TY - JOUR
T1 - Research routes on improved sleep bruxism metrics
T2 - Toward a standardised approach
AU - Lavigne, Gilles
AU - Kato, Takafumi
AU - Herrero Babiloni, Alberto
AU - Huynh, Nelly
AU - Dal Fabbro, Cibele
AU - Svensson, Peter
AU - Aarab, Ghizlane
AU - Ahlberg, Jari
AU - Baba, Kazuyoshi
AU - Carra, Maria Clotilde
AU - Cunha, Thays Crosara A
AU - Gonçalves, Daniela A G
AU - Manfredini, Daniele
AU - Stuginski-Barbosa, Juliana
AU - Wieckiewicz, Mieszko
AU - Lobbezoo, Frank
N1 - © 2021 European Sleep Research Society.
PY - 2021/10
Y1 - 2021/10
N2 - 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 the best metrics for obstructive sleep apnoea (OSA) diagnosis and treatment outcome assessments? In a similar way, sleep bruxism (SB) metrics have also been a recurrent issue for >30 years and there is still uncertainty in dentistry regarding their optimisation and 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 disorder, and sleep epilepsy. Classically, the diagnosis of SB is based on the patient's dental and medical history and clinical manifestations; electromyography is used in research and for complex cases. The emergence of new technologies, such as sensors and artificial intelligence, has opened new opportunities. The main objective of the present review is to stimulate the creation of a collaborative taskforce on SB metrics. Several examples are available in sleep medicine. The development of more homogenised metrics could improve the accuracy and refinement of SB assessment, while moving forward toward a personalised approach. It is time to develop SB metrics that are relevant to clinical outcomes and benefit patients who suffer from one or more possible negative consequences of SB.
AB - 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 the best metrics for obstructive sleep apnoea (OSA) diagnosis and treatment outcome assessments? In a similar way, sleep bruxism (SB) metrics have also been a recurrent issue for >30 years and there is still uncertainty in dentistry regarding their optimisation and 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 disorder, and sleep epilepsy. Classically, the diagnosis of SB is based on the patient's dental and medical history and clinical manifestations; electromyography is used in research and for complex cases. The emergence of new technologies, such as sensors and artificial intelligence, has opened new opportunities. The main objective of the present review is to stimulate the creation of a collaborative taskforce on SB metrics. Several examples are available in sleep medicine. The development of more homogenised metrics could improve the accuracy and refinement of SB assessment, while moving forward toward a personalised approach. It is time to develop SB metrics that are relevant to clinical outcomes and benefit patients who suffer from one or more possible negative consequences of SB.
KW - dental sleep medicine
KW - electromyography
KW - obstructive sleep apnoea
KW - phenotype
KW - sleep bruxism
KW - tooth-grinding
U2 - 10.1111/jsr.13320
DO - 10.1111/jsr.13320
M3 - Review
C2 - 33675267
SN - 1365-2869
VL - 30
JO - Journal of Sleep Research
JF - Journal of Sleep Research
IS - 5
M1 - e13320
ER -