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Furundarena-Padrones L, Cabriada-Nuño V, Brunsó-Casellas J, Garcia-Fernandez RI, Castro-Quintas S, Santos-Zorrozúa B, González-Zapico G, Calvo-Guirado JL, De-Carlos-Villafranca F. Correlation between polysomnographic parameters and volumetric changes generated by maxillomandibular advancement surgery in patients with obstructive sleep apnea: a fluid dynamics study. J Clin Sleep Med 2024; 20:371-379. [PMID: 37861401 PMCID: PMC11019223 DOI: 10.5664/jcsm.10874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 10/13/2023] [Accepted: 10/13/2023] [Indexed: 10/21/2023]
Abstract
STUDY OBJECTIVES Maxillomandibular advancement surgery (MMA) is a therapeutic option for obstructive sleep apnea (OSA). The main objective of this study was to determine the impact of MMA on the physical and airflow characteristics of the upper airway based on data obtained by computational fluid dynamics (CFD) and to correlate these data with polysomnography parameters. Other objectives included the identification of presurgical variables that could help avoid surgeries likely to have a low success rate. METHODS This was a retrospective observational study of 18 patients with moderate-severe OSA who underwent MMA. Polysomnography and computed axial tomography imaging were performed before and after the surgery. Three-dimensional models for CFD study were made based on the images obtained. RESULTS MMA achieved an average increase in airway volume of 43.75%, with a mean decrease in the maximum airway velocity of 40.3%. We found significant correlations between improved apnea-hypopnea index values and both the increase in airway volume and decrease in maximum airway speed. Patients with a maximum velocity of less than 7.2 m/s before the intervention had a high rate of surgical failure (43%). CONCLUSIONS MMA generates a significant increase in the volume of the upper airway, which was associated with improved flow conditions in the CFD simulation. These findings also correlated with improved polysomnography parameters. Thus, CFD simulation on three-dimensional anatomical models of patients with OSA could contribute to the better selection of candidates for MMA. CITATION Furundarena-Padrones L, Cabriada-Nuño V, Brunsó-Casellas J, et al. Correlation between polysomnographic parameters and volumetric changes generated by maxillomandibular advancement surgery in patients with obstructive sleep apnea: a fluid dynamics study. J Clin Sleep Med. 2024;20(3):371-379.
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Affiliation(s)
| | - Valentín Cabriada-Nuño
- Pneumology Service, Biocruces Bizkaia Health Research Institute, Cruces University Hospital, Barakaldo, Bizkaia, Spain
- Medicine Department, Faculty of Medicine and Nursing, University of the Basque Country UPV/EHU, Bizkaia, Spain
| | - Joan Brunsó-Casellas
- Maxillofacial Surgery Department, Cruces University Hospital, Barakaldo, Bizkaia, Spain
| | - Ruben Israel Garcia-Fernandez
- 3D Printing and Bioprinting Laboratory, Biocruces Bizkaia Health Research Institute, Innovation and Quality Department, Cruces University Hospital, Barakaldo, Bizkaia, Spain
| | - Sonia Castro-Quintas
- Pneumology Service, Biocruces Bizkaia Health Research Institute, Cruces University Hospital, Barakaldo, Bizkaia, Spain
- Medicine Department, Faculty of Medicine and Nursing, University of the Basque Country UPV/EHU, Bizkaia, Spain
| | - Borja Santos-Zorrozúa
- Scientific Coordination Unit, Cruces University Hospital, Osakidetza, Barakaldo, Bizkaia, Spain
| | | | | | - Felix De-Carlos-Villafranca
- Surgery and Medical-Surgical Specialties Department, Area of Orthodontics, Faculty of Medicine, University of Oviedo, Oviedo, Spain
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Ye Z, Peng J, Zhang X, Song L. Identification of OSAHS patients based on ReliefF-mRMR feature selection. Phys Eng Sci Med 2024; 47:99-108. [PMID: 37878092 DOI: 10.1007/s13246-023-01345-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 10/09/2023] [Indexed: 10/26/2023]
Abstract
Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS) is a serious chronic sleep disorder. Snoring is a common and easily observable symptom of OSAHS patients. The purpose of this work is to identify OSAHS patients by analyzing the acoustic characteristics of snoring sounds throughout the entire night. Ten types of acoustic features, such as Mel-frequency cepstral coefficients (MFCC), linear prediction coefficients (LPC) and spectral entropy among others, were extracted from the snoring sounds. A fused feature selection algorithm based on ReliefF and Max-Relevance and Min-Redundancy (mRMR) was proposed for optimal feature set selection. Four types of machine learning models were then applied to validate the effectiveness of OSAHS patient identification. The results show that the proposed feature selection algorithm can effectively select features with high contribution, including MFCC and LPC. Based on the selected top-20 features and using a support vector machine model, the accuracies in identifying OSAHS patients under the thresholds of AHI = 5,15, and 30, were 100%, 100%, and 98.94%, respectively. This indicates that the proposed model can effectively identify OSAHS patients.
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Affiliation(s)
- Ziqiang Ye
- School of Physics and Optoelectronics, South China University of Technology, Guangzhou, 510640, China
| | - Jianxin Peng
- School of Physics and Optoelectronics, South China University of Technology, Guangzhou, 510640, China.
| | - Xiaowen Zhang
- State Key Laboratory of Respiratory Disease, Department of Otolaryngology-Head and Neck Surgery, Laboratory of ENT-HNS Disease, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510120, China
| | - Lijuan Song
- State Key Laboratory of Respiratory Disease, Department of Otolaryngology-Head and Neck Surgery, Laboratory of ENT-HNS Disease, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510120, China
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Henríquez-Beltrán M, Dreyse J, Jorquera J, Weissglas B, Del Rio J, Cendoya M, Jorquera-Diaz J, Salas C, Fernandez-Bussy I, Labarca G. Is the time below 90% of SpO 2 during sleep (T90%) a metric of good health? A longitudinal analysis of two cohorts. Sleep Breath 2024; 28:281-289. [PMID: 37656346 DOI: 10.1007/s11325-023-02909-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 05/17/2023] [Accepted: 08/21/2023] [Indexed: 09/02/2023]
Abstract
BACKGROUND Novel wireless-based technologies can easily record pulse oximetry at home. One of the main parameters that are recorded in sleep studies is the time under 90% of SpO2 (T90%) and the oxygen desaturation index 3% (ODI-3%). We assessed the association of T90% and/or ODI-3% in two different scenarios (a community-based study and a clinical setting) with all-cause mortality (primary outcome). METHODS We included all individuals from the Sleep Heart Health Study (SHHS, community-based cohort) and Santiago Obstructive Sleep Apnea (SantOSA, clinical cohort) with complete data at baseline and follow-up. Two measures of hypoxemia (T90% and ODI-3%) were our primary exposures. The adjusted hazard ratios (HRs) per standard deviation (pSD) between T90% and incident all-cause mortality (primary outcome) were determined by adjusted Cox regression models. In the secondary analysis, to assess whether T90% varies across clinical factors, anthropometrics, abdominal obesity, metabolic rate, and SpO2, we conducted linear regression models. Incremental changes in R2 were conducted to test the hypothesis. RESULTS A total of 4323 (56% male, median 64 years old, follow-up: 12 years, 23% events) and 1345 (77% male, median 55 years old, follow-up: 6 years, 11.6% events) patients were included in SHHS and SantOSA, respectively. Every 1 SD increase in T90% was associated with an adjusted HR of 1.18 [95% CI: 1.10-1.26] (p value < 0.001) in SHHS and HR 1.34 [95% CI: 1.04-1.71] (p value = 0.021) for all-cause mortality in SantOSA. Conversely, ODI-3% was not associated with worse outcomes. R2 explains 62% of the variability in T90%. The main contributors were baseline-mean change in SpO2, baseline SpO2, respiratory events, and age. CONCLUSION The findings suggest that T90% may be an important marker of wellness in clinical and community-based scenarios. Although this nonspecific metric varies across the populations, ventilatory changes during sleep rather than other physiological or comorbidity variables explain their variability.
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Affiliation(s)
- Mario Henríquez-Beltrán
- Nucleo de Investigacion en Ciencias de la Salud, Universidad Adventista de Chile, Chillan, Chile
| | - Jorge Dreyse
- Centro de Enfermedades Respiratorias, Clínica Las Condes, Universidad Finis Terrae, Santiago, Chile
| | - Jorge Jorquera
- Centro de Enfermedades Respiratorias, Clínica Las Condes, Universidad Finis Terrae, Santiago, Chile
| | - Bunio Weissglas
- Facultad de Medicina, Universidad de Concepción, Concepción, Chile
| | - Javiera Del Rio
- Facultad de Medicina, Universidad de Concepción, Concepción, Chile
| | | | | | - Constanza Salas
- Centro de Enfermedades Respiratorias, Clínica Las Condes, Universidad Finis Terrae, Santiago, Chile
| | | | - Gonzalo Labarca
- Facultad de Medicina, Universidad de Concepción, Concepción, Chile.
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, 221 Longwood Ave, Boston, MA, 02115, USA.
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Cohen O, Kundel V, Robson P, Al-Taie Z, Suárez-Fariñas M, Shah NA. Achieving Better Understanding of Obstructive Sleep Apnea Treatment Effects on Cardiovascular Disease Outcomes through Machine Learning Approaches: A Narrative Review. J Clin Med 2024; 13:1415. [PMID: 38592223 PMCID: PMC10932326 DOI: 10.3390/jcm13051415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 02/13/2024] [Accepted: 02/17/2024] [Indexed: 04/10/2024] Open
Abstract
Obstructive sleep apnea (OSA) affects almost a billion people worldwide and is associated with a myriad of adverse health outcomes. Among the most prevalent and morbid are cardiovascular diseases (CVDs). Nonetheless, randomized controlled trials (RCTs) of OSA treatment have failed to show improvements in CVD outcomes. A major limitation in our field is the lack of precision in defining OSA and specifically subgroups with the potential to benefit from therapy. Further, this has called into question the validity of using the time-honored apnea-hypopnea index as the ultimate defining criteria for OSA. Recent applications of advanced statistical methods and machine learning have brought to light a variety of OSA endotypes and phenotypes. These methods also provide an opportunity to understand the interaction between OSA and comorbid diseases for better CVD risk stratification. Lastly, machine learning and specifically heterogeneous treatment effects modeling can help uncover subgroups with differential outcomes after treatment initiation. In an era of data sharing and big data, these techniques will be at the forefront of OSA research. Advanced data science methods, such as machine-learning analyses and artificial intelligence, will improve our ability to determine the unique influence of OSA on CVD outcomes and ultimately allow us to better determine precision medicine approaches in OSA patients for CVD risk reduction. In this narrative review, we will highlight how team science via machine learning and artificial intelligence applied to existing clinical data, polysomnography, proteomics, and imaging can do just that.
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Affiliation(s)
- Oren Cohen
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (O.C.); (V.K.)
| | - Vaishnavi Kundel
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (O.C.); (V.K.)
| | - Philip Robson
- Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA;
| | - Zainab Al-Taie
- Center for Biostatistics, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (Z.A.-T.); (M.S.-F.)
| | - Mayte Suárez-Fariñas
- Center for Biostatistics, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (Z.A.-T.); (M.S.-F.)
| | - Neomi A. Shah
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (O.C.); (V.K.)
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Meyer EJ, Wittert GA. Approach the Patient With Obstructive Sleep Apnea and Obesity. J Clin Endocrinol Metab 2024; 109:e1267-e1279. [PMID: 37758218 PMCID: PMC10876414 DOI: 10.1210/clinem/dgad572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/31/2023] [Accepted: 09/25/2023] [Indexed: 10/03/2023]
Abstract
Obstructive sleep apnea (OSA) and obesity are highly prevalent and bidirectionally associated. OSA is underrecognized, however, particularly in women. By mechanisms that overlap with those of obesity, OSA increases the risk of developing, or having poor outcomes from, comorbid chronic disorders and impairs quality of life. Using 2 illustrative cases, we discuss the relationships between OSA and obesity with type 2 diabetes, dyslipidemia, cardiovascular disease, cognitive disturbance, mood disorders, lower urinary tract symptoms, sexual function, and reproductive disorders. The differences in OSA between men and women, the phenotypic variability of OSA, and comorbid sleep disorders are highlighted. When the probability of OSA is high due to consistent symptoms, comorbidities, or both, a diagnostic sleep study is advisable. Continuous positive airway pressure or mandibular advancement splints improve symptoms. Benefits for comorbidities are variable depending on nightly duration of use. By contrast, weight loss and optimization of lifestyle behaviors are consistently beneficial.
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Affiliation(s)
- Emily Jane Meyer
- Endocrine and Metabolic Unit, Royal Adelaide Hospital, Adelaide, SA 5000, Australia
- Endocrine and Diabetes Services, The Queen Elizabeth Hospital, Woodville South, SA 5011, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, SA 5000, Australia
| | - Gary Allen Wittert
- Endocrine and Metabolic Unit, Royal Adelaide Hospital, Adelaide, SA 5000, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, SA 5000, Australia
- Freemasons Centre for Male Health and Wellbeing, South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia
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56
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Mazzotti DR. Multimodal integration of sleep electroencephalogram, brain imaging, and cognitive assessments: approaches using noisy clinical data. Sleep 2024; 47:zsad305. [PMID: 38019853 PMCID: PMC10851849 DOI: 10.1093/sleep/zsad305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Indexed: 12/01/2023] Open
Affiliation(s)
- Diego R Mazzotti
- Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA
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Lee PL, Wu YW, Cheng HM, Wang CY, Chuang LP, Lin CH, Hang LW, Yu CC, Hung CL, Liu CL, Chou KT, Su MC, Cheng KH, Huang CY, Hou CJY, Chiu KL. Recommended assessment and management of sleep disordered breathing in patients with atrial fibrillation, hypertension and heart failure: Taiwan Society of Cardiology/Taiwan Society of sleep Medicine/Taiwan Society of pulmonary and Critical Care Medicine joint consensus statement. J Formos Med Assoc 2024; 123:159-178. [PMID: 37714768 DOI: 10.1016/j.jfma.2023.08.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 07/23/2023] [Accepted: 08/23/2023] [Indexed: 09/17/2023] Open
Abstract
Sleep disordered breathing (SDB) is highly prevalent and may be linked to cardiovascular disease in a bidirectional manner. The Taiwan Society of Cardiology, Taiwan Society of Sleep Medicine and Taiwan Society of Pulmonary and Critical Care Medicine established a task force of experts to evaluate the evidence regarding the assessment and management of SDB in patients with atrial fibrillation (AF), hypertension and heart failure with reduced ejection fraction (HFrEF). The GRADE process was used to assess the evidence associated with 15 formulated questions. The task force developed recommendations and determined strength (Strong, Weak) and direction (For, Against) based on the quality of evidence, balance of benefits and harms, patient values and preferences, and resource use. The resulting 11 recommendations are intended to guide clinicians in determining which the specific patient-care strategy should be utilized by clinicians based on the needs of individual patients.
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Affiliation(s)
- Pei-Lin Lee
- Center of Sleep Disorder, National Taiwan University Hospital, Taipei, Taiwan; School of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yen-Wen Wu
- Division of Cardiology, Cardiovascular Medical Center, Far Eastern Memorial Hospital, New Taipei City, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Hao-Min Cheng
- Division of Faculty Development, Taipei Veterans General Hospital, Taipei, Taiwan; PhD Program of Interdisciplinary Medicine (PIM), National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan
| | - Cheng-Yi Wang
- Department of Internal Medicine, Cardinal Tien Hospital and School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Li-Pang Chuang
- Sleep Center, Department of Thoracic Medicine, Chang Gung Memorial Hospital, Linkou, Taiwan; School of Medicine, Chang Gung University, Tauyan, Taiwan
| | - Chou-Han Lin
- Division of Respirology, Department of Internal Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Liang-Wen Hang
- School of Nursing & Graduate Institute of Nursing, China Medical University, Taichung, Taiwan; Sleep Medicine Center, China Medical University Hospital, Taichung, Taiwan
| | - Chih-Chieh Yu
- School of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan; Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Chung-Lieh Hung
- Cardiovascular Center, MacKay Memorial Hospital, Taipei, Taiwan; Institute of Biomedical Sciences, Mackay Medical College, Taipei, Taiwan
| | - Ching-Lung Liu
- Division of Chest, Departments of Internal Medicine, MacKay Memorial Hospital, Taipei, Taiwan; MacKay Medical College, New Taipei City, Taiwan
| | - Kun-Ta Chou
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Division of Clinical Respiratory Physiology, Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Mao-Chang Su
- Sleep Center, Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan; Department of Respiratory Care, Chang Gung University of Science and Technology, Chiayi, Taiwan
| | - Kai-Hung Cheng
- Kao-Ho Hospital, Kaohsiung, Taiwan; Division of Cardiology, Department of Internal Medicine, E-Da Hospital, Kaohsiung, Taiwan
| | - Chun-Yao Huang
- Division of Cardiology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei, Taiwan; Division of Cardiology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Charles Jia-Yin Hou
- Cardiovascular Center, MacKay Memorial Hospital, Taipei, Taiwan; MacKay Medical College, New Taipei City, Taiwan.
| | - Kuo-Liang Chiu
- Division of Chest Medicine, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taichung, Taiwan; School of Post-Baccalaureate Chinese Medicine, Tzu Chi University, Hualien, Taiwan.
