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Dive into the research topics where Jogin R. Wu is active.

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Featured researches published by Jogin R. Wu.


The Annals of Thoracic Surgery | 2010

Acquired von Willebrand Syndrome in Continuous-Flow Ventricular Assist Device Recipients

Sheri Crow; Dong Chen; Carmelo A. Milano; William Thomas; Lyle D. Joyce; Valentino Piacentino; Riti Sharma; Jogin R. Wu; Gowthami M. Arepally; Dawn E. Bowles; Joseph G. Rogers; Nestor Villamizar-Ortiz

BACKGROUND Bleeding is a major cause of morbidity in recipients of continuous-flow left ventricular assist devices (CF-LVAD). A better understanding of the impact of CF-LVAD support on the hemostatic profile is necessary to establish better strategies for anticoagulation therapy and risk assessment for bleeding complications. A prospective multicenter study was conducted to characterize von Willebrand factor (vWF) profiles in patients undergoing CF-LVAD implantation. METHODS Blood samples were collected before and after CF-LVAD implantation from 37 patients between July 2008 and April 2009 at Duke University and the University of Minnesota. Blood samples were analyzed for vWF, platelet and collagen-binding ability. The presence of high-molecular-weight (HMW) vWF multimers were detected through gel electrophoresis, and deficiency was graded on a scale of 0 (normal) to 3 (severe loss). RESULTS All 37 patients exhibited significant loss of HMW vWF multimers within 30 days of CF-LVAD implantation. Ten of the 37 patients experienced bleeding complications after CF-LVAD placement. CONCLUSIONS All CF-LVAD recipients had acquired von Willebrand syndrome after LVAD placement, demonstrated by reduced or absent HMW vWF multimer levels. However, not all recipients had bleeding complications. These findings suggest that loss of HMW vWF multimers alone cannot predict bleeding risk. Further refinement of laboratory techniques and a larger follow-up is required to identify risk factors for bleeding in CF-LVAD recipients.


Thrombosis and Haemostasis | 2009

Effects of tissue factor, thrombomodulin and elevated clotting factor levels on thrombin generation in the calibrated automated thrombogram

Kellie R. Machlus; Emily Colby; Jogin R. Wu; Gary G. Koch; Nigel S. Key; Alisa S. Wolberg

Elevated procoagulant levels have been correlated with increased thrombin generation in vitro and with increased venous thromboembolism (VTE) risk in epidemiological studies. Thrombin generation tests are increasingly being employed as a high throughput method to provide a global measure of procoagulant activity in plasma samples. The objective of this study was to distinguish the effects of assay conditions [tissue factor (TF), thrombomodulin, platelets/lipids] and factor levels on thrombin generation parameters, and determine the conditions and parameters with the highest sensitivity and specificity for detecting elevated factor levels. Thrombin generation was measured using calibrated automated thrombography (CAT) in corn trypsin inhibitor (CTI)-treated platelet-free plasma (PFP) and platelet-rich plasma (PRP). Statistical analysis was performed using logarithms of observed values with analysis of variance that accounted for experiment and treatment. The relative sensitivity of lag time (LT), time to peak (TTP), peak height and endogenous thrombin potential (ETP) to elevated factors XI, IX, VIII, X, and prothrombin was as follows: PFP initiated with 1 pM TF > PFP initiated with 5 pM TF > PRP initiated with 1 pM TF. For all conditions, inclusion of thrombomodulin prolonged the LT and decreased the peak and ETP; however, addition of thrombomodulin did not increase the ability of CAT to detect elevated levels of individual procoagulant factors. In conclusion, CAT conditions differentially affected the sensitivity of thrombin generation to elevated factor levels. Monitoring the peak height and/or ETP following initiation of clotting in PFP with 1 pM TF was most likely to detect hypercoagulability due to increased procoagulant factor levels.


