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Lüsebrink E, Lanz H, Binzenhöfer L, Hoffmann S, Höpler J, Kraft M, Gade N, Gmeiner J, Roden D, Saleh I, Hagl C, Nickenig G, Massberg S, Zimmer S, Jamin RN, Scherer C. Heparin-Induced Thrombocytopenia in Patients Suffering Cardiogenic Shock. Crit Care Explor 2024; 6:e1117. [PMID: 39045433 PMCID: PMC11265775 DOI: 10.1097/cce.0000000000001117] [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: 07/25/2024] Open
Abstract
OBJECTIVES Cardiogenic shock (CS) is associated with high mortality. Patients treated for CS mostly require heparin therapy, which may be associated with complications such as heparin-induced thrombocytopenia (HIT). HIT represents a serious condition associated with platelet decline and increased hypercoagulability and remains a poorly researched field in intensive care medicine. Primary purpose of this study was to: 1) determine HIT prevalence in CS, 2) assess the performance of common diagnostic tests for the workup of HIT, and 3) compare outcomes in CS patients with excluded and confirmed HIT. DESIGN Retrospective dual-center study including adult patients 18 years old or older with diagnosed CS and suspected HIT from January 2010 to November 2022. SETTING Cardiac ICU at the Ludwig-Maximilians University hospital in Munich and the university hospital of Bonn. PATIENTS AND INTERVENTIONS In this retrospective analysis, adult patients with diagnosed CS and suspected HIT were included. Differences in baseline characteristics, mortality, neurologic and safety outcomes between patients with excluded and confirmed HIT were evaluated. MEASUREMENTS AND MAIN RESULTS In cases of suspected HIT, positive screening antibodies were detected in 159 of 2808 patients (5.7%). HIT was confirmed via positive functional assay in 57 of 2808 patients, corresponding to a prevalence rate of 2.0%. The positive predictive value for anti-platelet factor 4/heparin screening antibodies was 35.8%. Total in-hospital mortality (58.8% vs. 57.9%; p > 0.999), 1-month mortality (47.1% vs. 43.9%; p = 0.781), and 12-month mortality (58.8% vs. 59.6%; p > 0.999) were similar between patients with excluded and confirmed HIT, respectively. Furthermore, no significant difference in neurologic outcome among survivors was found between groups (Cerebral Performance Category [CPC] score 1: 8.8% vs. 8.8%; p > 0.999 and CPC 2: 7.8% vs. 12.3%; p = 0.485). CONCLUSIONS HIT was a rare complication in CS patients treated with unfractionated heparin and was not associated with increased mortality. Also, HIT confirmation was not associated with worse neurologic outcome in survivors. Future studies should aim at developing more precise, standardized, and cost-effective strategies to diagnose HIT and prevent complications.
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Affiliation(s)
- Enzo Lüsebrink
- Medizinische Klinik und Poliklinik I, Klinikum der Universität München, Munich, Germany
- DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Hugo Lanz
- Medizinische Klinik und Poliklinik I, Klinikum der Universität München, Munich, Germany
- DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Leonhard Binzenhöfer
- Medizinische Klinik und Poliklinik I, Klinikum der Universität München, Munich, Germany
- DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Sabine Hoffmann
- Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Julia Höpler
- Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Marie Kraft
- Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Nils Gade
- Medizinische Klinik und Poliklinik I, Klinikum der Universität München, Munich, Germany
- DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Jonas Gmeiner
- Medizinische Klinik und Poliklinik I, Klinikum der Universität München, Munich, Germany
- DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Daniel Roden
- Medizinische Klinik und Poliklinik I, Klinikum der Universität München, Munich, Germany
- DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Inas Saleh
- Medizinische Klinik und Poliklinik I, Klinikum der Universität München, Munich, Germany
- DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Christian Hagl
- DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
- Herzchirurgische Klinik und Poliklinik, Klinikum der Universität München, Munich, Germany
| | - Georg Nickenig
- Medizinische Klinik und Poliklinik II, Universitätsklinikum Bonn, Bonn, Germany
| | - Steffen Massberg
- Medizinische Klinik und Poliklinik I, Klinikum der Universität München, Munich, Germany
- DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Sebastian Zimmer
- Medizinische Klinik und Poliklinik II, Universitätsklinikum Bonn, Bonn, Germany
| | - Raúl Nicolás Jamin
- Medizinische Klinik und Poliklinik II, Universitätsklinikum Bonn, Bonn, Germany
| | - Clemens Scherer
- Medizinische Klinik und Poliklinik I, Klinikum der Universität München, Munich, Germany
- DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
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Arachchillage DJ, Thachil J, Anderson JAM, Baker P, Poles A, Kitchen S, Laffan M. Diagnosis and management of heparin-induced thrombocytopenia: Third edition. Br J Haematol 2024; 204:459-475. [PMID: 38153164 DOI: 10.1111/bjh.19180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/16/2023] [Accepted: 10/19/2023] [Indexed: 12/29/2023]
Affiliation(s)
- Deepa J Arachchillage
- Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, UK
- Department of Haematology, Imperial College Healthcare NHS Trust, London, UK
| | - Jecko Thachil
- Department of Haematology, Manchester Royal Infirmary, Manchester, UK
| | - Julia A M Anderson
- Department of Haematology, Edinburgh Royal Infirmary, Edinburgh, Scotland
| | - Peter Baker
- Oxford Haemophilia and Thrombosis Centre, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Anthony Poles
- Bristol NHS Blood and Transplant Centre, Bristol, UK
| | - Steve Kitchen
- Department of Haematology, Royal Hallamshire Hospital, Sheffield, UK
| | - Mike Laffan
- Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, UK
- Department of Haematology, Imperial College Healthcare NHS Trust, London, UK
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Nilius H, Cuker A, Haug S, Nakas C, Studt JD, Tsakiris DA, Greinacher A, Mendez A, Schmidt A, Wuillemin WA, Gerber B, Kremer Hovinga JA, Vishnu P, Graf L, Kashev A, Sznitman R, Bakchoul T, Nagler M. A machine-learning model for reducing misdiagnosis in heparin-induced thrombocytopenia: A prospective, multicenter, observational study. EClinicalMedicine 2023; 55:101745. [PMID: 36457646 PMCID: PMC9706528 DOI: 10.1016/j.eclinm.2022.101745] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 10/26/2022] [Accepted: 10/27/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Diagnosing heparin-induced thrombocytopenia (HIT) at the bedside remains challenging, exposing a significant number of patients at risk of delayed diagnosis or overtreatment. We hypothesized that machine-learning algorithms could be utilized to develop a more accurate and user-friendly diagnostic tool that integrates diverse clinical and laboratory information and accounts for complex interactions. METHODS We conducted a prospective cohort study including 1393 patients with suspected HIT between 2018 and 2021 from 10 study centers. Detailed clinical information and laboratory data were collected, and various immunoassays were conducted. The washed platelet heparin-induced platelet activation assay (HIPA) served as the reference standard. FINDINGS HIPA diagnosed HIT in 119 patients (prevalence 8.5%). The feature selection process in the training dataset (75% of patients) yielded the following predictor variables: (1) immunoassay test result, (2) platelet nadir, (3) unfractionated heparin use, (4) CRP, (5) timing of thrombocytopenia, and (6) other causes of thrombocytopenia. The best performing models were a support vector machine in case of the chemiluminescent immunoassay (CLIA) and the ELISA, as well as a gradient boosting machine in particle-gel immunoassay (PaGIA). In the validation dataset (25% of patients), the AUROC of all models was 0.99 (95% CI: 0.97, 1.00). Compared to the currently recommended diagnostic algorithm (4Ts score, immunoassay), the numbers of false-negative patients were reduced from 12 to 6 (-50.0%; ELISA), 9 to 3 (-66.7%, PaGIA) and 14 to 5 (-64.3%; CLIA). The numbers of false-positive individuals were reduced from 87 to 61 (-29.8%; ELISA), 200 to 63 (-68.5%; PaGIA) and increased from 50 to 63 (+29.0%) for the CLIA. INTERPRETATION Our user-friendly machine-learning algorithm for the diagnosis of HIT (https://toradi-hit.org) was substantially more accurate than the currently recommended diagnostic algorithm. It has the potential to reduce delayed diagnosis and overtreatment in clinical practice. Future studies shall validate this model in wider settings. FUNDING Swiss National Science Foundation (SNSF), and International Society on Thrombosis and Haemostasis (ISTH).
