Related Experiment Video
Updated: Mar 12, 2026

10:32
Assessing Functional Performance in the Mdx Mouse Model
Published on: March 27, 2014
34.0K
Economic Evaluation in Duchenne Muscular Dystrophy: Model Frameworks for Cost-Effectiveness Analysis.
Erik Landfeldt1, Lars Alfredsson2, Volker Straub3
1Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, 17177, Stockholm, Sweden. erik.landfeldt@ki.se.
Pharmacoeconomics
|November 1, 2016
Summary
New models evaluate the cost-effectiveness of Duchenne muscular dystrophy (DMD) treatments. The DMDSAT-based model offers a novel approach for assessing value for money in health technology assessments for this rare disease.
Area of Science:
- Health economics
- Clinical trial methodology
- Rare disease research
Background:
- Duchenne muscular dystrophy (DMD) is a severe, life-limiting orphan disease with emerging treatments.
- Pricing and reimbursement decisions for new health technologies often require evidence of value for money.
Purpose of the Study:
- To develop and compare cost-effectiveness models for Duchenne muscular dystrophy (DMD).
- To establish a model based on the DMDSAT, a novel scale for measuring disease progression.
- To compare this new model with two alternative structures for economic evaluations.
Main Methods:
- Three Markov cohort state-transition models were constructed for cost-effectiveness evaluation in a UK setting.
- Model I utilized the DMDSAT scale; Model II used clinical care guideline stages; Model III focused on ventilation status.
- Model structures were developed in collaboration with three DMD experts.
Main Results:
- All three models demonstrated good validity in terms of technique, disease representation, data, and outcomes.
- Lifetime direct medical costs for standard of care ranged from £217,510 to £284,640.
- Total costs varied between £624,240 and £713,840, with quality-adjusted life-years between 5.96 and 7.17.
Conclusions:
- A novel cost-effectiveness model for Duchenne muscular dystrophy (DMD) treatments, based on the DMDSAT, has been developed.
- This model, alongside two alternative frameworks, provides valuable tools for economic evaluations.
- Findings will aid health technology assessments and economic programs for future DMD therapies.
More Related Videos
Related Concept Videos
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
59
PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure...
59
Pharmacokinetic Models: Comparison and Selection Criterion
434
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
434

