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Salenger R, Arora RC, Bracey A, D'Oria M, Engelman DT, Evans C, Grant MC, Gunaydin S, Morton V, Ozawa S, Patel PA, Raphael J, Rosengart TK, Shore-Lesserson L, Tibi P, Shander A. Cardiac Surgical Bleeding, Transfusion, and Quality Metrics: Joint Consensus Statement by the Enhanced Recovery After Surgery Cardiac Society and Society for the Advancement of Patient Blood Management. Ann Thorac Surg 2025; 119:280-295. [PMID: 39222899 DOI: 10.1016/j.athoracsur.2024.06.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 06/28/2024] [Accepted: 06/29/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Excessive perioperative bleeding is associated with major complications in cardiac surgery, resulting in increased morbidity, mortality, and cost. METHODS An international expert panel was convened to develop consensus statements on the control of bleeding and management of transfusion and to suggest key quality metrics for cardiac surgical bleeding. The panel reviewed relevant literature from the previous 10 years and used a modified RAND Delphi methodology to achieve consensus. RESULTS The panel developed 30 consensus statements in 8 categories, including prioritizing control of bleeding, prechest closure checklists, and the need for additional quality indicators beyond reexploration rate, such as time to reexploration. Consensus was also reached on the need for a universal definition of excessive bleeding, the use of antifibrinolytics, optimal cessation of antithrombotic agents, and preoperative risk scoring based on patient and procedural factors to identify those at greatest risk of excessive bleeding. Furthermore, an objective bleeding scale is needed based on the volume and rapidity of blood loss accompanied by viscoelastic management algorithms and standardized, patient-centered blood management strategies reflecting an interdisciplinary approach to quality improvement. CONCLUSIONS Prioritizing the timely control and management of bleeding is essential to improving patient outcomes in cardiac surgery. To this end, a cardiac surgical bleeding quality metric that is more comprehensive than reexploration rate alone is needed. Similarly, interdisciplinary quality initiatives that seek to implement enhanced quality indicators will likely lead to improved patient care and outcomes.
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Affiliation(s)
- Rawn Salenger
- Division of Cardiac Surgery, University of Maryland Saint Joseph Medical Center, Towson, Maryland
| | - Rakesh C Arora
- Division of Cardiac Surgery, Harrington Heart and Vascular Institute, University Hospitals, Cleveland, Ohio
| | - Arthur Bracey
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas
| | - Mario D'Oria
- Division of Vascular and Endovascular Surgery, Department of Medical Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Daniel T Engelman
- Department of Surgery, Baystate Medical Center, University of Massachusetts Chan Medical School-Baystate, Springfield, Massachusetts
| | - Caroline Evans
- Department of Anaesthesia and Intensive Care, University Hospital of Wales, Cardiff, United Kingdom
| | - Michael C Grant
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Serdar Gunaydin
- Department of Cardiovascular Surgery, City Hospital Campus, University of Health Sciences, Ankara, Turkey
| | - Vicki Morton
- Providence Anesthesiology Associates, Charlotte, North Carolina
| | - Sherri Ozawa
- Department of Anesthesiology, Critical Care and Hyperbaric Medicine, TeamHealth, Englewood Hospital, Englewood, New Jersey; Society for the Advancement of Patient Blood Management (SABM), Englewood, New Jersey
| | - Prakash A Patel
- Department of Anesthesiology, Jefferson Abington Hospital, Abington, Pennsylvania
| | - Jacob Raphael
- Department of Anesthesiology and Perioperative Medicine, Thomas Jefferson University Hospital, Sidney Kimmel College of Medicine, Philadelphia, Pennsylvania
| | - Todd K Rosengart
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas
| | - Linda Shore-Lesserson
- Department of Anesthesiology, Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York
| | - Pierre Tibi
- Department of Cardiovascular Surgery, Yavapai Regional Medical Center, Prescott, Arizona
| | - Aryeh Shander
- Department of Anesthesiology, Critical Care and Hyperbaric Medicine, TeamHealth, Englewood Hospital, Englewood, New Jersey; Society for the Advancement of Patient Blood Management (SABM), Englewood, New Jersey.
