Dental Sleep Medicine Education Amongst Accredited Orthodontic Programmes in Thailand DOI Creative Commons
Supakit Peanchitlertkajorn, Premthip Chalidapongse,

Thanyaluck Jiansuwannapas

et al.

International Dental Journal, Journal Year: 2023, Volume and Issue: 74(3), P. 573 - 580

Published: Dec. 3, 2023

Dental sleep medicine education (DSME) should be emphasised in postgraduate orthodontic training; however, there appears to no clear guideline for its implementation into the curriculum. The aim was investigate current status of DSME as well feasibility and programmes. A structured interview with predetermined response options chosen a data collection method gather relevant information from representatives all accredited programmes Thailand. These interviews were conducted online via Cisco Webex Meeting platform. combination analysis techniques employed achieve thorough comprehension research findings, including descriptive statistics, quantitative content analysis, thematic alignment analysis. All participating reported inclusion their curricula. didactic approach adopted by However, only 2 out 7 offered clinical sessions students. Several challenges implementing within identified, shortage expertise limited patient access. participants also suggested that knowledge resource sharing amongst institutions could serve potential solution enhance DSME. This highlighted significant disparities inadequacy Thailand due various challenges. Consequently, is compelling need place greater emphasis on establish national-level standardisation effort essential enhancing awareness competency orthodontists field

Language: Английский

The effects of non-invasive brain stimulation on sleep disturbances among different neurological and neuropsychiatric conditions: A systematic review DOI
Alberto Herrero Babiloni,

Audrey Bellemare,

Gabrielle Beetz

et al.

Sleep Medicine Reviews, Journal Year: 2020, Volume and Issue: 55, P. 101381 - 101381

Published: Sept. 14, 2020

Language: Английский

Citations

90
PATIENT-REPORTED OUTCOMES WHILE MANAGING OBSTRUCTIVE SLEEP APNEA WITH ORAL APPLIANCES: A SCOPING REVIEW DOI
Nathália Carolina Fernandes Fagundes, Giuseppe Minervini,

Berta Alonso

et al.

Journal of Evidence Based Dental Practice, Journal Year: 2022, Volume and Issue: 23(1), P. 101786 - 101786

Published: Oct. 17, 2022

Language: Английский

Citations

46
Research routes on improved sleep bruxism metrics: Toward a standardised approach DOI
Gilles Lavigne, Takafumi Kato, Alberto Herrero Babiloni

et al.

Journal of Sleep Research, Journal Year: 2021, Volume and Issue: 30(5)

Published: March 6, 2021

Summary A recent report from the European Sleep Research Society’s task force “ Beyond AHI ” discussed an issue that has been a long‐term subject of debate – what are best metrics for obstructive sleep apnoea (OSA) diagnosis and treatment outcome assessments? In similar way, bruxism (SB) have also recurrent >30 years there is still uncertainty in dentistry regarding their optimisation clinical relevance. SB can occur alone or with comorbidities such as OSA, gastroesophageal reflux disorder, insomnia, headache, orofacial pain, periodic limb movement, rapid eye movement behaviour epilepsy. Classically, based on patient’s dental medical history manifestations; electromyography used research complex cases. The emergence new technologies, sensors artificial intelligence, opened opportunities. main objective present review to stimulate creation collaborative taskforce metrics. Several examples available medicine. development more homogenised could improve accuracy refinement assessment, while moving forward toward personalised approach. It time develop relevant outcomes benefit patients who suffer one possible negative consequences SB.

Language: Английский

Citations

54
The role of artificial intelligence in the treatment of obstructive sleep apnea DOI Creative Commons
Hannah L. Brennan,

Simon D. Kirby

Journal of Otolaryngology - Head and Neck Surgery, Journal Year: 2023, Volume and Issue: 52(1)

Published: Jan. 1, 2023

The first-line and most common treatment for obstructive sleep apnea is nasal continuous positive airway pressure, which serves as a pneumatic splint to stabilize the upper effective when used with appropriate adherence. Continuous pressure compliance rates remain significantly low despite machine improvements intervention. Other options include oral appliances, myofunctional therapy, surgery. aim of this project elucidate role artificial intelligence within improving apnea.Related publications between 1999 2022 were reviewed from PubMed Embase databases utilizing search terms "artificial intelligence," "machine learning," "obstructive apnea," "treatment." Both authors independently screened results by title/abstract then full text review. 126 non-duplicate articles screened, 38 included after title abstract screen 30 inclusion criteria are outline in PICO framework involved studies focused on application guiding evaluating treatment. Non-English excluded.The OSA was categorized into following sections: Predicting outcomes various options, Improving/Evaluating treatment, Personalizing understanding underlying mechanisms OSA.Artificial has capacity improve through predicting patient currently increasing that contribute disease process physiology. Implementing AI decisions allows patients connect methods would be an individual basis.

Language: Английский

Citations

22
Sleep bruxism and obstructive sleep apnea: association, causality or spurious finding? A scoping review DOI Open Access
Patrícia Pauletto, Helena Polmann, Jéssica Conti Réus

et al.

