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Hamiko M, Gerdes L, Silaschi M, Seidel H, Westhofen P, Kruppenbacher J, Hertfelder HJ, Oldenburg J, Bakhtiary F, Velten M, Oezkur M, Duerr GD. Investigation of von Willebrand factor multimer abnormalities before and after aortic valve replacement using the Hydragel-5 assay. Thromb Res 2024; 241:109094. [PMID: 38991494 DOI: 10.1016/j.thromres.2024.109094] [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: 02/08/2024] [Revised: 06/24/2024] [Accepted: 07/05/2024] [Indexed: 07/13/2024]
Abstract
BACKGROUND Severe aortic stenosis (sAS) is associated with acquired von Willebrand syndrome (AVWS) by loss of high-molecular-weight multimers (HMWM) of von Willebrand factor (VWF), potentially resulting in perioperative bleeding. Analysis of VWF multimers remains challenging. Recently, the new, rapid Hydragel 5 assay has been developed, using electrophoretic protein separation for dividing VWF-multimers into low (LMWM), intermediate (IMWM), and HMWM, the hemostatically active part of VWF. Here, we evaluated its impact on predicting blood loss in presence of AVWS after surgical aortic valve replacement (SAVR). METHODS We prospectively examined 52 patients (age: 68 ± 7 years; 54 % male) admitted to SAVR. They were divided in two groups (A: normal VWF, n = 28; B: abnormal VWF, n = 24, defined as VWF-activity/antigen (VWF:Ac/Ag)-ratio < 0.7 and/or HMWM loss). Blood samples and echocardiographic data were collected before, seven days and three months after SAVR. Blood loss and transfusions were recorded. RESULTS Baseline characteristics and clinical data were similar in both groups. HMWM loss was present in 38.5 % of all patients. HMWM, the VWF:Ac/Ag- and HMWM/(IMWM+LMWM)-ratios were significantly decreased preoperatively in group B but normalized after SAVR. Bleeding, re-thoracotomy and transfusion rates were comparable. HMWM loss was inversely correlated with the peak aortic gradient (Pmax) and positively with the aortic valve area (AVA), while HMWM/(IMWM+LMWM)-ratio negatively correlated with the mean aortic gradient (Pmean). CONCLUSION HMWM and HMWM/(IMWM+LMWM)-ratio inversely correlate with severity of AS and normalize after SAVR. The Hydragel-5 assay's might be valuable for routine diagnostics to assess bleeding risk and postoperative normalization of AS and VWF abnormalities in SAVR patients.
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Affiliation(s)
- Marwan Hamiko
- Department of Cardiac Surgery, University Hospital Bonn, Bonn, Germany
| | - Lena Gerdes
- Department of Cardiac Surgery, University Hospital Bonn, Bonn, Germany
| | - Miriam Silaschi
- Department of Cardiac Surgery, University Hospital Bonn, Bonn, Germany
| | - Holger Seidel
- Center for Bleeding Disorders and Transfusion Medicine, (CBT), Bonn, Germany
| | - Philipp Westhofen
- Center for Bleeding Disorders and Transfusion Medicine, (CBT), Bonn, Germany
| | | | - Hans-Joerg Hertfelder
- Center for Bleeding Disorders and Transfusion Medicine, (CBT), Bonn, Germany; Institute of Experimental Hematology and Transfusion Medicine, University Hospital Bonn, Bonn, Germany
| | - Johannes Oldenburg
- Institute of Experimental Hematology and Transfusion Medicine, University Hospital Bonn, Bonn, Germany
| | - Farhad Bakhtiary
- Department of Cardiac Surgery, University Hospital Bonn, Bonn, Germany
| | - Markus Velten
- Department of Anesthesiology and Pain Management, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Mehmet Oezkur
- Department of Cardiovascular Surgery, University Medical Center, Johannes-Gutenberg University, Mainz, Germany
| | - Georg Daniel Duerr
- Department of Cardiovascular Surgery, University Medical Center, Johannes-Gutenberg University, Mainz, Germany
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Steiner-Gager GM, Rogozarski J, Kronberger C, Dizdarevic AM, Quehenberger P, Schernthaner R, Loewe C, Reider L, Strassl A, Kovacevic Miljevic K, Jilma B, Ay C, Königsbrügge O, Postula M, Hengstenberg C, Siller-Matula JM. Prediction model for leaflet thrombosis in patients undergoing transcatheter aortic valve implantation: the EFFORT study. Clin Res Cardiol 2024:10.1007/s00392-024-02486-3. [PMID: 39012508 DOI: 10.1007/s00392-024-02486-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Accepted: 06/24/2024] [Indexed: 07/17/2024]
Abstract
BACKGROUND Leaflet thrombosis (LT) is a multifaceted and underexplored condition that can manifest following transcatheter aortic valve implantation (TAVI). The objective of this study was to formulate a prediction model based on laboratory assessments and clinical parameters, providing additional guidance and insight into this relatively unexplored aspect of post-TAVI complications. METHODS The present study was an observational prospective hypothesis-generating study, including 101 patients who underwent TAVI and a screening for LT (the primary endpoint) by multidetector computed tomography (MDCT). All images were acquired on a third-generation dual-source CT system. Levels of von Willebrand factor (vWF) activity, hemoglobin (Hb), and lactate dehydrogenase (LDH) were measured among other parameters. A predictive score utilizing binary logistic regression, Kaplan-Meier time-to-event analysis, and receiver operating characteristics (ROC) analysis was established. RESULTS LT (11 subclinical and 2 clinical) was detected in 13 of 101 patients (13%) after a median time to screening by MDCT of 105 days (IQR, 98-129 days). Elevated levels of vWF activity (> 188%) pre-TAVI, decreased Hb values (< 11.9 g/dL), as well as increased levels of LDH (> 312 U/L) post-TAVI and absence of oral anticoagulation (OAC) were found in patients with subsequent LT formation as compared to patients without LT. The established EFFORT score ranged from - 1 to 3 points, with an increased probability for LT development in patients with ≥ 2 points (85.7% of LT cases) vs < 2 points (14.3% of LT cases; p < 0.001). Achieving an EFFORT score of ≥ 2 points was found to be significantly associated with a 10.8 times higher likelihood of developing an LT (p = 0.001). The EFFORT score has an excellent c-statistic (area under the curve (AUC) = 0.89; 95% CI 0.74-1.00; p = 0.001) and a high negative predictive value (98%). CONCLUSION An EFFORT score might be a helpful tool to predict LT development and could be used in risk assessment, if validated in confirmatory studies. Therefore, the score has the potential to guide the stratification of individuals for the planning of subsequent MDCT screenings.
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Affiliation(s)
- Gloria M Steiner-Gager
- Department of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Jovan Rogozarski
- Department of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Christina Kronberger
- Department of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Al Medina Dizdarevic
- Department of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Peter Quehenberger
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Ruediger Schernthaner
- Department of Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
- Central Radiology Institute, Diagnostic and Interventional Radiology, Klinik Landstraße, Vienna, Austria
| | - Christian Loewe
- Department of Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Lukas Reider
- Department of Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Andreas Strassl
- Department of Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | | | - Bernd Jilma
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Cihan Ay
- Department of Medicine I, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria
| | - Oliver Königsbrügge
- Department of Medicine I, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria
| | - Marek Postula
- Department of Experimental and Clinical Pharmacology, Centre for Preclinical Research and Technology (CEPT), Medical University of Warsaw, Warsaw, Poland
| | - Christian Hengstenberg
- Department of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Jolanta M Siller-Matula
- Department of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
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