol Date: 2018-04-19 Impact factor: 6.998