Sleep disordered breathing (SDB) is a highly prevalent but an under-diagnosed disease. Among adults in the ages between 30 to 60 years, 24% of males and 9% of females show conditions of SDB, while 82% of men and 93% of women with moderate to severe SDB remain undiagnosed. Polysomnography (PSG) is the reference diagnostic test for SDB. During PSG, a number of physiological signals are recorded during an overnight sleep and then manually scored for sleep/wake stages and SDB events to obtain the reference diagnosis. The manual scoring of SDB events is an extremely time consuming and cumbersome task with high inter- and intra-rater variations. PSG is a labour intensive, expensive and patient inconvenient test. Further, PSG facilities are limited leading to long waiting lists. There is an enormous clinical need for automation of PSG scoring and an alternative automated ambulatory method suitable for screening the population. During the work of this thesis, we focus (1) on implementing a framework that enables more reliable scoring of SDB events which also lowers manual scoring time, and (2) implementing a reliable automated screening procedure that can be used as a patient-friendly home based study. The recordings of physiological measurements obtained during patients’ sleep of- ten suffer from data losses, interferences and artefacts. In a typical sleep scoring session, artifact-corrupted signal segments are visually detected and removed from further consideration. We developed a novel framework for automated artifact detection and signal restoration, based on the redundancy among respiratory flow signals. The signals focused on are the airflow (thermistor sensors) and nasal pressure signals that are clinically significant in detecting respira- tory disturbances. We treat the respiratory system as a dynamical system, and use the celebrated Takens embedding theorem as the theoretical basis for sig- nal prediction. In this study, we categorise commonly occurring artefacts and distortions in the airflow and nasal pressure measurements into several groups and explore the efficacy of the proposed technique in detecting/recovering them. Results we obtained from a database of clinical PSG signals indicated that theproposed technique can detect artefacts/distortions with a sensitivity >88% and specificity >92%. This work has the potential to simplify the work done by sleep scoring technicians, and also to improve automated sleep scoring methods. During the next phase of the thesis we have investigated the diagnostic ability of single – and dual–channel respiratory flow measuring devices. Recent studies have shown that single channel respiratory flow measurements can be used for automated diagnosis/screening for sleep disordered breathing (SDB) diseases. Improvements for reliable home-based monitoring for SDB may be achieved with the use of predictors based on recurrence quantification analysis (RQA). RQA essentially measures the complex structures present in a time series and are relatively independent of the nonlinearities present in the respiratory measurements such as those due to breathing nonlinearities and sensor movements. The nasal pressure, thermistor-based airflow, abdominal movement and thoracic movement measurements obtained during Polysomnography, were used in this study to implement an algorithm for automated screening for SDB diseases. The algorithm predicts SDB-affected measurement segments using twelve features based on RQA, body mass index (BMI) and neck circumference using mixture discriminant analysis (MDA). The rate of SDB affected segments of data per hour of recording (RDIS) is used as a measure for the diagnosis of SDB diseases. The operating points to be chosen were the prior probability of SDB affected data segments (π1) and the RDIS threshold value, above which a patient is predicted to have a SDB disease. Cross-validation with five-folds, stratified based on the RDI values of the recordings, was used in estimating the operating points. Sensitivity and specificity rates for the final classifier were estimated using a two-layer assessment approach with the operating points chosen at the inner layer using five-fold cross-validation and the choice assessed at the outer layer using repeated learning-testing. The nasal pressure measurement showed higher accuracy compared to other respiratory measurements when used alone. The nasal pressure and thoracic movement measurements were identified as the best pair of measurements to be used in a dual channel device. The estimated sensitivity and specificity (standard error) in diagnosing SDB disease (RDI ≥ 15) are 90.3(3.1)% and 88.3(5.5)% when nasal pressure is used alone and together with the thoracic movement it was 89.5(3.7)% and 100.0(0.0)%. Present results suggest that RQA of a single respiratory measurement has potential to be used in an automated SDB screening device, while with dual-channel more reliable accuracy can be expected. Improvements may be possible by including other RQA based features and optimisation of the parameters.