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58
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Korkalainen H, Kainulainen S, Islind AS, Óskarsdóttir M, Strassberger C, Nikkonen S, Töyräs J, Kulkas A, Grote L, Hedner J, Sund R, Hrubos-Strom H, Saavedra JM, Ólafsdóttir KA, Ágústsson JS, Terrill PI, McNicholas WT, Arnardóttir ES, Leppänen T. Review and perspective on sleep-disordered breathing research and translation to clinics. Sleep Med Rev 2024; 73:101874. [PMID: 38091850 DOI: 10.1016/j.smrv.2023.101874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 09/18/2023] [Accepted: 11/09/2023] [Indexed: 01/23/2024]
Abstract
Sleep-disordered breathing, ranging from habitual snoring to severe obstructive sleep apnea, is a prevalent public health issue. Despite rising interest in sleep and awareness of sleep disorders, sleep research and diagnostic practices still rely on outdated metrics and laborious methods reducing the diagnostic capacity and preventing timely diagnosis and treatment. Consequently, a significant portion of individuals affected by sleep-disordered breathing remain undiagnosed or are misdiagnosed. Taking advantage of state-of-the-art scientific, technological, and computational advances could be an effective way to optimize the diagnostic and treatment pathways. We discuss state-of-the-art multidisciplinary research, review the shortcomings in the current practices of SDB diagnosis and management in adult populations, and provide possible future directions. We critically review the opportunities for modern data analysis methods and machine learning to combine multimodal information, provide a perspective on the pitfalls of big data analysis, and discuss approaches for developing analysis strategies that overcome current limitations. We argue that large-scale and multidisciplinary collaborative efforts based on clinical, scientific, and technical knowledge and rigorous clinical validation and implementation of the outcomes in practice are needed to move the research of sleep-disordered breathing forward, thus increasing the quality of diagnostics and treatment.
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Affiliation(s)
- Henri Korkalainen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.
| | - Samu Kainulainen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Anna Sigridur Islind
- Department of Computer Science, Reykjavik University, Reykjavik, Iceland; Reykjavik University Sleep Institute, Reykjavik University, Reykjavik, Iceland
| | - María Óskarsdóttir
- Department of Computer Science, Reykjavik University, Reykjavik, Iceland
| | - Christian Strassberger
- Centre for Sleep and Wake Disorders, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Sami Nikkonen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Juha Töyräs
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia; Science Service Center, Kuopio University Hospital, Kuopio, Finland
| | - Antti Kulkas
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland; Department of Clinical Neurophysiology, Seinäjoki Central Hospital, Seinäjoki, Finland
| | - Ludger Grote
- Centre for Sleep and Wake Disorders, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden; Sleep Disorders Centre, Pulmonary Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Jan Hedner
- Centre for Sleep and Wake Disorders, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden; Sleep Disorders Centre, Pulmonary Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Reijo Sund
- School of Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Harald Hrubos-Strom
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Ear, Nose and Throat Surgery, Akershus University Hospital, Lørenskog, Norway
| | - Jose M Saavedra
- Reykjavik University Sleep Institute, Reykjavik University, Reykjavik, Iceland; Physical Activity, Physical Education, Sport and Health (PAPESH) Research Group, Department of Sports Science, Reykjavik University, Reykjavik, Iceland
| | | | | | - Philip I Terrill
- School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia
| | - Walter T McNicholas
- School of Medicine, University College Dublin, and Department of Respiratory and Sleep Medicine, St Vincent's Hospital Group, Dublin Ireland
| | - Erna Sif Arnardóttir
- Reykjavik University Sleep Institute, Reykjavik University, Reykjavik, Iceland; Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | - Timo Leppänen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia
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Qin H, Fietze I, Mazzotti DR, Steenbergen N, Kraemer JF, Glos M, Wessel N, Song L, Penzel T, Zhang X. Obstructive sleep apnea heterogeneity and autonomic function: a role for heart rate variability in therapy selection and efficacy monitoring. J Sleep Res 2024; 33:e14020. [PMID: 37709966 DOI: 10.1111/jsr.14020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 07/23/2023] [Accepted: 08/03/2023] [Indexed: 09/16/2023]
Abstract
Obstructive sleep apnea is a highly prevalent sleep-related breathing disorder, resulting in a disturbed breathing pattern, changes in blood gases, abnormal autonomic regulation, metabolic fluctuation, poor neurocognitive performance, and increased cardiovascular risk. With broad inter-individual differences recognised in risk factors, clinical symptoms, gene expression, physiological characteristics, and health outcomes, various obstructive sleep apnea subtypes have been identified. Therapeutic efficacy and its impact on outcomes, particularly for cardiovascular consequences, may also vary depending on these features in obstructive sleep apnea. A number of interventions such as positive airway pressure therapies, oral appliance, surgical treatment, and pharmaceutical options are available in clinical practice. Selecting an effective obstructive sleep apnea treatment and therapy is a challenging medical decision due to obstructive sleep apnea heterogeneity and numerous treatment modalities. Thus, an objective marker for clinical evaluation is warranted to estimate the treatment response in patients with obstructive sleep apnea. Currently, while the Apnea-Hypopnea Index is used for severity assessment of obstructive sleep apnea and still considered a major guide to diagnosis and managements of obstructive sleep apnea, the Apnea-Hypopnea Index is not a robust marker of symptoms, function, or outcome improvement. Abnormal cardiac autonomic modulation can provide additional insight to better understand obstructive sleep apnea phenotyping. Heart rate variability is a reliable neurocardiac tool to assess altered autonomic function and can also provide cardiovascular information in obstructive sleep apnea. Beyond the Apnea-Hypopnea Index, this review aims to discuss the role of heart rate variability as an indicator and predictor of therapeutic efficacy to different modalities in order to optimise tailored treatment for obstructive sleep apnea.
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Affiliation(s)
- Hua Qin
- Department of Otolaryngology, Head and Neck Surgery, State Key Laboratory of Respiratory Disease, The Key Laboratory of Advanced Interdisciplinary Studies Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Ingo Fietze
- Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
- The Fourth People's Hospital of Guangyuan, Guangyuan, China
| | - Diego R Mazzotti
- Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | | | - Jan F Kraemer
- Department of Physics, Humboldt-Universität zu Berlin, Berlin, Germany
- Information Processing and Analytics Group, School of Library and Information Science, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Martin Glos
- Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Niels Wessel
- Department of Physics, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Medicine, Medical School Berlin, Berlin, Germany
| | - Lijun Song
- Department of Otolaryngology, Head and Neck Surgery, State Key Laboratory of Respiratory Disease, The Key Laboratory of Advanced Interdisciplinary Studies Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Thomas Penzel
- Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Xiaowen Zhang
- Department of Otolaryngology, Head and Neck Surgery, State Key Laboratory of Respiratory Disease, The Key Laboratory of Advanced Interdisciplinary Studies Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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Johnson KG, Thomas RJ. Wake you up to put you asleep. do pharmacological combinations for obstructive sleep apnea make sense? Sleep Med 2024; 114:194-195. [PMID: 38219654 DOI: 10.1016/j.sleep.2024.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Accepted: 01/02/2024] [Indexed: 01/16/2024]
Affiliation(s)
- Karin G Johnson
- Baystate Medical Center, Department of Neurology, UMass Chan School of Medicine-Baystate, Springfield, MA, USA.
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Dimitriadis K, Stathakopoulou C, Pyrpyris N, Beneki E, Adamopoulou E, Soulaidopoulos S, Leontsinis I, Kasiakogias A, Papanikolaou A, Tsioufis P, Aznaouridis K, Tsiachris D, Aggeli K, Tsioufis K. Interventional management of mitral regurgitation and sleep disordered breathing: "Catching two birds with one stone". Sleep Med 2024; 113:157-164. [PMID: 38029624 DOI: 10.1016/j.sleep.2023.11.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 11/09/2023] [Accepted: 11/11/2023] [Indexed: 12/01/2023]
Abstract
Sleep disordered breathing (SDB), mostly constituting of obstructive and central sleep apnea (OSA and CSA, respectively), is highly prevalent in the general population, and even more among patients with cardiovascular disease, heart failure (HF) and valvular heart disease, such as mitral regurgitation (MR). The coexistence of HF, MR and SDB is associated with worse cardiovascular outcomes and increased morbidity and mortality. Pulmonary congestion, as a result of MR, can exaggerate and worsen the clinical status and symptoms of SDB, while OSA and CSA, through various mechanisms that impair left ventricular dynamics, can promote left ventricular remodelling, mitral annulus dilatation and consequently MR. Regarding treatment, positive airway pressure devices used to ameliorate symptoms in SDB also seem to result in a reduction of MR severity, MR jet fraction and an improvement of left ventricular ejection fraction. However, surgical and transcatheter interventions for MR, and especially transcatheter edge to edge mitral valve repair (TEER), seem to also have a positive effect on SDB, by reducing OSA and CSA-related severity indexes and improving symptom control. The purpose of this review is to provide a comprehensive analysis of the common pathophysiology between SDB and MR, as well as to discuss the available evidence regarding the effect of SDB treatment on MR and the effect of mitral valve surgery or transcatheter repair on both OSA and CSA.
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Affiliation(s)
- Kyriakos Dimitriadis
- First Department of Cardiology, School of Medicine, National and Kapodistrian University of Athens, Hippokration General Hospital, Athens, Greece.
| | - Christina Stathakopoulou
- First Department of Cardiology, School of Medicine, National and Kapodistrian University of Athens, Hippokration General Hospital, Athens, Greece
| | - Nikolaos Pyrpyris
- First Department of Cardiology, School of Medicine, National and Kapodistrian University of Athens, Hippokration General Hospital, Athens, Greece
| | - Eirini Beneki
- First Department of Cardiology, School of Medicine, National and Kapodistrian University of Athens, Hippokration General Hospital, Athens, Greece
| | - Elena Adamopoulou
- First Department of Cardiology, School of Medicine, National and Kapodistrian University of Athens, Hippokration General Hospital, Athens, Greece
| | - Stergios Soulaidopoulos
- First Department of Cardiology, School of Medicine, National and Kapodistrian University of Athens, Hippokration General Hospital, Athens, Greece
| | - Ioannis Leontsinis
- First Department of Cardiology, School of Medicine, National and Kapodistrian University of Athens, Hippokration General Hospital, Athens, Greece
| | - Alexandros Kasiakogias
- First Department of Cardiology, School of Medicine, National and Kapodistrian University of Athens, Hippokration General Hospital, Athens, Greece
| | - Aggelos Papanikolaou
- First Department of Cardiology, School of Medicine, National and Kapodistrian University of Athens, Hippokration General Hospital, Athens, Greece
| | - Panagiotis Tsioufis
- First Department of Cardiology, School of Medicine, National and Kapodistrian University of Athens, Hippokration General Hospital, Athens, Greece
| | - Konstantinos Aznaouridis
- First Department of Cardiology, School of Medicine, National and Kapodistrian University of Athens, Hippokration General Hospital, Athens, Greece
| | - Dimitris Tsiachris
- First Department of Cardiology, School of Medicine, National and Kapodistrian University of Athens, Hippokration General Hospital, Athens, Greece
| | - Konstantina Aggeli
- First Department of Cardiology, School of Medicine, National and Kapodistrian University of Athens, Hippokration General Hospital, Athens, Greece
| | - Konstantinos Tsioufis
- First Department of Cardiology, School of Medicine, National and Kapodistrian University of Athens, Hippokration General Hospital, Athens, Greece
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Khatami R, Qi M, Hügli G, Zhang Z. Cumulative brain desaturation: Time to consider brain derived parameters to measure daytime sleepiness in obstructive sleep apnea. Sleep Med 2024; 113:338-341. [PMID: 38103465 DOI: 10.1016/j.sleep.2023.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 11/24/2023] [Accepted: 12/03/2023] [Indexed: 12/19/2023]
Abstract
OBJECTIVE /Background: The change in cerebral hemodynamics induced by sleep apneas and hypopneas may contribute to the daytime sleepiness in patients with obstructive sleep apnea (OSA). However, previous studies failed to discovery their relationship. We propose and test a new parameter, the cumulative brain oxygen desaturation, which may contribute to OSA patient's daytime sleepiness. PATIENTS/METHODS 22 patients with severe OSA (apnea-hypopnea index (AHI) at diagnosis [mean ± standard deviation, std.]: 52.1 ± 21.6/h, median: 45.1/h, interquartile range: 34.4-60.2/h) were monitored by polysomnography during routine continuous positive airway pressure titration. The reductions of brain tissue oxygen saturation (StO2) in all respiratory events at baseline sleep were measured by frequency-domain near-infrared spectroscopy (NIRS). The cumulative brain desaturation was calculated as AHI times the mean StO2 desaturation (i.e., AHI×ΔStO2‾). Similarly, cumulative peripheral desaturation was also calculated, i.e., AHI×ΔSpO2‾ where ΔSpO2‾ was the mean reduction of peripheral arterial oxygen saturation (SpO2). The correlations between Epworth sleepiness scale (ESS) and AHI, ΔStO2‾, AHI×ΔStO2‾, and AHI×ΔSpO2‾ were tested, respectively. Linear regression was applied to predict ESS using AHI×ΔStO2‾ and AHI×ΔSpO2‾, with age and BMI as covariates. RESULTS ESS significantly correlates to the cumulative brain desaturation (Pearson's correlation coefficient: 0.68, p = 0.00056), not the other parameters. Regression analysis only finds significant association between ESS and the cumulative cerebral desaturation (p = 0.00195) but not the cumulative peripheral desaturation (p = 0.71). CONCLUSIONS The cumulative brain oxygen desaturation, which comprehensively combines total sleep time, the frequency of apnea and hypopnea events, and the severity of cerebral oxygen desaturation, is a new indicator for daytime sleepiness in severe OSA.
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Affiliation(s)
- Ramin Khatami
- Center for Sleep Medicine, Sleep Research, and Epileptology, Clinic Barmelweid, Barmelweid, Switzerland; Barmelweid Academy, Clinic Barmelweid, Barmelweid, Switzerland; Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Ming Qi
- Center for Sleep Medicine, Sleep Research, and Epileptology, Clinic Barmelweid, Barmelweid, Switzerland
| | - Gordana Hügli
- Center for Sleep Medicine, Sleep Research, and Epileptology, Clinic Barmelweid, Barmelweid, Switzerland
| | - Zhongxing Zhang
- Center for Sleep Medicine, Sleep Research, and Epileptology, Clinic Barmelweid, Barmelweid, Switzerland; Barmelweid Academy, Clinic Barmelweid, Barmelweid, Switzerland.
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Huang Z, Duan A, Zhao Z, Zhao Q, Zhang Y, Li X, Zhang S, Gao L, An C, Luo Q, Liu Z. Sleep-disordered breathing patterns and prognosis in pulmonary arterial hypertension: A cluster analysis of nocturnal cardiorespiratory signals. Sleep Med 2024; 113:61-69. [PMID: 37984019 DOI: 10.1016/j.sleep.2023.11.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 10/15/2023] [Accepted: 11/08/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND Sleep-disordered breathing (SDB) is common among pulmonary arterial hypertension (PAH) patients and has been associated with unfavorable outcomes. This study aims to cluster overnight cardiorespiratory signals to investigate PAH phenotypes and examining their prognostic implications. METHODS In this retrospective cohort study, we recruited consecutive PAH patients who underwent right heart catheterization and nocturnal cardiorespiratory polygraphy to evaluate SDB. Cluster analysis was employed to classify patients based on their SDB patterns. Cox regression analysis and Kaplan-Meier curves were utilized to assess the association between cluster membership and clinical outcomes. Logistic regression was used to identify risk factors associated with the cluster at higher risk of adverse outcomes. RESULTS The study comprised 386 PAH patients, with a mean age of 44.7 ± 17.0 years, of which 46.6 % were male. Three distinct clusters of PAH patients were identified: Cluster 1 (N = 182) presented with minimal SDB, Cluster 2 (N = 125) displayed obstructive sleep apnea (OSA) without significant hypoxemia, and Cluster 3 (N = 79) exhibited predominantly severe hypoxemic burden along with comorbid OSA. Notably, patients in Cluster 3 had an independent association with an increased risk of clinical worsening (hazard ratio 1.96, 95 % confidence interval [CI] 1.08-3.56, P = 0.027) compared to those in Clusters 1, even after adjusting for common confounders. The rate of clinical worsening for PAH-related events and mortality was higher in Cluster 3 than in Clusters 1 and 2 (26.6 % vs. 12.6 % and 19.2 %, respectively, log-rank P = 0.024). Moreover, the left ventricular mass index was identified as an independent risk factor for Cluster 3 (odds ratios 1.01, 95 % CI 1.00-1.02, P = 0.004). CONCLUSIONS Patients with PAH who have nocturnal hypoxemia and OSA had worse clinical outcomes compared to those with only minimal SDB. Tailored management strategies that address both PAH and nocturnal hypoxemia may be effective in improving clinical outcomes.
