ISSN: 2155-9880
+44 1300 500008
Insil Jang
University of Ulsan, South Korea
Posters & Accepted Abstracts: J Clin Exp Cardiology
Background: Mechanical valve replacement is associated with positive outcomes, but patients must undergo life-long anticoagulation therapy with warfarin, which carries a significant risk of bleeding complications. Therefore, systematic and continuous assessment and supervision of warfarin treatment is essential in such patients, and approaches that can predict the risk of bleeding in advance are required. Objective: This study aimed to develop a classification tool to predict bleeding events in Korean patients with mechanical valve replacement, undergoing oral warfarin therapy. Methods: This retrospective cohort study included 2453 patients followed-up for at least one year after valve replacement surgery, between January 2003 and December 2012. Discriminant analysis was used to assess potential bleeding risk factors out of 31 patientrelated and disease-related descriptors. Prediction capability of the descriptors was evaluated based on accuracy, sensitivity, specificity, positive predictive value, and negative predictive value. Results: A total of 13 descriptors including general-, clinical-, and medication-related risk factors were selected as suitable predictors for bleeding risk. A novel classification tool was developed using these risk factors, and evaluated for accuracy (91.5%), sensitivity (80.2%), and specificity (95.2%). Conclusions: The classification tool developed in this study can be reliably used in a clinical context to predict bleeding events in Korean patients with mechanical valve replacement undergoing oral warfarin therapy.
Insil Jang has worked as a staff RN and Clinical Nurse Specialist of Cardiovascular Surgery part for 13 years in Asan Medical Center. She has received a PhD and became an Assistant Professor at Department of Nursing in University of Ulsan. Her speciality is Adult Health Nursing. Her research interests include cardiovascular patient care, clilnical nurse specialists and nursing management. She has already published several papers.
Email: happyinsili@gmail.com