Literature DB >> 17192117

A lifetime modelled economic evaluation comparing pioglitazone and rosiglitazone for the treatment of type 2 diabetes mellitus in the UK.

Dominic P Tilden1, Segundo Mariz, Gillies O'Bryan-Tear, Julia Bottomley, Alexander Diamantopoulos.   

Abstract

INTRODUCTION: Adding pioglitazone or rosiglitazone to existing therapy are alternative treatment options for patients with type 2 diabetes mellitus who have insufficient glycaemic control while receiving the maximal tolerated dose of metformin monotherapy. Our objective was to develop a lifetime model of type 2 diabetes mellitus and its sequelae in order to compare the costs and benefits of pioglitazone versus rosiglitazone in combination with metformin.
METHODS: A decision-analytic model employing a first order Monte Carlo simulation of a Markov process was constructed. The model incorporated surrogate outcome measures from a large randomised controlled trial (RCT) [n = 802] that compared the glycaemic and lipid control of pioglitazone and rosiglitazone monotherapy. These efficacy data were used with a recently validated and peer-reviewed UKPDS (UK Prospective Diabetes Study) algorithm to simulate the progression of these surrogate outcomes to final health outcomes, including quality of life (QOL) and mortality, and to calculate the risks of diabetic complications and death. The model perspective was of the UK NHS and included direct healthcare costs only (pounds, 2004/5 values). Patient outcomes measured in the model included life-expectancy (LE) and QALYs. The base-case analysis was run for 56-year-old male Caucasions with a haemoglobin A(1c) (HbA(1c)) of 7.57% and a body mass index of 33.14 kg/m(2).
RESULTS: Patients treated with pioglitazone experienced a reduction in the total cholesterol to high-density lipoprotein-cholesterol (TC : HDL-C) ratio of 0.34, whereas the TC : HDL-C ratio increased by 0.65 in those receiving rosiglitazone (p < 0.001). The HbA(1c) profile was similar between the treatment groups (p = 0.13), as were other known risk factors for diabetes complications. The lifetime healthcare costs per patient estimated by the model were 9585 pounds for pioglitazone and 10,299 pounds for rosiglitazone. Patients treated with pioglitazone had a discounted LE of 8.83 years versus 8.79 years for those treated with rosiglitazone. Patients treated with pioglitazone also gained additional QALYs (6.8070 vs 6.7686). With improved health outcomes and lower costs, treatment with pioglitazone dominated rosiglitazone treatment.
CONCLUSION: Evidence from the only large head-to-head RCT comparing rosiglitazone and pioglitazone suggests that more favourable changes in serum lipid profiles in patients treated with pioglitazone translate into improved health outcomes in terms of reduced morbidity and mortality and greater gains in QOL. In addition, this analysis indicates that treatment with pioglitazone is associated with lower costs than rosiglitazone. Therefore, in the UK, adjunctive pioglitazone may represent a cost-effective treatment choice for patients with type 2 diabetes who have insufficient glycaemic control while receiving the maximal tolerated dose of metformin monotherapy.

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Year:  2007        PMID: 17192117     DOI: 10.2165/00019053-200725010-00005

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  25 in total

Review 1.  Diabetes and cardiovascular disease: a statement for healthcare professionals from the American Heart Association.

Authors:  S M Grundy; I J Benjamin; G L Burke; A Chait; R H Eckel; B V Howard; W Mitch; S C Smith; J R Sowers
Journal:  Circulation       Date:  1999-09-07       Impact factor: 29.690

Review 2.  Non-high-density lipoprotein cholesterol and cardiovascular disease.

Authors:  Vera Bittner
Journal:  Curr Opin Lipidol       Date:  2003-08       Impact factor: 4.776

Review 3.  Guidelines for computer modeling of diabetes and its complications.

Authors: 
Journal:  Diabetes Care       Date:  2004-09       Impact factor: 19.112

4.  Probabilistic sensitivity analysis for NICE technology assessment: not an optional extra.

Authors:  Karl Claxton; Mark Sculpher; Chris McCabe; Andrew Briggs; Ron Akehurst; Martin Buxton; John Brazier; Tony O'Hagan
Journal:  Health Econ       Date:  2005-04       Impact factor: 3.046

5.  Sulfonylurea inadequacy: efficacy of addition of insulin over 6 years in patients with type 2 diabetes in the U.K. Prospective Diabetes Study (UKPDS 57).