Thrombosis Research | 2010

Multicenter evaluation of a new quantitative highly sensitive D-dimer assay, the Hemosil® D-dimer HS 500, in patients with clinically suspected venous thromboembolism

Cristina Legnani; Michela Cini; Dimitrios Scarvelis; Pierre Toulon; Jogin R. Wu; Gualtiero Palareti

INTRODUCTION D-dimer testing is widely used in conjunction with clinical pretest probability (PTP) for venous thromboembolism (VTE) exclusion. We report on a multicenter evaluation of a new, automated, latex enhanced turbidimetric immunoassay [HemosIL D-Dimer HS 500, Instrumentation Laboratory (IL)]. MATERIALS AND METHODS 747 consecutive outpatients with suspected proximal deep vein thrombosis (DVT, n=401) or pulmonary embolism (PE, n=346) were evaluated at four university hospitals in a management study with a 3 month follow-up. Samples were tested at each center using the new D-dimer assay on an automated coagulation analyzer [ACL TOP (IL)], with clinical cut-off for VTE at 500 ng/mL (FEU). RESULTS The sensitivity and negative predictive value (NPV) were 100% for all PTP subgroups (no false negative results); for both sensitivity and NPV the lower limit of the 95% CI in patients with moderate/low PTP was higher than 95%. The overall specificity was 45.1% (95%CI: 41.1-49.3%). Higher specificity value was recorded in the low PTP subgroup [49.2% (95%CI: 41.7-56.7)]. No significant differences were found between patients suspected of having DVT or PE; sensitivity and NPV were 100%. The reproducibility of the assay was good, being the total CVs% less than 10% for D-dimer concentration near the clinical cut-off. CONCLUSIONS The new, highly sensitive D-dimer assay proved to be accurate when used for VTE diagnostic work-up in outpatients. Based on 100% sensitivity and NPV and lower limit of the 95% CI higher than 95%, the assay can be used as a stand-alone test in patients with non high PTP.


Blood Coagulation & Fibrinolysis | 2008

Comparison of optical and mechanical clot detection for routine coagulation testing in a large volume clinical laboratory.

Bing Bai; Douglas J. Christie; Robert T. Gorman; Jogin R. Wu

Hemostasis instrumentation has rapidly advanced and laboratories are demanding fully automated coagulation systems. Two distinct technological families exist based on optical and mechanical clot detection methodologies. Until now, there have been no comprehensive studies to determine whether one methodology is superior to the other. In order to answer this question, we conducted a large clinical study performing standard coagulation testing on more than 2000 clinical samples randomly chosen from a high-volume laboratory in a tertiary care hospital. Results demonstrated that photo-optical clot detection and electro-mechanical detection systems were highly correlated (r-squared values ≥ 0.96 for all assays) Correlation between the two clot detection systems was maintained even when measuring turbid samples (r-squared values ≥ 0.98 for all assays).


Journal of Thrombosis and Haemostasis | 2008

HemosIL D‐dimer HS assay in the diagnosis of deep vein thrombosis and pulmonary embolism. Results of a multicenter management study

Dimitrios Scarvelis; Gualtiero Palareti; Pierre Toulon; Philip S. Wells; Jogin R. Wu

1 Carrier M, Le Gal G, Bates SM, Anderson DR, Wells PS. D-dimer testing is useful to exclude deep vein thrombosis in elderly outpatients. J Thromb Haemost 2008; 6: 1072–6. 2 Kearon C. Natural history of venous thromboembolism. Circulation 2003; 107: I22–30. 3 Fedullo PF, Tapson VF. The evaluation of suspected pulmonary embolism. N Engl J Med 2003; 349: 1247–56. 4 Oudega R, Moons KGM, Hoes AW. Ruling out deep venous thrombosis in primary care – a simple diagnostic algorithm including D-dimer testing. Thromb Haemost 2005; 94: 200–5. 5 Oudega R, Hoes AW, Moons KGM. The Wells rule does not adequately rule out deep venous thrombosis in primary care patients. Ann Intern Med 2005; 143: 100–7. 6 Toll DB, Oudega R, Vergouwe Y, Moons KGM, Hoes AW. A new diagnostic rule for deep vein thrombosis: safety and efficiency in clinically relevant subgroups. Fam Pract 2008; 25: 3–8. 7 Wells PS, Hirsh J, Anderson DR, Lensing AWA, Foster G, Kearon C, Weitz J, D Ovidio R, Cogo A, Prandoni P. Accuracy of clinicalassessment of deep-vein thrombosis. Lancet 1995; 345: 1326–30. 8 Wells PS, Anderson DR, Rodger M, Forgie M, Kearon C, Dreyer J, Kovacs G, Mitchell M, Lewandowski B, Kovacs MJ. Evaluation of D-dimer in the diagnosis of suspected deep-vein thrombosis. N Engl J Med 2003; 349: 1227–35. 9 Bleeker SE, Moll HA, Steyerberg EW, Donders ART, Derksen-Lubsen G, Grobbee DE, Moons KGM. External validation is necessary in prediction research: a clinical example. J Clin Epidemiol 2003; 56: 826– 32. 10 Reilly BM, Evans AT. Translating clinical research into clinical practice: impact of using prediction rules tomake decisions.Ann InternMed 2006; 144: 201–9. 11 Oger E. Incidence of venous thromboembolism: a community-based study in Western France. EPI-GETBP Study Group. Groupe d Etude de la Thrombose de Bretagne Occidentale. Thromb Haemost 2000; 83: 657–60. 12 Silverstein MD, Heit JA, Mohr DN, Petterson TM, O Fallon WM, Melton LJ. Trends in the incidence of deep vein thrombosis and pulmonary embolism – a 25-year population-based study.Arch InternMed 1998; 158: 585–93.


