Simple and Unbiased OSA Prescreening: Introduction of a New Morphologic OSA Prediction Score

Laharnar, Naima; Herberger, Sebastian; Prochnow, Lisa-Kristin; Chen, Ning Hung; Cistulli, Peter A.; Schwab, Richard J.; Keenan, Brendan T.; Mazzotti, Diego R.; Fietze, Ingo; Penzel, Thomas

doi:10.2147/nss.s333471

Cited by 8 publications

(8 citation statements)

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“…As part of this evaluation domain, tongue position is evaluated. 104 Skeletal class and profile are optional items that will be included in the STAB toolbox kit. In this section, the patient is asked about his/her use of drugs, medications 77 and substances that are known for their potential exacerbating or attenuating role on bruxism and its consequences.…”

Section: Axis a A5 Intra-oral Tissues And Facial Profile (Examiner's ...mentioning

confidence: 99%

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The development of the Standardised Tool for the Assessment of Bruxism (STAB): An international road map

Manfredini

Ahlberg

Durham

et al. 2022

J of Oral Rehabilitation

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This paper summarises the background reasoning and work that led to the selection of the items included in the Standardised Tool for the Assessment of Bruxism (STAB), also introducing the list of items. The instrument is currently being tested for face validity and on‐field comprehension. The underlying premise is that the different motor activities included in the bruxism spectrum (e.g. clenching vs. grinding, with or without teeth contact) potentially need to be discriminated from each other, based on their purportedly different aetiology, comorbidities and potential consequences. Focus should be on a valid impression of the activities' frequency, intensity and duration. The methods that can be used for the above purposes can be grouped into strategies that collect information from the patient's history (subject‐based), from the clinical assessment performed by an examiner (clinically based) or from the use of instruments to measure certain outcomes (instrumentally based). The three strategies can apply to all aspects of bruxism (i.e. status, comorbid conditions, aetiology and consequences). The STAB will help gathering information on many aspects, factors and conditions that are currently poorly investigated in the field of bruxism. To this purpose, it is divided into two axes. Axis A includes the self‐reported information on bruxism status and potential consequences (subject‐based report) together with the clinical (examiner report) and instrumental assessment (technology report). Axis B includes the self‐reported information (subject‐based report) on factors and conditions that may have an etiological or comorbid role for bruxism. This comprehensive multidimensional assessment system will allow building predictive model for clinical and research purposes.

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Section: Axis a A5 Intra-oral Tissues And Facial Profile (Examiner's ...mentioning

confidence: 99%

“…As part of this evaluation domain, tongue position is evaluated 104 . Skeletal class and profile are optional items that will be included in the STAB toolbox kit.…”

Section: Overview Of Stab Itemsmentioning

confidence: 99%

The development of the Standardised Tool for the Assessment of Bruxism (STAB): An international road map

Manfredini

Ahlberg

Durham

et al. 2022

J of Oral Rehabilitation

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“…Future work will focus on improving the questionnaire mainly for physicians by attempting to expand the screening system with physical measurements, such as the waist-hip ratio, body fat rate, and pharyngeal cavity evaluation. 31,32 Considering the characteristics of a large population and high prevalence of OSA in…”

Section: Discussionmentioning

confidence: 99%

Establishment and Application Evaluation of an Improved Obstructive Sleep Apnea Screening Questionnaire for Chinese Community: The CNCQ-OSA

Wang¹,

Ren²,

Chen³

et al. 2023

NSS

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Obstructive sleep apnea (OSA) is a common sleep-disordered breathing disease. We aimed to establish an improved screening questionnaire without physical examinations for OSA named the CNCQ-OSA (Chinese community questionnaire for OSA). Methods: A total of 2585 participants who visited sleep medicine center and underwent overnight polysomnography were grouped into two independent cohorts: derivation (n = 2180) and validation (n = 405). The CNCQ-OSA was designed according to the baseline of patients in derivation cohort. We comprehensively analyzed the data to evaluate the predictive value of the CNCQ-OSA, compared to the GOAL questionnaire, STOP-Bang questionnaire (SBQ) and NoSAS questionnaire. Results:The CNCQ-OSA included seven variables: loud snoring, BMI ≥ 25 kg/m 2 , male gender, apnea, sleepiness, hypertension and age ≥30, with a total score ranging from 7 to 16.7 points (≥13.5 points indicating high risk of OSA, ≥14.5 points indicating extremely high risk). In the derivation and validation cohorts, the areas under the curve of the CNCQ-OSA were 0.761 and 0.767, respectively. In the validation cohort, the sensitivity and specificity of a CNCQ-OSA score ≥13.5 points for the apnea-hypopnea index (AHI) ≥5/h were 0.821 and 0.559, respectively (Youden index, 0.380), and the score ≥14.5 points were 0.494 and 0.887, respectively (Youden index, 0.375). The CNCQ-OSA had a better predictive value for AHI ≥ 5/h, AHI > 15/h and AHI > 30/h, with the highest Youden index, compared to the other questionnaires. Conclusion:The CNCQ-OSA can effectively identify the risk of OSA, which is appropriate for self-screening at home without physical examinations.

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“…Alternatively, maybe we simply did not measure the truly relevant anatomical regions. MRIs on the lower face were not available in our dataset, which is why we did not digitize the mandible, tongue, hyoid bone and neck, often considered of importance in relation to OSA (Agha & Johal, 2017; Laharnar et al, 2021; Rizzatti et al, 2020). In particular, we opted out of including the mandible in this analysis, and focused on the cranium and upper facial area, as the mandible position was not standardized and many participants had jaw movements during the scan time, which resulted in the mandible either partially not appearing in the head scan or deviating from the closed mouth position.…”

Section: Discussionmentioning

confidence: 99%

Do brachycephaly and nose size predict the severity of obstructive sleep apnea (OSA)? A sample‐based geometric morphometric analysis of craniofacial variation in relation to OSA syndrome and the role of confounding factors

Daboul

Krüger

Ivanonvka

et al. 2022

Journal of Sleep Research

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Obstructive sleep apnea is a common disorder that leads to sleep fragmentation and is potentially bidirectionally related to a variety of comorbidities, including an increased risk of heart failure and stroke. It is often considered a consequence of anatomical abnormalities, especially in the head and neck, but its pathophysiology is likely to be multifactorial in origin. With geometric morphometrics, and a large sample of adults from the Study for Health in Pomerania, we explore the association of craniofacial morphology to the apnea-hypopnea index used as an estimate of obstructive sleep apnea severity. We show that craniofacial size and asymmetry, an aspect of morphological variation seldom analysed in obstructive sleep apnea research, are both uncorrelated to apnea-hypopnea index. In contrast, as in previous analyses, we find evidence that brachycephaly and larger nasal proportions might be associated to obstructive sleep apnea severity. However, this correlational signal is weak and completely disappears when age-related shape variation is statistically controlled for. Our findings suggest that previous work might need to be re-evaluated, and urge researchers to take into account the role of confounders to avoid potentially spurious findings in association studies.

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Simple and Unbiased OSA Prescreening: Introduction of a New Morphologic OSA Prediction Score

Cited by 8 publications

References 50 publications

The development of the Standardised Tool for the Assessment of Bruxism (STAB): An international road map

The development of the Standardised Tool for the Assessment of Bruxism (STAB): An international road map

Establishment and Application Evaluation of an Improved Obstructive Sleep Apnea Screening Questionnaire for Chinese Community: The CNCQ-OSA

Do brachycephaly and nose size predict the severity of obstructive sleep apnea (OSA)? A sample‐based geometric morphometric analysis of craniofacial variation in relation to OSA syndrome and the role of confounding factors

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