1
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Oh TK, Song IA. Perioperative Transfusion and Mortality for Cardiovascular Surgery: A Cohort Study Based on Population in Republic of Korea. J Clin Med 2024; 13:2328. [PMID: 38673602 PMCID: PMC11051365 DOI: 10.3390/jcm13082328] [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: 03/16/2024] [Revised: 04/12/2024] [Accepted: 04/14/2024] [Indexed: 04/28/2024] Open
Abstract
Objective:This study aimed to evaluate the rate of transfusion for cardiovascular surgeries between 2010 and 2019 in Republic of Korea and the association between blood transfusion and postoperative mortality. Methods: Data were extracted from the National Health Insurance Service database in Republic of Korea. This study includes adult patients who underwent cardiovascular surgery between 1 January 2010 and 31 December 2019. The endpoints were in-hospital mortality and the 1-year all-cause mortality. Results: The analysis included 62,794 cases, with transfusions used in 88.8% of cases. Multivariable logistic regression revealed that older age, comorbidities, hospital admission through the emergency room, aortic procedures (versus coronary artery bypass grafting), cardiopulmonary bypass, repeat procedures, and supportive therapies during the intensive care (extracorporeal membrane oxygenation and mechanical ventilation) were risk factors for blood transfusion. Female sex was associated with a lower risk of transfusion. Perioperative blood transfusion was associated with a 6.87-fold increased risk of in-hospital mortality (odds ratio [OR]: 6.87, 95% confidence interval [CI]: 3.95, 11.93; p < 0.001) and a 3.20-fold increased risk of 1-year all-cause mortality (OR: 3.35, 95% CI: 2.75, 3.93; p < 0.001). Conclusions: Blood transfusion is used at a high rate in cardiovascular surgeries, and it was associated with increases in the risk of in-hospital and 1-year all-cause mortality. However, these correlations should be viewed with caution as emergent phenomena rather than causative. Understanding factors associated with the need for blood transfusion can assist surgeons in predicting the outcomes of cardiovascular surgery and in tailoring procedures as needed to optimize outcomes.
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Affiliation(s)
- Tak-Kyu Oh
- Department of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Republic of Korea;
- Department of Anesthesiology and Pain Medicine, College of Medicine, Seoul National University, Seoul 08826, Republic of Korea
| | - In-Ae Song
- Department of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Republic of Korea;
- Department of Anesthesiology and Pain Medicine, College of Medicine, Seoul National University, Seoul 08826, Republic of Korea
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White SK, Walker BS, Schmidt RL, Metcalf RA. The incidence of transfusion-related acute lung injury using active surveillance: A systematic review and meta-analysis. Transfusion 2024; 64:289-300. [PMID: 38116828 DOI: 10.1111/trf.17688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 11/30/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND Transfusion-related acute lung injury (TRALI) is a leading cause of transfusion-related mortality. A concern with passive surveillance to detect transfusion reactions is underreporting. Our aim was to obtain evidence-based estimates of TRALI incidence using meta-analysis of active surveillance studies and to compare these estimates with passive surveillance. STUDY DESIGN AND METHODS We performed a systematic review and meta-analysis of studies reporting TRALI rates. A search of Medline and Embase by a research librarian identified studies published between January 1, 1991 and January 20, 2023. Prospective and retrospective observational studies reporting TRALI by blood component (red blood cells [RBCs], platelets, or plasma) were identified and all inpatient and outpatient settings were eligible. Adult and pediatric, as well as general and specific clinical populations, were included. Platelets and plasma must have used at least one modern TRALI donor risk mitigation strategy. A random effects model estimated TRALI incidence by blood component for active and passive surveillance studies and heterogeneity was examined using meta-regression. RESULTS Eighty studies were included with approximately 176-million blood components transfused. RBCs had the highest number of studies (n = 66) included, followed by platelets (n = 35) and plasma (n = 34). Pooled TRALI estimates for active surveillance studies were 0.17/10,000 (95% confidence intervals [CI]: 0.03-0.43; I2 = 79%) for RBCs, 0.31/10,000 (95% CI: 0.22-0.42; I2 = <1%) for platelets, and 3.19/10,000 (95% CI: 0.09-10.66; I2 = 86%) for plasma. Studies using passive surveillance ranged from 0.02 to 0.10/10,000 among the various blood components. DISCUSSION In summary, these estimates may improve a quantitative understanding of TRALI risk, which is important for clinical decision-making weighing the risks and benefits of transfusion.