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Affiliation(s)
- Zhihua Huang
- Center for Respiratory and Pulmonary Vascular Diseases, Department of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Anqi Duan
- Center for Respiratory and Pulmonary Vascular Diseases, Department of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhihui Zhao
- Center for Respiratory and Pulmonary Vascular Diseases, Department of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qing Zhao
- Center for Respiratory and Pulmonary Vascular Diseases, Department of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi Zhang
- Center for Respiratory and Pulmonary Vascular Diseases, Department of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xin Li
- Center for Respiratory and Pulmonary Vascular Diseases, Department of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Sicheng Zhang
- Center for Respiratory and Pulmonary Vascular Diseases, Department of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Luyang Gao
- Center for Respiratory and Pulmonary Vascular Diseases, Department of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chenhong An
- Center for Respiratory and Pulmonary Vascular Diseases, Department of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qin Luo
- Center for Respiratory and Pulmonary Vascular Diseases, Department of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Zhihong Liu
- Center for Respiratory and Pulmonary Vascular Diseases, Department of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Brown DL, Burns JW, Kwicklis M, Shi X, Chervin RD, Case E, Morgenstern LB, Somers VK, Lisabeth LD. Novel metrics of sleep-disordered breathing are associated with outcome after ischemic stroke. Sleep Med 2024; 113:116-130. [PMID: 38011808 PMCID: PMC10841652 DOI: 10.1016/j.sleep.2023.11.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 11/01/2023] [Accepted: 11/05/2023] [Indexed: 11/29/2023]
Abstract
OBJECTIVE/BACKGROUND Standard measures of sleep-disordered breathing (SDB) that rely on count data may not sufficiently capture SDB severity or reflect downstream consequences of SDB. We hypothesized that novel metrics derived from pulse rate, oxygen saturation, and nasal pressure would be associated with stroke outcomes. PATIENTS/METHODS Shortly after ischemic stroke, participants in a population-based study were offered ApneaLink Plus testing. Signal analysis was used to generate 166 metrics from the nasal pressure cannula and finger probe, categorized as: autonomic (based on pulse rate variability), oximetry-derived, nasal pressure-derived, and mixed oxygen and nasal pressure-derived measures. Three-month outcome assessments included functional and cognitive outcomes and stroke recurrence. Tobit regression and Cox proportional hazards models were used to examine associations between each sleep apnea metric and the three outcomes, unadjusted and adjusted for multiple potential confounders. Models were adjusted for multiple comparisons. RESULTS Of the 530 participants, the median age was 65 (IQR: 57, 73), 49 % were female, and 64 % were Mexican American. Without covariate adjustment, 23 of 166 variables were associated with functional outcome, 43 were associated with cognitive outcome, and 1 was associated with stroke recurrence. After adjustment, 7 mixed, oximetry, or nasal pressure-based metrics and 1 autonomic metric were associated with functional outcome, but none was associated with cognitive outcome or stroke recurrence. CONCLUSIONS Many novel metrics of SDB were associated with important stroke outcomes, and 8 novel metrics were associated with functional outcome in adjusted models. This raises hypotheses about pathways by which SDB may negatively impact stroke outcomes.
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Affiliation(s)
| | - Joseph W Burns
- Michigan Tech Research Institute, Michigan Technological University, Ann Arbor, MI, USA
| | - Madeline Kwicklis
- Department of Epidemiology, University of Michigan School of Public Health, USA
| | - Xu Shi
- Department of Biostatistics, University of Michigan School of Public Health, USA
| | - Ronald D Chervin
- Sleep Disorders Center and Department of Neurology, University of Michigan, USA
| | - Erin Case
- Stroke Program, University of Michigan, USA; Department of Epidemiology, University of Michigan School of Public Health, USA
| | - Lewis B Morgenstern
- Stroke Program, University of Michigan, USA; Department of Epidemiology, University of Michigan School of Public Health, USA
| | - Virend K Somers
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Lynda D Lisabeth
- Stroke Program, University of Michigan, USA; Department of Epidemiology, University of Michigan School of Public Health, USA
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Hussein O, Alkhader A, Gohar A, Bhat A. Home Sleep Apnea Testing for Obstructive Sleep Apnea. MISSOURI MEDICINE 2024; 121:60-65. [PMID: 38404435 PMCID: PMC10887466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Obstructive Sleep Apnea (OSA) is a major public health problem affecting almost one billion individuals worldwide. Ninety percent of patients with OSA are still undiagnosed. Although an attended polysomnography (PSG) testing is the gold standard to diagnose OSA, it is time-consuming and is associated with higher costs. The Home Sleep Apnea Testing (HSAT) is now available to diagnose OSA. Understanding the indications and limitations of HSAT is important to avoid misdiagnosis and improve patient outcomes.
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Affiliation(s)
- Omar Hussein
- Fellow Sleep Medicine, University of Missouri - Kansas City of School Medicine, Kansas City, Missouri
| | - Aseel Alkhader
- Research Assistant, University of Kansas Medical Center, Kansas City Kansas
| | - Ashraf Gohar
- Professor of Medicine, University of Missouri - Kansas City of School Medicine, Kansas City, Missouri
| | - Abid Bhat
- Professor of Medicine, University of Missouri - Kansas City of School Medicine, Kansas City, Missouri
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Patil SP, Billings ME, Bourjeily G, Collop NA, Gottlieb DJ, Johnson KG, Kimoff RJ, Pack AI. Long-term health outcomes for patients with obstructive sleep apnea: placing the Agency for Healthcare Research and Quality report in context-a multisociety commentary. J Clin Sleep Med 2024; 20:135-149. [PMID: 37904571 PMCID: PMC10758567 DOI: 10.5664/jcsm.10832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 09/21/2023] [Indexed: 11/01/2023]
Abstract
This multisociety commentary critically examines the Agency for Healthcare Research and Quality (AHRQ) final report and systematic review on long-term health outcomes in obstructive sleep apnea. The AHRQ report was commissioned by the Centers for Medicare & Medicaid Services and particularly focused on the long-term patient-centered outcomes of continuous positive airway pressure, the variability of sleep-disordered breathing metrics, and the validity of these metrics as surrogate outcomes. This commentary raises concerns regarding the AHRQ report conclusions and their potential implications for policy decisions. A major concern expressed in this commentary is that the AHRQ report inadequately acknowledges the benefits of continuous positive airway pressure for several established, long-term clinically important outcomes including excessive sleepiness, motor vehicle accidents, and blood pressure. While acknowledging the limited evidence for the long-term benefits of continuous positive airway pressure treatment, especially cardiovascular outcomes, as summarized by the AHRQ report, this commentary reviews the limitations of recent randomized controlled trials and nonrandomized controlled studies and the challenges of conducting future randomized controlled trials. A research agenda to address these challenges is proposed including study designs that may include both high quality randomized controlled trials and nonrandomized controlled studies. This commentary concludes by highlighting implications for the safety and quality of life for the millions of people living with obstructive sleep apnea if the AHRQ report alone was used by payers to limit coverage for the treatment of obstructive sleep apnea while not considering the totality of available evidence. CITATION Patil SP, Billings ME, Bourjeily G, et al. Long-term health outcomes for patients with obstructive sleep apnea: placing the Agency for Healthcare Research and Quality report in context-a multisociety commentary. J Clin Sleep Med. 2024;20(1):135-149.
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Affiliation(s)
- Susheel P. Patil
- Case Western Reserve University School of Medicine, Cleveland, Ohio
- University Hospitals of Cleveland, Cleveland, Ohio
| | | | - Ghada Bourjeily
- Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | | | - Daniel J. Gottlieb
- VA Boston Healthcare System, Boston, Massachusetts
- Brigham and Women’s Hospital, Boston, Massachusetts
| | - Karin G. Johnson
- University of Massachusetts Chan School of Medicine-Baystate, Springfield, Massachusetts
| | - R. John Kimoff
- McGill University Health Centre, Montreal, Quebec, Canada
| | - Allan I. Pack
- University of Pennsylvania, Philadelphia, Pennsylvania
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Puri S, Panza GS, Kissane D, Jones S, Reck K, Lin HS, Badr MS, Mateika JH. Racial differences in upper airway collapsibility and loop gain in young adult males. Sleep 2023; 46:zsad091. [PMID: 36999953 PMCID: PMC10710980 DOI: 10.1093/sleep/zsad091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 03/16/2023] [Indexed: 04/01/2023] Open
Abstract
STUDY OBJECTIVES Previous studies reported that the apnea-hypopnea index was similar in young adult Black and White participants. However, whether this similarity reflects an analogous combination of apneas and hypopneas is unknown. Likewise, the physiological mechanisms underlying this similarity has not been explored. METHODS 60 Black and 48 White males completed the study. After matching for age and body mass index, 41 participants remained in each group. All participants completed a sleep study. Subsequently, standard sleep indices along with loop gain and the arousal threshold were determined. In addition, airway collapsibility (24 of 60 and 14 of 48 participants) and the hypoxic ventilatory response during wakefulness (30 of 60 and 25 of 48 participants) was measured. RESULTS The apnea-hypopnea index was similar in Blacks and Whites (p = .140). However, the index was comprised of more apneas (p = .014) and fewer hypopneas (p = .025) in Black males. These modifications were coupled to a reduced loop gain (p = .0002) and a more collapsible airway (p = .030). These differences were independent of whether or not the groups were matched. For a given hypoxic response, loop gain was reduced in Black compared to White males (p = .023). CONCLUSIONS Despite a similar apnea-hypopnea index, more apneas and fewer hypopneas were evident in young adult Black compared to White males. The physiological mechanisms that contribute to these events were also different between groups. Addressing these differences may be important when considering novel therapeutic approaches to eliminate apnea in Black and White participants.
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Affiliation(s)
- Shipra Puri
- Research and Development, John D. Dingell Veterans Affairs Medical Center, Detroit, MI 48201, USA
- Department of Physiology, Wayne State University School of Medicine, Detroit, MI 48201, USA
| | - Gino S Panza
- Research and Development, John D. Dingell Veterans Affairs Medical Center, Detroit, MI 48201, USA
- Department of Health Care Sciences, College of Pharmacy and Health Science, Detroit, MI 48201, USA
| | - Dylan Kissane
- Research and Development, John D. Dingell Veterans Affairs Medical Center, Detroit, MI 48201, USA
- Department of Physiology, Wayne State University School of Medicine, Detroit, MI 48201, USA
| | - Steven Jones
- Research and Development, John D. Dingell Veterans Affairs Medical Center, Detroit, MI 48201, USA
- Department of Physiology, Wayne State University School of Medicine, Detroit, MI 48201, USA
| | - Kevin Reck
- Research and Development, John D. Dingell Veterans Affairs Medical Center, Detroit, MI 48201, USA
- Department of Physiology, Wayne State University School of Medicine, Detroit, MI 48201, USA
| | - Ho-Sheng Lin
- Research and Development, John D. Dingell Veterans Affairs Medical Center, Detroit, MI 48201, USA
- Department of Otolaryngology, Wayne State University School of Medicine, Detroit, MI 48201, USA
| | - M Safwan Badr
- Research and Development, John D. Dingell Veterans Affairs Medical Center, Detroit, MI 48201, USA
- Department of Physiology, Wayne State University School of Medicine, Detroit, MI 48201, USA
- Department of Internal Medicine, Wayne State University School of Medicine, Detroit, MI 48201, USA
| | - Jason H Mateika
- Research and Development, John D. Dingell Veterans Affairs Medical Center, Detroit, MI 48201, USA
- Department of Physiology, Wayne State University School of Medicine, Detroit, MI 48201, USA
- Department of Internal Medicine, Wayne State University School of Medicine, Detroit, MI 48201, USA
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Zhang K, Wang C, Wu Y, Xu Z. Identification of novel biomarkers in obstructive sleep apnea via integrated bioinformatics analysis and experimental validation. PeerJ 2023; 11:e16608. [PMID: 38077447 PMCID: PMC10702330 DOI: 10.7717/peerj.16608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 11/15/2023] [Indexed: 12/18/2023] Open
Abstract
Background Obstructive sleep apnea (OSA) is a complex and multi-gene inherited disease caused by both genetic and environmental factors. However, due to the high cost of diagnosis and complex operation, its clinical application is limited. This study aims to explore potential target genes associated with OSA and establish a corresponding diagnostic model. Methods This study used microarray datasets from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs) related to OSA and perform functional annotation and pathway analysis. The study employed multi-scale embedded gene co-expression network analysis (MEGENA) combined with least absolute shrinkage and selection operator (LASSO) regression analysis to select hub genes and construct a diagnostic model for OSA. In addition, the study conducted correlation analysis between hub genes and OSA-related genes, immunoinfiltration, gene set enrichment analysis (GSEA), miRNA network analysis, and identified potential transcription factors (TFs) and targeted drugs for hub genes. Finally, the study used chronic intermittent hypoxia (CIH) mouse model to simulate OSA hypoxic conditions and verify the expression of hub genes in CIH mice. Results In this study, a total of 401 upregulated genes and 275 downregulated genes were identified, and enrichment analysis revealed that these differentially expressed genes may be associated with pathways such as vasculature development, cellular response to cytokine stimulus, and negative regulation of cell population proliferation. Through MEGENA combined with LASSO regression, seven OSA hub genes were identified, including C12orf54, FOS, GPR1, OR9A4, MYO5B, RAB39B, and KLHL4. The diagnostic model constructed based on these genes showed strong stability. The expression levels of hub genes were significantly correlated with the expression levels of OSA-related genes and mainly acted on pathways such as the JAK/STAT signaling pathway and the cytosolic DNA-sensing pathway. Drug-target predictions for hub genes were made using the Connectivity Map (CMap) database and the Drug-Gene Interaction database (Dgidb), which identified targeted therapeutic drugs for the hub genes. In vivo experiments showed that the hub genes were all decreasing in the OSA mouse model. Conclusions This study identified novel biomarkers for OSA and established a reliable diagnostic model. The transcriptional changes identified may help to reveal the pathogenesis, mechanisms, and sequelae of OSA.
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Affiliation(s)
- Kai Zhang
- Beijing Children’s Hospital, Department of Respiratory Medicine, Beijing, People’s Republic of China
| | - Caizhen Wang
- The Second Hospital of Hebei Medical University, Pediatric Intensive Care Unit, Shijiazhuang, Hebei, People’s Republic of China
| | - Yunxiao Wu
- Beijing Children’s Hospital, Department of Respiratory Medicine, Beijing, People’s Republic of China
| | - Zhifei Xu
- Beijing Children’s Hospital, Department of Respiratory Medicine, Beijing, People’s Republic of China
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Bonsignore MR. Adaptive responses to chronic intermittent hypoxia: contributions from the European Sleep Apnoea Database (ESADA) Cohort. J Physiol 2023; 601:5467-5480. [PMID: 37218069 DOI: 10.1113/jp284108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 05/18/2023] [Indexed: 05/24/2023] Open
Abstract
Obstructive sleep apnoea (OSA) is a common disease in the general population, and is associated with increased cardiovascular risk and several comorbidities. Obesity favours upper airway collapsibility, but other pathophysiological traits have been identified, i.e. upper airway muscle activity, modulation of the respiratory drive, and the arousal threshold. OSA causes chronic intermittent hypoxia, inflammatory activation and autonomic imbalance with diurnal and nocturnal sympathetic hyperactivity. Disentangling so many components to investigate the pathogenesis of OSA's consequences is very hard clinically. However, albeit imperfect, clinical medicine constitutes a major source of inspiration for basic research, and a mutual exchange of information is essential between clinicians and physiologists to improve our understanding of disease states. OSA is no exception, and this narrative review will summarize the results of clinical studies performed over the years by the European Sleep Apnoea Database (ESADA) Study Group, to explore the variables linked to markers of intermittent hypoxia as opposed to the traditional assessment of OSA severity based on the frequency of respiratory events during sleep (the Apnoea Hypopnoea Index). The results of the clinical studies indicate that intermittent hypoxia variables are associated with several comorbidities, although evidence of a cause-effect relationship is still missing in many cases. It is also possible that adaptive rather than maladaptive responses could be evoked by intermittent hypoxia. The intensity, duration and frequency of intermittent hypoxia episodes causing adaptive rather than maladaptive responses, and their clinical implications, deserve further investigation.