Sleep disordered breathing (SDB) is a highly prevalent but an under-diagnosed disease. Among adults in the ages between 30 to 60 years, 24% of males and 9% of females show conditions of SDB, while 82% of men and 93% of women with moderate to severe SDB remain undiagnosed. Polysomnography (PSG) is the reference diagnostic test for SDB. During PSG, a number of physiological signals are recorded during an overnight sleep and then manually scored for sleep/wake stages and SDB events to obtain the reference diagnosis. The manual scoring of SDB events is an extremely time consuming and cumbersome task with high inter- and intra-rater variations. PSG is a labour intensive, expensive and patient inconvenient test. Further, PSG facilities are limited leading to long waiting lists. There is an enormous clinical need for automation of PSG scoring and an alternative automated ambulatory method suitable for screening the population. During the work of this thesis, we focus (1) on implementing a framework that enables more reliable scoring of SDB events which also lowers manual scoring time, and (2) implementing a reliable automated screening procedure that can be used as a patient-friendly home based study. The recordings of physiological measurements obtained during patients’ sleep of- ten suffer from data losses, interferences and artefacts. In a typical sleep scoring session, artifact-corrupted signal segments are visually detected and removed from further consideration. We developed a novel framework for automated artifact detection and signal restoration, based on the redundancy among respiratory flow signals. The signals focused on are the airflow (thermistor sensors) and nasal pressure signals that are clinically significant in detecting respira- tory disturbances. We treat the respiratory system as a dynamical system, and use the celebrated Takens embedding theorem as the theoretical basis for sig- nal prediction. In this study, we categorise commonly occurring artefacts and distortions in the airflow and nasal pressure measurements into several groups and explore the efficacy of the proposed technique in detecting/recovering them. Results we obtained from a database of clinical PSG signals indicated that theproposed technique can detect artefacts/distortions with a sensitivity >88% and specificity >92%. This work has the potential to simplify the work done by sleep scoring technicians, and also to improve automated sleep scoring methods. During the next phase of the thesis we have investigated the diagnostic ability of single – and dual–channel respiratory flow measuring devices. Recent studies have shown that single channel respiratory flow measurements can be used for automated diagnosis/screening for sleep disordered breathing (SDB) diseases. Improvements for reliable home-based monitoring for SDB may be achieved with the use of predictors based on recurrence quantification analysis (RQA). RQA essentially measures the complex structures present in a time series and are relatively independent of the nonlinearities present in the respiratory measurements such as those due to breathing nonlinearities and sensor movements. The nasal pressure, thermistor-based airflow, abdominal movement and thoracic movement measurements obtained during Polysomnography, were used in this study to implement an algorithm for automated screening for SDB diseases. The algorithm predicts SDB-affected measurement segments using twelve features based on RQA, body mass index (BMI) and neck circumference using mixture discriminant analysis (MDA). The rate of SDB affected segments of data per hour of recording (RDIS) is used as a measure for the diagnosis of SDB diseases. The operating points to be chosen were the prior probability of SDB affected data segments (π1) and the RDIS threshold value, above which a patient is predicted to have a SDB disease. Cross-validation with five-folds, stratified based on the RDI values of the recordings, was used in estimating the operating points. Sensitivity and specificity rates for the final classifier were estimated using a two-layer assessment approach with the operating points chosen at the inner layer using five-fold cross-validation and the choice assessed at the outer layer using repeated learning-testing. The nasal pressure measurement showed higher accuracy compared to other respiratory measurements when used alone. The nasal pressure and thoracic movement measurements were identified as the best pair of measurements to be used in a dual channel device. The estimated sensitivity and specificity (standard error) in diagnosing SDB disease (RDI ≥ 15) are 90.3(3.1)% and 88.3(5.5)% when nasal pressure is used alone and together with the thoracic movement it was 89.5(3.7)% and 100.0(0.0)%. Present results suggest that RQA of a single respiratory measurement has potential to be used in an automated SDB screening device, while with dual-channel more reliable accuracy can be expected. Improvements may be possible by including other RQA based features and optimisation of the parameters.

Sleep disordered breathing (SDB) is a highly prevalent but an under-diagnosed disease. Among adults in the ages between 30 to 60 years, 24% of males and 9% of females show conditions of SDB, while 82% of men and 93% of women with moderate to severe SDB remain undiagnosed. Polysomnography (PSG) is the reference diagnostic test for SDB. During PSG, a number of physiological signals are recorded during an overnight sleep and then manually scored for sleep/wake stages and SDB events to obtain the reference diagnosis. The manual scoring of SDB events is an extremely time consuming and cumbersome task with high inter- and intra-rater variations. PSG is a labour intensive, expensive and patient inconvenient test. Further, PSG facilities are limited leading to long waiting lists. There is an enormous clinical need for automation of PSG scoring and an alternative automated ambulatory method suitable for screening the population. During the work of this thesis, we focus (1) on implementing a framework that enables more reliable scoring of SDB events which also lowers manual scoring time, and (2) implementing a reliable automated screening procedure