1
|
Fu X, Yan D, Huang W, Xie X, Zhou Y, Li H, Wang Y, Pei S, Yao R, Li N. Efficacy of fresh frozen plasma transfusion in decompensated cirrhosis patients with coagulopathy admitted to ICU: a retrospective cohort study from MIMIC-IV database. Sci Rep 2024; 14:4925. [PMID: 38418492 PMCID: PMC10902319 DOI: 10.1038/s41598-024-54379-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 02/12/2024] [Indexed: 03/01/2024] Open
Abstract
We aimed to explore the association between FFP transfusion and outcomes of DC patients with significant coagulopathy. A total of 693 DC patients with significant coagulopathy were analyzed with 233 patients per group after propensity score matching (PSM). Patients who received FFP transfusion were matched with those receiving conventional therapy via PSM. Regression analysis showed FFP transfusion had no benefit in 30-day (HR: 1.08, 95% CI 0.83-1.4), 90-day (HR: 1.03, 95% CI 0.80-1.31) and in-hospital(HR: 1.30, 95% CI 0.90-1.89) mortality, associated with increased risk of liver failure (OR: 3.00, 95% CI 1.78-5.07), kidney failure (OR: 1.90, 95% CI 1.13-3.18), coagulation failure (OR: 2.55, 95% CI 1.52-4.27), respiratory failure (OR: 1.76, 95% CI 1.15-2.69), and circulatory failure (OR: 2.15, 95% CI 1.27-3.64), and even associated with prolonged the LOS ICU (β: 2.61, 95% CI 1.59-3.62) and LOS hospital (β: 6.59, 95% CI 2.62-10.57). In sensitivity analysis, multivariate analysis (HR: 1.09, 95%CI 0.86, 1.38), IPTW (HR: 1.11, 95%CI 0.95-1.29) and CAPS (HR: 1.09, 95% CI 0.86-1.38) showed FFP transfusion had no beneficial effect on the 30-day mortality. Smooth curve fitting demonstrated the risk of liver failure, kidney failure and circulatory failure increased by 3%, 2% and 2% respectively, for each 1 ml/kg increase in FFP transfusion. We found there was no significant difference of CLIF-SOFA and MELD score between the two group on day 0, 3, 7, 14. Compared with the conventional group, INR, APTT, and TBIL in the FFP transfusion group significantly increased, while PaO2/FiO2 significantly decreased within 14 days. In conclusion, FFP transfusion had no beneficial effect on the 30-day, 90-day, in-hospital mortality, was associated with prolonged the LOS ICU and LOS hospital, and the increased risk of liver failure, kidney failure, coagulation failure, respiratory failure and circulatory failure events. However, large, multi-center, randomized controlled trials, prospective cohort studies and external validation are still needed to verify the efficacy of FFP transfusion in the future.
Collapse
Affiliation(s)
- Xiangjie Fu
- Department of Blood Transfusion, Clinical Transfusion Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Danyang Yan
- Department of Blood Transfusion, Clinical Transfusion Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Wanting Huang
- Department of Blood Transfusion, Clinical Transfusion Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xi Xie
- Department of Clinical Laboratory, Hunan Prevention and Treatment Institute for Occupational Diseases, University of South China, Changsha, Hunan, China
| | - Yiran Zhou
- Department of Blood Transfusion, Clinical Transfusion Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Huan Li
- Department of Blood Transfusion, Clinical Transfusion Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yanjie Wang
- Department of Blood Transfusion, Clinical Transfusion Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Siya Pei
- Department of Blood Transfusion, Clinical Transfusion Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Run Yao
- Department of Blood Transfusion, Clinical Transfusion Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
| | - Ning Li
- Department of Blood Transfusion, Clinical Transfusion Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
| |
Collapse
|
2
|
Kwon HJ, Park S, Park YH, Baik SM, Park DJ. Development of blood demand prediction model using artificial intelligence based on national public big data. Digit Health 2024; 10:20552076231224245. [PMID: 38250146 PMCID: PMC10798124 DOI: 10.1177/20552076231224245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 12/15/2023] [Indexed: 01/23/2024] Open
Abstract
Objective Modern healthcare systems face challenges related to the stable and sufficient blood supply of blood due to shortages. This study aimed to predict the monthly blood transfusion requirements in medical institutions using an artificial intelligence model based on national open big data related to transfusion. Methods Data regarding blood types and components in Korea from January 2010 to December 2021 were obtained from the Health Insurance Review and Assessment Service and Statistics Korea. The data were collected from a single medical institution. Using the obtained information, predictive models were developed, including eXtreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM), and category boosting (CatBoost). An ensemble model was created using these three models. Results The prediction performance of XGBoost, LGBM, and CatBoost demonstrated a mean absolute error ranging from 14.6657 for AB+ red blood cells (RBCs) to 84.0433 for A+ platelet concentrate (PC) and a root mean squared error ranging from 18.5374 for AB+ RBCs to 118.6245 for B+ PC. The error range was further improved by creating ensemble models, wherein the department requesting blood was the most influential parameter affecting transfusion prediction performance for different blood products and types. Except for the department, the features that affected the prediction performance varied for each product and blood type, including the number of RBC antibody screens, crossmatch, nationwide blood donations, and surgeries. Conclusion Based on blood-related open big data, the developed blood-demand prediction algorithm can efficiently provide medical facilities with an appropriate volume of blood ahead of time.