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2
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Hensley NB, Kajstura TJ, Frank SM. Patient blood management in cardiac surgery: Finding the low hanging and cost effective fruit. J Clin Anesth 2024; 97:111581. [PMID: 39223058 DOI: 10.1016/j.jclinane.2024.111581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Accepted: 08/05/2024] [Indexed: 09/04/2024]
Affiliation(s)
- Nadia B Hensley
- Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Tymoteusz J Kajstura
- Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Steven M Frank
- Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, MD, USA.
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3
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Lenet T, Berthelot P, Grudzinski AL, Banks A, Tropiano J, McIsaac DI, Tinmouth A, Patey AM, Fergusson DA, Martel G. Nonclinical factors affecting intraoperative red blood cell transfusion: a systematic review. Can J Anaesth 2024; 71:1023-1036. [PMID: 38509437 DOI: 10.1007/s12630-024-02739-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 12/04/2023] [Accepted: 12/05/2023] [Indexed: 03/22/2024] Open
Abstract
PURPOSE There is significant variability in intraoperative red blood cell (RBC) transfusion practice. We aimed to use the theoretical domains framework (TDF) to categorize nonclinical and behavioural factors driving intraoperative RBC transfusion practice in a systematic review of the literature. SOURCE We searched electronic databases from inception until August 2021 to identify studies evaluating nonclinical factors affecting intraoperative RBC transfusion. Using the Mixed Methods Appraisal Tool, we assessed the quality of included studies and identified relevant nonclinical factors, which were coded into TDF domains by two independent reviewers using NVivo (Lumivero, QSR International, Burlington, MA, USA). We identified common themes within domains and sorted domains based on the frequency of reported factors. PRINCIPAL FINDINGS Our systematic review identified 18 studies: nine retrospective cohort studies, six cross-sectional surveys, and three before-and-after studies. Factors related to the social influences, behavioural regulation, environmental context/resources, and beliefs about consequences domains of the TDF were the most reported factors. Key factors underlying the observed variability in transfusion practice included the social effects of peers, patients, and institutional culture on decision-making (social influences), and characteristics of the practice environment including case volume, geographic location, and case start time (environmental context/resources). Studies reported variable beliefs about the consequences of both intraoperative transfusion and anemia (beliefs about consequences). Provider- and institutional-level audits, educational sessions, and increased communication between surgeons/anesthesiologists were identified as strategies to optimize intraoperative transfusion decision-making (behavioural regulation). CONCLUSION Our systematic review has synthesized the literature on nonclinical and behavioural factors impacting intraoperative transfusion decision-making, categorized using the TDF. These findings can inform evidence-based interventions to reduce intraoperative RBC transfusion variability. STUDY REGISTRATION Open Science Framework ( https://osf.io/pm8zs/?view_only=166299ed28964804b9360c429b1218c1 ; first posted, 3 August 2022).
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Affiliation(s)
- Tori Lenet
- Department of Surgery, The Ottawa Hospital, Ottawa, ON, Canada
- Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | | | - Alexa L Grudzinski
- Department of Anesthesiology and Pain Medicine, University of Ottawa and The Ottawa Hospital, Ottawa, ON, Canada
| | - Alexander Banks
- Department of Surgery, The Ottawa Hospital, Ottawa, ON, Canada
| | - Joseph Tropiano
- Department of Surgery, The Ottawa Hospital, Ottawa, ON, Canada
| | - Daniel I McIsaac
- Department of Anesthesiology and Pain Medicine, University of Ottawa and The Ottawa Hospital, Ottawa, ON, Canada
| | - Alan Tinmouth
- Department of Medicine, The Ottawa Hospital, Ottawa, ON, Canada
- Canadian Blood Services, Ottawa, ON, Canada
| | - Andrea M Patey
- Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Dean A Fergusson
- Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Canadian Blood Services, Ottawa, ON, Canada
| | - Guillaume Martel
- Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, ON, Canada.
- Department of Surgery, The Ottawa Hospital - General Campus, 501 Smyth Rd, CCW 1667, Ottawa, ON, K1H 8L6, Canada.
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4
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Casas Lopez C, Calvin J, Hensley NB. Improvement science supports the timely initiation of amiodarone after complex cardiac surgery to reduce postoperative atrial fibrillation. Can J Anaesth 2023; 70:1865-1869. [PMID: 37884771 DOI: 10.1007/s12630-023-02618-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 06/16/2023] [Accepted: 06/18/2023] [Indexed: 10/28/2023] Open
Affiliation(s)
- Catalina Casas Lopez
- Department of Anesthesiology and Perioperative Medicine, London Health Sciences Centre and St. Joseph's Health Care, University of Western Ontario, London, ON, Canada.