that can be used as a patient-friendly home based study. The recordings of physiological measurements obtained during patients’ sleep of- ten suffer from data losses, interferences and artefacts. In a typical sleep scoring session, artifact-corrupted signal segments are visually detected and removed from further consideration. We developed a novel framework for automated artifact detection and signal restoration, based on the redundancy among respiratory flow signals. The signals focused on are the airflow (thermistor sensors) and nasal pressure signals that are clinically significant in detecting respira- tory disturbances. We treat the respiratory system as a dynamical system, and use the celebrated Takens embedding theorem as the theoretical basis for sig- nal prediction. In this study, we categorise commonly occurring artefacts and distortions in the airflow and nasal pressure measurements into several groups and explore the efficacy of the proposed technique in detecting/recovering them. Results we obtained from a database of clinical PSG signals indicated that theproposed technique can detect artefacts/distortions with a sensitivity >88% and specificity >92%. This work has the potential to simplify the work done by sleep scoring technicians, and also to improve automated sleep scoring methods. During the next phase of the thesis we have investigated the diagnostic ability of single – and dual–channel respiratory flow measuring devices. Recent studies have shown that single channel respiratory flow measurements can be used for automated diagnosis/screening for sleep disordered breathing (SDB) diseases. Improvements for reliable home-based monitoring for SDB may be achieved with the use of predictors based on recurrence quantification analysis (RQA). RQA essentially measures the complex structures present in a time series and are relatively independent of the nonlinearities present in the respiratory measurements such as those due to breathing nonlinearities and sensor movements. The nasal pressure, thermistor-based airflow, abdominal movement and thoracic movement measurements obtained during Polysomnography, were used in this study to implement an algorithm for automated screening for SDB diseases. The algorithm predicts SDB-affected measurement segments using twelve features based on RQA, body mass index (BMI) and neck circumference using mixture discriminant analysis (MDA). The rate of SDB affected segments of data per hour of recording (RDIS) is used as a measure for the diagnosis of SDB diseases. The operating points to be chosen were the prior probability of SDB affected data segments (π1) and the RDIS threshold value, above which a patient is predicted to have a SDB disease. Cross-validation with five-folds, stratified based on the RDI values of the recordings, was used in estimating the operating points. Sensitivity and specificity rates for the final classifier were estimated using a two-layer assessment approach with the operating points chosen at the inner layer using five-fold cross-validation and the choice assessed at the outer layer using repeated learning-testing. The nasal pressure measurement showed higher accuracy compared to other respiratory measurements when used alone. The nasal pressure and thoracic movement measurements were identified as the best pair of measurements to be used in a dual channel device. The estimated sensitivity and specificity (standard error) in diagnosing SDB disease (RDI ≥ 15) are 90.3(3.1)% and 88.3(5.5)% when nasal pressure is used alone and together with the thoracic movement it was 89.5(3.7)% and 100.0(0.0)%. Present results suggest that RQA of a single respiratory measurement has potential to be used in an automated SDB screening device, while with dual-channel more reliable accuracy can be expected. Improvements may be possible by including other RQA based features and optimisation of the parameters.

Introdução: A obesidade é um problema de saúde pública em crescimento, sendo o principal fator de risco para os transtornos respiratórios durante o sono (TRS), como a apneia obstrutiva do sono (AOS) e a hipoventilação noturna. A cirurgia bariátrica se consolidou como possibilidade terapêutica para a obesidade significativa. A identificação precoce dos TRS na fase pré-operatória é essencial, pois acarretam um risco aumentado de complicações perioperatórias. Diversas propostas de triagem dos TRS com abordagens mais simplificadas em relação à polissonografia (PSG) têm surgido na literatura nos últimos anos, nem todas avaliadas em uma população de pacientes obesos. Objetivo: Determinar os padrões ventilatórios em obesos candidatos à cirurgia bariátrica e avaliar três estratégias de rastreamento de TRS nessa população. Métodos: Os critérios de inclusão foram pacientes com idade ≥18 anos com obesidade graus III [índice de massa corporal (IMC) ≥40 kg/m2] ou II (IMC ≥35 kg/m2) com comorbidades relacionadas à obesidade encaminhados para avaliação para cirurgia bariátrica. Foram excluídos pacientes com cardiopatia e/ou pneumopatia graves ou descompensadas. Foram avaliados 91 pacientes através de três estratégias: (1) Clínica [Escala de Sonolência de Epworth e questionários STOP-Bang, Berlim e Sleep Apnea Clinical Score (SACS), acrescidos de gasometria arterial (GA)]; (2) Oximetria (holter de oximetria durante o sono e GA) e (3) Portátil [monitorização portátil (MP) durante o sono e capnografia)]. Todos os testes realizados foram comparados com o teste padrão, a PSG, para o diagnóstico de AOS. Resultados: A amostra estudada foi composta por 77 mulheres (84,6%) com média de idade de 44,7 ± 11,5 anos e de IMC de 50,1 ± 8,2 kg/m2. Os padrões ventilatórios identificados foram ronco, hipoxemia isolada durante o sono, AOS e hipoventilação noturna em associação com AOS. Os dados polissonográficos evidenciaram AOS em 67 de 87 pacientes (77%), sendo 26 com transtorno leve, 19 moderado e 22 grave. Vinte pacientes (23%) tiveram diagnóstico de ronco e dois deles também apresentaram hipoxemia isolada durante o sono sem AOS ou hipoventilação concomitantes. Hipoventilação noturna associada com AOS foi identificada por capnografia em um paciente. Na Estratégia Clínica, o melhor resultado alcançado