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Affiliation(s)
- Sandra K White
- Department of Pathology, University of Utah, Salt Lake City, Utah, USA
| | | | - Robert L Schmidt
- Department of Pathology, University of Utah, Salt Lake City, Utah, USA
- ARUP Laboratories, Salt Lake City, Utah, USA
| | - Ryan A Metcalf
- Department of Pathology, University of Utah, Salt Lake City, Utah, USA
- ARUP Laboratories, Salt Lake City, Utah, USA
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3
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Is donor-recipient sex associated with transfusion-related outcomes in critically ill patients? Blood Adv 2022; 6:6076-6077. [PMID: 36103149 PMCID: PMC9720514 DOI: 10.1182/bloodadvances.2022008432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 08/26/2022] [Indexed: 12/14/2022] Open
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Tung A. 100 Years of Critical Care in the Pages of Anesthesia & Analgesia. Anesth Analg 2022; 135:S62-S67. [PMID: 35839834 DOI: 10.1213/ane.0000000000006045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The founding of Anesthesia & Analgesia (A&A) in 1922 was roughly contemporaneous with the creation of the first intensive care unit (ICU) in the United States at Johns Hopkins in 1923. Throughout the next 100 years, the pages of A&A have mirrored the development of critical care as its own distinct specialty. Although primarily a journal focused on intraoperative anesthesia, A&A has maintained a small but steady presence in critical care research. This review highlights the history and development of critical care publications in the pages of A&A from early observations on the physiology of critical illness (1922-1949) to the groundbreaking work of Peter Safar and others on cardiopulmonary resuscitation (1950-1970), the growth of modern critical care (1970-2010), and the 2020 to 2022 coronavirus disease 2019 (COVID-19) era.
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Affiliation(s)
- Avery Tung
- From the Department of Anesthesia and Critical Care, University of Chicago, Chicago, Illinois
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Gelbard RB, Griffin RL, Reynolds L, Abraham P, Warner J, Hu P, Kerby JD, Uhlich R, Marques MB, Jansen JO, Holcomb JB. Over-transfusion with blood for suspected hemorrhagic shock is not associated with worse clinical outcomes. Transfusion 2022; 62 Suppl 1:S177-S184. [PMID: 35753037 DOI: 10.1111/trf.16978] [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: 02/01/2022] [Revised: 05/24/2022] [Accepted: 05/24/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND We evaluated patient outcomes after early, small volume red blood cell (RBC) transfusion in the setting of presumed hemorrhagic shock. We hypothesized that transfusion with even small amounts of blood would be associated with more complications. STUDY DESIGN AND METHODS Retrospective review of trauma patients admitted to a Level 1 trauma center between 2016-2021. Patients predicted to require massive transfusion who survived ≥72 h were categorized according to units of RBCs transfused in the first 24 h. A Cox regression model stratified by dichotomized ISS and adjusted for SBP <90 mm Hg and pulse >120 bpm on arrival was used to estimate hazard ratios (HRs) for outcomes of interest. RESULTS A total of 3121 (24%) received RBC transfusion within the first 24 h. Massive transfusion protocol (MTP) was activated in 38% (1188/3121): 17% received no RBCs, 27.4% 1-3 units, 32.4% 4-9 units, and 22.7% ≥10 units. Mean ISS increased with each category of RBC transfusion. There was no difference in the risk of acute kidney injury (AKI), acute respiratory distress syndrome (ARDS), infection, cardiac arrest, venous thromboembolism or stroke for patients receiving 1-3 units compared to the non-transfused group or 4-9 units group (p > 0.05). Compared to those receiving ≥10 units, the 1-3 units group had a significantly lower risk of AKI, ARDS, and cardiac arrest. DISCUSSION Early empiric RBC transfusion for presumed hemorrhagic shock may subject patients to potential over-transfusion and end-organ damage. Among patients meeting clinical triggers for MTP, 1-3 units of allogeneic RBCs is not associated with worse outcomes.