- London Health Sciences Centre, 339 Windermere Rd., London, ON, N6A 5A5, Canada.
| | - James Calvin
- Department of Medicine, Western University, London, ON, Canada
| | - Nadia B Hensley
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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5
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Lenet T, Tropiano J, Skanes S, Ivankovic V, Verret M, McIsaac DI, Tinmouth A, Nicholls SG, Patey AM, Fergusson DA, Martel G. Understanding Intraoperative Transfusion Decision-Making Variability: A Qualitative Study. Transfus Med Rev 2023; 37:150726. [PMID: 37315996 DOI: 10.1016/j.tmrv.2023.150726] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 05/10/2023] [Accepted: 05/12/2023] [Indexed: 06/16/2023]
Abstract
There is evidence of significant intraoperative red blood cell (RBC) transfusion variability that cannot be explained by case-mix, and may reflect unwarranted transfusions. The objective was to explore the source of intraoperative RBC transfusion variability by eliciting the beliefs of anesthesiologists and surgeons that underlie transfusion decisions. Interviews based on the Theoretical Domains Framework were conducted to identify beliefs about intraoperative transfusion. Content analysis was performed to group statements into domains. Relevant domains were selected based on frequency of beliefs, perceived influence on transfusion, and the presence of conflicting beliefs within domains. Of the 28 transfusion experts recruited internationally (16 anesthesiologists, 12 surgeons), 24 (86%) were Canadian or American and 11 (39%) identified as female. Eight relevant domains were identified: (1) Knowledge (insufficient evidence to guide intraoperative transfusion), (2) Social/professional role and identity (surgeons/anesthesiologists share responsibility for transfusions), (3) Beliefs about consequences (concerns about morbidity of transfusion/anemia), (4) Environmental context/resources (transfusions influenced by type of surgery, local blood supply, cost of transfusion), (5) Social influences (institutional culture, judgment by peers, surgeon-anesthesiologist relationship, patient preference influencing transfusion decisions), (6) Behavioral regulation (need for intraoperative transfusion guidelines, usefulness of audits and educational sessions to guide transfusion), (7) Nature of the behaviors (overtransfusion remains commonplace, transfusion practice becoming more restrictive over time), and (8) Memory, attention, and decision processes (various patient and operative characteristics are incorporated into transfusion decisions). This study identified a range of factors underlying intraoperative transfusion decision-making and partly explain the variability in transfusion behavior. Targeted theory-informed behavior-change interventions derived from this work could help reduce intraoperative transfusion variability.
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Affiliation(s)
- Tori Lenet
- Department of Surgery, The Ottawa Hospital, Ottawa, Ontario, Canada; Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Joseph Tropiano
- Department of Surgery, The Ottawa Hospital, Ottawa, Ontario, Canada
| | - Stephanie Skanes
- Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | | | - Michael Verret
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Department of Anesthesia, CHU de Québec - Université Laval, Québec City, Québec, Canada
| | - Daniel I McIsaac
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Departments of Anesthesiology and Pain Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada
| | - Alan Tinmouth
- Department of Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada; Canadian Blood Services, Ottawa, Ontario, Canada
| | - Stuart G Nicholls
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Andrea M Patey
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Dean A Fergusson
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Canadian Blood Services, Ottawa, Ontario, Canada
| | - Guillaume Martel
- Department of Surgery, The Ottawa Hospital, Ottawa, Ontario, Canada; Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
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6
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Ariyo P, Abernathy JH, Hensley NB. Role of Value-Added Care by Cardiothoracic Anesthesiology and Impact on Outcomes After Cardiac Surgery. Semin Cardiothorac Vasc Anesth 2022; 26:173-178. [PMID: 35130773 DOI: 10.1177/10892532211048953] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The medical community is increasingly aware of the need for high-quality and high-value patient care. Anesthesiologists in particular have long demonstrated leadership in the field of quality and safety. Cardiothoracic anesthesiologists can improve the quality of care delivered to cardiac patients both with anesthesia-specific practices and in a team-based approach with other perioperative care providers. Collecting large volumes of multicentered data to study, measure, and improve anesthesia care is one of the many commitments of cardiothoracic anesthesiologists to this cause. This article reviews this and other aspects of the work of cardiothoracic anesthesiologists to improve value-added care to cardiac patients.