foi com o escore STOP-Bang ≥6 em pacientes com índice de apneia hipopneia (IAH) ≥30 (acurácia total de 82,8%). Na Estratégia Oximetria, os pontos de corte com maior sensibilidade e especificidade para IAH ≥5, ≥10, ≥15 e ≥30 foram tempo total de registro com saturação periférica de oxigênio (SpO2) <90% por, pelo menos, 5 minutos; índice de dessaturação (ID)3% ≥22 dessaturações/hora de registro e ID4% ≥10 e ≥15 dessaturações/hora de registro. Todas as áreas sobre a curva (ASC) situaram-se acima de 0,850. Para um IAH ≥5, o ID4% ≥10 apresentou sensibilidade de 97%, especificidade de 73,7%, valor preditivo positivo de 92,8% e negativo de 87,5% e acurácia total de 91,8%. Na Estratégia Portátil, o índice de distúrbios respiratórios (IDR) foi um bom preditor de AOS nos variados pontos de corte de IAH (ASC de 0,952 a 0,995). As melhores sensibilidades e especificidades foram alcançadas em pontos de corte semelhantes de IDR e IAH, especialmente nos extratos de IAH ≥10 e ≥30. A acurácia total máxima foi de 93,9% para IDR ≥5, ≥10 e ≥30 nos seus correspondentes IAH. Baseados nesses resultados, foram testadas estratégias combinadas compostas pelo questionário STOP-Bang ≥6 com ID4% ≥10 ou ≥15. O melhor equilíbrio entre sensibilidade e especificidade e a maior acurácia foram obtidos com a estratégia STOP-Bang ≥6 com ID4% ≥15 em AOS grave. Conclusões: A frequência de ocorrência de TRS nos obesos em avaliação para cirurgia bariátrica foi alta, sendo a AOS o transtorno mais encontrado. Os questionários disponíveis até o momento, isoladamente, parecem ser insuficientes para o rastreamento de AOS nessa população, à exceção do STOP-Bang ≥6 em pacientes com AOS grave. O uso de uma medida fisiológica objetiva expressa pelo holter de oximetria foi útil para rastrear AOS em pacientes obesos. A MP apresentou acurácia aumentada, especialmente nos extremos de valores de IAH, com resultados comparáveis aos da PSG. A PSG poderia ser reservada apenas para confirmação diagnóstica em casos selecionados. / Introduction: Obesity is a growing public health problem and the main risk factor for sleep-disordered breathing (SDB), including obstructive sleep apnea (OSA) and nocturnal hypoventilation. Bariatric surgery has become an option for the treatment of significant obesity. Early detection of SDB preoperatively is essential, since these disorders are associated with an increased risk of perioperative complications. Several screening tools for SDB, with a more simplified approach than polysomnography (PSG), have been proposed in recent years, but not all of them have been evaluated in a population of obese patients. Objective: To determine ventilatory patterns in obese candidates for bariatric surgery and evaluate three SDB screening strategies in this population. Methods: Eligible participants were all patients aged ≥18 years with grade III (body mass index [BMI] ≥ 40kg/m2) or grade II (BMI ≥35 kg/m2) obesity and obesity-related comorbidities who were referred for evaluation for bariatric surgery. Exclusion criteria were heart disease and/or severe or decompensated pulmonary disease. Ninety-one patients were evaluated by three strategies: (1) Clinical (Epworth Sleepiness Scale and STOP-Bang questionnaire, Berlin questionnaire and Sleep Apnea Clinical Score [SACS] plus blood gas analysis [BGA]); (2) Oximetry (overnight Holter-oximeter monitoring and BGA); and (3) Portable (overnight portable monitoring and capnography). All tests were compared with the gold standard, PSG, for the diagnosis of OSA. Results: The sample consisted of 77 women (84.6%) with a mean (SD) age of 44.7 (11.5) years and BMI of 50.1 (8.2) kg/m2. The ventilatory patterns identified were snoring, isolated nocturnal hypoxemia, OSA, and nocturnal hypoventilation associated with OSA. Polysomnographic data showed OSA in 67 of 87 patients (77%), 26 with mild, 19 with moderate and 22 with severe disorder. Twenty patients (23%) had a diagnosis of snoring, and two of them also had isolated nocturnal hypoxemia without concomitant OSA or hypoventilation. Nocturnal hypoventilation associated with OSA was detected by capnography in one patient. In the Clinical Strategy, the best result was obtained with the STOP-Bang score ≥6 in patients with an apnea-hypopnea index (AHI) ≥30 (overall accuracy of 82.8%). In the Oximetry Strategy, the cutoff values with the highest sensitivity and specificity for AHI ≥5, ≥10, ≥15, and ≥30 were total recording time with peripheral oxygen saturation (SpO2)< 90% for at least 5 minutes, 3% oxygen desaturation index (ODI) ≥22 desaturations/hour of recording, and 4%ODI ≥10 and ≥15 desaturations/hour of recording. All areas under the curve (AUC) were above 0.850. For AHI ≥5, 4%ODI ≥10 had a sensitivity of 97%, specificity of 73.7%, positive predictive value of 92.8%, negative predictive value of 87.5%, and overall accuracy of 91.8%. In the Portable Strategy, the respiratory disturbance index (RDI) was a good predictor of OSA in various cutoff values of AHI (AUC of 0.952 to 0.995). The highest sensitivity and specificity were obtained at similar cutoff values for RDI and AHI, especially for AHI ≥10 and ≥30. The maximum overall accuracy was 93.9% for RDI ≥5, ≥10, and ≥30 in their corresponding AHI. Based on these results, combined strategies were tested consisting of the STOP-Bang score ≥6 combined with 4%ODI ≥10 or ≥15. The best balance between sensibility and specificity and the maximum accuracy were achieved with the strategy composed by STOP-Bang ≥6 and 4%ODI ≥15 in patients with severe OSA. Conclusions: The frequency of occurrence of SDB in obese individuals undergoing evaluation for bariatric surgery was high, and OSA was the most frequent occurrence. Currently available questionnaires were insufficient to screen for OSA in this population, with the exception for the STOP-Bang score ≥6 in patients with severe OSA. The use of an objective physiological measure, such as Holter-oximetry monitoring, was useful as a screening tool for OSA in obese patients. Portable monitoring showed increased accuracy, especially in extreme AHI values, with results comparable to those obtained with PSG. The PSG could be reserved only for certain cases where diagnostic confirmation is necessary.

