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SUMMARY: To diagnose obstructive sleep apnea syndrome (OSAS), polysomnography is used, an expensive and extensive study requiring the patient to sleep in a laboratory. OSAS has been associated with features of facial morphology, and a preliminary diagnosis could be made using an artificial intelligence (AI) predictive model. This study aimed to analyze, using a scoping review, the AI-based technological options applied to diagnosing OSAS and the parameters evaluated in such analyses on craniofacial structures. A systematic search of the literature was carried out up to February 2024, and, using inclusion and exclusion criteria, the studies to be analyzed were determined. Titles and abstracts were independently selected by two researchers. Fourteen studies were selected, including a total of 13,293 subjects analyzed. The age of the sample ranged from 18 to 90 years. 9,912 (74.56 %) subjects were male, and 3,381 (25.43 %) were female. The included studies presented a diagnosis of OSAS by polysomnography; seven presented a control group of subjects without OSAS and another group with OSAS. The remaining studies presented OSAS groups in relation to their severity. All studies had a mean accuracy of 80 % in predicting OSAS using variables such as age, gender, measurements, and/or imaging measurements. There are no tests before diagnosis by polysomnography to guide the user in the likely presence of OSAS. In this sense, there are risk factors for developing OSA linked to facial shape, obesity, age, and other conditions, which, together with the advances in AI for diagnosis and guidance in OSAS, could be used for early detection.

Para diagnosticar el Síndrome Apnea Obstructiva del Sueño (SAOS) se utiliza la polisomnografía, el cual es un costoso y extenso estudio que exige que el paciente duerma en un laboratorio. El SAOS ha sido asociado con características de la morfología facial y mediante un modelo predictivo de la Inteligencia Artificial (IA), se podría realizar un diagnóstico preliminar. El objetivo de este estudio fue analizar por medio de una revisión de alcance, las opciones tecnológicas basadas en IA aplicadas al diagnóstico del SAOS, y los parámetros evaluados en dichos análisis en las estructuras craneofaciales. Se realizó una búsqueda sistemática de la literatura hasta febrero del 2024 y mediante criterios de inclusión y exclusión se determino los estudios a analizar. Los títulos y resúmenes fueron seleccionados de forma independiente por dos investigadores. Se seleccionaron 14 estudios, incluyeron un total de 13.293 sujetos analizados. El rango edad de la muestra oscilo entre 18 y 90 años. 9.912 (74.56 %) sujetos eran de sexo masculino y 3.381 (25,43 %) eran de sexo femenino. Los estudios incluidos presentaron diagnóstico de SAOS mediante polisomnografía, siete estudios presentaron un grupo control de sujetos con ausencia de SAOS y otro grupo con presencia de SAOS. Mientras que los demás estudios, presentaron grupos de SAOS en relación con su severidad. Todos los estudios tuvieron una precisión media del 80 % en la predicción de SAOS utilizando variables como la edad, el género, mediciones y/o mediciones imagenológicas. no existen exámenes previos al diagnóstico por polisomnografía que permitan orientar al usuario en la probable presencia de SAOS. En este sentido, existen factores de riesgo para desarrollar SAOS vinculados a la forma facial, la obesidad, la edad y otras condiciones, que sumados a los avances con IA para diagnóstico y orientación en SAOS podrían ser utilizados para la detección precoz del mismo.

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OBJECTIVES: This study aims to review the current role of various ultrasonographic methods in the evaluation of the upper airway in patients with obstructive sleep apnea. METHODS: A literature review was performed on the medical databases: Pubmed, Web of Science, Scopus and Embase. After analyzing the available studies, six of them were selected for data extraction. RESULTS: All selected studies demonstrated that it is possible to use ultrasonography as a method of evaluating the upper airway. Studies with gray-scale ultrasound concluded that the lateral pharyngeal wall and tongue are thicker in patients with obstructive sleep apnea compared to non-apneic patients. Moreover, studies with tissue characterization ultrasound, nowadays called quantitative ultrasound, have identified unique features in obstructive sleep apnea patients: standardized backscatter ultrasonography demonstrated that this particular sound wave analysis is associated with the severity of obstructive sleep apnea. Ultrasonography with elastography shows that the electrical stimulus generated in the hypoglossal nerve results in greater stiffness on the side of the tongue that is stimulated; whereas studies show conflicting results regarding the evaluation of baseline tongue stiffness in obstructive sleep apnea patients compared to non-apneic subjects. CONCLUSION: There is feasibility of different methods of ultrasonographic evaluation of the upper airway, with emphasis on ultrasonographic methods of tissue characterization, such as elastography, which proved to be a promising method of evaluating the mechanical properties of the muscles involved in the pathogenesis of obstructive sleep apnea and which require further studies for a better elucidation of its applicability.