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Affiliation(s)
- Henning Nilius
- Department of Clinical Chemistry, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Adam Cuker
- Department of Medicine and Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Sigve Haug
- Mathematical Institute, University of Bern, Bern, Switzerland
- Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics, University of Bern, Bern, Switzerland
| | - Christos Nakas
- Department of Clinical Chemistry, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Laboratory of Biometry, School of Agriculture, University of Thessaly, Volos, Greece
| | - Jan-Dirk Studt
- Division of Medical Oncology and Hematology, University and University Hospital Zurich, Zurich, Switzerland
| | | | - Andreas Greinacher
- Institut für Immunologie und Transfusionsmedizin, Universitätsmedizin Greifswald, Greifswald, Germany
| | - Adriana Mendez
- Department of Laboratory Medicine, Kantonsspital Aarau, Aarau, Switzerland
| | - Adrian Schmidt
- Clinic of Medical Oncology and Hematology, Municipal Hospital Zurich Triemli, Zurich, Switzerland
| | - Walter A. Wuillemin
- Division of Hematology and Central Hematology Laboratory, Cantonal Hospital of Lucerne and University of Bern, Switzerland
| | - Bernhard Gerber
- Clinic of Hematology, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland
| | - Johanna A. Kremer Hovinga
- Department of Hematology and Central Hematology Laboratory, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Prakash Vishnu
- Division of Hematology, CHI Franciscan Medical Group, Seattle, United States
| | - Lukas Graf
- Cantonal Hospital of St Gallen, Switzerland
| | | | - Raphael Sznitman
- ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Tamam Bakchoul
- Centre for Clinical Transfusion Medicine, University Hospital of Tübingen, Tübingen, Germany
| | - Michael Nagler
- Department of Clinical Chemistry, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Corresponding author. Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.
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Carré J, Jourdi G, Gendron N, Helley D, Gaussem P, Darnige L. Recent Advances in Anticoagulant Treatment of Immune Thrombosis: A Focus on Direct Oral Anticoagulants in Heparin-Induced Thrombocytopenia and Anti-Phospholipid Syndrome. Int J Mol Sci 2021; 23:ijms23010093. [PMID: 35008518 PMCID: PMC8744910 DOI: 10.3390/ijms23010093] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 12/17/2021] [Accepted: 12/17/2021] [Indexed: 12/25/2022] Open
Abstract
For more than 10 years, direct oral anticoagulants (DOACs) have been increasingly prescribed for the prevention and treatment of thrombotic events. However, their use in immunothrombotic disorders, namely heparin-induced thrombocytopenia (HIT) and antiphospholipid syndrome (APS), is still under investigation. The prothrombotic state resulting from the autoimmune mechanism, multicellular activation, and platelet count decrease, constitutes similarities between HIT and APS. Moreover, they both share the complexity of the biological diagnosis. Current treatment of HIT firstly relies on parenteral non-heparin therapies, but DOACs have been included in American and French guidelines for a few years, providing the advantage of limiting the need for treatment monitoring. In APS, vitamin K antagonists are conversely the main treatment (+/− anti-platelet agents), and the use of DOACs is either subject to precautionary recommendations or is not recommended in severe APS. While some randomized controlled trials have been conducted regarding the use of DOACs in APS, only retrospective studies have examined HIT. In addition, vaccine-induced immune thrombotic thrombocytopenia (VITT) is now a part of immunothrombotic disorders, and guidelines have been created concerning an anticoagulant strategy in this case. This literature review aims to summarize available data on HIT, APS, and VITT treatments and define the use of DOACs in therapeutic strategies.
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Affiliation(s)
- Julie Carré
- Hematology Department, CHU de Poitiers, 86021 Poitiers, France
- Correspondence:
| | - Georges Jourdi
- Research Center, Montreal Heart Institute, Montreal, QC H1T 1C8, Canada;
- Faculty of Pharmacy, Université de Montréal, Montreal, QC H3T 1J4, Canada
| | - Nicolas Gendron
- Innovative Therapies in Haemostasis, INSERM UMR-S1140, University of Paris, 75006 Paris, France; (N.G.); (P.G.); (L.D.)
- Biosurgical Research Lab (Carpentier Foundation), AP-HP, 75015 Paris, France
- Biological Hematology Department, Assistance Publique-Hôpitaux de Paris-Centre (AP-HP.CUP), 75015 Paris, France;
| | - Dominique Helley
- Biological Hematology Department, Assistance Publique-Hôpitaux de Paris-Centre (AP-HP.CUP), 75015 Paris, France;
- Paris Cardiovascular Research Center, INSERM UMR-S970, 75015 Paris, France
| | - Pascale Gaussem
- Innovative Therapies in Haemostasis, INSERM UMR-S1140, University of Paris, 75006 Paris, France; (N.G.); (P.G.); (L.D.)
- Biological Hematology Department, Assistance Publique-Hôpitaux de Paris-Centre (AP-HP.CUP), 75015 Paris, France;
| | - Luc Darnige
- Innovative Therapies in Haemostasis, INSERM UMR-S1140, University of Paris, 75006 Paris, France; (N.G.); (P.G.); (L.D.)
- Biological Hematology Department, Assistance Publique-Hôpitaux de Paris-Centre (AP-HP.CUP), 75015 Paris, France;
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