Literature DB >> 26235152

Comparative Capabilities of Clinical Assessment, Diagnostic Criteria, and Polysomnography in Detecting Sleep Bruxism.

Marcelo Palinkas1, Graziela De Luca Canto2,3, Laíse Angélica Mendes Rodrigues1, César Bataglion4, Selma Siéssere1, Marisa Semprini1, Simone Cecilio Hallak Regalo1.   

Abstract

OBJECTIVE: To evaluate the diagnostic capability of signs and symptoms of sleep bruxism (SB) as per the American Academy of Sleep Medicine (AASM) criteria and a diagnostic grading system proposed by international experts for assessing SB.
METHODS: The study was conducted in three phases (interview, physical examination, and sleep studies). Subjects were asked about self-reported tooth grinding sounds occurring during sleep, muscle fatigue, temporal headaches, jaw muscle pain, and jaw locking. A visual examination was conducted to check for presence of abnormal tooth wear. A full-night polysomnography (PSG) was performed. After three phases, the subjects were divided into two groups matched by age and gender: Case Group, 45 SB subjects, and Control Group, 45 non-SB subjects. Diagnostic accuracy measurements were calculated for each sign or symptom individually and for the two diagnostic criteria analyzed.
RESULTS: Muscle fatigue, temporal headaches, and AASM criteria were associated with highest sensitivity (78%, 67%, 58%, respectively) and also with highest diagnostic odds ratio (OR = 9.63, 9.25, 6.33, respectively). Jaw locking, muscle pain, and the criterion of "probable SB" were associated with the worst sensitivity (16%, 18%, 22%, respectively).
CONCLUSIONS: Presence of muscle fatigue and temporal headaches can be considered good tools to screen SB patients. None of the diagnostic criteria evaluated was able to accurately identify patients with SB. AASM criteria had the strongest diagnostic capabilities and--although they do not attain diagnostic values high enough to replace the current gold standard (PSG)--should be used as a screening tool to identify SB.
© 2015 American Academy of Sleep Medicine.

Entities:  

Keywords:  bruxism; diagnostic grading system; polysomnography; sleep bruxism

Mesh:

Year:  2015        PMID: 26235152      PMCID: PMC4623131          DOI: 10.5664/jcsm.5196

Source DB:  PubMed          Journal:  J Clin Sleep Med        ISSN: 1550-9389            Impact factor:   4.062


  18 in total

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8.  Polysomnographic study of the prevalence of sleep bruxism in a population sample.

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4.  The Real Role of Sensitivity, Specificity and Predictive Values in the Clinical Assessment.

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7.  Is bruxism a disorder or a behaviour? Rethinking the international consensus on defining and grading of bruxism.

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