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OBJECTIVE: Perform the validation and psychometric evaluation of the Brazilian-Portuguese translation of the Functional Outcome of Sleep Questionnaire 10 (FOSQ10). MATERIALS AND METHODS: 182 patients (65 females 48.3±14.4 years and 117 males 46.9±12.4 years), were evaluated by sleep physicians suspected of having Obstructive Sleep Apnea, underwent polysomnography and completed the FOSQ-10 and the Epworth Sleepiness Scale. APA & NCME, 2014 was used to validate the data as the American Educational Research Association recommended. RESULTS: Quality indicators such as Bartlett's test of sphericity (χ2 = 1108.2; gL=45; p= 0.000010) and KMO (0.83), and adherence measures, attest to the quality of the model. The indicators TLI (0.97), CFI (0.98), and RMSEA (0.04) fall within the expected values. Using the Eigenvalue > 1 technique, two factors explain 53% and 13.3% of the variances. In the Parallel Analysis technique, a single factor explained 59.4653% of the random variance, and the Unidimensionality indicators UniCo = 0.921, ECV = 0.822, and MIREAL = 0.253, were supported. Construct Validity: reliability coefficients Cronbach's α = 0.87, McDonald's ordinal Omega index 0.9, and the Composite Reliability 0.891 were satisfactory. CONVERGENT VALIDITY: There was a significant Spearman correlation between FOSQ-10 and the Epworth Sleepiness Scale (r = 0.364 [-0.487; -0.226]). CRITERION VALIDITY: Was not possible to differentiate the groups based on the severity of AHI using FOSQ-10P. CONCLUSIONS: The Brazilian translation of FOSQ-10 is valid and reliable for identifying significant effects of excessive daytime sleepiness in patients with Obstructive Sleep Apnea.

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BACKGROUND: Obstructive sleep apnea (OSA) is a very common condition in patients with temporomandibular disorders (TMD). However, there is little evidence of a connection between them. OBJECTIVE: The aim of this systematic review and meta-analysis is to assess the association between OSA and TMD in adult population. METHODS: Case-control, cross-sectional and cohort studies on the association between TMD and OSA were searched in the EMBASE, LILACS, LIVIVO, PubMed/MEDLINE, Scopus, Web of Science, Google Scholar, Open Grey and Pro Quest databases. TMD should be assessed using Research Diagnostic Criteria (RDC/TMD) or Diagnostic Criteria (DC/TMD) and OSA using polysomnography (PSG) and/or a validated questionnaire. The risk of bias was evaluated using the Joanna Briggs Institute Critical Assessment Checklists; and an association meta-analysis was performed. The effect measure included the odds ratio (OR) in dichotomous variables and a 95% confidence interval (CI). Certainty of evidence was determined by analysing groups using the Grading of Recommendations Assessment, Development and Evaluation (GRADE). RESULTS: Out of the 1024 articles screened, 7 met the inclusion criteria for the qualitative synthesis, and 6 for quantitative analysis. All articles were classified at low risk of bias. A positive association with OSA was found in patients with TMD (OR = 2.61; 95% CI = 2.31, 2.95). A significant association was also found irrespective to the OSA diagnostic methods applied (for studies using PSG + validated questionnaires: OR = 2.74; 95% CI = 2.11, 3.57; for studies using validated questionnaires only: OR = 2.55; 95% CI = 2.22, 2.92). GRADE was moderate. CONCLUSION: Patients with TMD presented a significant association with OSA regardless of the OSA diagnostic method (PSG and/or validated questionnaires). OSA screening should be part of the TMD examination routine. Furthermore, due to the different OSA assessment methods used and the small number of studies included, there is a need to include a larger number of studies using PSG to better elucidate this association.