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Affiliation(s)
- Promise Ariyo
- 1466Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Nadia B Hensley
- 1466Johns Hopkins University School of Medicine, Baltimore, MD, USA
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7
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Vanden Broeck J, Beeckman K, Van Gastel E, De Keersmaecker L, Devos T, Gérard C, Noens L, Putzeys D, Van Poucke K, Haelterman M, Deneys V, Schots R. Improvement of transfusion practice and reduction in red blood cell utilization in Belgian hospitals: Results of a national survey and benchmarking. Vox Sang 2021; 117:259-267. [PMID: 34374093 DOI: 10.1111/vox.13187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 06/01/2021] [Accepted: 07/08/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND OBJECTIVES Belgian health authorities launched a national platform in 2011 to improve the quality of transfusion practices and blood use in Belgian hospitals. No data were available about the quality of hospital transfusion practice at the national level. MATERIALS AND METHODS Three consecutive national surveys (2012, 2014 and 2016) were performed in all 111 Belgian hospitals to assess the degree of implementation of standards in four process domains related to red blood cell (RBC) transfusion: general quality aspects, ordering of RBC, electronic traceability and reporting of adverse events. The surveys were part of a methodology based on informing, feedback and benchmarking. Responses to questions were analysed semi-quantitatively, and hospitals could score 10 points on each of the domains. RESULTS The proportion of hospitals scoring below 5 per domain decreased from 16%, 70%, 14% and 11% (2012) to 2%, 17%, 1% and 1% (2016), respectively. Similarly, scores above 7.5 increased from 25%, 1%, 23% and 36% (2012) to 64%, 30%, 68% and 81% (2016), respectively. In 2016, overall quality of transfusion practices, including the four pre-specified domains, improved continuously with an average total score (max = 40) increasing from 24.2 to 30.5 (p = 0.0005). In addition, there was a decrease in the number of distributed and transfused RBC per 1000 population between 2011 and 2019 from 47.0 to 36.5 and 43.5 to 36.1, respectively. CONCLUSION These data show that the applied methodology was a powerful tool to improve quality of transfusion practices and to optimize utilization of RBC at the national level.
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Affiliation(s)
- Jana Vanden Broeck
- Department of Hematology, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (VUB), Brussels, Belgium.,Federal Public Service Health, Food Chain Safety and Environment, Brussels, Belgium
| | - Katrien Beeckman
- Nursing and Midwifery Research Unit, University Hospital Brussels, Brussels, Belgium.,Nursing and Midwifery Research Unit, Faculty of Medicine and Pharmacy, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (VUB), Brussels, Belgium.,Centre for Research and Innovation in Care, Midwifery Research Education and Policymaking (MIDREP), Verpleeg- en vroedkunde, Universiteit Antwerpen, Antwerp, Belgium
| | | | | | - Timothy Devos
- Department of Hematology, Universitair Ziekenhuis Gasthuisberg, Katholieke Universiteit Leuven, Leuven, Belgium
| | | | - Lucien Noens
- Blood Bank, Universitair Ziekenhuis Gent, Ghent, Belgium
| | - Dominique Putzeys
- Department of Nursing, Centre Hospitalier Régional de la Citadelle Liège, Liège, Belgium
| | - Karin Van Poucke
- Clinical Laboratory, Algemeen Ziekenhuis Nikolaas, Sint-Niklaas, Belgium
| | - Margareta Haelterman
- Federal Public Service Health, Food Chain Safety and Environment, Brussels, Belgium
| | - Véronique Deneys
- Blood Bank, Département des Laboratoires Cliniques, Cliniques universitaires Saint-Luc, Université Catholique de Louvain Brussels, Brussels, Belgium
| | - Rik Schots
- Department of Hematology, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (VUB), Brussels, Belgium
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8
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Hensley NB, Grant MC, Cho BC, Suffredini G, Abernathy JA. How Do We Use Dashboards to Enhance Quality in Cardiac Anesthesia? J Cardiothorac Vasc Anesth 2021; 35:2969-2976. [PMID: 34059439 DOI: 10.1053/j.jvca.2021.04.034] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 03/30/2021] [Accepted: 04/20/2021] [Indexed: 02/04/2023]
Abstract
The use of clinical dashboards has expanded significantly in healthcare in recent years in a variety of settings. The ability to analyze data related to quality metrics in one screen is highly desirable for cardiac anesthesiologists, as they have considerable influence on important clinical outcomes. Building a robust quality program within cardiac anesthesia relies on consistent access and review of quality outcome measures, process measures, and operational measures through a clinical dashboard. Signals and trends in these measures may be compared to other cardiac surgical programs to analyze gaps and areas for quality improvement efforts. In this article, the authors describe how they designed a clinical cardiac anesthesia dashboard for quality efforts at their institution.