Thrombosis Research | 2012

Evaluation of the Stratus CS Acute Care D-dimer assay (DDMR) using the Stratus CS STAT Fluorometric Analyzer: a prospective multisite study for exclusion of pulmonary embolism and deep vein thrombosis.

Robert C. Gosselin; Jogin R. Wu; Kandice Kottke-Marchant; Dirk Peetz; Douglas J. Christie; Heidrun Muth; Edward A. Panacek

BACKGROUND D-dimer testing is an integral part of the diagnostic algorithm in excluding patients with venous thromboembolism. In this study, we prospectively evaluated the Stratus DDMR D-dimer test in patients suspected of pulmonary embolism (PE) and deep vein thrombosis (DVT). METHODS Patients suspected of venous thromboembolism were prospectively enrolled at four different clinical sites, with sodium citrate and lithium heparin plasma was tested using the DDMR D-dimer test on the Stratus CS analyzer. RESULTS 1,012 patients were enrolled for analysis, with 85/603 (14.1%) patients with PE and 80/443 (18.1%) with DVT, and four of the patients (0.4%) with PE and DVT. For the samples collected in 3.2% sodium citrate, the DDMR method had a sensitivity, specificity, and negative predictive value for VTE of 98.0%, 38.1%, and 99.1%, respectively. For the samples collected in lithium heparin, the DDMR method had a sensitivity, specificity, and negative predictive value (NPV) for VTE of 98.9%, 28.8%, and 99.4%, respectively. In PE, DDMR testing on citrate plasma had a sensitivity, specificity, and NPV of 98.8%, 39.5%, and 99.6%, respectively, while heparin samples had a sensitivity, specificity, and NPV for PE of 98.0%, 28.4%, and 99.1%, respectively. In DVT, citrate plasma had a sensitivity, specificity, and NPV for DVT of 97.5%, 32.0%, and 98.3%, respectively, while heparin samples had a sensitivity, specificity, and NPV for DVT of 100%, 27.8%, and 100%, respectively. CONCLUSION The Stratus CS DDMR D-dimer can be used in those patients with non-high clinical pre-test probability for the exclusion of PE.


Biochemistry | 2002

Role of Procoagulant Lipids in Human Prothrombin Activation. 1. Prothrombin Activation by Factor Xa in the Absence of Factor Va and in the Absence and Presence of Membranes

Jogin R. Wu; Chaoming Zhou; Rinku Majumder; Daniel D. Powers; Gabriel E. Weinreb; Barry R. Lentz


Thrombosis Research | 2006

Hemostatic activation in a chemically induced rat model of severe hemolysis and thrombosis

Deborah A. Lewis; Abraham Nyska; Anil Potti; Heather Hoke; Keith F. Klemp; Sandra M. Ward; Shyamal D. Peddada; Jogin R. Wu; Thomas L. Ortel


Thrombosis Research | 2007

Clinical evaluation of a new functional test for detection of activated protein C resistance (Pefakit® APC-R Factor V Leiden) at two centers in Europe and the USA

Reto Schöni; Peter Quehenberger; Jogin R. Wu; Marianne Wilmer


Blood | 2007

ADAMTS13 Antigen, Activity, Autoantibody and ADAMTS13/fXI Complex Levels May Be Useful Diagnostic Biomarkers for Patients with Sickle Cell Disease.

Hugh J.L. Fryer; Nicholas Grafos; Enriqueta R. Guinto; Jogin R. Wu; Bing Bai; Robert S. Greenfield

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Sandra M. Ward

National Institutes of Health

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Shyamal D. Peddada

National Institutes of Health

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