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Bailer M, Sprügel MI, Stein EM, Utz J, Mestermann S, Spitzer P, Kornhuber J. Diagnostic accuracy of screening questionnaires for obstructive sleep apnea in psychiatric patients. J Psychiatr Res 2025; 186:280-288. [PMID: 40273811 DOI: 10.1016/j.jpsychires.2025.04.026] [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: 11/24/2024] [Revised: 04/10/2025] [Accepted: 04/14/2025] [Indexed: 04/26/2025]
Abstract
BACKGROUND Obstructive sleep apnea (OSA) is prevalent among psychiatric patients and can exacerbate psychiatric conditions. Screening for OSA in this population is challenging due to overlapping symptoms and adherence issues. This study evaluated the diagnostic accuracy of the STOP-Bang, BOAH, GOAL, NoSAS, and No-Apnea screening questionnaires in psychiatric patients. METHODS In this observational cohort study, consecutive psychiatric patients admitted to a single tertiary care center between June 1, 2016 and December 31, 2022 were screened using the STOP-Bang questionnaire and additional data on parameters of the other questionnaires were collected. Polygraphy was performed using the Somnocheck micro CARDIO® system to record the Apnea-Hypopnea Index (AHI). Diagnostic accuracy was evaluated using receiver operating characteristic (ROC) curve, sensitivity, and specificity analysis. RESULTS Among 128 patients (median age 61.5 [IQR, 52.3-73.0] years; 77 [60.2 %] men), the No-Apnea questionnaire achieved the highest sensitivity for any OSA (AHI ≤5) at 96.00 % (95 % CI, 89.35 %-98.58 %; AUC, 0.68), followed by GOAL at 92.00 % (95 % CI, 83.78 %-96.27 %; AUC, 0.59) and STOP-Bang at 90.67 % (95 % CI, 81.85 %-95.26 %; AUC, 0.66). The specificities of all questionnaires were low, ranging from 15.09 % (STOP-Bang; 95 % CI, 8.35 %-25.90 %) to 50.94 % (BOAH; 95 % CI, 38.65 %-63.13 %). CONCLUSION The STOP-Bang, GOAL, and No-Apnea questionnaires effectively identify psychiatric patients at risk for OSA, though their low specificity underscores the necessity for confirmatory diagnostics, such as polygraphy. The No-Apnea score, which relies only on objective variables, may offer particular benefits in psychiatric settings.
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Affiliation(s)
- Maximilian Bailer
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
| | - Maximilian I Sprügel
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany; Department of Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Eva M Stein
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Janine Utz
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Stefan Mestermann
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Philipp Spitzer
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
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Zhu X, Mao Z, Zheng P, Wang L, Zhang F, Zi G, Liu H, Zhang H, Liu W, Zhou L. The role and research progress of epigenetic modifications in obstructive sleep apnoea-hypopnea syndrome and related complications. Respir Med 2025; 242:108099. [PMID: 40228610 DOI: 10.1016/j.rmed.2025.108099] [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: 12/05/2024] [Revised: 04/10/2025] [Accepted: 04/11/2025] [Indexed: 04/16/2025]
Abstract
Epigenetic modifications are heritable changes in gene expression that do not alter the DNA sequence. Histone modifications, non-coding RNA expression, and DNA methylation are examples of common epigenetic changes. Obstructive sleep apnoea-hypopnea syndrome (OSAHS) is the most common sleep-related breathing disorder, and its incidence is increasing annually, making it a hotspot of clinical research and significantly impacting health and well-being. The main cause of OSAHS is related to complications caused by repeated chronic intermittent hypoxia (CIH). Currently, polysomnography (PSG) and continuous positive airway pressure (CPAP) remain the gold standards for the diagnosis and treatment of OSAHS. However, their limitations-such as time consumption, high cost, and poor patient comfort-contribute to the paradox of high disease prevalence yet low rates of diagnosis and treatment, resulting in a substantial disease burden. In recent years, rapid advances in epigenetics have revealed that biomarkers such as microRNAs (miRNAs), circular RNAs (circRNAs), and other epigenetic modifications hold promise as non-invasive tools for the diagnosis and treatment of OSAHS and its related complications. Although numerous studies have explored epigenetic modifications in other diseases, this study focuses on how epigenetic modifications participate in the process of OSAHS and its related complications, with an aim of elucidating the pathogenesis of OSAHS from an epigenetic perspective and provide new directions for identifying molecular targets for the diagnosis and treatment of OSAHS and related complications.