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Affiliation(s)
- Nadia B Hensley
- Department of Anesthesiology and Critical Care Medicine, Division of Cardiac Anesthesiology, Johns Hopkins University School of Medicine, Baltimore, MD.
| | - Michael C Grant
- Department of Anesthesiology and Critical Care Medicine, Division of Cardiac Anesthesiology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Brian C Cho
- Department of Anesthesiology and Critical Care Medicine, Division of Cardiac Anesthesiology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Giancarlo Suffredini
- Department of Anesthesiology and Critical Care Medicine, Division of Cardiac Anesthesiology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - James A Abernathy
- Department of Anesthesiology and Critical Care Medicine, Division of Cardiac Anesthesiology, Johns Hopkins University School of Medicine, Baltimore, MD
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9
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Lo BD, Cho BC, Hensley NB, Cruz NC, Gehrie EA, Frank SM. Impact of body weight on hemoglobin increments in adult red blood cell transfusion. Transfusion 2021; 61:1412-1423. [PMID: 33629773 DOI: 10.1111/trf.16338] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Revised: 01/14/2021] [Accepted: 01/23/2021] [Indexed: 01/28/2023]
Abstract
BACKGROUND Though weight is a major consideration when transfusing blood in pediatric patients, it is generally not considered when dosing transfusions in adults. We hypothesized that the change in hemoglobin (Hb) concentration is inversely proportional to body weight when transfusing red blood cells (RBC) in adults. METHODS A total of 13,620 adult surgical patients at our institution were assessed in this retrospective cohort study (2009-2016). Patients were stratified based on total body weight (kg): 40-59.9 (16.6%), 60-79.9 (40.4%), 80-99.9 (28.8%), 100-119.9 (11.3%), and 120-139.9 (2.9%). The primary outcome was the change in Hb per RBC unit transfused. Subgroup analyses were performed after stratification by sex (male/female) and the total number of RBC units received (1/2/≥3 units). Multivariable models were used to assess the association between weight and change in Hb. RESULTS As patients' body weight increased, there was a decrease in the mean change in Hb per RBC unit transfused (40-59.9 kg: 0.85 g/dL, 60-79.9 kg: 0.73 g/dL, 80-99.9 kg: 0.66 g/dL, 100-119.9 kg: 0.60 g/dL, 120-139.9 kg: 0.55 g/dL; p < .0001). This corresponded with a 35% difference in the change in Hb between the lowest and highest weight categories on univariate analysis. Similar trends were seen after subgroup stratification. On multivariable analysis, for every 20 kg increase in patient weight, there was a ~6.5% decrease in the change in Hb per RBC unit transfused (p < .0001). CONCLUSIONS Patient body weight differentially impacts the change in Hb after RBC transfusion. These findings justify incorporating body weight into the clinical decision-making process when transfusing blood in adult surgical patients.
