Assessing Importance of Dietary Data in Anticoagulation Treatment - PowerPoint PPT Presentation
Assessing Importance of Dietary Data in Anticoagulation Treatment Peter Brnnum Nielsen M.Sc. BME, PhD fellow Department of Health Science and Tech. Aalborg University Introduction Oral Anticoagulation Methods and data Modelling
Assessing Importance of Dietary Data in Anticoagulation Treatment Peter Brønnum Nielsen M.Sc. BME, PhD fellow Department of Health Science and Tech. Aalborg University
• Introduction Oral Anticoagulation • Methods and data • Modelling • Results Treatment (OAT) • People with increased risk of thrombosis o Mechanical heart valve replacement o Deep Venous Thrombosis (DVT) o Atrial fibrillation o Pulmonary embolism • Current patient figures o DK 100.000 patients 1 (2% of population) o Expected to rise 1. Holm T, Lassen JF., Ugeskr Laeger , 2003
Treatment • Introduction • Methods and data management • Modelling • Results • Management of daily oral intake of vitamin K antagonists (warfarin) • Monitoring of INR - International Normalized Ratio • Beneficial balance between clotting and tendency to bleed 2 • Affected by dietary vitamin K • Slow-acting physiological system 2. Stafford, DW., J Thromb Haemost , 2005
• Introduction Patient management • Methods and data • Modelling • Results • Conventional treatment o Physician managed INR • Partly managed by patient o Patient self-testing o Patient self-management • Patients have to Vitamin K comprehend: Warfarin
• Introduction Self-management and • Methods and data • Modelling • Results self-testing of OAT • Benefits o Cost-effectiveness o Clinical effectiveness o Reduce frequency of ambulatory visits o Increase quality of life for OAT patients • Risks o Potential lethal drug o Biological variability affecting INR
• Introduction Summary of challenges • Methods and data • Modelling • Results • Medication errors can cause death • INR values are affected by biological variability as dietary vitamin K Utilizing v itamin K information when prediction INR values
• Introduction Methods • Methods and data • Modelling • Results • Metabolic modelling • Collection of data from five patients in “normal, everyday setting” • Data parameters: o INR o Warfarin o Vitamin K o Others
• Introduction Data collection protocol • Methods and data • Modelling • Results • Cooperation with highly specialized ambulatory (Medicinsk Ambulatorium, Brædstrup Sygehus) • Daily scheme to be filled for one month • Mail correspondence once a week No. of days INR TTR Warfarin Mean 27,2 2,5 83,7% 2,5mg Indications for OAT: Heart valve replacement, DVT, or atria fibrillation. Abbreviations: TTR = Time in Therapeutic Range.
• Introduction Modelling • Methods and data • Modelling • Results • Already existing model 3 expanded • Break down into compartments o Warfarin o Coagulation factors o Vitamin K • Predict future INR values 3. Vadher B., J Clin Pathol, 1999
• Introduction Warfarin modelling • Methods and data • Modelling • Results • Warfarin modelled as single compartment • Effect of warfarin on coagulation factors
• Introduction Coagulation factors • Methods and data • Modelling • Results
• Introduction Vitamin K modelling • Methods and data • Modelling • Results • Modelled effect 4 of vitamin K intake upon INR values 4. Schugers LG., Blood, 2004
• Introduction Model summary • Methods and data • Modelling • Results Mathematical overview of model 1. INR(t) = 1+( ∑ [a i ((100-F i )/100) Si ] – VitK) 2. dF i /dt = w ● F syn - F deg 3. w = 1 – tanh (W(t) ● warf-sens ) 4. W(t) = W(0) ● e -(k) ● t
• Introduction Model predictions • Methods and data • Modelling • Results
• Introduction Model prediction results • Methods and data • Modelling • Results
• Introduction Model prediction results • Methods and data • Modelling • Results
• Introduction Model prediction results • Methods and data • Modelling • Results
• Introduction Results for vitamin K • Methods and data • Modelling • Results rich data
• Introduction • Methods and data • Modelling Discussion • Results • Pros o Decision support for management of OAT patients o Help to avoid oscillating INR values o Opportunity to raise patient’s awareness • Cons o Burden of data collection o False or incomplete data pose a potential risk
Thank you for listening Peter Brønnum Nielsen M.Sc. BME, PhD fellow Department of Health Science and Tech. Aalborg University E-mail: pbn@hst.aau.dk
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