Introdução: A obesidade é um problema de saúde pública em crescimento, sendo o principal fator de risco para os transtornos respiratórios durante o sono (TRS), como a apneia obstrutiva do sono (AOS) e a hipoventilação noturna. A cirurgia bariátrica se consolidou como possibilidade terapêutica para a obesidade significativa. A identificação precoce dos TRS na fase pré-operatória é essencial, pois acarretam um risco aumentado de complicações perioperatórias. Diversas propostas de triagem dos TRS com abordagens mais simplificadas em relação à polissonografia (PSG) têm surgido na literatura nos últimos anos, nem todas avaliadas em uma população de pacientes obesos. Objetivo: Determinar os padrões ventilatórios em obesos candidatos à cirurgia bariátrica e avaliar três estratégias de rastreamento de TRS nessa população. Métodos: Os critérios de inclusão foram pacientes com idade ≥18 anos com obesidade graus III [índice de massa corporal (IMC) ≥40 kg/m2] ou II (IMC ≥35 kg/m2) com comorbidades relacionadas à obesidade encaminhados para avaliação para cirurgia bariátrica. Foram excluídos pacientes com cardiopatia e/ou pneumopatia graves ou descompensadas. Foram avaliados 91 pacientes através de três estratégias: (1) Clínica [Escala de Sonolência de Epworth e questionários STOP-Bang, Berlim e Sleep Apnea Clinical Score (SACS), acrescidos de gasometria arterial (GA)]; (2) Oximetria (holter de oximetria durante o sono e GA) e (3) Portátil [monitorização portátil (MP) durante o sono e capnografia)]. Todos os testes realizados foram comparados com o teste padrão, a PSG, para o diagnóstico de AOS. Resultados: A amostra estudada foi composta por 77 mulheres (84,6%) com média de idade de 44,7 ± 11,5 anos e de IMC de 50,1 ± 8,2 kg/m2. Os padrões ventilatórios identificados foram ronco, hipoxemia isolada durante o sono, AOS e hipoventilação noturna em associação com AOS. Os dados polissonográficos evidenciaram AOS em 67 de 87 pacientes (77%), sendo 26 com transtorno leve, 19 moderado e 22 grave. Vinte pacientes (23%) tiveram diagnóstico de ronco e dois deles também apresentaram hipoxemia isolada durante o sono sem AOS ou hipoventilação concomitantes. Hipoventilação noturna associada com AOS foi identificada por capnografia em um paciente. Na Estratégia Clínica, o melhor resultado alcançado foi com o escore STOP-Bang ≥6 em pacientes com índice de apneia hipopneia (IAH) ≥30 (acurácia total de 82,8%). Na Estratégia Oximetria, os pontos de corte com maior sensibilidade e especificidade para IAH ≥5, ≥10, ≥15 e ≥30 foram tempo total de registro com saturação periférica de oxigênio (SpO2) <90% por, pelo menos, 5 minutos; índice de dessaturação (ID)3% ≥22 dessaturações/hora de registro e ID4% ≥10 e ≥15 dessaturações/hora de registro. Todas as áreas sobre a curva (ASC) situaram-se acima de 0,850. Para um IAH ≥5, o ID4% ≥10 apresentou sensibilidade de 97%, especificidade de 73,7%, valor preditivo positivo de 92,8% e negativo de 87,5% e acurácia total de 91,8%. Na Estratégia Portátil, o índice de distúrbios respiratórios (IDR) foi um bom preditor de AOS nos variados pontos de corte de IAH (ASC de 0,952 a 0,995). As melhores sensibilidades e especificidades foram alcançadas em pontos de corte semelhantes de IDR e IAH, especialmente nos extratos de IAH ≥10 e ≥30. A acurácia total máxima foi de 93,9% para IDR ≥5, ≥10 e ≥30 nos seus correspondentes IAH. Baseados nesses resultados, foram testadas estratégias combinadas compostas pelo questionário STOP-Bang ≥6 com ID4% ≥10 ou ≥15. O melhor equilíbrio entre sensibilidade e especificidade e a maior acurácia foram obtidos com a estratégia STOP-Bang ≥6 com ID4% ≥15 em AOS grave. Conclusões: A frequência de ocorrência de TRS nos obesos em avaliação para cirurgia bariátrica foi alta, sendo a AOS o transtorno mais encontrado. Os questionários disponíveis até o momento, isoladamente, parecem ser insuficientes para o rastreamento de AOS nessa população, à exceção do STOP-Bang ≥6 em pacientes com AOS grave. O uso de uma medida fisiológica objetiva expressa pelo holter de oximetria foi útil para rastrear AOS em pacientes obesos. A MP apresentou acurácia aumentada, especialmente nos extremos de valores de IAH, com resultados comparáveis aos da PSG. A PSG poderia ser reservada apenas para confirmação