Mieszko Wieckiewicz, Helena Martynowicz, Gilles Lavigne, Takafumi Kato, Frank Lobbezoo, Joanna Smardz, Jari Ahlberg, Efraim Winocur, Alona Emodi-Perlman, Claudia Restrepo, Anna Wojakowska, Pawel Gac, Grzegorz Mazur, Marta Waliszewska-Prosol, Witold Swienc, Daniele Manfredini
{"title":"超越磨牙症发作指数:摒弃滥用睡眠磨牙症发作次数作为咀嚼肌疼痛生物标志物的做法。","authors":"Mieszko Wieckiewicz, Helena Martynowicz, Gilles Lavigne, Takafumi Kato, Frank Lobbezoo, Joanna Smardz, Jari Ahlberg, Efraim Winocur, Alona Emodi-Perlman, Claudia Restrepo, Anna Wojakowska, Pawel Gac, Grzegorz Mazur, Marta Waliszewska-Prosol, Witold Swienc, Daniele Manfredini","doi":"10.1111/jsr.14301","DOIUrl":null,"url":null,"abstract":"<p><p>The objective of the current study was to evaluate the clinical utility of bruxism episode index in predicting the level of masticatory muscle pain intensity. The study involved adults (n = 220) recruited from the Outpatient Clinic of Temporomandibular Disorders at the Department of Experimental Dentistry, Wroclaw Medical University, during the period 2017-2022. Participants underwent medical interview and dental examination, focusing on signs and symptoms of sleep bruxism. The intensity of masticatory muscle pain was gauged using the Numeric Rating Scale. Patients identified with probable sleep bruxism underwent further evaluation through video-polysomnography. Statistical analyses included the Shapiro-Wilk test, Spearman's rank correlation test, association rules, receiver operating characteristic curves, linear regression, multivariate regression and prediction accuracy analyses. The analysis of correlation and one-factor linear regression revealed no statistically significant relationships between bruxism episode index and Numeric Rating Scale (p > 0.05 for all analyses). Examination of receiver operating characteristic curves and prediction accuracy indicated a lack of predictive utility for bruxism episode index in relation to masticatory muscle pain intensity. Multivariate regression analysis demonstrated no discernible relationship between bruxism episode index and Numeric Rating Scale across all examined masticatory muscles. In conclusion, bruxism episode index and masticatory muscle pain intensity exhibit no correlation, and bruxism episode index lacks predictive value for masticatory muscle pain. Clinicians are advised to refrain from employing the frequency of masticatory muscle activity as a method for assessing the association between masticatory muscle pain and sleep bruxism.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e14301"},"PeriodicalIF":3.4000,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Moving beyond bruxism episode index: Discarding misuse of the number of sleep bruxism episodes as masticatory muscle pain biomarker.\",\"authors\":\"Mieszko Wieckiewicz, Helena Martynowicz, Gilles Lavigne, Takafumi Kato, Frank Lobbezoo, Joanna Smardz, Jari Ahlberg, Efraim Winocur, Alona Emodi-Perlman, Claudia Restrepo, Anna Wojakowska, Pawel Gac, Grzegorz Mazur, Marta Waliszewska-Prosol, Witold Swienc, Daniele Manfredini\",\"doi\":\"10.1111/jsr.14301\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The objective of the current study was to evaluate the clinical utility of bruxism episode index in predicting the level of masticatory muscle pain intensity. 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Examination of receiver operating characteristic curves and prediction accuracy indicated a lack of predictive utility for bruxism episode index in relation to masticatory muscle pain intensity. Multivariate regression analysis demonstrated no discernible relationship between bruxism episode index and Numeric Rating Scale across all examined masticatory muscles. In conclusion, bruxism episode index and masticatory muscle pain intensity exhibit no correlation, and bruxism episode index lacks predictive value for masticatory muscle pain. Clinicians are advised to refrain from employing the frequency of masticatory muscle activity as a method for assessing the association between masticatory muscle pain and sleep bruxism.</p>\",\"PeriodicalId\":17057,\"journal\":{\"name\":\"Journal of Sleep Research\",\"volume\":\" \",\"pages\":\"e14301\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Sleep Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/jsr.14301\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sleep Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/jsr.14301","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
摘要
本研究旨在评估磨牙症发作指数在预测咀嚼肌疼痛强度水平方面的临床实用性。研究对象为2017-2022年间从弗罗茨瓦夫医科大学实验牙科系颞下颌疾病门诊招募的成年人(n = 220)。参与者接受了医学访谈和牙科检查,重点是睡眠磨牙症的体征和症状。咀嚼肌疼痛的强度采用数字评分量表进行测量。被确定为可能患有睡眠磨牙症的患者将通过视频多导睡眠监测仪接受进一步评估。统计分析包括 Shapiro-Wilk 检验、Spearman 等级相关检验、关联规则、接收者操作特征曲线、线性回归、多元回归和预测准确性分析。相关性和单因素线性回归分析表明,磨牙症发作指数与数值评定量表之间没有显著的统计学关系(所有分析的 p 均大于 0.05)。对接收者操作特征曲线和预测准确性的研究表明,磨牙症发作指数对咀嚼肌疼痛强度缺乏预测作用。多变量回归分析表明,在所有受检的咀嚼肌中,磨牙症发作指数与数值评定量表之间没有明显的关系。总之,磨牙症发作指数与咀嚼肌疼痛强度没有相关性,磨牙症发作指数对咀嚼肌疼痛缺乏预测价值。建议临床医生不要将咀嚼肌活动频率作为评估咀嚼肌疼痛与睡眠磨牙症之间关联的方法。
Moving beyond bruxism episode index: Discarding misuse of the number of sleep bruxism episodes as masticatory muscle pain biomarker.
The objective of the current study was to evaluate the clinical utility of bruxism episode index in predicting the level of masticatory muscle pain intensity. The study involved adults (n = 220) recruited from the Outpatient Clinic of Temporomandibular Disorders at the Department of Experimental Dentistry, Wroclaw Medical University, during the period 2017-2022. Participants underwent medical interview and dental examination, focusing on signs and symptoms of sleep bruxism. The intensity of masticatory muscle pain was gauged using the Numeric Rating Scale. Patients identified with probable sleep bruxism underwent further evaluation through video-polysomnography. Statistical analyses included the Shapiro-Wilk test, Spearman's rank correlation test, association rules, receiver operating characteristic curves, linear regression, multivariate regression and prediction accuracy analyses. The analysis of correlation and one-factor linear regression revealed no statistically significant relationships between bruxism episode index and Numeric Rating Scale (p > 0.05 for all analyses). Examination of receiver operating characteristic curves and prediction accuracy indicated a lack of predictive utility for bruxism episode index in relation to masticatory muscle pain intensity. Multivariate regression analysis demonstrated no discernible relationship between bruxism episode index and Numeric Rating Scale across all examined masticatory muscles. In conclusion, bruxism episode index and masticatory muscle pain intensity exhibit no correlation, and bruxism episode index lacks predictive value for masticatory muscle pain. Clinicians are advised to refrain from employing the frequency of masticatory muscle activity as a method for assessing the association between masticatory muscle pain and sleep bruxism.
期刊介绍:
The Journal of Sleep Research is dedicated to basic and clinical sleep research. The Journal publishes original research papers and invited reviews in all areas of sleep research (including biological rhythms). The Journal aims to promote the exchange of ideas between basic and clinical sleep researchers coming from a wide range of backgrounds and disciplines. The Journal will achieve this by publishing papers which use multidisciplinary and novel approaches to answer important questions about sleep, as well as its disorders and the treatment thereof.