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Affiliation(s)
- Rondi B Gelbard
- Department of Trauma and Acute Care Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Russell L Griffin
- Department of Trauma and Acute Care Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Lindy Reynolds
- School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Peter Abraham
- Department of Trauma and Acute Care Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Jeffrey Warner
- Department of Trauma and Acute Care Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Parker Hu
- Department of Trauma and Acute Care Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Jeffrey D Kerby
- Department of Trauma and Acute Care Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Rindi Uhlich
- Department of Trauma and Acute Care Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Marisa B Marques
- Department of Pathology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Jan O Jansen
- Department of Trauma and Acute Care Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - John B Holcomb
- Department of Trauma and Acute Care Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
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6
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Chen S, Liu LP, Wang YJ, Zhou XH, Dong H, Chen ZW, Wu J, Gui R, Zhao QY. Advancing Prediction of Risk of Intraoperative Massive Blood Transfusion in Liver Transplantation With Machine Learning Models. A Multicenter Retrospective Study. Front Neuroinform 2022; 16:893452. [PMID: 35645754 PMCID: PMC9140217 DOI: 10.3389/fninf.2022.893452] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
Background Liver transplantation surgery is often accompanied by massive blood loss and massive transfusion (MT), while MT can cause many serious complications related to high mortality. Therefore, there is an urgent need for a model that can predict the demand for MT to reduce the waste of blood resources and improve the prognosis of patients. Objective To develop a model for predicting intraoperative massive blood transfusion in liver transplantation surgery based on machine learning algorithms. Methods A total of 1,239 patients who underwent liver transplantation surgery in three large grade lll-A general hospitals of China from March 2014 to November 2021 were included and analyzed. A total of 1193 cases were randomly divided into the training set (70%) and test set (30%), and 46 cases were prospectively collected as a validation set. The outcome of this study was an intraoperative massive blood transfusion. A total of 27 candidate risk factors were collected, and recursive feature elimination (RFE) was used to select key features based on the Categorical Boosting (CatBoost) model. A total of ten machine learning models were built, among which the three best performing models and the traditional logistic regression (LR) method were prospectively verified in the validation set. The Area Under the Receiver Operating Characteristic Curve (AUROC) was used for model performance evaluation. The Shapley additive explanation value was applied to explain the complex ensemble learning models. Results Fifteen key variables were screened out, including age, weight, hemoglobin, platelets, white blood cells count, activated partial thromboplastin time, prothrombin time, thrombin time, direct bilirubin, aspartate aminotransferase, total protein, albumin, globulin, creatinine, urea. Among all algorithms, the predictive performance of the CatBoost model (AUROC: 0.810) was the best. In the prospective validation cohort, LR performed far less well than other algorithms. Conclusion A prediction model for massive blood transfusion in liver transplantation surgery was successfully established based on the CatBoost algorithm, and a certain degree of generalization verification is carried out in the validation set. The model may be superior to the traditional LR model and other algorithms, and it can more accurately predict the risk of massive blood transfusions and guide clinical decision-making.
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Affiliation(s)
- Sai Chen
- Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Le-Ping Liu
- Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Yong-Jun Wang
- Department of Blood Transfusion, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiong-Hui Zhou
- Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Hang Dong
- Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Zi-Wei Chen
- Department of Laboratory Medicine, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Jiang Wu
- Department of Blood Transfusion, Renji Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China
| | - Rong Gui
- Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Qin-Yu Zhao
- College of Engineering and Computer Science, Australian National University, Canberra, ACT, Australia
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7
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Himmelwright RS, Dominguez JE. Postpartum Respiratory Depression. Anesthesiol Clin 2021; 39:687-709. [PMID: 34776104 DOI: 10.1016/j.anclin.2021.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Postpartum respiratory depression is a complex, multifactorial issue that encompasses a patient's baseline preexisting conditions, certain pregnancy-specific conditions or complications, as well as the iatrogenic element of various medications given in the peripartum period. In this review, we discuss many of these factors including obesity, sleep-disordered breathing, chronic lung disease, neuromuscular disorders, opioids, preeclampsia, peripartum cardiomyopathy, postpartum hemorrhage, amniotic fluid embolism, sepsis, acute respiratory distress syndrome (ARDS), and medications such as analgesics, sedatives, anesthetics, and magnesium. Current recommendations for screening, treatment, and prevention are also discussed.
