title: Screening for obstructive sleep apnoea in obesity and diabetes--potential for future approaches.
abstract: BACKGROUND
  It is recognised that sleep-disordered breathing (SDB), in particular, obstructive sleep apnoea (OSA) is associated with obesity and diabetes. The complications of OSA include dysregulation of metabolic and cardiovascular homeostasis. With the growing population of diabetes and obesity globally, it is becoming apparent that identifying and screening patients who are at risk is becoming increasingly crucial. Many patients may remain unaware of the potential diagnosis and continue to be undiagnosed. The high prevalence of OSA poses a demanding challenge to healthcare providers in order to provide sufficient resources and facilities for patient diagnosis and treatment.
  
  
  METHODS
  In this article, we review the evidence in favour of screening populations deemed to be at increased risk of OSA, with particular reference to patients with obesity and diabetes. We consider the recent advances in potential screening methods that may allow new prognostic and predictive tools to be developed. A detailed search of Medline and Web of Science electronic databases for relevant articles in English was performed.
  
  
  RESULTS
  Apart from the use of screening tools such as questionnaires and clinical decision models, there is increasing evidence to suggest that there are differences in biological parameters in patients with OSA. Although further studies are required, there may be potential for such biomarkers to contribute to and augment the screening process. However, the significance of such biological tools remains to be elucidated.
  
  
  CONCLUSIONS
  A fundamental role for improved screening in patients with conditions such as obesity and diabetes can enable early interventions that may improve health outcomes relating to the adverse consequences of OSA. The future will see further research being carried out in the development of potential screening methods with emphasis on the selection of patients at risk of sleep disorders, thereby allowing more detailed physiological studies to be carried out where needed.
authors.affiliation: Department of Obesity & Endocrinology, University of Liverpool, Clinical Sciences Centre, University Hospital Aintree, Liverpool, UK. iseetho@liv.ac.uk
authors.forename: Ian W
authors.initials: IW
authors.lastname: Seetho
authors.forename: John P H
authors.initials: JP
authors.lastname: Wilding
mesh_terms: D000886:Anthropometry; D015415:Biomarkers / Q000032:analysis; D002318:Cardiovascular Diseases / Q000209:etiology; D003924:Diabetes Mellitus, Type 2 / Q000150:complications*; D042241:Early Diagnosis; D005544:Forecasting; D006801:Humans; D024821:Metabolic Syndrome / Q000150:complications; D009765:Obesity / Q000150:complications*; D019095:Point-of-Care Systems; D040901:Proteomics; D011788:Quality of Life; D020181:Sleep Apnea, Obstructive / Q000175:diagnosis*; D011795:Surveys and Questionnaires
chemical_list: D015415:Biomarkers