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Affiliation(s)
- Maria R Bonsignore
- PROMISE Department, University of Palermo, Palermo, Italy
- Sleep Disordered Breathing Clinic, Division of Pneumology, V. Cervello Hospital, Palermo, Italy
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Lin Y, Wu Y, Lin Q, Wing YK, Xu L, Ge J, Wu Q, Li Z, Wu Q, Lin B, Wei S. Objective Sleep Duration and All-Cause Mortality Among People With Obstructive Sleep Apnea. JAMA Netw Open 2023; 6:e2346085. [PMID: 38051532 PMCID: PMC10698624 DOI: 10.1001/jamanetworkopen.2023.46085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 10/23/2023] [Indexed: 12/07/2023] Open
Abstract
Importance The association between sleep duration and all-cause mortality remains unclear among people with obstructive sleep apnea (OSA). Objective To explore whether there is an association between sleep duration and all-cause mortality among people with OSA. Design, Setting, and Participants This cohort study investigated participants with OSA from the Sleep Heart Health Study (SHHS) in which participants were enrolled between 1995 and 1998 with questionnaires and polysomnography (PSG) assessment and followed up for a median of 11.8 years. SHHS was a multicenter community-based study; 2574 participants with OSA defined by apnea-hypopnea index (AHI) greater than or equal to 15 from SHHS were found; all of them had all-cause mortality data and were included in the study. Data were analyzed from November 2022 to October 2023. Exposures Participants were divided into 4 groups with objective sleep duration of (1) at least 7 hours, (2) 6 to less than 7 hours, (3) 5 to less than 6 hours, and (4) less than 5 hours, which was determined by total sleep time on PSG at baseline. Main Outcomes and Measures All-cause mortality was defined as deaths from any cause and its risk was compared among 4 OSA groups using Cox regression models. Results A total of 2574 participants with OSA were included (1628 [63.2%] men and 946 [36.8%] women; mean [SD] age, 65.4 [10.7] years; 211 [8.2%] Black, 2230 [86.6%] White, 133 [5.2%] other race). Overall, 688 all-cause deaths were observed in participants. Compared with the group sleeping at least 7 hours, the groups sleeping 6 to less than 7 hours (hazard ratio [HR], 1.53 [95% CI, 1.13-2.07]), 5 to less than 6 hours (HR, 1.40 [95% CI, 1.03-1.90]), and less than 5 hours (HR, 1.64 [95% CI, 1.20-2.24]) had significantly higher risks of all-cause mortality independent of AHI. Sensitivity analyses were performed among participants with available data of positive airway pressure treatment during follow-up and the finding was mostly consistent, albeit the HR for the group of 5 to less than 6 hours was not statistically significant. Conclusions and Relevance In this cohort study of 2574 participants with OSA, those with shorter objective sleep duration had higher risk of all-cause mortality independent of AHI compared with those sleeping at least 7 hours. Further studies would be needed to investigate health benefits of extending sleep length among people with OSA with short sleep duration.
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Affiliation(s)
- Yiqi Lin
- Department of Sleep Center, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Yongxi Wu
- Department of Sleep Center, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Qianwen Lin
- Department of Sleep Center, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Yun Kwok Wing
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Lili Xu
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, National Clinical Research Center for Interventional Medicine, China
| | - Junbo Ge
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, National Clinical Research Center for Interventional Medicine, China
| | - Qinwei Wu
- Department of Sleep Center, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Zhen Li
- Department of Sleep Center, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Qingjie Wu
- Department of Sleep Center, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Beiwei Lin
- Department of Sleep Center, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Shichao Wei
- Department of Sleep Center, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
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Pinilla L, Esmaeili N, Labarca G, Martinez-Garcia MÁ, Torres G, Gracia-Lavedan E, Mínguez O, Martínez D, Abad J, Masdeu MJ, Mediano O, Muñoz C, Cabriada V, Duran-Cantolla J, Mayos M, Coloma R, Montserrat JM, de la Peña M, Hu WH, Messineo L, Sehhati M, Wellman A, Redline S, Sands S, Barbé F, Sánchez-de-la-Torre M, Azarbarzin A. Hypoxic burden to guide CPAP treatment allocation in patients with obstructive sleep apnoea: a post hoc study of the ISAACC trial. Eur Respir J 2023; 62:2300828. [PMID: 37734857 PMCID: PMC10701092 DOI: 10.1183/13993003.00828-2023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 08/27/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND Hypoxic burden (HB) has emerged as a strong predictor of cardiovascular risk in obstructive sleep apnoea (OSA). We aimed to assess the potential of HB to predict the cardiovascular benefit of treating OSA with continuous positive airway pressure (CPAP). METHODS This was a post hoc analysis of the ISAACC trial (ClinicalTrials.gov: NCT01335087) including non-sleepy patients with acute coronary syndrome (ACS) diagnosed with OSA (apnoea-hypopnoea index ≥15 events·h-1) by respiratory polygraphy. Patients were randomised to CPAP or usual care and followed for a minimum of 1 year. HB was calculated as the total area under all automatically identified desaturations divided by total sleep time. Patients were categorised as having high or low baseline HB according to the median value (73.1%min·h-1). Multivariable Cox regression models were used to assess whether the effect of CPAP on the incidence of cardiovascular outcomes was dependent on the baseline HB level. RESULTS The population (362 patients assigned to CPAP and 365 patients assigned to usual care) was middle-aged (mean age 59.7 years), overweight/obese and mostly male (84.5%). A significant interaction was found between the treatment arm and the HB categories. In the high HB group, CPAP treatment was associated with a significant reduction in the incidence of cardiovascular events (HR 0.57, 95% CI 0.34-0.96). In the low HB group, CPAP-treated patients exhibited a trend toward a higher risk of cardiovascular outcomes than those receiving usual care (HR 1.33, 95% CI 0.79-2.25). The differential effect of the treatment depending on the baseline HB level followed a dose-response relationship. CONCLUSION In non-sleepy ACS patients with OSA, high HB levels were associated with a long-term protective effect of CPAP on cardiovascular prognosis.
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Affiliation(s)
- Lucía Pinilla
- Group of Precision Medicine in Chronic Diseases, University Hospital Arnau de Vilanova and Santa María, University of Lleida, IRBLleida, Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- L. Pinilla and N. Esmaeili are co-first authors
| | - Neda Esmaeili
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Bioelectric and Biomedical Engineering Department, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
- L. Pinilla and N. Esmaeili are co-first authors
| | - Gonzalo Labarca
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Miguel Ángel Martinez-Garcia
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Pneumology Department, Hospital Universitario y Politécnico La Fe, Valencia, Spain
| | - Gerard Torres
- Group of Precision Medicine in Chronic Diseases, University Hospital Arnau de Vilanova and Santa María, University of Lleida, IRBLleida, Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Esther Gracia-Lavedan
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Group of Translational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa María, University of Lleida, IRBLleida, Lleida, Spain
| | - Olga Mínguez
- Group of Translational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa María, University of Lleida, IRBLleida, Lleida, Spain
| | - Dolores Martínez
- Group of Translational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa María, University of Lleida, IRBLleida, Lleida, Spain
| | - Jorge Abad
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Pneumology Department, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Maria José Masdeu
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Pneumology Department, University Hospital Parc Taulí, Autonomous University of Barcelona, Sabadell, Spain
| | - Olga Mediano
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Pneumology Department, University Hospital of Guadalajara, Guadalajara, Spain
| | - Carmen Muñoz
- Pneumology Department, University Hospital of Burgos, Burgos, Spain
| | - Valentín Cabriada
- Pneumology Department, University Hospital of Cruces, Bizkaia, Spain
| | - Joaquín Duran-Cantolla
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Bioaraba Health Research Institute, University Hospital of Araba, Vitoria, Spain
| | - Mercè Mayos
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Sleep Unit, Pneumology Department, Hospital Santa Creu i Sant Pau, Barcelona, Spain
| | - Ramón Coloma
- Pneumology Department, University Hospital of Albacete, Albacete, Spain
| | - Josep María Montserrat
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Pneumology Department, Clinic Hospital, Barcelona, Spain
| | - Mónica de la Peña
- University Hospital Son Espases, Research Institute of Palma, Palma de Mallorca, Spain
| | - Wen-Hsin Hu
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Ludovico Messineo
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Mohammadreza Sehhati
- Bioelectric and Biomedical Engineering Department, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Andrew Wellman
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Scott Sands
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Ferran Barbé
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Group of Translational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa María, University of Lleida, IRBLleida, Lleida, Spain
| | - Manuel Sánchez-de-la-Torre
- Group of Precision Medicine in Chronic Diseases, University Hospital Arnau de Vilanova and Santa María, University of Lleida, IRBLleida, Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- M. Sánchez-de-la-Torre and A. Azarbarzin contributed equally to this article as lead authors and supervised the work
| | - Ali Azarbarzin
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- M. Sánchez-de-la-Torre and A. Azarbarzin contributed equally to this article as lead authors and supervised the work
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Mohammadi I, Adibparsa M, Najafi A, Sehat MS, Sadeghi M. A systematic review with meta-analysis to assess Alzheimer's disease biomarkers in adults with or without obstructive sleep apnoea. Int Orthod 2023; 21:100814. [PMID: 37776696 DOI: 10.1016/j.ortho.2023.100814] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/06/2023] [Accepted: 09/09/2023] [Indexed: 10/02/2023]
Abstract
INTRODUCTION The aim was to design a meta-analysis evaluating the positron emission tomography (PET) uptake and cerebrospinal fluid (CSF), circulating levels of amyloid-β (Aβ), and tau proteins OSA group versus control group, as well as the association of these biomarkers with the severity of OSA. MATERIAL AND METHODS Four databases were searched until April 17, 2023, without any restrictions. The effect sizes were the standardized mean difference (SMD) along with a 95% confidence interval (CI). RESULTS A total of 21 articles were entered into the meta-analysis. The pooled SMDs of the CSF levels in OSA adults compared to controls were: -0.82 (P=0.004) for Aβ42, -1.13 (P<0.001) for Aβ40, 0.17 (P=0.23) for p-tau, 0.04 (P=0.65) for t-tau, 0.08 (P=0.89) for Aβ42/Aβ40 ratio, and 0.81 (P=0.001) for t-tau/Aβ42 ratio. The pooled SMD for the PET uptake of Aβ burden in OSA adults compared to controls was 0.30 (P=0.03). The pooled SMDs of the circulating levels in OSA adults compared to controls were: 0.67 (P=0.002) for Aβ42, 0.11 (P=0.82) for Aβ40, 0.35 (P=0.06) for p-tau, and 1.41(P=0.005) for t-tau. The pooled SMDs for levels of Aβ42, Aβ40, total Aβ, p-tau, t-tau, and Aβ42/Aβ40 ratio in severe OSA adults compared to mild/moderate OSA adults were -0.15 (P=0.33), 0.25 (P=35), 0.04 (P=87), -2.53 (P=0.24), -0.24 (P=0.52), and -0.28 (P=0.30), respectively. CONCLUSIONS The results indicated that CSF levels of Aβ42 and Aβ40 in OSA adults were significantly lower, but the CSF level of t-tau/Aβ42 ratio and PET Aβ burden uptake in OSA adults significantly were higher than in controls.
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Affiliation(s)
- Iman Mohammadi
- Oral and Maxillofacial Surgery Department, School of Dentistry, Isfahan University of Medical Sciences, 81746-73461 Isfahan, Iran
| | - Mehrdad Adibparsa
- Department of Plastic Surgery, School of Medicine, Isfahan University of Medical Sciences, 81746-73461 Isfahan, Iran
| | - Amir Najafi
- Oral and Maxillofacial Surgery Department, School of Dentistry, Isfahan University of Medical Sciences, 81746-73461 Isfahan, Iran
| | - Mohammad Soroush Sehat
- Oral and Maxillofacial Surgery Department, School of Dentistry, Isfahan University of Medical Sciences, 81746-73461 Isfahan, Iran
| | - Masoud Sadeghi
- Medical Biology Research Center, Kermanshah University of Medical Sciences, 67144-15185 Kermanshah, Iran.
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Pépin JL, Randerath W. Continuous positive airway pressure for prevention of cardiovascular events and mortality: why evidence is evolving. Eur Respir J 2023; 62:2301741. [PMID: 38061793 DOI: 10.1183/13993003.01741-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 11/08/2023] [Indexed: 12/18/2023]
Affiliation(s)
- Jean-Louis Pépin
- University Grenoble Alpes, HP2 Laboratory, INSERM U1300, Grenoble, France
- EFCR Laboratory, Grenoble Alpes University Hospital, Grenoble, France
| | - Winfried Randerath
- Bethanien Hospital, Clinic for Pneumology and Allergology, Centre of Sleep Medicine and Respiratory Care, Institute of Pneumology at the University of Cologne, Solingen, Germany
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Liu L, Wang Y, Hong L, Bragazzi NL, Dai H, Chen H. Obstructive Sleep Apnea and Hypertensive Heart Disease: From Pathophysiology to Therapeutics. Rev Cardiovasc Med 2023; 24:342. [PMID: 39077075 PMCID: PMC11272867 DOI: 10.31083/j.rcm2412342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 09/29/2023] [Accepted: 10/12/2023] [Indexed: 07/31/2024] Open
Abstract
Obstructive sleep apnea (OSA) is characterized by recurrent episodes of complete or partial obstruction of the upper airway that lead to intermittent hypoxemia, negative intrathoracic pressure, hypercapnia, and sleep disturbances. While OSA is recognized as a significant risk factor for cardiovascular disease, it's relationship with hypertensive heart disease (HHD) remains underappreciated. HHD is a condition characterized by the pathological hypertrophy of the left ventricle, a consequence of elevated arterial hypertension. Interestingly, both OSA and HHD share similar underlying mechanisms including hypertension, left ventricular hypertrophy, myocardial fibrosis, oxidative stress, and inflammation, which ultimately contribute to the progression of HHD. This review aims to shed light on the potential role of OSA in HHD pathogenesis, summarizing current OSA treatment options. It is hoped that this review will encourage a renewed clinical focus on HHD and underscore the need for further OSA research, particularly in the context of screening and treating HHD patients.
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Affiliation(s)
- Lu Liu
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, 310000 Hangzhou, Zhejiang, China
| | - Yi Wang
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, 310000 Hangzhou, Zhejiang, China
| | - Liqiong Hong
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, 310000 Hangzhou, Zhejiang, China
| | - Nicola Luigi Bragazzi
- Human Nutrition Unit, Department of Food and Drugs, Medical School, University of Parma, 43125 Parma, Italy
| | - Haijiang Dai
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, 310000 Hangzhou, Zhejiang, China
| | - Huimin Chen
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, 310000 Hangzhou, Zhejiang, China
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Lisik D, Pires GN, Zou D. Perspective: Systematic review and meta-analysis in obstructive sleep apnea - What is lacking? Sleep Med 2023; 111:54-61. [PMID: 37717377 DOI: 10.1016/j.sleep.2023.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/20/2023] [Accepted: 09/05/2023] [Indexed: 09/19/2023]
Abstract
Obstructive sleep apnea (OSA) affects nearly one billion of the global adult population. It is associated with substantial burden in terms of quality of life, cognitive function, and cardiovascular health. Positive airway pressure (PAP) therapy, commonly considered the first-line treatment, is limited by low compliance and lacking efficacy on long-term cardiovascular outcomes. A substantial body of research has been produced investigating (novel) non-PAP treatments. With increased understanding of OSA pathogenesis, promising therapeutic approaches are emerging. There is an imperative need of high-quality synthesis of evidence; however, current systematic reviews and meta-analyses (SR/MA) on the topic demonstrate important methodological limitations and are seldom based on research questions that fully reflect the complex intricacies of OSA management. Here, we discuss the current challenges in management of OSA, the need of treatable traits based OSA treatment, the methodological limitations of existing SR/MA in the field, potential remedies, as well as future perspectives.