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Affiliation(s)
| | - Jennifer E Dominguez
- Duke University Medical Center, DUMC 3094, MS#9, 2301 Erwin Road, Durham, NC 27710, USA.
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8
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Pati S, Fennern E, Holcomb JB, Barry M, Trivedi A, Cap AP, Martin MJ, Wade C, Kozar R, Cardenas JC, Rappold JF, Spiegel R, Schreiber MA. Treating the endotheliopathy of SARS-CoV-2 infection with plasma: Lessons learned from optimized trauma resuscitation with blood products. Transfusion 2021; 61 Suppl 1:S336-S347. [PMID: 34269437 PMCID: PMC8446992 DOI: 10.1111/trf.16452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 03/30/2021] [Indexed: 11/29/2022]
Affiliation(s)
- Shibani Pati
- Department of Lab MedicineUniversity of California San Francisco School of MedicineSan FranciscoCaliforniaUSA
| | - Erin Fennern
- Department of SurgeryMount Sinai Icahn School of MedicineNew YorkNew YorkUSA
| | | | - Mark Barry
- Department of SurgeryUniversity of California San Francisco School of MedicineSan FranciscoCaliforniaUSA
| | - Alpa Trivedi
- Department of Lab MedicineUniversity of California San Francisco School of MedicineSan FranciscoCaliforniaUSA
| | - Andrew P. Cap
- U.S. Army Institute of Surgical ResearchJBSA‐FT Sam HoustonSan AntonioTexasUSA
| | | | - Charles Wade
- Department of Surgery McGovern School of MedicineUniversity of Texas Health Science CenterHoustonTexasUSA
| | - Rosemary Kozar
- Department of SurgeryUniversity of MarylandBaltimoreMarylandUSA
| | - Jessica C. Cardenas
- Department of Surgery McGovern School of MedicineUniversity of Texas Health Science CenterHoustonTexasUSA
| | - Joseph F. Rappold
- Department of Surgery Maine Medical CenterTufts University School of MedicinePortlandMaineUSA
| | - Renee Spiegel
- Department of SurgeryElmhurst Hospital CenterElmhurstNew YorkUSA
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9
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Holcomb JB, Spinella PC, Apelseth TO, Butler FK, Cannon JW, Cap AP, Corley JB, Doughty H, Fitzpatrick M, Goldkind SF, Gurney JM, Homer MJ, Ilstrup SJ, Jansen JO, Jenkins DH, Marques MB, Moore EE, Ness PM, O'Connor KC, Schreiber MA, Shinar E, Sloan S, Strandenes G, Stubbs JR, Taylor AL, Ward KR, Waltman E, Yazer M. Civilian walking blood bank emergency preparedness plan. Transfusion 2021; 61 Suppl 1:S313-S325. [PMID: 34269450 DOI: 10.1111/trf.16458] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 01/12/2021] [Accepted: 01/14/2021] [Indexed: 12/29/2022]
Abstract
BACKGROUND The current global pandemic has created unprecedented challenges in the blood supply network. Given the recent shortages, there must be a civilian plan for massively bleeding patients when there are no blood products on the shelf. Recognizing that the time to death in bleeding patients is less than 2 h, timely resupply from unaffected locations is not possible. One solution is to transfuse emergency untested whole blood (EUWB), similar to the extensive military experience fine-tuned over the last 19 years. While this concept is anathema in current civilian transfusion practice, it seems prudent to have a vetted plan in place. METHODS AND MATERIALS During the early stages of the 2020 global pandemic, a multidisciplinary and international group of clinicians with broad experience in transfusion medicine communicated routinely. The result is a planning document that provides both background information and a high-level guide on how to emergently deliver EUWB for patients who would otherwise die of hemorrhage. RESULTS AND CONCLUSIONS Similar plans have been utilized in remote locations, both on the battlefield and in civilian practice. The proposed recommendations are designed to provide high-level guidance for experienced blood bankers, transfusion experts, clinicians, and health authorities. Like with all emergency preparedness, it is always better to have a well-thought-out and trained plan in place, rather than trying to develop a hasty plan in the midst of a disaster. We need to prevent the potential for empty shelves and bleeding patients dying for lack of blood.