diagnóstica em casos selecionados. / Introduction: Obesity is a growing public health problem and the main risk factor for sleep-disordered breathing (SDB), including obstructive sleep apnea (OSA) and nocturnal hypoventilation. Bariatric surgery has become an option for the treatment of significant obesity. Early detection of SDB preoperatively is essential, since these disorders are associated with an increased risk of perioperative complications. Several screening tools for SDB, with a more simplified approach than polysomnography (PSG), have been proposed in recent years, but not all of them have been evaluated in a population of obese patients. Objective: To determine ventilatory patterns in obese candidates for bariatric surgery and evaluate three SDB screening strategies in this population. Methods: Eligible participants were all patients aged ≥18 years with grade III (body mass index [BMI] ≥ 40kg/m2) or grade II (BMI ≥35 kg/m2) obesity and obesity-related comorbidities who were referred for evaluation for bariatric surgery. Exclusion criteria were heart disease and/or severe or decompensated pulmonary disease. Ninety-one patients were evaluated by three strategies: (1) Clinical (Epworth Sleepiness Scale and STOP-Bang questionnaire, Berlin questionnaire and Sleep Apnea Clinical Score [SACS] plus blood gas analysis [BGA]); (2) Oximetry (overnight Holter-oximeter monitoring and BGA); and (3) Portable (overnight portable monitoring and capnography). All tests were compared with the gold standard, PSG, for the diagnosis of OSA. Results: The sample consisted of 77 women (84.6%) with a mean (SD) age of 44.7 (11.5) years and BMI of 50.1 (8.2) kg/m2. The ventilatory patterns identified were snoring, isolated nocturnal hypoxemia, OSA, and nocturnal hypoventilation associated with OSA. Polysomnographic data showed OSA in 67 of 87 patients (77%), 26 with mild, 19 with moderate and 22 with severe disorder. Twenty patients (23%) had a diagnosis of snoring, and two of them also had isolated nocturnal hypoxemia without concomitant OSA or hypoventilation. Nocturnal hypoventilation associated with OSA was detected by capnography in one patient. In the Clinical Strategy, the best result was obtained with the STOP-Bang score ≥6 in patients with an apnea-hypopnea index (AHI) ≥30 (overall accuracy of 82.8%). In the Oximetry Strategy, the cutoff values with the highest sensitivity and specificity for AHI ≥5, ≥10, ≥15, and ≥30 were total recording time with peripheral oxygen saturation (SpO2)< 90% for at least 5 minutes, 3% oxygen desaturation index (ODI) ≥22 desaturations/hour of recording, and 4%ODI ≥10 and ≥15 desaturations/hour of recording. All areas under the curve (AUC) were above 0.850. For AHI ≥5, 4%ODI ≥10 had a sensitivity of 97%, specificity of 73.7%, positive predictive value of 92.8%, negative predictive value of 87.5%, and overall accuracy of 91.8%. In the Portable Strategy, the respiratory disturbance index (RDI) was a good predictor of OSA in various cutoff values of AHI (AUC of 0.952 to 0.995). The highest sensitivity and specificity were obtained at similar cutoff values for RDI and AHI, especially for AHI ≥10 and ≥30. The maximum overall accuracy was 93.9% for RDI ≥5, ≥10, and ≥30 in their corresponding AHI. Based on these results, combined strategies were tested consisting of the STOP-Bang score ≥6 combined with 4%ODI ≥10 or ≥15. The best balance between sensibility and specificity and the maximum accuracy were achieved with the strategy composed by STOP-Bang ≥6 and 4%ODI ≥15 in patients with severe OSA. Conclusions: The frequency of occurrence of SDB in obese individuals undergoing evaluation for bariatric surgery was high, and OSA was the most frequent occurrence. Currently available questionnaires were insufficient to screen for OSA in this population, with the exception for the STOP-Bang score ≥6 in patients with severe OSA. The use of an objective physiological measure, such as Holter-oximetry monitoring, was useful as a screening tool for OSA in obese patients. Portable monitoring showed increased accuracy, especially in extreme AHI values, with results comparable to those obtained with PSG. The PSG could be reserved only for certain cases where diagnostic confirmation is necessary.