SLEEP, Journal Year: 2022, Volume and Issue: 45(7)

Published: April 20, 2022

To evaluate the available evidence on putative relationships between sleep bruxism (SB) and, obstructive apnea (OSA) to assess extent of research this topic, and formulate suggestions for future research.A scoping review including studies examining temporal overall association prevalence SB OSA was performed. Six main databases gray literature were searched. The selection conducted by three independent reviewers. A narrative synthesis results carried out.Thirteen in adults eight children finally included. median concomitant conditions 39.3% 26.1% children. Marked methodological variability identified among even more when we compared detection methods No significant emerged most adults, while an may be possible children.Based current literature, it is not confirm that there a relationship adults. In patients under pediatric care, although seems plausible, currently insufficient supportive evidence. Standardized validated methodologies identifying should consistently used both populations before reaching any conclusion regarding such association. Furthermore, assessment shared phenotypes with reveal new insights will contribute personalized approaches aiming optimize management comorbidities.

Language: Английский

Citations

26
Barriers of artificial intelligence implementation in the diagnosis of obstructive sleep apnea DOI Creative Commons
Hannah L. Brennan,

Simon D. Kirby

Journal of Otolaryngology - Head and Neck Surgery, Journal Year: 2022, Volume and Issue: 51(1)

Published: Jan. 1, 2022

Background Obstructive sleep apnea is a common clinical condition and has significant impact on the health of patients if untreated. The current diagnostic gold standard for obstructive polysomnography, which labor intensive, requires specialists to utilize, expensive, accessibility challenges. There are also challenges with awareness identification in primary care setting. Artificial intelligence systems offer opportunity new approach that addresses limitations polysomnography ultimately benefits by streamlining expedition. Main body purpose this project elucidate barriers exist implementation artificial into context apnea. It essential understand these order proactively create solutions establish an efficient adoption technology. literature regarding evolution diagnosis apnea, role diagnosis, was reviewed analyzed. Conclusion identified were categorized different themes including technology, data, regulation, human resources, education, culture. Many ubiquitous across any medical Future research directions include developing presented project. Graphical abstract

Language: Английский

Citations

23
Preoperative and Postoperative CT Imaging Assessment of Obstructive Sleep Apnea DOI

Mathew Illimoottil,

Amrita Bhattacharyya, Daniel Thomas Ginat

et al.

Journal of Computer Assisted Tomography, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

Obstructive sleep apnea (OSA) can result from various causes of partial or complete obstruction the upper airway. CT is amenable to quantitative analysis airway and surrounding structures. also useful for identifying abnormalities that could be attributed patient’s symptoms relevant surgical planning. There are procedures performed OSA encountered on CT. The anatomic measurements, imaging features pathologies affect airway, postoperative reviewed in this article.

Language: Английский

Citations

0
Sleep Bruxism, Obstructive Sleep Apnea, and Periodontitis: The Difference Between Implying Association and Inferring Causality DOI
Maria Clotilde Carra, Gilles Lavigne

Sleep Medicine, Journal Year: 2025, Volume and Issue: 132, P. 106594 - 106594

Published: May 16, 2025

Language: Английский

Citations

0
Towards the endotyping of the sleep–pain interaction: a topical review on multitarget strategies based on phenotypic vulnerabilities and putative pathways DOI
Alberto Herrero Babiloni, Gabrielle Beetz, Nicole K. Y. Tang

et al.

Pain, Journal Year: 2020, Volume and Issue: 162(5), P. 1281 - 1288

Published: Oct. 23, 2020

Herrero Babiloni, Alberto; Beetz, Gabrielle; Tang, Nicole K.Y.; Heinzer, Raphael; Nijs, Jo; Martel, Marc O.; Lavigne, Gilles J. Author Information

Language: Английский

Citations

25
Upper Airway Assessment in Cone-Beam Computed Tomography for Screening of Obstructive Sleep Apnea Syndrome: Development of an Evaluation Protocol in Dentistry DOI Creative Commons
Catarina Fonseca, Francisca Cavadas, Patrícia Fonseca

et al.

JMIR Research Protocols, Journal Year: 2023, Volume and Issue: 12, P. e41049 - e41049

Published: March 27, 2023

The upper airways are formed by the nasal cavities, pharynx, and larynx. There several radiographic methods that allow evaluation of craniofacial structure. Upper airway analysis in cone-beam computed tomography (CBCT) may be useful diagnosing some pathologies such as obstructive sleep apnea syndrome (OSAS). OSAS prevalence has increased significantly recent decades, justified obesity average life expectancy. It can associated with cardiovascular, respiratory, neurovascular diseases, diabetes, hypertension. In individuals OSAS, is compromised narrowed. Nowadays, CBCT widely used dentistry clinicians. Its use for assessment would an advantage screening abnormalities related to risk OSAS. helps calculate total volume their area different anatomical planes (sagittal, coronal, transverse). also identify regions highest anteroposterior laterolateral constriction airways. Despite its undoubted advantages, not routinely performed dentistry. no protocol allows comparisons between studies, which makes it difficult obtain scientific evidence this area. Hence, there urgent need standardize measurement help clinicians at-risk patients.Our main aim develop a standard dentistry.To measure evaluate airways, data obtained using Planmeca ProMax 3D (Planmeca). Patient orientation accordance manufacturer's indications at time image acquisition. exposure corresponds 90 kV, 8 mA, 13,713 seconds. software Romexis (version 5.1.O.R; Planmeca). images exhibited field view 20.1×17.4 cm, size 502×502×436 mm, voxel 400 μm.The described illustrated here automatic calculation pharyngeal airspace, greatest narrowing, location, smallest dimensions pharynx. These measurements carried out automatically imaging whose reliability proven existing literature. Thus, we could reduce possible bias manual measurement, aiming collection.The dentists will standardization constitutes valuable tool This suitable other software. points reference most relevant standardizing studies field.RR1-10.2196/41049.

Language: Английский

Citations

9