Authors:  Alex Wright; A C Felix Burden; Richard B Paisey; Carole A Cull; Rury R Holman
Journal:  Diabetes Care       Date:  2002-02       Impact factor: 19.112

6.  Quality of life in type 2 diabetic patients is affected by complications but not by intensive policies to improve blood glucose or blood pressure control (UKPDS 37). U.K. Prospective Diabetes Study Group.

Authors: 
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Review 7.  Cardiovascular complications in diabetes mellitus.

Authors:  Burton E Sobel; David J Schneider
Journal:  Curr Opin Pharmacol       Date:  2005-04       Impact factor: 5.547

8.  A model to estimate the lifetime health outcomes of patients with type 2 diabetes: the United Kingdom Prospective Diabetes Study (UKPDS) Outcomes Model (UKPDS no. 68).

Authors:  P M Clarke; A M Gray; A Briggs; A J Farmer; P Fenn; R J Stevens; D R Matthews; I M Stratton; R R Holman
Journal:  Diabetologia       Date:  2004-10-27       Impact factor: 10.122

9.  Illustrating the impact of including future costs in economic evaluations: an application to end-stage renal disease care.

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10.  Interplay of diabetes and coronary heart disease on cardiovascular mortality.

Authors:  F Boccara; A Cohen
Journal:  Heart       Date:  2004-12       Impact factor: 5.994

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  7 in total

1.  A lifetime modelled economic evaluation comparing pioglitazone and rosiglitazone for the treatment of type 2 diabetes mellitus in the UK.

Authors:  Philip Home; Adrian Bagust; Matthew Taylor; Philip Ambery; Samara Mendes da Costa
Journal:  Pharmacoeconomics       Date:  2007       Impact factor: 4.981

2.  Cost-effectiveness of a shared computerized decision support system for diabetes linked to electronic medical records.

Authors:  Daria O'Reilly; Anne Holbrook; Gordon Blackhouse; Sue Troyan; Ron Goeree
Journal:  J Am Med Inform Assoc       Date:  2011-11-03       Impact factor: 4.497

Review 3.  A review of methods used in long-term cost-effectiveness models of diabetes mellitus treatment.

Authors:  Jean-Eric Tarride; Robert Hopkins; Gord Blackhouse; James M Bowen; Matthias Bischof; Camilla Von Keyserlingk; Daria O'Reilly; Feng Xie; Ron Goeree
Journal:  Pharmacoeconomics       Date:  2010       Impact factor: 4.981

4.  Effect of rosiglitazone on progression of atherosclerosis: insights using 3D carotid cardiovascular magnetic resonance.

Authors:  Anitha Varghese; Michael S Yee; Cheuk F Chan; Lindsey A Crowe; Niall G Keenan; Desmond G Johnston; Dudley J Pennell
Journal:  J Cardiovasc Magn Reson       Date:  2009-07-27       Impact factor: 5.364

5.  The Michigan Model for Coronary Heart Disease in Type 2 Diabetes: Development and Validation.

Authors:  Wen Ye; Michael Brandle; Morton B Brown; William H Herman
Journal:  Diabetes Technol Ther       Date:  2015-07-29       Impact factor: 6.118

Review 6.  Rosiglitazone : a review of its use in type 2 diabetes mellitus.

Authors:  Emma D Deeks; Susan J Keam
Journal:  Drugs       Date:  2007       Impact factor: 9.546

7.  Towards renewed health economic simulation of type 2 diabetes: risk equations for first and second cardiovascular events from Swedish register data.

Authors:  Aliasghar Ahmad Kiadaliri; Ulf-G Gerdtham; Peter Nilsson; Björn Eliasson; Soffia Gudbjörnsdottir; Katarina Steen Carlsson
Journal:  PLoS One       Date:  2013-05-09       Impact factor: 3.240

  7 in total

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