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PURPOSE: Craniofacial morphology is integral to Sleep Breathing Disorders (SBD), particularly Obstructive Sleep Apnea (OSA), informing treatment strategies. This review assesses the utility of two-dimensional (2D) photogrammetry in evaluating these metrics among OSA patients. METHODS: Following PRISMA guidelines, a systematic review was conducted. PubMed, Embase, and Lilacs databases were systematically searched for studies utilizing 2D photography in SBD. Findings were narratively synthesized. RESULTS: Thirteen studies involving 2,328 patients were included. Significant correlations were found between craniofacial measurements-specifically neck parameters and facial width-and OSA severity, even after BMI adjustment. Ethnic disparities in craniofacial morphology were observed, with photogrammetry effective in predicting OSA in Caucasians and Asians, though data for other ethnicities were limited. Pediatric studies suggest the potential of craniofacial measurements as predictors of childhood OSA, with certain caveats. CONCLUSION: 2D photogrammetry emerges as a practical and non-invasive tool correlating with OSA severity across diverse populations. However, further validation in various ethnic cohorts is essential to enhance the generalizability of these findings.

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PURPOSE: To develop equations to predict therapeutic continuous positive airway pressure (CPAPT) based on home-based CPAP titration, including the type of interface used. METHOD: Retrospective study conducted in adult patients with obstructive sleep apnea (OSA) who used home-based autoCPAP titration (AutoSet S10, ResMed®). CPAPT was obtained manually through a visual analysis of autoCPAP data (CPAPV) and automatically using the 95th percentile pressure (CPAPP95). Multiple linear regression and K-fold cross-validation were applied. Independent variables were AHI, neck circumference (NC), BMI, and mask. Two formulas were generated based on mask and the Miljeteig and Hoffstein formula. RESULTS: We included 702 patients (174 women), median age, BMI and AHI of 58 years, 32 kg/m2 and 32 ev/h, respectively. Predictors for CPAPv (M1) were BMI, NC, AHI and type of interface (R2: 0.19); and for CPAPP95 (M2), BMI, AHI and mask (R2: 0.09). Error and precision between the formulas and CPAPT were: 0 (CPAPV/CPAPP95), and - 3.2 to 3.2 (CPAPV) and - 4 to 4 cm H2O (CPAPP95). CPAPV was higher with oronasal mask (10 vs. 9 cm H2O, p < 0.01). Accuracy defined as; a difference ± 2 cm H2O between estimated CPAP and CPAPT was greater in M1 than in M2 (79% vs. 64%, p < 0.01). CONCLUSION: In both models, calculated error was close to zero. CPAPV (± 3.2 cm H2O) showed more precision than CPAPP95 (± 4 cm H2O). With M1 (CPAPV), 79% of patients could start CPAP with reasonable accuracy (error of ± 2 cm H2O).

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Resumen Objetivo: Determinar las características clínico-epidemiológicas, viabilidad diagnóstica de la poligrafía respiratoria domiciliaria y el tratamiento de pacientes con sospecha de apnea obstructiva del sueño (AOS) en riesgo cardiovascular. Métodos: Se realizó estudio observacional, transversal, descriptivo en pacientes atendidos en un servicio de consulta externa de cardiología con sospecha de AOS, de enero de 2015 a diciembre de 2019. La información se obtuvo de los expedientes médicos, se aplicó análisis estadístico descriptivo. Resultados: Se examinaron 138 expedientes, de las poligrafías respiratorias domiciliarias fueron descartadas solo el 8% por no cumplir con los estándares de calidad requeridos. Se demostró que el 89% padecían AOS, un 60% moderada a severa; predominó en hombres después de los 50 años. El principal ractores de riesgo cardiovascular fue hipertensión (89%). La cardiopatía más prevalente fue la hipertensiva (52%). Se optimizó tratamiento farmacológico cardiovascular en el 82% de los casos. Rehabilitación cardiaca en el 30%, ventilación mecánica no invasiva 41%, modalidad fija 33% y autoajustable 9%, todos con telemetría. Conclusiones: La prevalencia y severidad de la AOS es mayor en presencia de riesgo o enfermedad cardiovascular establecida. Ante la sospecha clínica es factible confirmar el diagnóstico con poligrafía respiratoria domiciliaria por el nivel de precisión y la menor infraestructura requerida. Es necesaria una mayor participación del cardiólogo en el diagnóstico y tratamiento de este trastorno por el riesgo significativo de enfermedad cardiovascular que representa.

