Personalized medicine in OSA identifies different needs and approaches: i) phenotyping and defining the different and segregated clusters of OSA patients whose recognition may improve prognostic predictions and guide therapeutic strategies; ii) to further characterize and predict the impact of OSA and its treatment, particularly revolving around mortality and the processes closely related to ageing (cardiovascular diseases, cancer and neurocognitive diseases); iii) the introduction of new technologies including telemedicine that have shown promise in the implementation of personalized medicine approaches.
Keyphrases
- obstructive sleep apnea
- positive airway pressure
- end stage renal disease
- cardiovascular disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- healthcare
- prognostic factors
- sleep apnea
- papillary thyroid
- high throughput
- peritoneal dialysis
- genome wide
- bipolar disorder
- cardiovascular events
- gene expression
- big data
- young adults
- cardiovascular risk factors
- squamous cell
- replacement therapy