Collapse
Affiliation(s)
- Hi Jeong Kwon
- Department of Laboratory Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Sholhui Park
- Department of Laboratory Medicine, Ewha Womans University College of Medicine, Seoul, Korea
| | - Young Hoon Park
- Division of Hematology–Oncology, Department of Internal Medicine, Ewha Womans University Mokdong Hospital, Seoul, Korea
| | - Seung Min Baik
- Division of Critical Care Medicine, Department of Surgery, College of Medicine, Ewha Womans University, Seoul, Korea
| | - Dong Jin Park
- Department of Laboratory Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| |
Collapse
|
3
|
van Haeren MMT, Raasveld SJ, Karami M, Miranda DDR, Mandigers L, Dauwe DF, De Troy E, Pappalardo F, Fominskiy E, van den Bergh WM, Oude Lansink-Hartgring A, van der Velde F, Maas JJ, van de Berg P, de Haan M, Donker DW, Meuwese CL, Taccone FS, Peluso L, Lorusso R, Delnoij TSR, Scholten E, Overmars M, Ivancan V, Bojčić R, de Metz J, van den Bogaard B, de Bakker M, Reddi B, Hermans G, Broman LM, Henriques JPS, Schenk J, Vlaar APJ, Müller MCA. Plasma Transfusion and Procoagulant Product Administration in Extracorporeal Membrane Oxygenation: A Secondary Analysis of an International Observational Study on Current Practices. Crit Care Explor 2023; 5:e0949. [PMID: 37614800 PMCID: PMC10443757 DOI: 10.1097/cce.0000000000000949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/25/2023] Open
Abstract
OBJECTIVES To achieve optimal hemostatic balance in patients on extracorporeal membrane oxygenation (ECMO), a liberal transfusion practice is currently applied despite clear evidence. We aimed to give an overview of the current use of plasma, fibrinogen concentrate, tranexamic acid (TXA), and prothrombin complex concentrate (PCC) in patients on ECMO. DESIGN A prespecified subanalysis of a multicenter retrospective study. Venovenous (VV)-ECMO and venoarterial (VA)-ECMO are analyzed as separate populations, comparing patients with and without bleeding and with and without thrombotic complications. SETTING Sixteen international ICUs. PATIENTS Adult patients on VA-ECMO or VV-ECMO. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Of 420 VA-ECMO patients, 59% (n = 247) received plasma, 20% (n = 82) received fibrinogen concentrate, 17% (n = 70) received TXA, and 7% of patients (n = 28) received PCC. Fifty percent of patients (n = 208) suffered bleeding complications and 27% (n = 112) suffered thrombotic complications. More patients with bleeding complications than patients without bleeding complications received plasma (77% vs. 41%, p < 0.001), fibrinogen concentrate (28% vs 11%, p < 0.001), and TXA (23% vs 10%, p < 0.001). More patients with than without thrombotic complications received TXA (24% vs 14%, p = 0.02, odds ratio 1.75) in VA-ECMO, where no difference was seen in VV-ECMO. Of 205 VV-ECMO patients, 40% (n = 81) received plasma, 6% (n = 12) fibrinogen concentrate, 7% (n = 14) TXA, and 5% (n = 10) PCC. Thirty-nine percent (n = 80) of VV-ECMO patients suffered bleeding complications and 23% (n = 48) of patients suffered thrombotic complications. More patients with than without bleeding complications received plasma (58% vs 28%, p < 0.001), fibrinogen concentrate (13% vs 2%, p < 0.01), and TXA (11% vs 2%, p < 0.01). CONCLUSIONS The majority of patients on ECMO receive transfusions of plasma, procoagulant products, or antifibrinolytics. In a significant part of the plasma transfused patients, this was in the absence of bleeding or prolonged international normalized ratio. This poses the question if these plasma transfusions were administered for another indication or could have been avoided.
Collapse
Affiliation(s)
- Maite M T van Haeren
- Department of Critical Care, Amsterdam University Medical Centers, location Academic Medical Centers, Amsterdam, the Netherlands
| | - Senta Jorinde Raasveld
- Department of Critical Care, Amsterdam University Medical Centers, location Academic Medical Centers, Amsterdam, the Netherlands
| | - Mina Karami
- Department of Cardiology, Amsterdam University Medical Centers, location Academic Medical Centers, Amsterdam, the Netherlands
| | - Dinis Dos Reis Miranda
- Adult Intensive Care Unit, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Loes Mandigers
- Adult Intensive Care Unit, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Cardiology, Catharina Hospital Eindhoven, Eindhoven, The Netherlands
| | - Dieter F Dauwe
- Department of Intensive Care Medicine, Surgical Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium
| | - Erwin De Troy
- Department of Intensive Care Medicine, Surgical Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium
| | - Federico Pappalardo
- Cardiothoracic and Vascular Anesthesia and Intensive Care, AO SS Antonio e Biagio e Cesare Arrigo, Allesandria, Italy
| | - Evgeny Fominskiy
- Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Walter M van den Bergh
- Department of Critical Care, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | | | | | - Jacinta J Maas
- Adult Intensive Care Unit, Leiden University Medical Center, Leiden, the Netherlands
| | - Pablo van de Berg
- Adult Intensive Care Unit, Catharina Hospital Eindhoven, Eindhoven, the Netherlands
| | - Maarten de Haan
- Department of Extracorporeal Circulation, Catharina hospital Eindhoven, the Netherlands
| | - Dirk W Donker
- Intensive Care Center, University Medical Center Utrecht (UMCU), Utrecht, the Netherlands
- Cardiovascular and Respiratory Physiology Group, TechMed Centre, University of Twente, Enschede, the Netherlands
| | - Christiaan L Meuwese
- Adult Intensive Care Unit, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Fabio Silvio Taccone
- Department of Intensive Care, Université Libre de Bruxelles, Hôpital Erasme Bruxelles, Brussels, Belgium
| | - Lorenzo Peluso
- Department of Intensive Care, Université Libre de Bruxelles, Hôpital Erasme Bruxelles, Brussels, Belgium
| | - Roberto Lorusso
- Cardiothoracic Surgery, Heart and Vascular Center, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Intensive Care, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Thijs S R Delnoij
- Department of Intensive Care, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Erik Scholten
- Department of Intensive Care, St. Antonius Hospital, Nieuwegein, the Netherlands
| | - Martijn Overmars
- Department of Intensive Care, St. Antonius Hospital, Nieuwegein, the Netherlands
| | - Višnja Ivancan
- Department of Anesthesia and Intensive care, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Robert Bojčić
- Department of Anesthesia and Intensive care, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Jesse de Metz
- Department of Intensive Care, OLVG, Amsterdam, the Netherlands
| | | | - Martin de Bakker
- Department of Critical Care, Royal Adelaide Hospital, Adelaide, Australia
| | - Benjamin Reddi
- Department of Critical Care, Royal Adelaide Hospital, Adelaide, Australia
| | - Greet Hermans
- Medical Intensive Care Unit, Department of General Internal Medicine, University Hospitals Leuven, Leuven, Belgium
- Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Lars Mikael Broman
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
- ECMO Centre Karolinska, Pediatric Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden
| | - José P S Henriques
- Department of Cardiology, Amsterdam University Medical Centers, location Academic Medical Centers, Amsterdam, the Netherlands
| | - Jimmy Schenk
- Department of Critical Care, Amsterdam University Medical Centers, location Academic Medical Centers, Amsterdam, the Netherlands
- Department of Epidemiology and Data Science, Amsterdam University Medical Centre, location AMC, Amsterdam Public Health, University of Amsterdam, Amsterdam, The Netherlands