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Affiliation(s)
- John B Holcomb
- Center for Injury Science, Division of Acute Care Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Philip C Spinella
- Division of Critical Care, Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Torunn Oveland Apelseth
- Department of Immunology and Transfusion Medicine, Haukeland University Hospital, Bergen, Norway
- Norwegian Armed Forces Medical Service, Sessvollmoen, Norway
| | | | - Jeremy W Cannon
- Division of Traumatology, Surgical Critical Care & Emergency Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Andrew P Cap
- Uniformed Services University, Bethesda, Maryland, USA
- US Army Institute of Surgical Research, San Antonio, Texas, USA
- Ft Sam Houston, San Antonio, Texas, USA
| | - Jason B Corley
- Army Blood Program, US Army Medical Command, JBSA - Fort Sam Houston, San Antonio, Texas, USA
| | - Heidi Doughty
- Academic Department of Military Anaesthesia and Critical Care, Royal Centre for Defence Medicine, Birmingham, UK
| | | | | | | | - Mary J Homer
- Division of Chemical, Biological, Radiological, and Nuclear Countermeasures, Biomedical Advanced Research and Development Authority (BARDA), Office of the Assistant Secretary for Preparedness and Response, Department of Health and Human Services, Washington, District of Columbia, USA
| | - Sarah J Ilstrup
- Department of Laboratory Medicine and Pathology, Intermountain Medical Center, Salt Lake City, Utah, USA
| | - Jan O Jansen
- Division of Acute Care Surgery; and Director, Center for Injury Science, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Donald H Jenkins
- Division of Trauma and Emergency Surgery, UT Health, San Antonio, Texas, USA
| | - Marisa B Marques
- Department of Pathology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Eugene E Moore
- Shock Trauma Center at Denver Health, Department of Surgery, University of Colorado Denver, Denver, Colorado, USA
| | - Paul M Ness
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kevin C O'Connor
- George Washington University School of Medicine and Health Sciences, Medical Faculty Associates, Washington, District of Columbia, USA
| | | | | | - Steve Sloan
- Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Geir Strandenes
- Department of Immunology and Transfusion Medicine, Haukeland University Hospital, Bergen, Norway
- Department of War Surgery and Emergency Medicine, Norwegian Armed Forces Medical Services, Oslo, Norway
| | - James R Stubbs
- Transfusion Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Audra L Taylor
- Armed Services Blood Program, Defense Health Agency, Falls Church, Virginia, USA
| | - Kevin R Ward
- George Washington University School of Medicine and Health Sciences, Medical Faculty Associates, Washington, District of Columbia, USA
| | - Elizabeth Waltman
- BioBridge Global, Inc., San Antonio, Texas, USA
- South Texas Blood & Tissue Center, San Antonio, Texas, USA
| | - Mark Yazer
- University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Tel Aviv University, Tel Aviv, Israel
- University of Southern Denmark, Odense, Denmark
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Davidow EB, Blois SL, Goy-Thollot I, Harris L, Humm K, Musulin S, Nash KJ, Odunayo A, Sharp CR, Spada E, Thomason J, Walton J, Wardrop KJ. Association of Veterinary Hematology and Transfusion Medicine (AVHTM) Transfusion Reaction Small Animal Consensus Statement (TRACS). Part 1: Definitions and clinical signs. J Vet Emerg Crit Care (San Antonio) 2021; 31:141-166. [PMID: 33792171 DOI: 10.1111/vec.13044] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 02/06/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVE To use a systematic, evidence-based consensus process to develop definitions for transfusion reactions in dogs and cats. DESIGN Evidence evaluation of the literature was carried out for identified transfusion reaction types in dogs and cats. Reaction definitions were generated based on synthesis of human and veterinary literature. Consensus on the definitions was achieved through Delphi-style surveys. Draft recommendations were made available through industry specialty listservs and comments were incorporated. RESULTS Definitions with imputability criteria were developed for 14 types of transfusion reactions. CONCLUSIONS The evidence review and consensus process resulted in definitions that can be used to facilitate future veterinary transfusion reaction research.