A população idosa possui alta prevalência de edentulismo e, conseqüentemente, é afetada por problemas a ele associados. A perda da dimensão vertical de oclusão (DVO) é um destes problemas que compromete o desempenho do sistema estomatognático. Logo, doenças relacionadas ao colapso da musculatura, como a síndrome da apnéia obstrutiva do sono (SAOS), tornam-se enfermidades relevantes para pacientes nesta faixa etária. Sendo assim, medidas terapêuticas eficazes e de baixo custo, como a utilização de um dispositivo intraoral (DIO) para liberação do fluxo aéreo, devem ser empregadas contribuindo para a qualidade do sono destes pacientes. A intenção deste estudo foi avaliar a efetividade subjetiva e objetiva do aumento da DVO, em 19 pacientes idosos, portadores de próteses totais (PTs) bimaxilares, antes e depois da terapia com o dispositivo intraoral (DIO), especialmente desenvolvido para aumentar a DVO, sem provocar avanço mandibular. Para isso, questionários de rastreamento da qualidade do sono e polissonografias foram realizadas, em três momentos distintos: momento basal sem PTs, momento com PTs e momento com DIO. Concluiu-se que o DIO testado pode contribuir para uma melhor qualidade de sono dos pacientes e dos parceiros do sono, na medida em que levou à diminuição significativa do ronco e elevada preferência pelo uso do DIO para dormir. No entanto, a utilização do DIO, para esta amostra, não melhorou significativamente os parâmetros polissonográficos em relação ao momento basal (sem prótese) e, portanto, não pode ser indicado como tratamento para a SAOS. Assim sendo, novos estudos envolvendo análise do diâmetro da via aérea superior (VAS) e efeitos colaterais são necessários, para terapia de SAOS, em pacientes portadores de PTs bimaxilares. / There is a high prevalence of edentulism and problems associated to it in the elderly population. A decrease in occlusal vertical dimension (OVD) is one of such problems which hinder the stomatognathic system. Therefore, it is important to investigate disorders associated with the weakening of musculature, such as the obstructive sleep apnea syndrome (OSAS), in such patients. Therapeutic measures of low cost and high efficacy, such as intraoral devices (ID), are needed in order to remove the obstruction of airway flow and improve the patients sleep quality. The present study aimed to assess the subjective and objective effectiveness of an ID, specially designed to increase OVD avoiding mandibular protrusion, in 19 elderly patients who wore upper and lower full dentures (FD), before and after therapy. For this purpose, sleep quality was analyzed using questionnaires and polysomnography at three distinct moments: baseline without FDs, with FDs, and with ID. It was possible to conclude that the ID tested can contribute to the improvement of the quality of sleep in patients as well as in their partners, as it significantly decreased snoring; the participants referred that they preferred to use the ID to sleep. However, the use of ID in this sample of people did not significantly improve the parameters assessed in polysomnography, when compared to the baseline (without FDs) and, therefore, should not be used as treatment for OSAS. Thus, further studies are needed in order to better evaluate dimensions of the upper airways as well as side effects for OSAS therapy in patients who wear upper and lower FDs.

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Made available in DSpace on 2016-12-23T13:54:31Z (GMT). No. of bitstreams: 1 Bruna Santos Fiorott- Parte 1.pdf: 265520 bytes, checksum: 02eca7894817a793ccf029818df1e5c0 (MD5) Previous issue date: 2012-07-13 / Introduction: Mouth breathing pattern in children may have negative physical, psychological and social effects according to the intensity and duration. The relationship between mouth breathing and sleep-disordered breathing (SDB) is derived from clinical conditions ranging in increasing severity from primary snoring, to upper airway resistance syndrome and obstructive sleep apnea syndrome. The main cause of mouth breathing and SDB is associated to narrowing of the upper airway in varying degrees. This association is of concern due to its immediate or late clinical implications like disturbances in craniofacial growth, behavioral changes, impaired learning and cognitive functions, negatively influencing quality of life. Objective: Assess the prevalence of mouth breathers (MB) and the presence of facial anatomical changes that affect children with SDB, in addition to assessing self-perceived quality of life of MB. Methodology: A cross-sectional observational sample of 687 students from public schools, aged 6-12 years old, evaluated by medical history, clinical examination and lip seal tests. Self-perceived quality of life of MB was obtained through questionnaire (Ribeiro, 2006). Results: In the total sample, 520 (75,7%) students were nasal breathers and 167 (24,3%) were MB. Among MB, 40,1% had obstructive hypertrophy of the palatine tonsils, 26,4% had Mallampati score III and IV, 35,3% has excessive overjet, 23,4% had anterior open bite, 15,6% had posterior crossbite, 53.9% had atresic palate, 35.9% had interlabial gap, 31% reported problems related to sleep and 9,0% reported having the feeling of stop breathing while asleep. Conclusion: The prevalence of facial anatomical and functional changes in mouth breathers students was high, however the self-perception of quality of life was considered good. It is recommended the adoption of public health policies aimed at diagnosis, counseling and treatment of students at this age group, in which the relief of signs and symptoms can promote normal craniofacial growth and reduce future risk of SDB / Introdução: O padrão de respiração bucal em crianças pode gerar