Elin N Opheim1,2, Torunn O Apelseth2,3, Simon J Stanworth4, Geir E Eide5,6, Tor Hervig1,2. 1. Department of Clinical Science, University of Bergen, Norway. 2. Department of Immunology and Transfusion Medicine, Haukeland University Hospital, Bergen, Norway. 3. Laboratory of Clinical Biochemistry, Haukeland University Hospital, Bergen, Norway. 4. NHS Blood and Transplant/Oxford University Hospitals NHS Trust, "John Radcliffe" Hospital, Oxford, United Kingdom. 5. Department of Global Public Health and Primary Care, University of Bergen, Norway. 6. Centre for Clinical Research, Haukeland University Hospital, Bergen, Norway.
Abstract
BACKGROUND: In thrombocytopenic patients better assessment of bleeding risk than that provided by platelet count alone is required. Multiplate® aggregometry and thromboelastography (TEG) could be used, but information on their role in such patients is limited. The primary aim of this study was to investigate the feasibility of Multiplate® analyses in patients with haematological malignancies. A secondary aim was to explore whether a multiple logistic regression model combining Multiplate®, TEG, clinical and laboratory variables was associated with risk of bleeding. MATERIALS AND METHODS: This was an exploratory, prospective observational study of thrombocytopenic patients with haematological malignancies. Total platelet count (TPC), white blood cell count, C-reactive protein (CRP) level, temperature and bleeding status were recorded daily. TEG and Multiplate® analyses with four agonists were performed on weekdays. RESULTS: Ten patients were enrolled into the study. The median number of days in a study period was 21. Bleeding was observed on 64 of 298 study days. TPC <20×109/L and <10×109/L occurred on 119 and 25 days, respectively. When TPC was <33×109/L, many samples showed no aggregation, regardless of bleeding status. Despite this, the odds of World Health Organization (WHO) grade 2 bleeding decreased significantly as aggregation increased and Multiplate® had a negative predictive value (NPV) of 96% and a positive predictive value (PPV) of 19% for significant bleeding. In the multiple logistic regression model collagen-activated Multiplate® aggregation, TEG angle, TEG reaction time and CRP significantly affected the odds of WHO grade 2 bleeding. The combined model had a NPV of 99% and a PPV of 19%. DISCUSSION: Our findings suggest that the markers of platelet function and haemostasis provided by Multiplate® aggregometry and TEG may add information to support prediction of bleeding, although platelet count still remains the most accessible analysis for routine testing.
BACKGROUND: In thrombocytopenicpatients better assessment of bleeding risk than that provided by platelet count alone is required. Multiplate® aggregometry and thromboelastography (TEG) could be used, but information on their role in such patients is limited. The primary aim of this study was to investigate the feasibility of Multiplate® analyses in patients with haematological malignancies. A secondary aim was to explore whether a multiple logistic regression model combining Multiplate®, TEG, clinical and laboratory variables was associated with risk of bleeding. MATERIALS AND METHODS: This was an exploratory, prospective observational study of thrombocytopenicpatients with haematological malignancies. Total platelet count (TPC), white blood cell count, C-reactive protein (CRP) level, temperature and bleeding status were recorded daily. TEG and Multiplate® analyses with four agonists were performed on weekdays. RESULTS: Ten patients were enrolled into the study. The median number of days in a study period was 21. Bleeding was observed on 64 of 298 study days. TPC <20×109/L and <10×109/L occurred on 119 and 25 days, respectively. When TPC was <33×109/L, many samples showed no aggregation, regardless of bleeding status. Despite this, the odds of World Health Organization (WHO) grade 2 bleeding decreased significantly as aggregation increased and Multiplate® had a negative predictive value (NPV) of 96% and a positive predictive value (PPV) of 19% for significant bleeding. In the multiple logistic regression model collagen-activated Multiplate® aggregation, TEG angle, TEG reaction time and CRP significantly affected the odds of WHO grade 2 bleeding. The combined model had a NPV of 99% and a PPV of 19%. DISCUSSION: Our findings suggest that the markers of platelet function and haemostasis provided by Multiplate® aggregometry and TEG may add information to support prediction of bleeding, although platelet count still remains the most accessible analysis for routine testing.
Authors: Marco Ranucci; Ekaterina Baryshnikova; Giorgio Soro; Andrea Ballotta; Donatella De Benedetti; Daniela Conti Journal: Ann Thorac Surg Date: 2011-01 Impact factor: 4.330
Authors: Pieter F van der Meer; Paula F Ypma; Nan van Geloven; Joost A van Hilten; Rinie J van Wordragen-Vlaswinkel; Okke Eissen; Jaap J Zwaginga; Michael Trus; Erik A M Beckers; Peter Te Boekhorst; Alan Tinmouth; Yulia Lin; Cyrus Hsia; David Lee; Philip J Norris; Raymond P Goodrich; Anneke Brand; Tor Hervig; Nancy M Heddle; Johanna G van der Bom; Jean-Louis H Kerkhoffs Journal: Blood Date: 2018-05-17 Impact factor: 22.113
Authors: Elisabeth Mahla; Florian Prueller; Sylvia Farzi; Gudrun Pregartner; Reinhard B Raggam; Elisabeth Beran; Wolfgang Toller; Andrea Berghold; Udaya S Tantry; Paul A Gurbel Journal: Ann Thorac Surg Date: 2016-07-01 Impact factor: 4.330
Authors: Simon J Stanworth; Lise J Estcourt; Gillian Powter; Brennan C Kahan; Claire Dyer; Louise Choo; Lekha Bakrania; Charlotte Llewelyn; Timothy Littlewood; Richard Soutar; Derek Norfolk; Adrian Copplestone; Neil Smith; Paul Kerr; Gail Jones; Kavita Raj; David A Westerman; Jeffrey Szer; Nicholas Jackson; Peter G Bardy; Dianne Plews; Simon Lyons; Linley Bielby; Erica M Wood; Michael F Murphy Journal: N Engl J Med Date: 2013-05-09 Impact factor: 91.245
Authors: L Kazianka; C Drucker; C Skrabs; W Thomas; T Melchardt; S Struve; M Bergmann; P B Staber; E Porpaczy; C Einberger; M Heinz; A Hauswirth; M Raderer; I Pabinger; R Thalhammer; A Egle; C-M Wendtner; G Follows; G Hoermann; P Quehenberger; B Jilma; U Jaeger Journal: Leukemia Date: 2016-11-02 Impact factor: 11.528