Literature DB >> 23621848

A novel method of data analysis for utilization of red blood cell transfusion.

Steven M Frank1, Linda M S Resar, James A Rothschild, Elizabeth A Dackiw, Will J Savage, Paul M Ness.   

Abstract

BACKGROUND: A necessary component of an effective blood management program is the accurate and comprehensive collection and analysis of blood utilization data. This study describes innovative methods for analyzing and presenting data for red blood cell (RBC) utilization that compare hemoglobin (Hb) transfusion triggers and targets to those representing the restrictive transfusion strategy advocated by previous large outcome studies. STUDY DESIGN AND METHODS: From one institution, blood utilization data for 134,456 patients, 23,559 of whom were transfused with RBCs, were analyzed. Hb triggers and targets for transfused patients were plotted and graphically compared to the trigger and target ranges from previously published randomized clinical trials.
RESULTS: Nine hospital services with the highest transfusion rates were selected for analysis. The service with the highest Hb trigger and target was further analyzed by comparing transfusion thresholds for individual providers. Differences among services and among individual providers for mean Hb transfusion triggers and targets were significant (up to 1.5 g/dL, p < 0.0001). The variation between the 10th and 90th percentiles for both trigger and target was also significant (up to 3 g/dL, p < 0.0001). If a restrictive transfusion strategy were implemented, the need for transfusion would be reduced or eliminated in 10% to 50% of patients, depending on the service and the individual provider.
CONCLUSION: By using these methods for analyzing and presenting RBC utilization data, opportunities can be identified for blood conservation, and educational efforts can be directed toward the appropriate individual hospital services and providers.
© 2013 American Association of Blood Banks.

Entities:  

Mesh:

Year:  2013        PMID: 23621848     DOI: 10.1111/trf.12227

Source DB:  PubMed          Journal:  Transfusion        ISSN: 0041-1132            Impact factor:   3.157


  16 in total

1.  Intraoperative Transfusion Targets: Avoiding the Extremes.

Authors:  Nadia B Hensley; Steven M Frank; Micah T Prochaska
Journal:  Anesth Analg       Date:  2019-09       Impact factor: 5.108

2.  Odds of transfusion for older adults compared to younger adults undergoing surgery.

Authors:  Charles H Brown; William J Savage; Courtney G Masear; Jeremy D Walston; Jing Tian; Elizabeth Colantuoni; Charles W Hogue; Steven M Frank
Journal:  Anesth Analg       Date:  2014-06       Impact factor: 5.108

3.  Discharge Hemoglobin Level and 30-Day Readmission Rates After Coronary Artery Bypass Surgery.

Authors:  Brian C Cho; Vincent M DeMario; Michael C Grant; Nadia B Hensley; Charles H Brown; Sachidanand Hebbar; Kaushik Mandal; Glenn J Whitman; Steven M Frank
Journal:  Anesth Analg       Date:  2019-02       Impact factor: 5.108

4.  Impact of Delta Hemoglobin on Provider Transfusion Practices and Post-operative Morbidity Among Patients Undergoing Liver and Pancreatic Surgery.

Authors:  Gaya Spolverato; Fabio Bagante; Matthew Weiss; Jin He; Christopher L Wolfgang; Fabian Johnston; Martin A Makary; Will Yang; Steven M Frank; Timothy M Pawlik
Journal:  J Gastrointest Surg       Date:  2016-09-30       Impact factor: 3.452

5.  Improvement of the Surgical Apgar Score by Addition of Intraoperative Blood Transfusion Among Patients Undergoing Major Gastrointestinal Surgery.

Authors:  Aslam Ejaz; Faiz Gani; Steven M Frank; Timothy M Pawlik
Journal:  J Gastrointest Surg       Date:  2016-08-12       Impact factor: 3.452

6.  Reducing unnecessary preoperative blood orders and costs by implementing an updated institution-specific maximum surgical blood order schedule and a remote electronic blood release system.

Authors:  Steven M Frank; Michael J Oleyar; Paul M Ness; Aaron A R Tobian
Journal:  Anesthesiology       Date:  2014-09       Impact factor: 7.892

7.  Impaired red blood cell deformability after transfusion of stored allogeneic blood but not autologous salvaged blood in cardiac surgery patients.

Authors:  Osman N Salaria; Viachaslau M Barodka; Charles W Hogue; Dan E Berkowitz; Paul M Ness; Jack O Wasey; Steven M Frank
Journal:  Anesth Analg       Date:  2014-06       Impact factor: 5.108

8.  Red Cell Transfusion Triggers and Postoperative Outcomes After Major Surgery.

Authors:  Yuhree Kim; Gaya Spolverato; Donald J Lucas; Aslam Ejaz; Li Xu; Doris Wagner; Steven M Frank; Timothy M Pawlik
Journal:  J Gastrointest Surg       Date:  2015-08-26       Impact factor: 3.452

9.  The impact of peri-operative blood transfusions on post-pancreatectomy short-term outcomes: an analysis from the American College of Surgeons National Surgical Quality Improvement Program.

Authors:  Julie Hallet; Alyson L Mahar; Melanie E Tsang; Yulia Lin; Jeannie Callum; Natalie G Coburn; Calvin H L Law; Paul J Karanicolas
Journal:  HPB (Oxford)       Date:  2015-08-24       Impact factor: 3.647

10.  Demographic and epidemiologic characterization of transfusion recipients from four US regions: evidence from the REDS-III recipient database.

Authors:  Matthew S Karafin; Roberta Bruhn; Matt Westlake; Marian T Sullivan; Walter Bialkowski; Gustaf Edgren; Nareg H Roubinian; Ronald G Hauser; Daryl J Kor; Debra Fleischmann; Jerome L Gottschall; Edward L Murphy; Darrell J Triulzi
Journal:  Transfusion       Date:  2017-10-24       Impact factor: 3.157

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