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Affiliation(s)
- Brian D Lo
- Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Brian C Cho
- Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Nadia B Hensley
- Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Nicolas C Cruz
- Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Eric A Gehrie
- Department of Pathology (Transfusion Medicine), The Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Steven M Frank
- Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.,The Armstrong Institute for Patient Safety and Quality, The Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
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10
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Merkel KR, Lin SD, Frank SM, Kajstura TJ, Cruz NC, Lo BD, Black JH, Gehrie EA, Hensley NB, Cho BC, Lester LC. Balancing the Blood Component Transfusion Ratio for High- and Ultra High-Dose Cell Salvage Cases. J Cardiothorac Vasc Anesth 2020; 35:1060-1066. [PMID: 32928652 DOI: 10.1053/j.jvca.2020.08.044] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Revised: 08/18/2020] [Accepted: 08/19/2020] [Indexed: 11/11/2022]
Abstract
OBJECTIVE To assess the ratio of non-red blood cell to red blood cell components required to avoid coagulopathy when transfusing large amounts of salvaged blood using laboratory test-guided therapy. DESIGN Retrospective cohort study. SETTING Single-center, academic hospital. PARTICIPANTS Thoracoabdominal and abdominal open aortic surgery patients. MEASUREMENT AND MAIN RESULTS Thirty-eight patients in whom at least 1,000 mL of salvaged red blood cells were transfused were identified and divided into the following 2 cohorts: 1,000-to-2,000 mL of salvaged red blood cells (high dose) (n = 20) and >2,000 mL of salvaged red blood cells (ultra-high dose) (n = 18). Compared with the high-dose cohort, the ultra high-dose cohort received ∼4 times more salvaged red blood cells (1,240 ± 279 mL v 5,550 ± 3,801 mL). With transfusion therapy guided by intraoperative coagulation tests and thromboelastography, the adjusted ratio of non-red blood cell to red blood cell components (plasma + platelets + cryoprecipitate:allogeneic + salvaged red blood cells) was 0.59 ± 0.66 in the high-dose and 0.93 ± 0.27 in the ultra high-dose cohorts. Multiple coagulation parameters were normal and similar between cohorts at the end of surgery, as determined by the mean, median, and 95% confidence intervals. CONCLUSIONS When transfusing large volumes of salvaged blood, it is important to balance the ratio between non-red blood cell and red blood cell components. Through a laboratory test-guided approach, coagulopathy was not detected when transfusing blood in ratios of approximately 1:2 for patients receiving 1,000-to-2,000 mL of salvaged blood and 1:1 for patients receiving >2,000 mL of salvaged blood.
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Affiliation(s)
- Kevin R Merkel
- Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, MD
| | - Sophia D Lin
- Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, MD
| | - Steven M Frank
- Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, MD; The Armstrong Institute for Patient Safety and Quality, The Johns Hopkins Medical Institutions, Baltimore, MD.
| | - Tymoteusz J Kajstura
- Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, MD
| | - Nicolas C Cruz
- Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, MD
| | - Brian D Lo
- Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, MD
| | - James H Black
- Department of Surgery, The Johns Hopkins Medical Institutions, Baltimore, MD
| | - Eric A Gehrie
- Departments of Pathology (Transfusion Medicine) and Surgery, The Johns Hopkins Medical Institutions, Baltimore, MD
| | - Nadia B Hensley
- Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, MD
| | - Brian C Cho
- Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, MD
| | - Laeben C Lester
- Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, MD
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11
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Staples S, Salisbury RA, King AJ, Polzella P, Bakhishli G, Staves J, Murphy MF. How do we use electronic clinical decision support and feedback to promote good transfusion practice. Transfusion 2020; 60:1658-1665. [DOI: 10.1111/trf.15864] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 04/15/2020] [Accepted: 04/15/2020] [Indexed: 11/27/2022]
Affiliation(s)
- Sophie Staples
- Oxford University Hospitals NHS Foundation Trust (OUH) Oxford UK
| | | | - Andrew J. King
- Oxford University Hospitals NHS Foundation Trust (OUH) Oxford UK
| | - Paolo Polzella
- Oxford University Hospitals NHS Foundation Trust (OUH) Oxford UK
| | | | - Julie Staves
- Oxford University Hospitals NHS Foundation Trust (OUH) Oxford UK
| | - Michael F. Murphy
- Oxford University Hospitals NHS Foundation Trust (OUH) Oxford UK
- NHS Blood & Transplant, John Radcliffe Hospital Oxford UK
- Radcliffe Department of MedicineUniversity of Oxford Oxford UK
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12
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Tanaka KA, Henderson RA, Strauss ER. Evolution of viscoelastic coagulation testing. Expert Rev Hematol 2020; 13:697-707. [DOI: 10.1080/17474086.2020.1758929] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
| | | | - Erik R. Strauss
- School of Medicine, University of Maryland, Baltimore, MD, USA
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