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Affiliation(s)
- Daniil Lisik
- Krefting Research Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
| | - Gabriel Natan Pires
- Departamento de Psicobiologia, Universidade Federal de São Paulo, Rua Napoleão de Barros, São Paulo, Brazil
| | - Ding Zou
- Center for Sleep and Vigilance Disorders, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Abdelwahab M, Taheri N, Eltahir L, Erdogan C, Lee K, Liu SYC. Maxillomandibular Advancement Efficacy in Obstructive Sleep Apnea Patients With Class 2 Versus 3 Dentofacial Deformity. Otolaryngol Head Neck Surg 2023; 169:1366-1373. [PMID: 37449410 DOI: 10.1002/ohn.379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 04/09/2023] [Accepted: 05/01/2023] [Indexed: 07/18/2023]
Abstract
OBJECTIVE To compare the efficacy of maxillomandibular advancement (MMA) for patients with obstructive sleep apnea (OSA) with class 2 versus 3 dentofacial deformities (DFDs). STUDY DESIGN Retrospective chart review. SETTING Tertiary sleep surgery center. METHODS Patients with OSA and DFD class 2 versus 3 undergoing MMA at Stanford Sleep Surgery between 2014 and 2021 were matched by preoperative body mass index (BMI), age, and sex. Postoperative outcome was compared with polysomnography measures and patient-reported outcome measures (PROMs). RESULTS Twenty-eight matched subjects, 14 in each deformity group were identified and assessed. The mean age (standard deviation) was 34.29 (10.21) and 33.86 (10.23) for classes 2 and 3, respectively. The apnea-hypopnea index (AHI) decreased from 43.42 (28.30) to 9.6 (5.29) (p < .001) and 37.17 (35.77) to 11.81 (15.74) (p = .042) in class 2 and 3 subjects, respectively. The oxygen desaturation index (ODI) changed from 30.48 (24.02) to 6.88 (3.39) (p = .024) and 11.43 (11.40) to 5.44 (7.96) (p = .85) in class 2 and 3 subjects, respectively. The Epworth sleepiness scale changed from 8.93 (5.28) to 3.91 (2.70) (p = .018) and 10.23 (4.38) to 4.22 (3.07) (p = .006) in class 2 and 3 subjects, respectively. CONCLUSION Among age, sex, and BMI-matched subjects, MMA is equally effective in both dentofacial class 2 and 3 groups, both objectively and subjectively. Preoperatively, dentofacial class 2 patients with OSA presented with the more severe disease with higher AHI and ODI. Dentofacial class 3 patients with OSA may require additional attention to improve nasal function outcomes.
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Affiliation(s)
- Mohamed Abdelwahab
- Department of Otolaryngology-Head and Neck Surgery, Division of Sleep Surgery, Medical University of South Carolina, Charleston, South Carolina, SC, USA
| | - Nazlie Taheri
- Department of Otolaryngology-Head and Neck Surgery, Division of Sleep Surgery, Stanford University School of Medicine, Stanford, California, USA
| | - Lina Eltahir
- Department of Otolaryngology-Head and Neck Surgery, Division of Sleep Surgery, Stanford University School of Medicine, Stanford, California, USA
| | - Can Erdogan
- Department of Otolaryngology-Head and Neck Surgery, Division of Sleep Surgery, Stanford University School of Medicine, Stanford, California, USA
| | - Kyra Lee
- Department of Orthodontics, Arthur A. Dugoni School of Dentistry, San Francisco, California, USA
| | - Stanley Y-C Liu
- Department of Otolaryngology-Head and Neck Surgery, Division of Sleep Surgery, Stanford University School of Medicine, Stanford, California, USA
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Chappel-Farley MG, Adams JN, Betzel RF, Janecek JC, Sattari NS, Berisha DE, Meza NJ, Niknazar H, Kim S, Dave A, Chen IY, Lui KK, Neikrug AB, Benca RM, Yassa MA, Mander BA. Medial temporal lobe functional network architecture supports sleep-related emotional memory processing in older adults. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.27.564260. [PMID: 37961192 PMCID: PMC10634911 DOI: 10.1101/2023.10.27.564260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Memory consolidation occurs via reactivation of a hippocampal index during non-rapid eye movement slow-wave sleep (NREM SWS) which binds attributes of an experience existing within cortical modules. For memories containing emotional content, hippocampal-amygdala dynamics facilitate consolidation over a sleep bout. This study tested if modularity and centrality-graph theoretical measures that index the level of segregation/integration in a system and the relative import of its nodes-map onto central tenets of memory consolidation theory and sleep-related processing. Findings indicate that greater network integration is tied to overnight emotional memory retention via NREM SWS expression. Greater hippocampal and amygdala influence over network organization supports emotional memory retention, and hippocampal or amygdala control over information flow are differentially associated with distinct stages of memory processing. These centrality measures are also tied to the local expression and coupling of key sleep oscillations tied to sleep-dependent memory consolidation. These findings suggest that measures of intrinsic network connectivity may predict the capacity of brain functional networks to acquire, consolidate, and retrieve emotional memories.
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Affiliation(s)
- Miranda G. Chappel-Farley
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
| | - Jenna N. Adams
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
| | - Richard F. Betzel
- Department of Psychological and Brain Sciences, University of Indiana Bloomington, Bloomington IN, 47405
| | - John C. Janecek
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
| | - Negin S. Sattari
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
| | - Destiny E. Berisha
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
| | - Novelle J. Meza
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
| | - Hamid Niknazar
- Department of Cognitive Sciences, University of California Irvine, Irvine CA, 92697, USA
| | - Soyun Kim
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
| | - Abhishek Dave
- Department of Cognitive Sciences, University of California Irvine, Irvine CA, 92697, USA
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
| | - Ivy Y. Chen
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
| | - Kitty K. Lui
- San Diego State University/University of California San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, 92093, USA
| | - Ariel B. Neikrug
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
| | - Ruth M. Benca
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Department of Psychiatry, University of Wisconsin-Madison, Madison, 53706, WI, USA
- Department of Psychiatry and Behavioral Medicine, Wake Forest University, Winston-Salem, NC, 27109, USA
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, Irvine CA, 92697, USA
| | - Michael A. Yassa
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, Irvine CA, 92697, USA
- Department of Neurology, University of California Irvine, Irvine CA, 92697, USA
| | - Bryce A. Mander
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
- Department of Cognitive Sciences, University of California Irvine, Irvine CA, 92697, USA
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, Irvine CA, 92697, USA
- Department of Pathology and Laboratory Medicine, University of California Irvine, Irvine CA, 92697, USA
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78
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Martinot JB, Le-Dong NN, Tamisier R, Bailly S, Pépin JL. Determinants of apnea-hypopnea index variability during home sleep testing. Sleep Med 2023; 111:86-93. [PMID: 37741085 DOI: 10.1016/j.sleep.2023.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 08/14/2023] [Accepted: 09/03/2023] [Indexed: 09/25/2023]
Abstract
BACKGROUND A single-night attended in-laboratory polysomnography or home sleep testing are common approaches for obstructive sleep apnea (OSA) diagnosis. However, internight variability in apnea-hypopnea index value is common, and may result in misclassification of OSA severity and inapropriate treatment decisions. OBJECTIVE To investigate factors determining short-term apnea-hypopnea index variability using multi-night automated home sleep testing, and to determine how this variability impacts clinical decisions. PATIENTS/METHODS Adults with suspected OSA who successfully performed three home sleep tests using measurements of mandibular jaw movements (Sunrise, Namur, Belgium) combined with automated machine learning analysis were enrolled. Data analysis included principal component analysis, generalized estimating equation regression and qualitative agreement analysis. RESULTS 160 individuals who performed three sleep tests over a mean of 8.78 ± 8.48 days were included. The apnea-hypopnea index varied by -0.88 events/h (5th-95th percentile range: -14.33 to 9.72 events/h). Based on a single-night recording, rates of overtreatment and undertreatment would have been of 13.5% and 6.0%, respectively. Regression analysis adjusted for age, sex, body mass index, total sleep time, and time between home sleep tests showed that time spent in deep non-rapid eye movement sleep and with head in supine position were independent significant predictors of the apnea-hypopnea index variability. CONCLUSIONS At the individual level, short-term internight variability in the apnea-hypopnea index was significantly associated with time spent in deep non-rapid eye movement sleep and head in supine position. Clinical decisions based on a single-night testing may lead to errors in OSA severity classification and incorrect therapeutic decisions.
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Affiliation(s)
- Jean-Benoît Martinot
- Sleep Laboratory, CHU Université Catholique de Louvain (UCL), Namur Site Sainte-Elisabeth, Namur, Belgium; Institute of Experimental and Clinical Research, UCL Bruxelles Woluwe, Brussels, Belgium.
| | | | - Renaud Tamisier
- University Grenoble Alpes, HP2 Laboratory, Inserm U1300, Grenoble, France; EFRC Laboratory, Grenoble Alpes University Hospital, Grenoble, France
| | - Sébastien Bailly
- University Grenoble Alpes, HP2 Laboratory, Inserm U1300, Grenoble, France; EFRC Laboratory, Grenoble Alpes University Hospital, Grenoble, France
| | - Jean-Louis Pépin
- University Grenoble Alpes, HP2 Laboratory, Inserm U1300, Grenoble, France; EFRC Laboratory, Grenoble Alpes University Hospital, Grenoble, France
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79
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Sun Y, Wang F, Li S. Bidirectional relationship between 56 peripheral inflammatory regulators and sleep apnea syndrome: A Mendelian randomization study. Heart Lung 2023; 62:116-121. [PMID: 37437505 DOI: 10.1016/j.hrtlng.2023.06.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 06/20/2023] [Accepted: 06/25/2023] [Indexed: 07/14/2023]
Abstract
BACKGROUND Peripheral inflammation plays an potential role in both pathogenesis and outcomes of sleep apnea syndrome (SAS). However, this topic has not been explored at the genetic level. OBJECTIVES The aim of the study was to investigate the genetic interaction between a total of 56 peripheral inflammatory regulators and SAS, and to further reveal the genetic association of SAS-related inflammatory regulators with several neurological disorders. METHODS Summary data for SAS, cerebral atherosclerosis, vascular dementia and peripheral concentrations of these inflammatory regulators were collected from genome-wide association studies. Instrumental variables were extracted from these data for causal inference of exposure and outcome using Two-sample Mendelian randomization methods. All analyses were performed using R (version 3.5.2). RESULTS First, of the included 56 inflammatory regulators, higher IL-25 level and lower IL-23, IL-24, IL-36γ and MIP-1a levels in peripheral circulation significantly increased the risk of SAS (P<0.05). Second, SAS significantly decreased the peripheral levels of IL-17A, IL-23, IL-27, IL-36α and TRAIL (P<0.05). Third, there was no genetic relationship between SAS and other inflammatory regulators (P>0.05). Fourth, in the SAS-related inflammatory regulators mentioned above, decreased levels of IL-17A and IL-27 in peripheral circulation were significantly associated with the increased risk of cerebral atherosclerosis, and decreased level of TRAIL promoted the elevation of vascular dementia risk (P<0.05). CONCLUSION There was a interaction between peripheral inflammation and SAS at the genetic level. Furthermore, peripheral inflammation might involved in the mechanism for SAS causing some neurological diseases mentioned above.
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Affiliation(s)
- Yiran Sun
- School of Nursing, Anhui Medical University, Hefei 230601, Anhui Province, China; Operating room, Anhui Provincial Cancer Hospital, Hefei 230031, Anhui Province, China
| | - Feng Wang
- Department of Gastroenterology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Shuwen Li
- School of Nursing, Anhui Medical University, Hefei 230601, Anhui Province, China.
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80
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He S, Cistulli PA, de Chazal P. A Review of Novel Oximetry Parameters for the Prediction of Cardiovascular Disease in Obstructive Sleep Apnoea. Diagnostics (Basel) 2023; 13:3323. [PMID: 37958218 PMCID: PMC10649141 DOI: 10.3390/diagnostics13213323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 10/18/2023] [Accepted: 10/25/2023] [Indexed: 11/15/2023] Open
Abstract
Obstructive sleep apnoea (OSA) is a sleep disorder with repetitive collapse of the upper airway during sleep, which leads to intermittent hypoxic events overnight, adverse neurocognitive, metabolic complications, and ultimately an increased risk of cardiovascular disease (CVD). The standard diagnostic parameter for OSA, apnoea-hypopnoea index (AHI), is inadequate to predict CVD morbidity and mortality, because it focuses only on the frequency of apnoea and hypopnoea events, and fails to reveal other physiological information for the prediction of CVD events. Novel parameters have been introduced to compensate for the deficiencies of AHI. However, the calculation methods and criteria for these parameters are unclear, hindering their use in cross-study analysis and studies. This review aims to discuss novel parameters for predicting CVD events from oximetry signals and to summarise the corresponding computational methods.
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Affiliation(s)
- Siying He
- Charles Perkins Centre, Faculty of Engineering, Sydney University, Camperdown, NSW 2050, Australia;
| | - Peter A. Cistulli
- Charles Perkins Centre, Faculty of Medicine and Health, Sydney University, Camperdown, NSW 2050, Australia;
- Department of Respiratory and Sleep Medicine, Royal North Shore Hospital, St Leonards, NSW 2065, Australia
| | - Philip de Chazal
- Charles Perkins Centre, Faculty of Engineering, Sydney University, Camperdown, NSW 2050, Australia;
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81
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Araujo M, Mehra R. The Influence of Physiologic Burdens Related to Obstructive Sleep Apnea on Cardiovascular Outcomes. Am J Respir Crit Care Med 2023; 208:752-754. [PMID: 37610456 PMCID: PMC10563193 DOI: 10.1164/rccm.202307-1243ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 08/23/2023] [Indexed: 08/24/2023] Open
Affiliation(s)
- Matheus Araujo
- Neurological Institute Cleveland Clinic Foundation Cleveland, Ohio
- Cleveland Clinic Lerner College of Medicine Case Western Reserve University Cleveland, Ohio
| | - Reena Mehra
- Neurological Institute Respiratory Institute
- Heart and Vascular Institute Cleveland Clinic Foundation Cleveland, Ohio
- Department of Cardiovascular and Metabolic Sciences Cleveland Clinic Lerner Research Institute Cleveland, Ohio
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82
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Sinclair M, Alamdari HH, Paffile J, El-Sankary K, Lowe S, Driscoll S, Oore S, Tomson H, Begin G, Aristi G, Schmidt M, Roach D, Penzel T, Fietze I, Patel SR, Mehra R, Morrison D. The Beginning of the AI-Enabled Preventative PAP Therapy Era: A First-in-Human Proof of Concept Interventional Study. IEEE Trans Biomed Eng 2023; 70:2776-2787. [PMID: 37030831 DOI: 10.1109/tbme.2023.3263379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/01/2023]
Abstract
Positive Airway Pressure (PAP) therapy is the most common and efficacious treatment for Obstructive Sleep Apnea (OSA). However, it suffers from poor patient adherence due to discomfort and may not fully alleviate all adverse consequences of OSA. Identifying abnormal respiratory events before they have occurred may allow for improved management of PAP levels, leading to improved adherence and better patient outcomes. Our previous work has resulted in the successful development of a Machine-Learning (ML) algorithm for the prediction of future apneic events using existing airflow and air pressure sensors available internally to PAP devices. Although researchers have studied the use of ML for the prediction of apneas, research to date has focused primarily on using external polysomnography sensors that add to patient discomfort and has not investigated the use of internal-to-PAP sensors such as air pressure and airflow to predict and prevent respiratory events. We hypothesized that by using our predictive software, OSA events could be proactively prevented while maintaining patients' sleep quality. An intervention protocol was developed and applied to all patients to prevent OSA events. Although the protocol's cool-down period limited the number of prevention attempts, analysis of 11 participants revealed that our system improved many sleep parameters, which included a statistically significant 31.6% reduction in Apnea-Hypopnea Index, while maintaining sleep quality. Most importantly, our findings indicate the feasibility of unobtrusive identification and unique prevention of each respiratory event as well as paving the path to future truly personalized PAP therapy by further training of ML models on individual patients.
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83
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Baillieul S, Denis C, Barateau L, Arquizan C, Detante O, Pépin JL, Dauvilliers Y, Tamisier R. The multifaceted aspects of sleep and sleep-wake disorders following stroke. Rev Neurol (Paris) 2023; 179:782-792. [PMID: 37612191 DOI: 10.1016/j.neurol.2023.08.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 08/01/2023] [Indexed: 08/25/2023]
Abstract
Sleep-wake disorders (SWD) are acknowledged risk factors for both ischemic stroke and poor cardiovascular and functional outcome after stroke. SWD are frequent following stroke, with sleep apnea (SA) being the most frequent SWD affecting more than half of stroke survivors. While sleep disturbances and SWD are frequently reported in the acute phase, they may persist in the chronic phase after an ischemic stroke. Despite the frequency and risk associated with SWD following stroke, screening for SWD remains rare in the clinical setting, due to challenges in the assessment of post-stroke SWD, uncertainty regarding the optimal timing for their diagnosis, and a lack of clear treatment guidelines (i.e., when to treat and the optimal treatment strategy). However, little evidence support the feasibility of SWD treatment even in the acute phase of stroke and its favorable effect on long-term cardiovascular and functional outcomes. Thus, sleep health recommendations and SWD treatment should be systematically embedded in secondary stroke prevention strategy. We therefore propose that the management of SWD associated with stroke should rely on a multidisciplinary approach, with an integrated diagnostic, treatment, and follow-up strategy. The challenges in the field are to improve post-stroke SWD diagnosis, prognosis and treatment, through a better appraisal of their pathophysiology and temporal evolution.
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Affiliation(s)
- S Baillieul
- Université Grenoble Alpes, Inserm, U1300, CHU Grenoble Alpes, Service Universitaire de Pneumologie Physiologie, 38000 Grenoble, France.
| | - C Denis
- National Reference Centre for Orphan Diseases Narcolepsy Rare Hypersomnias, Sleep Disorders Unit, Department of Neurology, CHU de Montpellier, University of Montpellier, Montpellier, France
| | - L Barateau
- National Reference Centre for Orphan Diseases Narcolepsy Rare Hypersomnias, Sleep Disorders Unit, Department of Neurology, CHU de Montpellier, University of Montpellier, Montpellier, France; Institute for Neurosciences of Montpellier (INM), University of Montpellier, Inserm, Montpellier, France
| | - C Arquizan
- Department of Neurology, Hôpital Gui-de-Chauliac, Montpellier, France; Inserm U1266, Paris, France
| | - O Detante
- Neurology Department, Grenoble Alpes University Hospital, Grenoble, France
| | - J-L Pépin
- Université Grenoble Alpes, Inserm, U1300, CHU Grenoble Alpes, Service Universitaire de Pneumologie Physiologie, 38000 Grenoble, France
| | - Y Dauvilliers
- National Reference Centre for Orphan Diseases Narcolepsy Rare Hypersomnias, Sleep Disorders Unit, Department of Neurology, CHU de Montpellier, University of Montpellier, Montpellier, France; Institute for Neurosciences of Montpellier (INM), University of Montpellier, Inserm, Montpellier, France
| | - R Tamisier
- Université Grenoble Alpes, Inserm, U1300, CHU Grenoble Alpes, Service Universitaire de Pneumologie Physiologie, 38000 Grenoble, France
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84
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Labarca G, Vena D, Hu WH, Esmaeili N, Gell L, Yang HC, Wang TY, Messineo L, Taranto-Montemurro L, Sofer T, Barr RG, Stone KL, White DP, Wellman A, Sands S, Redline S, Azarbarzin A. Sleep Apnea Physiological Burdens and Cardiovascular Morbidity and Mortality. Am J Respir Crit Care Med 2023; 208:802-813. [PMID: 37418748 PMCID: PMC10563185 DOI: 10.1164/rccm.202209-1808oc] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 07/07/2023] [Indexed: 07/09/2023] Open
Abstract
Rationale: Obstructive sleep apnea is characterized by frequent reductions in ventilation, leading to oxygen desaturations and/or arousals. Objectives: In this study, association of hypoxic burden with incident cardiovascular disease (CVD) was examined and compared with that of "ventilatory burden" and "arousal burden." Finally, we assessed the extent to which the ventilatory burden, visceral obesity, and lung function explain variations in hypoxic burden. Methods: Hypoxic, ventilatory, and arousal burdens were measured from baseline polysomnograms in the Multi-Ethnic Study of Atherosclerosis (MESA) and the Osteoporotic Fractures in Men (MrOS) studies. Ventilatory burden was defined as event-specific area under ventilation signal (mean normalized, area under the mean), and arousal burden was defined as the normalized cumulative duration of all arousals. The adjusted hazard ratios for incident CVD and mortality were calculated. Exploratory analyses quantified contributions to hypoxic burden of ventilatory burden, baseline oxygen saturation as measured by pulse oximetry, visceral obesity, and spirometry parameters. Measurements and Main Results: Hypoxic and ventilatory burdens were significantly associated with incident CVD (adjusted hazard ratio [95% confidence interval] per 1 SD increase in hypoxic burden: MESA, 1.45 [1.14, 1.84]; MrOS, 1.13 [1.02, 1.26]; ventilatory burden: MESA, 1.38 [1.11, 1.72]; MrOS, 1.12 [1.01, 1.25]), whereas arousal burden was not. Similar associations with mortality were also observed. Finally, 78% of variation in hypoxic burden was explained by ventilatory burden, whereas other factors explained only <2% of variation. Conclusions: Hypoxic and ventilatory burden predicted CVD morbidity and mortality in two population-based studies. Hypoxic burden is minimally affected by measures of adiposity and captures the risk attributable to ventilatory burden of obstructive sleep apnea rather than a tendency to desaturate.
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Affiliation(s)
- Gonzalo Labarca
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Daniel Vena
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Wen-Hsin Hu
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Neda Esmaeili
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Laura Gell
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Hyung Chae Yang
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Otolaryngology-Head and Neck Surgery, Chonnam National University Medical School and Chonnam National University Hospital, Gwangju, South Korea
| | - Tsai-Yu Wang
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Ludovico Messineo
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Luigi Taranto-Montemurro
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Robert G. Barr
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York; and
| | - Katie L. Stone
- Research Institute, California Pacific Medical Center, San Francisco, California
| | - David P. White
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Andrew Wellman
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Scott Sands
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Ali Azarbarzin
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
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85
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Martinot JB, Le-Dong NN, Borel AL, Tamisier R, Malhotra A, Pépin JL. Respiratory effort during sleep and the rate of prevalent type 2 diabetes in obstructive sleep apnoea. Diabetes Obes Metab 2023; 25:2815-2823. [PMID: 37312670 PMCID: PMC10527265 DOI: 10.1111/dom.15169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 05/15/2023] [Accepted: 05/24/2023] [Indexed: 06/15/2023]
Abstract
AIM To determine the association between total sleep time (TST) spent in increased respiratory effort (RE) and the prevalence of type 2 diabetes in a large cohort of individuals with suspected obstructive sleep apnoea (OSA) referred for in-laboratory polysomnography (PSG). MATERIALS AND METHODS We conducted a retrospective cross-sectional study using the clinical data of 1128 patients. Non-invasive measurements of RE were derived from the sleep mandibular jaw movements (MJM) bio-signal. An explainable machine-learning model was built to predict prevalent type 2 diabetes from clinical data, standard PSG indices, and MJM-derived parameters (including the proportion of TST spent with increased respiratory effort [REMOV [%TST]). RESULTS Original data were randomly assigned to training (n = 853) and validation (n = 275) subsets. The classification model based on 18 input features including REMOV showed good performance for predicting prevalent type 2 diabetes (sensitivity = 0.81, specificity = 0.89). Post hoc interpretation using the Shapley additive explanation method found that a high value of REMOV was the most important risk factor associated with type 2 diabetes after traditional clinical variables (age, sex, body mass index), and ahead of standard PSG metrics including the apnoea-hypopnea and oxygen desaturation indices. CONCLUSIONS These findings show for the first time that the proportion of sleep time spent in increased RE (assessed through MJM measurements) is an important predictor of the association with type 2 diabetes in individuals with OSA.
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Affiliation(s)
- Jean-Benoit Martinot
- Sleep Laboratory, CHU Université catholique de Louvain (UCL) Namur Site Sainte-Elisabeth, Namur, Belgium
- Institute of Experimental and Clinical Research, UCL Bruxelles Woluwe, Brussels, Belgium
| | | | - Anne-Laure Borel
- University of Grenoble Alpes, HP2 Laboratory, Inserm U1300, Grenoble, France
| | - Renaud Tamisier
- University of Grenoble Alpes, HP2 Laboratory, Inserm U1300, Grenoble, France
| | - Atul Malhotra
- University of California San Diego, La Jolla, California, USA
| | - Jean-Louis Pépin
- University of Grenoble Alpes, HP2 Laboratory, Inserm U1300, Grenoble, France
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86
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Arslan RS. Sleep disorder and apnea events detection framework with high performance using two-tier learning model design. PeerJ Comput Sci 2023; 9:e1554. [PMID: 37810361 PMCID: PMC10557519 DOI: 10.7717/peerj-cs.1554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 08/04/2023] [Indexed: 10/10/2023]
Abstract
Sleep apnea is defined as a breathing disorder that affects sleep. Early detection of sleep apnea helps doctors to take intervention for patients to prevent sleep apnea. Manually making this determination is a time-consuming and subjectivity problem. Therefore, many different methods based on polysomnography (PSG) have been proposed and applied to detect this disorder. In this study, a unique two-layer method is proposed, in which there are four different deep learning models in the deep neural network (DNN), gated recurrent unit (GRU), recurrent neural network (RNN), RNN-based-long term short term memory (LSTM) architecture in the first layer, and a machine learning-based meta-learner (decision-layer) in the second layer. The strategy of making a preliminary decision in the first layer and verifying/correcting the results in the second layer is adopted. In the training of this architecture, a vector consisting of 23 features consisting of snore, oxygen saturation, arousal and sleep score data is used together with PSG data. A dataset consisting of 50 patients, both children and adults, is prepared. A number of pre-processing and under-sampling applications have been made to eliminate the problem of unbalanced classes. Proposed method has an accuracy of 95.74% and 99.4% in accuracy of apnea detection (apnea, hypopnea and normal) and apnea types detection (central, mixed and obstructive), respectively. Experimental results demonstrate that patient-independent consistent results can be produced with high accuracy. This robust model can be considered as a system that will help in the decisions of sleep clinics where it is expected to detect sleep disorders in detail with high performance.
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87
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Karuga FF, Kaczmarski P, Białasiewicz P, Szmyd B, Jaromirska J, Grzybowski F, Gebuza P, Sochal M, Gabryelska A. REM-OSA as a Tool to Understand Both the Architecture of Sleep and Pathogenesis of Sleep Apnea-Literature Review. J Clin Med 2023; 12:5907. [PMID: 37762848 PMCID: PMC10531579 DOI: 10.3390/jcm12185907] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/03/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023] Open
Abstract
Sleep is a complex physiological state, which can be divided into the non-rapid eye movement (NREM) phase and the REM phase. Both have some unique features and functions. This difference is best visible in electroencephalography recordings, respiratory system activity, arousals, autonomic nervous system activity, or metabolism. Obstructive sleep apnea (OSA) is a common condition characterized by recurrent episodes of pauses in breathing during sleep caused by blockage of the upper airways. This common condition has multifactorial ethiopathogenesis (e.g., anatomical predisposition, sex, obesity, and age). Within this heterogenous syndrome, some distinctive phenotypes sharing similar clinical features can be recognized, one of them being REM sleep predominant OSA (REM-OSA). The aim of this review was to describe the pathomechanism of REM-OSA phenotype, its specific clinical presentation, and its consequences. Available data suggest that in this group of patients, the severity of specific cardiovascular and metabolic complications is increased. Due to the impact of apneas and hypopneas predominance during REM sleep, patients are more prone to develop hypertension or glucose metabolism impairment. Additionally, due to the specific function of REM sleep, which is predominantly fragmented in the REM-OSA, this group presents with decreased neurocognitive performance, reflected in memory deterioration, and mood changes including depression. REM-OSA clinical diagnosis and treatment can alleviate these outcomes, surpassing the traditional treatment and focusing on a more personalized approach, such as using longer therapy of continuous positive airway pressure or oral appliance use.
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Affiliation(s)
- Filip Franciszek Karuga
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Mazowiecka St. 6/8, 92-251 Lodz, Poland (F.G.)
| | - Piotr Kaczmarski
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Mazowiecka St. 6/8, 92-251 Lodz, Poland (F.G.)
| | - Piotr Białasiewicz
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Mazowiecka St. 6/8, 92-251 Lodz, Poland (F.G.)
| | - Bartosz Szmyd
- Department of Pediatrics, Oncology and Hematology, Medical University of Lodz, Sporna St. 36/50, 91-738 Lodz, Poland
- Department of Neurosurgery and Neuro-Oncology, Medical University of Lodz, Barlicki University Hospital, Kopcinskiego St. 22, 90-153 Lodz, Poland
| | - Julia Jaromirska
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Mazowiecka St. 6/8, 92-251 Lodz, Poland (F.G.)
| | - Filip Grzybowski
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Mazowiecka St. 6/8, 92-251 Lodz, Poland (F.G.)
| | - Piotr Gebuza
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Mazowiecka St. 6/8, 92-251 Lodz, Poland (F.G.)
| | - Marcin Sochal
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Mazowiecka St. 6/8, 92-251 Lodz, Poland (F.G.)
| | - Agata Gabryelska
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Mazowiecka St. 6/8, 92-251 Lodz, Poland (F.G.)
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Abstract
Automatic polysomnography analysis can be leveraged to shorten scoring times, reduce associated costs, and ultimately improve the overall diagnosis of sleep disorders. Multiple and diverse strategies have been attempted for implementation of this technology at scale in the routine workflow of sleep centers. The field, however, is complex and presents unsolved challenges in a number of areas. Recent developments in computer science and artificial intelligence are nevertheless closing the gap. Technological advances are also opening new pathways for expanding our current understanding of the domain and its analysis.
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Affiliation(s)
- Diego Alvarez-Estevez
- Center for Information and Communications Technology Research (CITIC), Universidade da Coruña, 15071 A Coruña, Spain.
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89
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Qiao M, Xie Y, Wolff A, Kwon J. Long term adherence to continuous positive Airway pressure in mild obstructive sleep apnea. BMC Pulm Med 2023; 23:320. [PMID: 37658304 PMCID: PMC10472589 DOI: 10.1186/s12890-023-02612-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 08/24/2023] [Indexed: 09/03/2023] Open
Abstract
BACKGROUND Studies have shown that a significant percentage of patients with obstructive sleep apnea (OSA) do not tolerate continuous positive airway pressure (CPAP) therapy and long-term use may be as low as 30%. Given the lower levels of symptoms and health-related risks, patients with mild sleep apnea may be at even higher risk for non-adherence to long term CPAP. The purpose of our study was to investigate the prevalence and associations of long-term CPAP adherence in first time users with mild sleep apnea diagnosed by home sleep apnea testing (HSAT). METHODS We identified all the patients who were diagnosed with mild sleep apnea (5 = < AHI < 15) by home sleep apnea testing from 01/2013 to 06/2019 at a large, combined community and hospital-based sleep practice. Only first time CPAP users were included. Compliance was defined as CPAP usage ≥ 4 h per night on ≥ 70% of nights over 30 consecutive days. We defined long term adherence as compliance on the 12th month following CPAP set up. Patient demographics, comorbidities, and CPAP compliance at 1st, 3rd, 6th, 9th and 12th month after therapy initiation were collected. We compared and identified the factors that had significant difference (P < 0.1) between compliant and non-compliant groups at the 12th month. RESULTS 222 patients were included in the analysis. 57 (25.7%) patients were adherent with long term CPAP treatment. The following factors were associated with a greater likelihood for long-term CPAP adherence: older age, lower body mass index (BMI), presence of a bed partner, non-smoker, presence of Diabetes Mellitus (DM), presence of Heart Failure (CHF), lack of depression, and compliance at 1st, 3rd, 6th and 9th month. CONCLUSIONS Long term CPAP compliance in mild sleep apnea patients is low. Long term adherence to CPAP can be predicted based on CPAP adherence during the first three months.
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Affiliation(s)
- Min Qiao
- Pulmonary and critical care medicine, University of Rochester Medical Center, 601 Elmwood Ave, 14642, Rochester, NY, USA.
| | - Yiyu Xie
- Medicine department, University of Massachusetts Chan Medical School, 55 Lake Ave, North Worcester, 01655, Worcester, MA, USA
| | - Armand Wolff
- Pulmonary disease, critical care and sleep medicine, 267 Grant St, Yale New Haven Health Bridgeport Hospital, Bridgeport, CT, 06610, USA
| | - Jeff Kwon
- Pulmonary disease, critical care and sleep medicine, 267 Grant St, Yale New Haven Health Bridgeport Hospital, Bridgeport, CT, 06610, USA
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90
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Emilsson ÖI, Aspelund T, Janson C, Benediktsdottir B, Juliusson S, Maislin G, Pack AI, Keenan BT, Gislason T. Positive airway pressure treatment affects respiratory symptoms and gastro-oesophageal reflux: the Icelandic Sleep Apnea Cohort Study. ERJ Open Res 2023; 9:00387-2023. [PMID: 37817868 PMCID: PMC10561083 DOI: 10.1183/23120541.00387-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 07/24/2023] [Indexed: 10/12/2023] Open
Abstract
Aim To study the effect of positive airway pressure (PAP) treatment on nocturnal gastro-oesophageal reflux (nGOR) and respiratory symptoms among clinical obstructive sleep apnoea (OSA) patients. Methods 822 patients newly diagnosed with OSA referred for PAP treatment were recruited. 732 patients had a 2-year follow-up visit with continuous PAP compliance data (366 full PAP users, 366 partial/non-PAP users). They answered questionnaires, including reporting of nGOR, sleep and respiratory symptoms and general health. Patients with nGOR symptoms once a week or more were defined as "with nGOR". Those without nGOR symptoms and nGOR medication were defined as "no nGOR". Others were defined as "possible nGOR". Results At 2-year follow-up, PAP treatment among full users resulted in decreased nGOR (adjusted OR 0.58, 95% CI 0.40-0.86) and wheezing (adjusted OR 0.56, 95% CI 0.35-0.88) compared with partial/non-PAP users. Decreased nGOR, among both full and partial/non-users of PAP treatment, was associated with a decrease in productive morning cough (adjusted OR 4.70, 95% CI 2.22-9.99) and a decrease in chronic bronchitis (adjusted OR 3.86, 95% CI 1.74-8.58), but not decreased wheezing (adjusted OR 0.90, 95% CI 0.39-2.08). A mediation analysis found that PAP treatment directly led to a decrease in wheezing, not mediated through nGOR. Conversely, PAP treatment decreased productive cough mediated through a decrease in nGOR. Conclusion In an unselected group of OSA patients, PAP treatment for 2 years was associated with a decrease in nGOR and respiratory symptoms. The PAP treatment itself was associated with less wheezing. A decrease in nGOR through PAP treatment was associated with a decrease in productive cough.
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Affiliation(s)
- Össur Ingi Emilsson
- Department of Sleep, Landspitali – The National University Hospital of Iceland, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Department of Medical Sciences: Respiratory Medicine and Allergology, Uppsala University, Uppsala, Sweden
| | - Thor Aspelund
- Centre for Public Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Christer Janson
- Department of Medical Sciences: Respiratory Medicine and Allergology, Uppsala University, Uppsala, Sweden
| | - Bryndis Benediktsdottir
- Department of Sleep, Landspitali – The National University Hospital of Iceland, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Sigurdur Juliusson
- Department of Otolaryngology, Landspitali – The National University Hospital of Iceland, Reykjavik, Iceland
| | - Greg Maislin
- Division of Sleep Medicine/Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
| | - Allan I. Pack
- Division of Sleep Medicine/Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
| | - Brendan T. Keenan
- Division of Sleep Medicine/Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
| | - Thorarinn Gislason
- Department of Sleep, Landspitali – The National University Hospital of Iceland, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
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91
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Onuki K, Ikeda A, Muraki I, Tanaka M, Yamagishi K, Kiyama M, Okada T, Kubota Y, Imano H, Kitamura A, Sankai T, Umesawa M, Ohira T, Iso H, Tanigawa T. Nocturnal Intermittent Hypoxia and the Risk of Cardiovascular Disease among Japanese Populations: The Circulatory Risk in Communities Study (CIRCS). J Atheroscler Thromb 2023; 30:1276-1287. [PMID: 36642535 PMCID: PMC10499452 DOI: 10.5551/jat.63754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 11/17/2022] [Indexed: 01/15/2023] Open
Abstract
AIMS Information is limited about the influence of obstructive sleep apnea (OSA) on developing cardiovascular disease (CVD) among Asian community-dwelling populations. We examined the association between nocturnal intermittent hypoxia as a surrogate marker of OSA and the risk of CVD in a Japanese community-based cohort study. METHODS We used baseline surveys from 2000 to 2008 to study the cohort data of 5,313 residents from three Japanese communities who were between the ages of 40 and 74 years and initially free from ischemic heart disease and stroke. We assessed the number of 3% oxygen desaturation index (ODI) as the indicator of nocturnal intermittent hypoxia. We divided individuals into two groups depending on 3% ODI (3% ODI ≥ 5 or 3% ODI <5). Cox proportional hazards regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for CVD according to 3% ODI. Age, sex, body mass index, alcohol, and smoking were adjusted in the multivariable models. RESULTS During 12.8 years of the median follow-up with 66,796 person-years, 185 cases with CVD (115 stroke and 70 coronary heart disease [CHD]) were recorded. The multivariable HRs (95% CIs) were 1.49 (1.09-2.03), 2.13 (1.08-4.22), and 1.93 (1.16-3.19) for the 3% ODI ≥ 5 group versus the 3% ODI <5 group of developing CVD, lacunar infarction, and CHD, respectively. CONCLUSIONS Nocturnal intermittent hypoxia may increase the risk of developing lacunar infarction and CHD among community-dwelling Japanese populations. However, we could not find a significant risk of developing total stroke or stroke subtypes such as intraparenchymal hemorrhage, subarachnoid hemorrhage, and total ischemic stroke.
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Affiliation(s)
- Keisuke Onuki
- Department of Public Health, Graduate School of Juntendo University, Tokyo, Japan
| | - Ai Ikeda
- Department of Public Health, Graduate School of Juntendo University, Tokyo, Japan
| | - Isao Muraki
- Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Mari Tanaka
- Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Public Health, Kindai University Faculty of Medicine, Osaka, Japan
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Ibaraki, Japan
- Ibaraki Western Medical Center, Ibaraki, Japan
| | - Masahiko Kiyama
- Osaka Center for Cancer and Cardiovascular Disease Prevention, Osaka, Japan
| | - Takeo Okada
- Osaka Center for Cancer and Cardiovascular Disease Prevention, Osaka, Japan
| | - Yasuhiko Kubota
- Osaka Center for Cancer and Cardiovascular Disease Prevention, Osaka, Japan
| | - Hironori Imano
- Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Public Health, Kindai University Faculty of Medicine, Osaka, Japan
- Osaka Center for Cancer and Cardiovascular Disease Prevention, Osaka, Japan
| | | | - Tomoko Sankai
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Ibaraki, Japan
| | - Mitsumasa Umesawa
- Department of Public Health, Dokkyo Medical University School of Medicine, Tochigi, Japan
| | - Tetsuya Ohira
- Department of Epidemiology, Fukushima Medical University, Fukushima, Japan
| | - Hiroyasu Iso
- Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
- Institute for Global Health Policy Research, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan
| | - Takeshi Tanigawa
- Department of Public Health, Graduate School of Juntendo University, Tokyo, Japan
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92
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Cheng WJ, Finnsson E, Arnardóttir E, Ágústsson JS, Sands SA, Hang LW. Relationship between Symptom Profiles and Endotypes among Patients with Obstructive Sleep Apnea: A Latent Class Analysis. Ann Am Thorac Soc 2023; 20:1337-1344. [PMID: 37321164 PMCID: PMC10502883 DOI: 10.1513/annalsats.202212-1054oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 06/15/2023] [Indexed: 06/17/2023] Open
Abstract
Rationale: Obstructive sleep apnea (OSA) is a heterogeneous syndrome with various endotypic traits and symptoms. A link among symptoms, endotypes, and disease prognosis has been proposed but remains unsupported by empirical data. Objectives: To link symptom profiles and endotypes by clustering endotypic traits estimated using polysomnographic signals. Methods: We recruited 509 patients with moderate to severe OSA from a single sleep center. Polysomnographic data were collected between May 2020 and January 2022. Endotypic traits, namely arousal threshold, upper airway collapsibility, loop gain, and upper airway muscle compensation, were retrieved using polysomnographic signals during non-rapid eye movement periods. We used latent class analysis to group participants into endotype clusters. Demographic and polysomnographic parameter differences were compared between clusters, and associations between endotype clusters and symptom profiles were examined using logistic regression analyses. Results: Three endotype clusters were identified, characterized by high collapsibility/loop gain, low arousal threshold, and low compensation, respectively. Patients in each cluster exhibited similar demographic characteristics, but those in the high collapsibility/loop gain cluster had the highest proportion of obesity and severe oxygen desaturation observed in polysomnographic studies. The low compensation cluster was characterized by fewer sleepy symptoms and exhibited a lower rate of diabetes mellitus. Compared with the excessively sleepy group, disturbed sleep symptoms were associated with the low arousal threshold cluster (odds ratio, 1.89; 95% confidence interval, 1.16-3.10). Excessively sleepy symptoms were associated with the high collapsibility/loop gain cluster (odds ratio, 2.16; 95% confidence interval, 1.39-3.37) compared with the minimally symptomatic group. Conclusions: Three pathological endotype clusters were identified among patients with moderate to severe OSA, each exhibiting distinct polysomnographic characteristics and clinical symptom profiles.
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Affiliation(s)
- Wan-Ju Cheng
- Department of Psychiatry and
- Department of Public Health and
- National Center for Geriatrics and Welfare Research, National Health Research Institutes, Miaoli, Taiwan
| | | | | | | | - Scott A. Sands
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Liang-Wen Hang
- Sleep Medicine Center, Department of Pulmonary and Critical Care Medicine, China Medical University Hospital, Taichung, Taiwan
- School of Nursing & Graduate Institute of Nursing, China Medical University, Taichung, Taiwan
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93
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Pack AI. Unmasking Heterogeneity of Sleep Apnea. Sleep Med Clin 2023; 18:293-299. [PMID: 37532370 DOI: 10.1016/j.jsmc.2023.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2023]
Abstract
Sleep apnea is heterogeneous in multiple dimensions. There are different physiological risk factors that may have clinical relevance. However, assessing them is challenging. An approach to ascertain them using a simple model of ventilatory control has been proposed. It is based, however, on untenable assumptions. There are limited validation data and reproducibility is not stellar. There are also different symptom subtypes. They have been found in multiple population-based and clinical cohorts worldwide. Symptomatic benefit from therapy is most marked in the excessively sleepy subtype. This group may also be the group at increased CV risk from obstructive sleep apnea.
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Affiliation(s)
- Allan I Pack
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, 125 South 31st Street, Translational Resesarch Laboratories, Suite 2100, Philadelphia, PA 19104, USA.
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94
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Zhao B, Cao Z, Xie Y, Shi Y, Zhang Y, Liu S, Chen X, Ma L, Niu X, Su Y, Feng Y, Lian C, Ren X, Liu H. The relationship of tongue fat content and efficacy of uvulopalatopharyngoplasty in Chinese patients with obstructive sleep apnea. BMC Surg 2023; 23:254. [PMID: 37635206 PMCID: PMC10463434 DOI: 10.1186/s12893-023-02144-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 08/08/2023] [Indexed: 08/29/2023] Open
Abstract
BACKGROUND To investigate the relationship between tongue fat content and severity of obstructive sleep apnea (OSA) and its effects on the efficacy of uvulopalatopharyngoplasty (UPPP) in the Chinese group. METHOD Fifty-two participants concluded to this study were diagnosed as OSA by performing polysomnography (PSG) then they were divided into moderate group and severe group according to apnea hypopnea index (AHI). All of them were also collected a series of data including age, BMI, height, weight, neck circumference, abdominal circumference, magnetic resonance imaging (MRI) of upper airway and the score of Epworth Sleepiness Scale (ESS) on the morning after they completed PSG. The relationship between tongue fat content and severity of OSA as well as the association between tongue fat content in pre-operation and surgical efficacy were analyzed.Participants underwent UPPP and followed up at 3rd month after surgery, and they were divided into two groups according to the surgical efficacy. RESULTS There were 7 patients in the moderate OSA group and 45 patients in the severe OSA group. The tongue volume was significantly larger in the severe OSA group than that in the moderate OSA group. There was no difference in tongue fat volume and tongue fat rate between the two groups. There was no association among tongue fat content, AHI, obstructive apnea hypopnea index, obstructive apnea index and Epworth sleepiness scale (all P > 0.05), but tongue fat content was related to the lowest oxygen saturation (r=-0.335, P < 0.05). There was no significantly difference in pre-operative tongue fat content in two different surgical efficacy groups. CONCLUSIONS This study didn't show an association between tongue fat content and the severity of OSA in the Chinese group, but it suggested a negative correlation between tongue fat content and the lowest oxygen saturation (LSaO2). Tongue fat content didn't influence surgical efficacy of UPPP in Chinese OSA patients. TRIAL REGISTRATION This study didn't report on a clinical trial, it was retrospectively registered.
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Affiliation(s)
- Bingjie Zhao
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, No.157, Xiwu Road, Xi'an, Shaanxi, 710004, China
| | - Zine Cao
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, No.157, Xiwu Road, Xi'an, Shaanxi, 710004, China
| | - Yushan Xie
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, No.157, Xiwu Road, Xi'an, Shaanxi, 710004, China
| | - Yewen Shi
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, No.157, Xiwu Road, Xi'an, Shaanxi, 710004, China
| | - Yitong Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, No.157, Xiwu Road, Xi'an, Shaanxi, 710004, China
| | - Shiyu Liu
- School of Mathematics and Statistics, Xi'an Jiaotong University, No.28, Xianningxi Road, Xi'an, Shaanxi, 710049, China
| | - Xi Chen
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, No.157, Xiwu Road, Xi'an, Shaanxi, 710004, China
| | - Lina Ma
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, No.157, Xiwu Road, Xi'an, Shaanxi, 710004, China
| | - Xiaoxin Niu
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, No.157, Xiwu Road, Xi'an, Shaanxi, 710004, China
| | - Yonglong Su
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, No.157, Xiwu Road, Xi'an, Shaanxi, 710004, China
| | - Yani Feng
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, No.157, Xiwu Road, Xi'an, Shaanxi, 710004, China
| | - Chunfeng Lian
- School of Mathematics and Statistics, Xi'an Jiaotong University, No.28, Xianningxi Road, Xi'an, Shaanxi, 710049, China.
| | - Xiaoyong Ren
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, No.157, Xiwu Road, Xi'an, Shaanxi, 710004, China.
| | - Haiqin Liu
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, No.157, Xiwu Road, Xi'an, Shaanxi, 710004, China.
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95
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Ross M, Fonseca P, Overeem S, Vasko R, Cerny A, Shaw E, Anderer P. Autonomic arousal detection and cardio-respiratory sleep staging improve the accuracy of home sleep apnea tests. Front Physiol 2023; 14:1254679. [PMID: 37693002 PMCID: PMC10484584 DOI: 10.3389/fphys.2023.1254679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 08/11/2023] [Indexed: 09/12/2023] Open
Abstract
Introduction: The apnea-hypopnea index (AHI), defined as the number of apneas and hypopneas per hour of sleep, is still used as an important index to assess sleep disordered breathing (SDB) severity, where hypopneas are confirmed by the presence of an oxygen desaturation or an arousal. Ambulatory polygraphy without neurological signals, often referred to as home sleep apnea testing (HSAT), can potentially underestimate the severity of sleep disordered breathing (SDB) as sleep and arousals are not assessed. We aim to improve the diagnostic accuracy of HSATs by extracting surrogate sleep and arousal information derived from autonomic nervous system activity with artificial intelligence. Methods: We used polysomnographic (PSG) recordings from 245 subjects (148 with simultaneously recorded HSATs) to develop and validate a new algorithm to detect autonomic arousals using artificial intelligence. A clinically validated auto-scoring algorithm (Somnolyzer) scored respiratory events, cortical arousals, and sleep stages in PSGs, and provided respiratory events and sleep stages from cardio-respiratory signals in HSATs. In a four-fold cross validation of the newly developed algorithm, we evaluated the accuracy of the estimated arousal index and HSAT-derived surrogates for the AHI. Results: The agreement between the autonomic and cortical arousal index was moderate to good with an intraclass correlation coefficient of 0.73. When using thresholds of 5, 15, and 30 to categorize SDB into none, mild, moderate, and severe, the addition of sleep and arousal information significantly improved the classification accuracy from 70.2% (Cohen's κ = 0.58) to 80.4% (κ = 0.72), with a significant reduction of patients where the severity category was underestimated from 18.8% to 7.3%. Discussion: Extracting sleep and arousal information from autonomic nervous system activity can improve the diagnostic accuracy of HSATs by significantly reducing the probability of underestimating SDB severity without compromising specificity.
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Affiliation(s)
- Marco Ross
- Philips Sleep and Respiratory Care, Vienna, Austria
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - Pedro Fonseca
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
- Philips Research, Eindhoven, Netherlands
| | - Sebastiaan Overeem
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
- Sleep Medicine Center Kempenhaeghe, Heeze, Netherlands
| | - Ray Vasko
- Philips Sleep and Respiratory Care, Pittsburgh, PA, United States
| | | | - Edmund Shaw
- Philips Sleep and Respiratory Care, Pittsburgh, PA, United States
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Jagielski JT, Bibi N, Gay PC, Junna MR, Carvalho DZ, Williams JA, Morgenthaler TI. Evaluating an under-mattress sleep monitor compared to a peripheral arterial tonometry home sleep apnea test device in the diagnosis of obstructive sleep apnea. Sleep Breath 2023; 27:1433-1441. [PMID: 36441446 DOI: 10.1007/s11325-022-02751-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 11/07/2022] [Accepted: 11/17/2022] [Indexed: 11/29/2022]
Abstract
STUDY OBJECTIVES To evaluate whether or not the apnea-hypopnea index (AHI) from a peripheral arterial tonometry (PAT) home sleep apnea test (HSAT) is equivalent to the AHI provided by the mean of one, three, or seven nights from the Withings Sleep Analyzer (WSA) under-mattress device. METHODS We prospectively enrolled patients with suspected OSA in whom a PAT-HSAT was ordered. Eligible patients used the WSA for seven to nine nights. PAT data were scored using the device's intrinsic machine learning algorithms to arrive at the AHI using both 3% and 4% desaturation criteria for hypopnea estimations (PAT3%-AHI and PAT4%-AHI, respectively). These were then compared with the WSA-estimated AHI (WSA-AHI). RESULTS Of 61 patients enrolled, 35 completed the study with valid PAT and WSA data. Of the 35 completers 16 (46%) had at least moderately severe OSA (PAT3%-AHI ≥ 15). The seven-night mean WSA-AHI was 2.13 (95%CI = - 0.88, 5.14) less than the PAT3%-AHI, but 5.64 (95%CI = 2.54, 8.73) greater than the PAT4%-AHI. The accuracy and area under the receiver operating curve (AUC) using the PAT3%-AHI ≥ 15 were 77% and 0.87 and for PAT4%-AHI ≥ 15 were 77% and 0.85, respectively. The one-, three-, or seven-night WSA-AHI were not equivalent to either the 3% or 4% PAT-AHI (equivalency threshold of ± 2.5 using the two one-sided t-test method). CONCLUSIONS The WSA derives estimates of the AHI unobtrusively over many nights, which may prove to be a valuable clinical tool. However, the WSA-AHI over- or underestimates the PAT-AHI in clinical use, and the appropriate use of the WSA in clinical practice will require further evaluation. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT04778748.
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Affiliation(s)
- Jack T Jagielski
- Neurology Clinical Research Unit, Mayo Clinic, Rochester, MN, USA
| | - Noor Bibi
- Neurology Clinical Research Unit, Mayo Clinic, Rochester, MN, USA
| | - Peter C Gay
- Center for Sleep Medicine, Mayo Clinic, Rochester, MN, USA
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA
| | - Mithri R Junna
- Center for Sleep Medicine, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Diego Z Carvalho
- Center for Sleep Medicine, Mayo Clinic, Rochester, MN, USA
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Julie A Williams
- Center for Sleep Medicine, Mayo Clinic, Rochester, MN, USA
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA
| | - Timothy I Morgenthaler
- Center for Sleep Medicine, Mayo Clinic, Rochester, MN, USA.
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA.
- Mayo Clinic Center for Sleep Medicine, 200 First Street SW, Rochester, MN, 55905, USA.
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97
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Zhou N, Ho JPTF, Visscher WP, Su N, Lobbezoo F, de Lange J. Maxillomandibular advancement for obstructive sleep apnea: a retrospective prognostic factor study for surgical response. Sleep Breath 2023; 27:1567-1576. [PMID: 36271189 PMCID: PMC10427554 DOI: 10.1007/s11325-022-02731-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 09/21/2022] [Accepted: 10/13/2022] [Indexed: 12/25/2022]
Abstract
PURPOSE To identify potential predictors of surgical response to maxillomandibular advancement (MMA) in patients with obstructive sleep apnea (OSA) from the most common clinically available data (patient-related, polysomnographic, cephalometric, and surgical variables). METHODS This was a retrospective study comprised of consecutive patients who underwent MMA for moderate to severe OSA. Relevant clinical, polysomnographic, cephalometric, and surgical variables were collected as independent variables (predictors). The association of the independent variables with a favorable surgical response to MMA was assessed in univariate and multivariate analyses. RESULTS In 100 patients (82% male; mean age 50.5 years), the mean apnea hypopnea index [AHI] was 53.1 events/h. The rate of favorable surgical response was 67%. Based on multivariate analysis, patients with cardiovascular disease (CVD) had 0.140 times lower odds of a favorable response to MMA (OR: 0.140 [0.038, 0.513], P = 0.003). For each 1-unit increase in central apnea index (CAI) and superior posterior airway space (SPAS), there were 0.828 and 0.724 times lower odds to respond favorably to MMA (OR: 0.828 [0.687, 0.997], P = 0.047; and 0.724 [0.576, 0.910], P = 0.006), respectively. CONCLUSION The findings of this study suggest that the surgical outcome of MMA may be less favorable when patients with OSA have certain phenotypic characteristics: the presence of CVD, higher CAI and larger SPAS. If confirmed in future studies, these variables may guide patient selection for MMA.
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Affiliation(s)
- Ning Zhou
- Amsterdam UMC Location University of Amsterdam, Department of Oral and Maxillofacial Surgery, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
- Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
- Department of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
| | - Jean-Pierre T F Ho
- Amsterdam UMC Location University of Amsterdam, Department of Oral and Maxillofacial Surgery, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands
- Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Oral and Maxillofacial Surgery, Northwest Clinics, Alkmaar, The Netherlands
| | - Wouter P Visscher
- Amsterdam UMC Location University of Amsterdam, Department of Oral and Maxillofacial Surgery, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands
- Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Naichuan Su
- Department of Oral Public Health, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Frank Lobbezoo
- Department of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jan de Lange
- Amsterdam UMC Location University of Amsterdam, Department of Oral and Maxillofacial Surgery, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands
- Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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Targa ADS, Benítez ID, Moncusí-Moix A, Dakterzada F, Minguez O, Vaca R, Dalmases M, Sanchez-de-la-Torre M, Barbé F, Piñol-Ripoll G. Breathing cessation events that compose the apnea-hypopnea index are distinctively associated with the adverse outcomes in Alzheimer's disease. Alzheimers Res Ther 2023; 15:123. [PMID: 37452339 PMCID: PMC10347810 DOI: 10.1186/s13195-023-01266-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 06/29/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Previous studies challenge the impact of obstructive sleep apnea (OSA) once patients are diagnosed with Alzheimer's disease (AD). Nevertheless, OSA recognizably disrupts sleep, and relevant associations between sleep, AD pathological markers, and cognition have been demonstrated. We aimed to further explore this, evaluating the associations between each breathing cessation event that compose the apnea-hypopnea index (AHI) and the sleep structure to finally investigate whether this was related to increased levels of AD markers and higher cognitive decline. METHODS Observational, prospective study, including consecutive patients diagnosed with mild-moderate AD. The participants were submitted to overnight polysomnography followed by a cerebrospinal fluid collection for AD pathological markers levels determination. Neuropsychological assessment was performed at baseline and after 12 months of follow-up. RESULTS The cohort was composed of 116 patients (55.2% females) with a median [p25;p75] age of 76.0 [72.0;80.0] years and an AHI of 25.9 [15.1;48.5], which was mainly defined by the presence of hypopneas and obstructive apneas. These were distinctively associated with the sleep structure, with obstructive apneas being related to arousals and sleep lightening and hypopneas being related to an increased number of arousals only. Despite having a lower frequency, mixed and central apneas also presented associations with the sleep structure, particularly increasing the time spent in the lighter sleep stages. In relation to AD pathological markers, obstructive and mixed apneas were related to an augment in neurofilament light levels while hypopneas were associated with a higher phosphorylated-tau/amyloid-beta protein ratio. Hypopneas were the most important event for an increased cognitive decline at the 12-month follow-up. CONCLUSIONS Our findings highlight the importance of a patient-centered approach, with a comprehensive and detailed analysis of the AHI to effectively predict the different outcomes and tailor the appropriate therapeutic strategies.
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Affiliation(s)
- Adriano D S Targa
- Translational Research in Respiratory Medicine (TRRM), Hospital Universitari Arnau de Vilanova-Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain.
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain.
| | - Iván D Benítez
- Translational Research in Respiratory Medicine (TRRM), Hospital Universitari Arnau de Vilanova-Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Anna Moncusí-Moix
- Translational Research in Respiratory Medicine (TRRM), Hospital Universitari Arnau de Vilanova-Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Farida Dakterzada
- Cognitive Disorders Unit, Clinical Neuroscience Research, Hospital Universitari Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain
| | - Olga Minguez
- Translational Research in Respiratory Medicine (TRRM), Hospital Universitari Arnau de Vilanova-Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Rafaela Vaca
- Translational Research in Respiratory Medicine (TRRM), Hospital Universitari Arnau de Vilanova-Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Mireia Dalmases
- Translational Research in Respiratory Medicine (TRRM), Hospital Universitari Arnau de Vilanova-Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Manuel Sanchez-de-la-Torre
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Precision Medicine in Chronic Diseases, Hospital Universitari Arnau de Vilanova-Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain
| | - Ferran Barbé
- Translational Research in Respiratory Medicine (TRRM), Hospital Universitari Arnau de Vilanova-Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Gerard Piñol-Ripoll
- Cognitive Disorders Unit, Clinical Neuroscience Research, Hospital Universitari Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain.
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99
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Chang JL, Goldberg AN, Alt JA, Alzoubaidi M, Ashbrook L, Auckley D, Ayappa I, Bakhtiar H, Barrera JE, Bartley BL, Billings ME, Boon MS, Bosschieter P, Braverman I, Brodie K, Cabrera-Muffly C, Caesar R, Cahali MB, Cai Y, Cao M, Capasso R, Caples SM, Chahine LM, Chang CP, Chang KW, Chaudhary N, Cheong CSJ, Chowdhuri S, Cistulli PA, Claman D, Collen J, Coughlin KC, Creamer J, Davis EM, Dupuy-McCauley KL, Durr ML, Dutt M, Ali ME, Elkassabany NM, Epstein LJ, Fiala JA, Freedman N, Gill K, Boyd Gillespie M, Golisch L, Gooneratne N, Gottlieb DJ, Green KK, Gulati A, Gurubhagavatula I, Hayward N, Hoff PT, Hoffmann OM, Holfinger SJ, Hsia J, Huntley C, Huoh KC, Huyett P, Inala S, Ishman SL, Jella TK, Jobanputra AM, Johnson AP, Junna MR, Kado JT, Kaffenberger TM, Kapur VK, Kezirian EJ, Khan M, Kirsch DB, Kominsky A, Kryger M, Krystal AD, Kushida CA, Kuzniar TJ, Lam DJ, Lettieri CJ, Lim DC, Lin HC, Liu SY, MacKay SG, Magalang UJ, Malhotra A, Mansukhani MP, Maurer JT, May AM, Mitchell RB, Mokhlesi B, Mullins AE, Nada EM, Naik S, Nokes B, Olson MD, Pack AI, Pang EB, Pang KP, Patil SP, Van de Perck E, Piccirillo JF, Pien GW, Piper AJ, Plawecki A, Quigg M, Ravesloot MJ, Redline S, Rotenberg BW, Ryden A, Sarmiento KF, Sbeih F, Schell AE, Schmickl CN, Schotland HM, Schwab RJ, Seo J, Shah N, Shelgikar AV, Shochat I, Soose RJ, Steele TO, Stephens E, Stepnowsky C, Strohl KP, Sutherland K, Suurna MV, Thaler E, Thapa S, Vanderveken OM, de Vries N, Weaver EM, Weir ID, Wolfe LF, Tucker Woodson B, Won CH, Xu J, Yalamanchi P, Yaremchuk K, Yeghiazarians Y, Yu JL, Zeidler M, Rosen IM. International Consensus Statement on Obstructive Sleep Apnea. Int Forum Allergy Rhinol 2023; 13:1061-1482. [PMID: 36068685 PMCID: PMC10359192 DOI: 10.1002/alr.23079] [Citation(s) in RCA: 62] [Impact Index Per Article: 62.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 08/12/2022] [Accepted: 08/18/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND Evaluation and interpretation of the literature on obstructive sleep apnea (OSA) allows for consolidation and determination of the key factors important for clinical management of the adult OSA patient. Toward this goal, an international collaborative of multidisciplinary experts in sleep apnea evaluation and treatment have produced the International Consensus statement on Obstructive Sleep Apnea (ICS:OSA). METHODS Using previously defined methodology, focal topics in OSA were assigned as literature review (LR), evidence-based review (EBR), or evidence-based review with recommendations (EBR-R) formats. Each topic incorporated the available and relevant evidence which was summarized and graded on study quality. Each topic and section underwent iterative review and the ICS:OSA was created and reviewed by all authors for consensus. RESULTS The ICS:OSA addresses OSA syndrome definitions, pathophysiology, epidemiology, risk factors for disease, screening methods, diagnostic testing types, multiple treatment modalities, and effects of OSA treatment on multiple OSA-associated comorbidities. Specific focus on outcomes with positive airway pressure (PAP) and surgical treatments were evaluated. CONCLUSION This review of the literature consolidates the available knowledge and identifies the limitations of the current evidence on OSA. This effort aims to create a resource for OSA evidence-based practice and identify future research needs. Knowledge gaps and research opportunities include improving the metrics of OSA disease, determining the optimal OSA screening paradigms, developing strategies for PAP adherence and longitudinal care, enhancing selection of PAP alternatives and surgery, understanding health risk outcomes, and translating evidence into individualized approaches to therapy.
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Affiliation(s)
- Jolie L. Chang
- University of California, San Francisco, California, USA
| | | | | | | | - Liza Ashbrook
- University of California, San Francisco, California, USA
| | | | - Indu Ayappa
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | | | | | - Maurits S. Boon
- Sidney Kimmel Medical Center at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Pien Bosschieter
- Academic Centre for Dentistry Amsterdam, Amsterdam, The Netherlands
| | - Itzhak Braverman
- Hillel Yaffe Medical Center, Hadera Technion, Faculty of Medicine, Hadera, Israel
| | - Kara Brodie
- University of California, San Francisco, California, USA
| | | | - Ray Caesar
- Stone Oak Orthodontics, San Antonio, Texas, USA
| | | | - Yi Cai
- University of California, San Francisco, California, USA
| | | | | | | | | | | | | | | | | | - Susmita Chowdhuri
- Wayne State University and John D. Dingell VA Medical Center, Detroit, Michigan, USA
| | - Peter A. Cistulli
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - David Claman
- University of California, San Francisco, California, USA
| | - Jacob Collen
- Uniformed Services University, Bethesda, Maryland, USA
| | | | | | - Eric M. Davis
- University of Virginia, Charlottesville, Virginia, USA
| | | | | | - Mohan Dutt
- University of Michigan, Ann Arbor, Michigan, USA
| | - Mazen El Ali
- University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | | | | | | | - Kirat Gill
- Stanford University, Palo Alto, California, USA
| | | | - Lea Golisch
- University Hospital Mannheim, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | | | | | | | - Arushi Gulati
- University of California, San Francisco, California, USA
| | | | | | - Paul T. Hoff
- University of Michigan, Ann Arbor, Michigan, USA
| | - Oliver M.G. Hoffmann
- University Hospital Mannheim, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | | | - Jennifer Hsia
- University of Minnesota, Minneapolis, Minnesota, USA
| | - Colin Huntley
- Sidney Kimmel Medical Center at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | | | | | - Sanjana Inala
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | | | | | | | | | | | | | | | - Meena Khan
- Ohio State University, Columbus, Ohio, USA
| | | | - Alan Kominsky
- Cleveland Clinic Head and Neck Institute, Cleveland, Ohio, USA
| | - Meir Kryger
- Yale School of Medicine, New Haven, Connecticut, USA
| | | | | | | | - Derek J. Lam
- Oregon Health and Science University, Portland, Oregon, USA
| | | | | | | | | | | | | | - Atul Malhotra
- University of California, San Diego, California, USA
| | | | - Joachim T. Maurer
- University Hospital Mannheim, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | - Anna M. May
- Case Western Reserve University, Cleveland, Ohio, USA
| | - Ron B. Mitchell
- University of Texas, Southwestern and Children’s Medical Center Dallas, Texas, USA
| | | | | | | | | | - Brandon Nokes
- University of California, San Diego, California, USA
| | | | - Allan I. Pack
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | | | | | | | | | | | | | | | - Mark Quigg
- University of Virginia, Charlottesville, Virginia, USA
| | | | - Susan Redline
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Armand Ryden
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California, USA
| | | | - Firas Sbeih
- Cleveland Clinic Head and Neck Institute, Cleveland, Ohio, USA
| | | | | | | | | | - Jiyeon Seo
- University of California, Los Angeles, California, USA
| | - Neomi Shah
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | - Ryan J. Soose
- University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | - Erika Stephens
- University of California, San Francisco, California, USA
| | | | | | | | | | - Erica Thaler
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sritika Thapa
- Yale School of Medicine, New Haven, Connecticut, USA
| | | | - Nico de Vries
- Academic Centre for Dentistry Amsterdam, Amsterdam, The Netherlands
| | | | - Ian D. Weir
- Yale School of Medicine, New Haven, Connecticut, USA
| | | | | | | | - Josie Xu
- University of Toronto, Ontario, Canada
| | | | | | | | | | | | - Ilene M. Rosen
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
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De Chazal P, Sutherland K, Cook K, Bin YS, He S, Cistulli PA. A comparison of cardiovascular disease associations of time-domain oximetry parameters in sleep apnoea cases from the Sleep Heart Health Study. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-4. [PMID: 38083161 DOI: 10.1109/embc40787.2023.10340541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Polysomnograms (PSGs) contain a wealth of physiological information that is routinely recorded but not utilised in sleep studies. Intermittent hypoxia arising from obstructive sleep apnoea (OSA) events is an important risk in the later development of cardiovascular disease (CVD). Analysis of oximetry patterns from PSG studies may enable early assessment of CVD risk. The aim of this study was to compare associations of different time-domain oximetry patterns with incident CVD in OSA patients. All participants with OSA and no pre-existing CVD at baseline or within the first two years of follow-up, were selected from the Sleep Heart Health Study data and used for analysis (N=2878). We examined oximetry parameters that are calculated from desaturation events and from time series analysis and compared them to incident CVD outcomes using proportional hazards regression models adjusted for age, race, smoking, BMI, and sex. Our results show that were no associations between OSA oximetry parameters and incident CVD for OSA patients.
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