Abstract Objective: To determine the clinical-epidemiological characteristics, diagnostic feasibility of home respiratory polygraphy and treatment of patients with suspected obstructive sleep apnea (OSA) at cardiovascular risk. Methods: An observational, cross-sectional, descriptive study was conducted in patients seen in a cardiology outpatient service with suspected OSA, from January 2015 to December 2019. The information was obtained from medical records, and a descriptive statistical analysis was applied to this information. Results: 138 files were reviewed; only 8% of the home respiratory polygraphs were discarded, because they did not meet the required quality standards. It was demonstrated that 89% suffered from OSA, 60% moderate to severe; in men after 50 years of age. The main cardiovascular risk factors was hypertension (89%). The most prevalent heart disease was hypertension (52%). Cardiovascular pharmacological treatment was improved in 82% of the cases. Cardiac rehabilitation in 30%, noninvasive mechanical ventilation 41%, fixed modality 33%, and self-adjustable 9%, all with telemetry. Conclusions: The prevalence and severity of OSA is higher in the presence of risk or established cardiovascular disease. In the presence of clinical suspicion, it is feasible to confirm the diagnosis with home respiratory poligrafy due to the level of precision and the lower infrastructure required. Greater involvement of the cardiologist in the diagnosis and treatment of this disorder is necessary due to the significant risk of cardiovascular disease it represents.

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Obstructive Sleep Apnea (OSA) is a common medical disorder and the most impacting sleep disturbance. OSA derive from the narrowing of the upper airway during sleep, which result in recurrent episodes of ventilatory disturbances expressed by an increased airflow resistance (flow limitation and hypopneas) and often an absence of ventilation (apneas). The high heterogeneity in the clinical picture of OSA turns diagnostic and treatment challenging. In the last decade different phenotypes, referring to specific categories of patients that can be distinguished from others by features and related clinical meaningful attributes, were identified. Those phenotypes may predict clinically important outcomes as those deriving from MAD therapy.

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STUDY OBJECTIVES: There is limited knowledge regarding the progression or consistency of symptoms in OSA over time. Our objective was to examine the changes in symptom subtypes and identify predictors over a span of 5 years. METHODS: Data of 2,643 participants of the Sleep Heart Health Study with complete baseline and 5-year follow-up visits were analyzed. Latent Class Analysis on 14 symptoms at baseline and follow-up determined symptom subtypes. Individuals without OSA (AHI<5) were incorporated as a known class at each time point. Multinomial logistic regression assessed the effect of age, sex, body mass index (BMI) and AHI on specific class transitions. RESULTS: The sample consisted of 1,408 women (53.8%) and mean (SD) age 62.4 (10.5) years. We identified four OSA symptom subtypes at both baseline and follow-up visits: minimally symptomatic, disturbed sleep, moderately sleepy, and excessively sleepy. Nearly half (44.2%) of the sample transitioned to a different subtype; transitions to moderately sleepy were the most common (77% of all transitions). A five-year older age was associated with a 50% increase in odds to transit from excessively sleepy to moderately sleepy [OR (95% CI: 1.52 (1.17, 1.97)]. Women had 1.97 times higher odds (95% CI: 1.21, 3.18) to transition from moderately sleepy to minimal symptoms. A 5-unit increase in BMI was associated with 2.39 greater odds (95% CI: 1.30, 4.40) to transition from minimal symptoms to excessively sleepy. Changes in AHI did not significantly predict any transitions. CONCLUSIONS: The symptoms of OSA may fluctuate or remain stable over time. Knowledge of symptom progression in OSA may support clinicians with treatment decisions.

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OBJECTIVE: To assess the association between self-reported symptoms of pediatric OSA and clinical signs in MB children. METHODS: Seventy-three MB children aged 7-14 years answered an interview questionnaire on OSA symptoms in childhood, focusing on chewing, nasal, and sleep disturbances. MB children were checked for changes on the craniofacial, occlusion, TMJ, upper airway, and body posture by a multi-disciplinary team, consisting of medical residents, dental, and psychology postgraduate students. Multiple logistic regression analysis verified the association between clinical signs and self-reported symptoms. RESULTS: Reported symptoms of chewing disturbance as TMD noise, muscle pain, and morning headache were significantly associated with the presence of lip incompetence and Class II malocclusion. Sleep disturbances as snoring, waking up at night, daytime sleepiness, and sleeping with the mouth open were significantly associated with the presence of hypertrophic tonsils and obstructive Mallampati score. CONCLUSION: Symptoms of pediatric OSA were found in mouth-breathing children, which should be carefully investigated in order to prevent OSA in the future.