Oral appliance therapy in obstructive sleep apnea and snoring - systematic review and new directions of development.
Aranka IleaDaniela TimușJulian HöpkenVlad AndreiAnida-Maria BăbțanNausica Bianca PetrescuRadu Septimiu CâmpianBianca Adina BoșcaAlina Simona ȘovreaMarius NegucioiuAnca Stefania MesarosPublished in: Cranio : the journal of craniomandibular practice (2019)
Objective: Oral appliance therapy is a non-invasive treatment that offers a wide variety of oral devices for the treatment of obstructive sleep apnea (OSA). The present review focuses on the effectiveness of mandibular advancement devices for the treatment of OSA.Methods: A systematic review based on the PRISMA checklist was carried out. A detailed electronic database search was conducted using "Obstructive sleep apnea" AND "Oral appliance" AND "Dentistry" as keywords.Results: The initial search in the electronic databases resulted in a total of 262 papers. After the title and abstract analysis and full-text review, the number of eligible papers was reduced to 15.Conclusion: The mandibular advancement device is an effective treatment, improving the Apnea Hypopnea Index and the symptoms of patients with OSA in 92% of the subjects from all the investigated studies. The future may include the integration of a biosensor for the diagnosis and follow-up.Abbreviations: OSA: Obstructive sleep apnea; MADs: Mandibular advancement devices; CPAP: Continuous positive airway pressure; OAT: Oral appliance therapy; MRD: Mandibular repositioning devices; MAS: Mandibular advancement splints; MAA: Mandibular advancement appliances; OA: Oral appliances; AASM: American Academy of Sleep Medicine; AHI: Apnea-hypopnea index; EEG: Sleep-related breathing disorder SRBD; Electroencephalogram; EOG: Electrooculogram; ECG: Electrocardiogram; QOL: Quality of life; TMJ: Temporomandibular joint.
Keyphrases
- obstructive sleep apnea
- positive airway pressure
- sleep apnea
- systematic review
- randomized controlled trial
- replacement therapy
- emergency department
- machine learning
- working memory
- bone marrow
- meta analyses
- transcription factor
- deep learning
- heart rate
- big data
- mesenchymal stem cells
- heart rate variability
- adverse drug
- mass spectrometry
- electronic health record