- Department of Anesthesiology, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
| | - Alexander P J Vlaar
- Department of Critical Care, Amsterdam University Medical Centers, location Academic Medical Centers, Amsterdam, the Netherlands
| | - Marcella C A Müller
- Department of Critical Care, Amsterdam University Medical Centers, location Academic Medical Centers, Amsterdam, the Netherlands
| |
Collapse
|
4
|
La Mura V, Bitto N, Tripodi A. Rational hemostatic management in cirrhosis: from old paradigms to new clinical challenges. Expert Rev Hematol 2022; 15:1031-1044. [PMID: 36342412 DOI: 10.1080/17474086.2022.2144217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
INTRODUCTION Patients with cirrhosis are at risk of both thrombotic and hemorrhagic events. Traditional hemostatic tests are inadequate to assess the complex and fragile balance of hemostasis in this setting, especially in advanced stages of disease such as decompensated cirrhosis or acute on chronic liver failure (ACLF). Furthermore, the indiscriminate use of pro-hemostatic agents for prophylaxis and treatment of bleeding episodes is still debated and often contraindicated. Alongside, splanchnic, and peripheral thrombotic events are frequent in this population and require management that involves a careful balance between risks and benefits of antithrombotic therapy. AREAS COVERED This review aims to address the state of the art on the clinical management of the hemostatic balance of cirrhosis in terms of established knowledge and future challenges. EXPERT OPINION The old paradigm of cirrhosis as a naturally anticoagulated condition has been challenged by more sophisticated global tests of hemostasis. Integrating this information in the clinical decision-making is still challenging for physicians and experts in hemostasis.
Collapse
Affiliation(s)
- Vincenzo La Mura
- Fondazione I.R.C.C.S. Ca' Granda, Ospedale Maggiore Policlinico, Angelo Bianchi Bonomi Hemophilia and Thrombosis Center, Milan, Italy.,Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| | - Niccolò Bitto
- Fondazione I.R.C.C.S. Ca' Granda, Ospedale Maggiore Policlinico, Angelo Bianchi Bonomi Hemophilia and Thrombosis Center, Milan, Italy.,Department of Biomedical Sciences for Health, Università degli studi di Milano, Milan, Italy
| | - Armando Tripodi
- Fondazione I.R.C.C.S. Ca' Granda, Ospedale Maggiore Policlinico, Angelo Bianchi Bonomi Hemophilia and Thrombosis Center, Milan, Italy
| |
Collapse
|
5
|
Kahn S, Chegondi M, Nellis ME, Karam O. Overview of Plasma and Platelet Transfusions in Critically Ill Children. Front Pediatr 2020; 8:601659. [PMID: 33282804 PMCID: PMC7691248 DOI: 10.3389/fped.2020.601659] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 10/21/2020] [Indexed: 01/19/2023] Open
Abstract
Critically ill children are a unique population who frequently receive plasma and platelet transfusions for both active bleeding and mitigation of bleeding risk. While these products are frequently administered, transfusion indications in this population remain unclear, and practice varies across institutions and providers. In this manuscript, we will outline the current evidence regarding plasma and platelet transfusions for hemostasis in the pediatric intensive care setting. For both products, we will describe the product composition, epidemiology, and product indications and discuss the potential risks and benefits involved with the transfusion. We will also discuss knowledge gaps and future areas of research.
Collapse
Affiliation(s)
- Stacie Kahn
- Division of Pediatric Critical Care Medicine, NewYork-Presbyterian, Morgan Stanley Children's Hospital, New York, NY, United States
| | - Madhuradhar Chegondi
- Division of Pediatric Critical Care Medicine, Stead Family Children's Hospital- Carver College of Medicine, University of Iowa, Iowa, IA, United States
| | - Marianne E Nellis
- Pediatric Critical Care Medicine, NewYork-Presbyterian Hospital - Weill Cornell Medicine, New York, NY, United States
| | - Oliver Karam
- Division of Pediatric Critical Care Medicine, Children's Hospital of Richmond at Virginia Commonwealth University, Richmond, VA, United States
| |
Collapse
|