Novel avenues to approach non-CPAP therapy and implement comprehensive OSA care.
Jean-Louis PépinPeter EastwoodDanny J EckertPublished in: The European respiratory journal (2021)
Recent advances in obstructive sleep apnoea (OSA) pathophysiology and translational research have opened new lines of investigation for OSA treatment and management. Key goals of such investigations are to provide efficacious, alternative treatment and management pathways that are better tailored to individual risk profiles to move beyond the traditional, continuous positive airway pressure (CPAP)-focused, "one size fits all", trial and error approach which is too frequently inadequate for many patients. Identification of different clinical manifestations of OSA (clinical phenotypes) and underlying pathophysiological phenotypes (endotypes), that contribute to OSA have provided novel insights into underlying mechanisms and have underpinned these efforts. Indeed, this new knowledge has provided the framework for precision medicine for OSA to improve treatment success rates with existing non-CPAP therapies such as mandibular advancement devices and upper airway surgery, and newly developed therapies such as hypoglossal nerve stimulation and emerging therapies such as pharmacotherapies and combination therapy. These concepts have also provided insight into potential physiological barriers to CPAP adherence for certain patients. This review summarises the recent advances in OSA pathogenesis, non-CPAP treatment, clinical management approaches and highlights knowledge gaps for future research. OSA endotyping and clinical phenotyping, risk stratification and personalised treatment allocation approaches are rapidly evolving and will further benefit from the support of recent advances in e-health and artificial intelligence.
Keyphrases
- positive airway pressure
- obstructive sleep apnea
- sleep apnea
- combination therapy
- artificial intelligence
- healthcare
- public health
- machine learning
- end stage renal disease
- type diabetes
- randomized controlled trial
- big data
- clinical trial
- palliative care
- coronary artery disease
- bone marrow
- replacement therapy
- health insurance
- metabolic syndrome
- atrial fibrillation
- minimally invasive
- high throughput
- deep learning
- quality improvement
- affordable care act
- current status
- coronary artery bypass