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Affiliation(s)
| | - Shauna L Blois
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Canada
| | | | | | - Karen Humm
- Department of Clinical Science and Services, The Royal Veterinary College, London, UK
| | - Sarah Musulin
- College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Katherine J Nash
- VetMED Emergency and Specialty Veterinary Hospital, Phoenix, AZ, USA
| | - Adesola Odunayo
- Department of Small Animal Clinical Sciences, University of Tennessee, Knoxville, TN, USA
| | - Claire R Sharp
- School of Veterinary Medicine, Murdoch University, Perth, Australia
| | - Eva Spada
- Department of Veterinary Medicine, University of Milan, Lodi, Italy
| | - John Thomason
- Department of Clinical Sciences, Mississippi State University, Mississippi State, MS, USA
| | | | - K Jane Wardrop
- Veterinary Clinical Sciences, Washington State University, Pullman, WA, USA
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Chen FT, Chen SW, Wu VCC, Hung KC, Chang SH, Ting PC, Chou AH. Impact of massive blood transfusion during adult extracorporeal membrane oxygenation support on long-term outcomes: a nationwide cohort study in Taiwan. BMJ Open 2020; 10:e035486. [PMID: 32580985 PMCID: PMC7312286 DOI: 10.1136/bmjopen-2019-035486] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVES Bleeding is a common problem during adult extracorporeal membranes oxygenation (ECMO) support, requiring blood transfusion for correction of volume depletion and coagulopathy. The goal of this study is to investigate the long-term outcomes for adults under support of ECMO with massive blood transfusion (MBT). DESIGN Retrospective nationwide cohort study. SETTING Data were provided from Taiwan National Health Insurance Research Database (NHIRD). PARTICIPANTS AND INTERVENTIONS Totally 2757 adult patients were identified to receive MBT (red blood cell ≥10 units) during ECMO support from 2000 to 2013 via Taiwan NHIRD. MAIN OUTCOME MEASURES The outcomes included in-hospital major complications/mortality, all-cause mortality, cardiovascular death, newly onset end-stage renal disease and respiratory failure during the follow-up period. RESULTS Patients with MBT had higher in-hospital mortality (65.6% vs 52.1%; OR 1.74; 95% CI 1.53 to 1.98) and all-cause mortality during the follow-up (47.0% vs 35.8%; HR 1.46; 95% CI 1.25 to 1.71) than those without MBT. Not only higher incidences of post ECMO sepsis, respiratory failure and acute kidney injury, but also longer duration of ECMO support, ventilator use and intensive care unit stay were demonstrated in the MBT group. Moreover, a subdistribution hazard model presented higher cumulative of respiratory failure (19.8% vs 16.2%; subdistribution HR 1.36; 95% CI 1.07 to 1.73) for the MBT cohort. Positive dose-dependent relationship was found between the amount of transfused red blood cell product and in-hospital mortality. In the MBT subgroup analysis for the impact of transfused ratio (fresh frozen plasma/packed red blood cell) on in-hospital mortality, ratio ≥1.0 had higher mortality. CONCLUSIONS Patients with MBT during ECMO support had worse long-term outcomes than non-MBT population. The transfused amount of red blood cell had positive dose-dependent effect on in-hospital mortality.
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Affiliation(s)
- Fang-Ting Chen
- Department of Anesthesiology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan
| | - Shao-Wei Chen
- Division of Thoracic and Cardiovascular Surgery, Department of Surgery, Chang Gung Memorial Hospital, Linkou Medical Center, Chang Gung University, Taoyuan City, Taiwan
- Department of Medicine, Chang Gung University, Linkou, Taipei, Taiwan, ROC
| | - Victor Chien-Chia Wu
- Department of Cardiology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
| | - Kuo-Chun Hung
- Division of Thoracic and Cardiovascular Surgery, Department of Surgery, Chang Gung Memorial Hospital, Linkou Medical Center, Chang Gung University, Taoyuan City, Taiwan
| | - Shang-Hung Chang
- Division of Thoracic and Cardiovascular Surgery, Department of Surgery, Chang Gung Memorial Hospital, Linkou Medical Center, Chang Gung University, Taoyuan City, Taiwan
- Department of Medicine, Chang Gung University, Linkou, Taipei, Taiwan, ROC
| | - Pei-Chi Ting
- Department of Anesthesiology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan
| | - An-Hsun Chou
- Department of Anesthesiology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan
- Department of Medicine, Chang Gung University, Linkou, Taipei, Taiwan, ROC
- Department of Anesthesiology, Xiamen Changgung Hospital, Taoyuan, Taiwan
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Abstract
PURPOSE OF REVIEW Although the overall safety of blood transfusion is high, adverse events do still occur. Much research on transfusion reactions was done in nonperioperative patients. Fortunately, important contributions to the perioperative literature have been made in the last several years, specifically in the areas of transfusion-associated circulatory overload and transfusion-related acute lung injury (TRALI). RECENT FINDINGS An unfavorable reaction occurs in as many as 1% of transfusions overall, although the risk of death with each unit given is between 0.002 and 0.0005%. Specific, modifiable factors exist, however, of which the anesthesiologist should be aware. A 2017 article by Clifford et al. is the first to examine risk factors and outcomes for transfusion-associated circulatory overload in a high-risk noncardiac surgery population undergoing anesthesia and surgery. In recent years, limiting plasma donors to males only resulted in an approximately 50% decrease in TRALI. SUMMARY The current article explores new research on the topics of transfusion-associated circulatory overload and transfusion-related lung injury.
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Warner MA, Frank RD, Weister TJ, Smith MM, Stubbs JR, Kor DJ. Higher intraoperative plasma transfusion volumes are associated with inferior perioperative outcomes. Transfusion 2018; 59:112-124. [PMID: 30383908 DOI: 10.1111/trf.14988] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 08/15/2018] [Accepted: 08/21/2018] [Indexed: 12/12/2022]
Abstract
BACKGROUND Intraoperative plasma transfusion is common, yet little is known regarding its effects on perioperative coagulation tests or clinical outcomes. STUDY DESIGN AND METHODS This is a retrospective cohort study of adults receiving intraoperative plasma transfusion at a single center from 2011 to 2015. Relationships between plasma transfusion volume, changes in coagulation test values, and clinical outcomes, including a primary outcome of early postoperative red blood cell (RBC) transfusion, were assessed with multivariable regression analyses. Secondary outcomes included hospital mortality, intensive care unit (ICU)- and hospital-free days, intraoperative RBC transfusions, and estimated blood loss. RESULTS A total of 3393 unique patients were included, with median (IQR) transfusion of 2 (2-4) units. In multivariable analyses, higher plasma volumes were associated with worse outcomes, with each 1 mL/kg increase associated with increased odds for postoperative (1.02 [1.01-1.03], p < 0.001) and intraoperative RBCs (1.17 [1.16-1.19], p < 0.001) and fewer ICU- and hospital-free days (mean difference [95% CI], -0.08 [-0.12 to -0.05], p < 0.001; and -0.09 [-0.13 to -0.06], p < 0.001, respectively). Greater decreases in international normalized ratio (INR) following plasma transfusion were associated with decreased odds of postoperative RBCs (0.35 [0.25-0.47], p < 0.001), decreased mortality (0.50 [0.31-0.83], p = 0.007), and increased mean ICU- (1.31 [0.41-2.21], p = 0.004) and hospital-free days (1.15 [0.19-2.10], p = 0.018). CONCLUSION In patients receiving intraoperative plasma transfusion, higher transfusion volumes were associated with inferior clinical outcomes; however, greater improvements in INR were associated with improved outcomes. Future prospective studies are necessary to better define these relationships and to explore plasma transfusion triggers beyond the limitations of INR.
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Affiliation(s)
- Matthew A Warner
- Division of Critical Care Medicine, Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota
| | - Ryan D Frank
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Timothy J Weister
- Anesthesia Clinical Research Unit, Mayo Clinic, Rochester, Minnesota
| | - Mark M Smith
- Division of Cardiothoracic Anesthesia, Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota
| | - James R Stubbs
- Division of Transfusion Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Daryl J Kor
- Division of Critical Care Medicine, Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota
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