repercussões negativas de impacto físico, psicológico e social. A relação da respiração bucal com os distúrbios respiratórios obstrutivo do sono (DROS) é proveniente de condições clínicas que variam em gravidade crescente desde o ronco primário, a síndrome da resistência da via aérea superior até a síndrome da apneia obstrutiva do sono. A principal causa da respiração bucal e dos DROS está associada ao estreitamento da via aérea superior em diferentes graus. Essa associação é preocupante por apresentar repercussões clínicas imediatas e/ou tardias de distúrbios no crescimento e desenvolvimento craniofacial, alterações do comportamento, prejuízo do aprendizado e de funções cognitivas, influenciando negativamente a qualidade de vida. Objetivo: Verificar a prevalência de escolares respiradores bucais (RB) e a presença de alterações faciais comuns em crianças que apresentam DROS, além de avaliar a autopercepção da qualidade de vida. Metodologia: Estudo transversal, observacional com amostra de 687 escolares, na faixa etária de 6 a 12 anos de idade, matriculados em escolas municipais de ensino fundamental de Vitória, ES, avaliados através de anamnese, exame clínico e testes de permanência de selamento labial. O questionário de qualidade de vida do respirador bucal (Ribeiro, 2006) foi empregado para verificar a autopercepção da qualidade de vida dos escolares diagnosticados com respiração bucal. Resultados: Na amostra total, 520 (75,7%) escolares foram classificados como respiradores nasais (RN) e 167 como RB (24,3%). Dentre os RB, 40,1% apresentaram hipertrofia obstrutiva das tonsilas palatinas, 26,4% apresentaram índice de Mallampati graus III e IV e más oclusões como: sobressaliência exagerada (35,3%), mordida aberta anterior (23,4%), mordida cruzada posterior (15,6%), palato atrésico (53,9%), ausência de selamento labial (35,9%); além de 31% terem relatado problemas relativos ao sono e 9% relataram ter a sensação de parar de respirar enquanto dormia. Conclusão: A prevalência de alterações faciais anatômicas e funcionais nos RB foi elevada, entretanto a autopercepção da qualidade de vida foi considerada boa. Recomenda-se a adoção de políticas de saúde publica visando diagnóstico, orientação e tratamento de escolares nessa faixa etária, na qual o alivio dos sinais e sintomas proporciona o crescimento normal das estruturas craniofaciais e reduz os riscos de DROS no futuro

A população idosa possui alta prevalência de edentulismo e, conseqüentemente, é afetada por problemas a ele associados. A perda da dimensão vertical de oclusão (DVO) é um destes problemas que compromete o desempenho do sistema estomatognático. Logo, doenças relacionadas ao colapso da musculatura, como a síndrome da apnéia obstrutiva do sono (SAOS), tornam-se enfermidades relevantes para pacientes nesta faixa etária. Sendo assim, medidas terapêuticas eficazes e de baixo custo, como a utilização de um dispositivo intraoral (DIO) para liberação do fluxo aéreo, devem ser empregadas contribuindo para a qualidade do sono destes pacientes. A intenção deste estudo foi avaliar a efetividade subjetiva e objetiva do aumento da DVO, em 19 pacientes idosos, portadores de próteses totais (PTs) bimaxilares, antes e depois da terapia com o dispositivo intraoral (DIO), especialmente desenvolvido para aumentar a DVO, sem provocar avanço mandibular. Para isso, questionários de rastreamento da qualidade do sono e polissonografias foram realizadas, em três momentos distintos: momento basal sem PTs, momento com PTs e momento com DIO. Concluiu-se que o DIO testado pode contribuir para uma melhor qualidade de sono dos pacientes e dos parceiros do sono, na medida em que levou à diminuição significativa do ronco e elevada preferência pelo uso do DIO para dormir. No entanto, a utilização do DIO, para esta amostra, não melhorou significativamente os parâmetros polissonográficos em relação ao momento basal (sem prótese) e, portanto, não pode ser indicado como tratamento para a SAOS. Assim sendo, novos estudos envolvendo análise do diâmetro da via aérea superior (VAS) e efeitos colaterais são necessários, para terapia de SAOS, em pacientes portadores de PTs bimaxilares. / There is a high prevalence of edentulism and problems associated to it in the elderly population. A decrease in occlusal vertical dimension (OVD) is one of such problems which hinder the stomatognathic system. Therefore, it is important to investigate disorders associated with the weakening of musculature, such as the obstructive sleep apnea syndrome (OSAS), in such patients. Therapeutic measures of low cost and high efficacy, such as intraoral devices (ID), are needed in order to remove the obstruction of airway flow and improve the patients sleep quality. The present study aimed to assess the subjective and objective effectiveness of an ID, specially designed to increase OVD avoiding mandibular protrusion, in 19 elderly patients who wore upper and lower full dentures (FD), before and after therapy. For this purpose, sleep quality was analyzed using questionnaires and polysomnography at three distinct moments: baseline without FDs, with FDs, and with ID. It was possible to conclude that the ID tested can contribute to the improvement of the quality of sleep in patients as well as in their partners, as it significantly decreased snoring; the participants referred that they preferred to use the ID to sleep. However, the use of ID in this sample of people did not significantly improve the parameters assessed in polysomnography, when compared to the baseline (without FDs) and, therefore, should not be used as treatment for OSAS. Thus, further studies are needed in order to better evaluate dimensions of the upper airways as well as side effects for OSAS therapy in patients who wear upper and lower FDs.