Cargando…

Validation of a new diagnostic method for quantification of sleep bruxism activity

OBJECTIVES: To validate a new diagnostic method (DIABRUX) for quantifying sleep bruxism (SB) activity using the current gold standard, polysomnography (PSG), as a criterion in an adequate sample size investigation. MATERIALS AND METHODS: For SB diagnosis, each participant received a two-night ambula...

Descripción completa

Detalles Bibliográficos
Autores principales: Ommerborn, Michelle Alicia, Walentek, Nicole, Bergmann, Nora, Franken, Michael, Gotter, Andreas, Schäfer, Ralf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9203408/
https://www.ncbi.nlm.nih.gov/pubmed/35195761
http://dx.doi.org/10.1007/s00784-022-04398-w
_version_ 1784728709108858880
author Ommerborn, Michelle Alicia
Walentek, Nicole
Bergmann, Nora
Franken, Michael
Gotter, Andreas
Schäfer, Ralf
author_facet Ommerborn, Michelle Alicia
Walentek, Nicole
Bergmann, Nora
Franken, Michael
Gotter, Andreas
Schäfer, Ralf
author_sort Ommerborn, Michelle Alicia
collection PubMed
description OBJECTIVES: To validate a new diagnostic method (DIABRUX) for quantifying sleep bruxism (SB) activity using the current gold standard, polysomnography (PSG), as a criterion in an adequate sample size investigation. MATERIALS AND METHODS: For SB diagnosis, each participant received a two-night ambulatory PSG including audio–video recordings. The 0.5-mm-thick sheet is produced in a thermoforming process. After diagnosis via PSG, each subject wore the diagnostic sheet for five consecutive nights. The resulting total abrasion on the surface was automatically quantified in pixels by a software specially designed for this purpose. RESULTS: Forty-five participants (10 SB and 35 non-SB subjects) were included. The difference of the mean pixel score between the SB (M = 1,306, SD = 913) and the non-SB group (M = 381, SD = 483; 3.4 times higher for SB) was statistically significant (p < 0.001). The receiver operator characteristic (ROC) analysis revealed a value of 507 pixels as the most appropriate cut-off criterion with a sensitivity of 1.0, a specificity to 0.8, and an area under the curve (AUC) of 0.88. The positive and negative predictive value accounted for 0.59 and 1.0. CONCLUSIONS: The present data confirm that the new diagnostic method is valid and user-friendly that may be used for therapeutic evaluation, and for the acquisition of larger sample sizes within sophisticated study designs. CLINICAL RELEVANCE: The verified properties of the new diagnostic method allow estimating SB activity before damages occur due to long-standing bruxism activity. Therefore, it might be utilized for preventive dentistry. TRIAL REGISTRATION NUMBER: NC T03325920 (September 22, 2017).
format Online
Article
Text
id pubmed-9203408
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-92034082022-06-18 Validation of a new diagnostic method for quantification of sleep bruxism activity Ommerborn, Michelle Alicia Walentek, Nicole Bergmann, Nora Franken, Michael Gotter, Andreas Schäfer, Ralf Clin Oral Investig Original Article OBJECTIVES: To validate a new diagnostic method (DIABRUX) for quantifying sleep bruxism (SB) activity using the current gold standard, polysomnography (PSG), as a criterion in an adequate sample size investigation. MATERIALS AND METHODS: For SB diagnosis, each participant received a two-night ambulatory PSG including audio–video recordings. The 0.5-mm-thick sheet is produced in a thermoforming process. After diagnosis via PSG, each subject wore the diagnostic sheet for five consecutive nights. The resulting total abrasion on the surface was automatically quantified in pixels by a software specially designed for this purpose. RESULTS: Forty-five participants (10 SB and 35 non-SB subjects) were included. The difference of the mean pixel score between the SB (M = 1,306, SD = 913) and the non-SB group (M = 381, SD = 483; 3.4 times higher for SB) was statistically significant (p < 0.001). The receiver operator characteristic (ROC) analysis revealed a value of 507 pixels as the most appropriate cut-off criterion with a sensitivity of 1.0, a specificity to 0.8, and an area under the curve (AUC) of 0.88. The positive and negative predictive value accounted for 0.59 and 1.0. CONCLUSIONS: The present data confirm that the new diagnostic method is valid and user-friendly that may be used for therapeutic evaluation, and for the acquisition of larger sample sizes within sophisticated study designs. CLINICAL RELEVANCE: The verified properties of the new diagnostic method allow estimating SB activity before damages occur due to long-standing bruxism activity. Therefore, it might be utilized for preventive dentistry. TRIAL REGISTRATION NUMBER: NC T03325920 (September 22, 2017). Springer Berlin Heidelberg 2022-02-23 2022 /pmc/articles/PMC9203408/ /pubmed/35195761 http://dx.doi.org/10.1007/s00784-022-04398-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Ommerborn, Michelle Alicia
Walentek, Nicole
Bergmann, Nora
Franken, Michael
Gotter, Andreas
Schäfer, Ralf
Validation of a new diagnostic method for quantification of sleep bruxism activity
title Validation of a new diagnostic method for quantification of sleep bruxism activity
title_full Validation of a new diagnostic method for quantification of sleep bruxism activity
title_fullStr Validation of a new diagnostic method for quantification of sleep bruxism activity
title_full_unstemmed Validation of a new diagnostic method for quantification of sleep bruxism activity
title_short Validation of a new diagnostic method for quantification of sleep bruxism activity
title_sort validation of a new diagnostic method for quantification of sleep bruxism activity
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9203408/
https://www.ncbi.nlm.nih.gov/pubmed/35195761
http://dx.doi.org/10.1007/s00784-022-04398-w
work_keys_str_mv AT ommerbornmichellealicia validationofanewdiagnosticmethodforquantificationofsleepbruxismactivity
AT walenteknicole validationofanewdiagnosticmethodforquantificationofsleepbruxismactivity
AT bergmannnora validationofanewdiagnosticmethodforquantificationofsleepbruxismactivity
AT frankenmichael validationofanewdiagnosticmethodforquantificationofsleepbruxismactivity
AT gotterandreas validationofanewdiagnosticmethodforquantificationofsleepbruxismactivity
AT schaferralf validationofanewdiagnosticmethodforquantificationofsleepbruxismactivity