AIMS: A modular interdisciplinary platform was developed to investigate the economic impact of oseltamivir treatment by dosage regimen under simulated influenza pandemic scenarios. METHODS: The pharmacology module consisted of a pharmacokinetic distribution of oseltamivir carboxylate daily area under the concentration-time curve at steady state (simulated for 75 mg and 150 mg twice daily regimens for 5 days) and a pharmacodynamic distribution of viral shedding duration obtained from phase II influenza inoculation data. The epidemiological module comprised a susceptible, exposed, infected, recovered (SEIR) model to which drug effect on the basic reproductive number (R0 ), a measure of transmissibility, was linked by reduction of viral shedding duration. The number of infected patients per population of 100 000 susceptible individuals was simulated for a series of pandemic scenarios, varying oseltamivir dose, R0 (1.9 vs. 2.7), and drug uptake (25%, 50%, and 80%). The number of infected patients for each scenario was entered into the health economics module, a decision analytic model populated with branch probabilities, disease utility, costs of hospitalized patients developing complications, and case-fatality rates. Change in quality-adjusted life years was determined relative to base case. RESULTS: Oseltamivir 75 mg relative to no treatment reduced the median number of infected patients, increased change in quality-adjusted life years by deaths averted, and was cost-saving under all scenarios; 150 mg relative to 75 mg was not cost effective in low transmissibility scenarios but was cost saving in high transmissibility scenarios. CONCLUSION: This methodological study demonstrates proof of concept that the disciplines of pharmacology, disease epidemiology and health economics can be linked in a single quantitative framework.
AIMS: A modular interdisciplinary platform was developed to investigate the economic impact of oseltamivir treatment by dosage regimen under simulated influenza pandemic scenarios. METHODS: The pharmacology module consisted of a pharmacokinetic distribution of oseltamivir carboxylate daily area under the concentration-time curve at steady state (simulated for 75 mg and 150 mg twice daily regimens for 5 days) and a pharmacodynamic distribution of viral shedding duration obtained from phase II influenza inoculation data. The epidemiological module comprised a susceptible, exposed, infected, recovered (SEIR) model to which drug effect on the basic reproductive number (R0 ), a measure of transmissibility, was linked by reduction of viral shedding duration. The number of infectedpatients per population of 100 000 susceptible individuals was simulated for a series of pandemic scenarios, varying oseltamivir dose, R0 (1.9 vs. 2.7), and drug uptake (25%, 50%, and 80%). The number of infectedpatients for each scenario was entered into the health economics module, a decision analytic model populated with branch probabilities, disease utility, costs of hospitalized patients developing complications, and case-fatality rates. Change in quality-adjusted life years was determined relative to base case. RESULTS:Oseltamivir 75 mg relative to no treatment reduced the median number of infectedpatients, increased change in quality-adjusted life years by deaths averted, and was cost-saving under all scenarios; 150 mg relative to 75 mg was not cost effective in low transmissibility scenarios but was cost saving in high transmissibility scenarios. CONCLUSION: This methodological study demonstrates proof of concept that the disciplines of pharmacology, disease epidemiology and health economics can be linked in a single quantitative framework.
Authors: Bruce Y Lee; Kristina M Bacon; Julie M Donohue; Ann E Wiringa; Rachel R Bailey; Richard K Zimmerman Journal: Vaccine Date: 2011-01-06 Impact factor: 3.641
Authors: J Burch; M Paulden; S Conti; C Stock; M Corbett; N J Welton; A E Ades; A Sutton; N Cooper; A J Elliot; K Nicholson; S Duffy; C McKenna; L Stewart; M Westwood; S Palmer Journal: Health Technol Assess Date: 2009-11 Impact factor: 4.014
Authors: Mohamed A Kamal; Kayla Yi Ting Lien; Richard Robson; Vishak Subramoney; Barry Clinch; Craig R Rayner; Leonid Gibiansky Journal: Antimicrob Agents Chemother Date: 2015-08-17 Impact factor: 5.191
Authors: Mohamed A Kamal; Scott A Van Wart; Craig R Rayner; Vishak Subramoney; Daniel K Reynolds; Catharine C Bulik; Patrick F Smith; Sujata M Bhavnani; Paul G Ambrose; Alan Forrest Journal: Antimicrob Agents Chemother Date: 2013-05-13 Impact factor: 5.191
Authors: Barbara Michiels; Karolien Van Puyenbroeck; Veronique Verhoeven; Etienne Vermeire; Samuel Coenen Journal: PLoS One Date: 2013-04-02 Impact factor: 3.240
Authors: Jonathan Wiesen; John J Komara; Esteban Walker; Herbert P Wiedemann; Jorge A Guzman Journal: Ann Intensive Care Date: 2012-08-28 Impact factor: 6.925
Authors: D B C Wu; N Chaiyakunapruk; C Pratoomsoot; K K C Lee; H Y Chong; R E Nelson; P F Smith; C M Kirkpatrick; M A Kamal; K Nieforth; G Dall; S Toovey; D C M Kong; A Kamauu; C R Rayner Journal: Epidemiol Infect Date: 2018-02-15 Impact factor: 4.434