Chrome Extension
WeChat Mini Program
Use on ChatGLM

A health-economic analysis of diagnosis and treatment of obstructive sleep apnea with continuous positive airway pressure in relation to cardiovascular disease. The Greek experience.

Sleep and Breathing(2014)

Cited 19|Views11
No score
Abstract
Purpose Obstructive sleep apnea syndrome (OSAS) is common in adult population and it is associated with increased morbidity and mortality, especially due to cardiovascular disease (CVD). Both diagnosis, based on polysomnography, and treatment with continuous positive airway pressure (CPAP), carry a potentially high cost. The present study aims to analyze the cost-effectiveness of CPAP treatment versus no treatment, in the long-term, as it examines the effect of this treatment on the incidence of CVD. Methods A Markov model was constructed to observe the disease evolution in patients with OSAS based on published evidence. Data on treatment costs were collected from public hospitals in Greece. Within each cycle of the model, each patient may remain free of CVD, may develop CVD, may die due to a cause related to CVD, or may die from other causes. The model begins at the age of 55 years in a severe OSAS patient (apnea-hypopnea index ≥30/h) and lasts for 45 years. Results Within the limitation of the model, CPAP was found to be a cost-effective strategy versus no treatment, due to the reduction of the cost for the CVD treatment, when the analysis was restricted to the male population. Moreover, CPAP was found to be clinically more effective than no treatment, as it increases life expectancy in both males and females. Conclusions CPAP was found to be clinically more effective therapy than no treatment in relation to CVD and a cost-effective strategy in males with severe OSAS.
More
Translated text
Key words
Cardiovascular disease,Continuous positive airway pressure,Cost-effectiveness,Health-economics,Incremental cost-effectiveness ratio,Life-expectancy,Markov model,Obstructive sleep apnea syndrome
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined