BACKGROUND AND OBJECTIVES: Understanding of the clinical usage of red cells is limited despite its importance in transfusion practice improvement and planning for blood supply requirements. Previous studies have described red cell use based upon ICD and hospital discharge codes; however, such approaches are open to misclassification. This study addresses this limitation by undertaking an epidemiological analysis of red cell use using case note review. MATERIALS AND METHODS: Patient, disease and contextual factors were extracted from the medical records of a randomly selected sample of hospital patients in Northern Ireland who received a red cell transfusion during 2005 (n=1474). RESULTS: Transfused patients received a total of 3804 units (median of two units per transfusion episode). Most transfusions occurred in a medical setting (71%). Patients undergoing treatment for gastrointestinal conditions were responsible for the majority of the demand (29% of transfusion episodes; 34% of red cell units). The presence of bleeding and abnormal tests of coagulation were associated with receiving larger transfusions (≥ 3 units), while patients undergoing orthopaedic surgery and those with a haemoglobin level over 7 g/dl had the lowest risk of receiving ≥ 3 units in any one transfusion episode. CONCLUSION: The majority of red cells are now prescribed in a medical setting. With an ageing population and increasing therapeutic interventions, the demand for blood is likely to increase despite efforts to reduce usage by eliminating inappropriate transfusions through education and behaviour change. The post-transfusion target (and therefore the number of units to transfuse) for any given clinical situation as well as guidance on a 'safe' transfusion threshold should be considered in future guidelines.
BACKGROUND AND OBJECTIVES: Understanding of the clinical usage of red cells is limited despite its importance in transfusion practice improvement and planning for blood supply requirements. Previous studies have described red cell use based upon ICD and hospital discharge codes; however, such approaches are open to misclassification. This study addresses this limitation by undertaking an epidemiological analysis of red cell use using case note review. MATERIALS AND METHODS:Patient, disease and contextual factors were extracted from the medical records of a randomly selected sample of hospital patients in Northern Ireland who received a red cell transfusion during 2005 (n=1474). RESULTS: Transfused patients received a total of 3804 units (median of two units per transfusion episode). Most transfusions occurred in a medical setting (71%). Patients undergoing treatment for gastrointestinal conditions were responsible for the majority of the demand (29% of transfusion episodes; 34% of red cell units). The presence of bleeding and abnormal tests of coagulation were associated with receiving larger transfusions (≥ 3 units), while patients undergoing orthopaedic surgery and those with a haemoglobin level over 7 g/dl had the lowest risk of receiving ≥ 3 units in any one transfusion episode. CONCLUSION: The majority of red cells are now prescribed in a medical setting. With an ageing population and increasing therapeutic interventions, the demand for blood is likely to increase despite efforts to reduce usage by eliminating inappropriate transfusions through education and behaviour change. The post-transfusion target (and therefore the number of units to transfuse) for any given clinical situation as well as guidance on a 'safe' transfusion threshold should be considered in future guidelines.
Authors: R Georg Geißler; Dominik Franz; Hubert Buddendick; Petra Krakowitzky; Holger Bunzemeier; Norbert Roeder; Hugo Van Aken; Torsten Kessler; Wolfgang Berdel; Walter Sibrowski; Peter Schlenke Journal: Transfus Med Hemother Date: 2012-03-22 Impact factor: 3.747
Authors: Raoul Georg Geissler; Heinrich Rotering; Hubert Buddendick; Dominik Franz; Holger Bunzemeier; Norbert Roeder; Robert Kwiecien; Walter Sibrowski; Hans H Scheld; Sven Martens; Peter Schlenke Journal: Transfus Med Hemother Date: 2015-03-20 Impact factor: 3.747
Authors: Hermann Eichler; Anna Katharina Feyer; Kerstin Weitmann; Wolfgang Hoffmann; Olaf Henseler; Andreas Opitz; Alexander Patek; Detlef Nikolaus Hans; Linda Schönborn; Andreas Greinacher Journal: Transfus Med Hemother Date: 2020-12-23 Impact factor: 3.747
Authors: Loan R van Hoeven; Martine C de Bruijne; Peter F Kemper; Maria M W Koopman; Jan M M Rondeel; Anja Leyte; Hendrik Koffijberg; Mart P Janssen; Kit C B Roes Journal: BMC Med Inform Decis Mak Date: 2017-07-14 Impact factor: 2.796