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Affiliation(s)
- Xiaoyan Zhu
- Department of Respiratory and Critical Care Medicine, National Health Committee (NHC) Key Laboratory of Respiratory Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Zhenyu Mao
- Department of Respiratory and Critical Care Medicine, National Health Committee (NHC) Key Laboratory of Respiratory Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Pengdou Zheng
- Department of Respiratory and Critical Care Medicine, National Health Committee (NHC) Key Laboratory of Respiratory Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Lingling Wang
- Department of Respiratory and Critical Care Medicine, National Health Committee (NHC) Key Laboratory of Respiratory Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Fengqin Zhang
- Department of Respiratory and Critical Care Medicine, National Health Committee (NHC) Key Laboratory of Respiratory Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Guisha Zi
- Department of Respiratory and Critical Care Medicine, National Health Committee (NHC) Key Laboratory of Respiratory Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Huiguo Liu
- Department of Respiratory and Critical Care Medicine, National Health Committee (NHC) Key Laboratory of Respiratory Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Huojun Zhang
- Department of Respiratory and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
| | - Wei Liu
- Department of Geriatrics, Key Laboratory of Vascular Aging, Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, Hubei 430030, China.
| | - Ling Zhou
- Department of Respiratory and Critical Care Medicine, National Health Committee (NHC) Key Laboratory of Respiratory Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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3
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van Doorn S, Idema DL, Heus P, Damen JA, Spijker R, Japenga EJ, Reesink HJ, Hooft L. Clinical utility of limited channel sleep studies versus polysomnography for obstructive sleep apnoea. Cochrane Database Syst Rev 2025; 5:CD013810. [PMID: 40326548 PMCID: PMC12053459 DOI: 10.1002/14651858.cd013810.pub2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/07/2025]
Abstract
BACKGROUND Obstructive sleep apnoea (OSA) is a common cause of sleep disturbance, characterised by the presence of repetitive upper airway obstruction during sleep. OSA is associated with sleepiness during the day, reduced quality of life and an increased risk of cardiovascular disease. OSA can be diagnosed using several different strategies. The current reference test is fully supervised polysomnography, which is expensive and time-consuming. Other diagnostic tests, referred to as limited channel sleep studies because they include fewer parameters than polysomnography, are less resource-intensive but may also have different diagnostic performances, resulting in a difference in clinical outcomes. OBJECTIVES To assess the clinical impact (outcome on a participant level) of a strategy where treatment follows diagnostic testing (test-treatment combination) using limited channel sleep studies compared to polysomnography in people with suspected obstructive sleep apnoea (OSA). SEARCH METHODS We searched two databases (CENTRAL, MEDLINE) up to 11 May 2023 using search terms related to OSA and polysomnography developed by our information specialist. SELECTION CRITERIA We included randomised controlled trials that compared any limited channel sleep studies with Level I fully supervised polysomnography in adults (aged 18 years and older) with suspected OSA. Our primary outcome was sleepiness, and our secondary outcomes were quality of life, all-cause mortality, cardiovascular events and correlating risk factors, continuous positive airway pressure (CPAP) usage, serious adverse events, and cost-effectiveness. DATA COLLECTION AND ANALYSIS Four review authors extracted data from the included trials and assessed the risk of bias. We summarised treatment effects using random-effects meta-analyses and expressed as mean difference (MD) or standardised mean difference (SMD) with corresponding 95% confidence intervals (CI) where possible. We used GRADE to assess the certainty of the evidence. MAIN RESULTS We included three trials with 1143 participants. One trial compared Level III sleep studies to a Level I fully supervised polysomnography, one trial compared Level IV sleep studies to Level I sleep studies, and one trial compared Level IV sleep studies versus Level III sleep studies versus Level I sleep studies. The follow-up of these trials ranged from four to six months. Level III sleep studies versus Level I sleep studies There is high-certainty evidence that Level III sleep studies result in little to no difference in sleepiness (MD 0.47, 95% CI -0.23 to 1.18; P = 0.19, I2 = 0%; 2 trials, 701 participants) or quality of life (SMD 0.01, 95% CI -0.14 to 0.16; P = 0.93, I2 = 0%; 2 trials, 701 participants) compared to Level I sleep studies. Level III sleep studies are also probably slightly more cost-effective (moderate-certainty evidence). There is low-certainty evidence that they may result in little to no difference in cardiovascular events and correlating risk factors, CPAP adherence (MD -0.18 hours per day, 95% CI -0.56 to 0.20; P = 0.36, I2 = 0%; 2 trials, 360 participants) or serious adverse events. Level IV sleep studies versus Level I sleep studies There is low-certainty evidence that Level IV sleep studies may not increase sleepiness compared to Level I sleep studies (MD 0.66, 95% CI -0.41 to 1.72; P = 0.23, I2 = 39%; 2 trials, 573 participants). Additionally, there is low-certainty evidence that they may result in little to no difference in cardiovascular events and correlating risk factors. For quality of life, CPAP adherence, serious adverse events and cost-effectiveness, the evidence is very uncertain. None of the included trials reported on all-cause mortality. AUTHORS' CONCLUSIONS Level III sleep studies may result in little to no difference in clinical outcomes when compared to Level 1 sleep studies in people with suspected OSA. Level IV sleep studies may not increase sleepiness and may result in little to no difference in cardiovascular events and correlating risk factors compared to Level I sleep studies; the evidence was too uncertain to make statements for other outcomes. Overall, the body of evidence was limited, therefore more trials making this comparison are necessary, as are trials with a longer follow-up duration.
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Affiliation(s)
- Sander van Doorn
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Demy L Idema
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Cochrane Netherlands, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Pauline Heus
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Cochrane Netherlands, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Johanna Aag Damen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Cochrane Netherlands, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - René Spijker
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Cochrane Netherlands, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | | | | | - Lotty Hooft
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Cochrane Netherlands, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
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4
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Puyo EM, Carnino JM, Rodriguez Lara F, Levi JR. Funding, Publication Rate and Characteristics of Paediatric Sleep Apnea Clinical Trials: A Cross-Sectional Analysis. Clin Otolaryngol 2025; 50:485-491. [PMID: 39810440 DOI: 10.1111/coa.14280] [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: 02/05/2024] [Revised: 08/23/2024] [Accepted: 01/03/2025] [Indexed: 01/16/2025]
Abstract
OBJECTIVE The objective of this study is to characterise available clinical trial information for paediatric obstructive sleep apnea (OSA) and identify opportunities for future research to better treat children with this condition. METHODS A cross-sectional analysis of paediatric OSA clinical trials was conducted using the International Clinical Trials Registry. Criteria for inclusion included sleep apnea trials with participants < 18 years old and an interventional design. We assessed the information available on the database to identify recent trends in research. We used PubMed to examine publication rate. NIH RePORTER was used to characterise funding patterns for trials conducted in the United States. RESULTS Of 91 trials analysed, 54% of trials were conducted in the United States. The number of paediatric OSA clinical trials has been increasing since 2005. Patients aged 6, 7 and/or 8 were enrolled in 70% of trials, whereas infants under 12 months of age were only represented in approximately 9%. Overall, 31.9% had results reported directly on the registry, while 57% had results published. Median time to trial completion by sponsor for US trials was 3.04 years for NIH-sponsored trials, 1.29 years for industry-sponsored trials, and 1.96 years for non-funded sources. The NIH funded 56% of US trials. CONCLUSION Despite a growing interest in paediatric OSA, continued focus on reporting and publishing results in a timely manner is essential to further advance the care of children with OSA. Future research should aim to address the gaps in age representation and focus on early intervention to treat age groups with higher prevalence.
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Affiliation(s)
- Elizabeth M Puyo
- Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Jonathan M Carnino
- Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Frances Rodriguez Lara
- Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Jessica R Levi
- Department of Otolaryngology - Head and Neck Surgery, Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA
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5
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Yamasawa W, Tanabe A, Asano K, Sato Y, Matsushita H, Fukunaga K. Predicting sleep disordered breathing in middle-aged Japanese office workers: A simple and effective screening tool. Respir Investig 2025; 63:453-458. [PMID: 40203734 DOI: 10.1016/j.resinv.2025.03.014] [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: 10/11/2024] [Revised: 03/17/2025] [Accepted: 03/20/2025] [Indexed: 04/11/2025]
Abstract
BACKGROUND Sleep Disordered Breathing (SDB) is a common yet underdiagnosed condition, as many afflicted individuals are unaware of the condition. It is a major contributor to metabolic syndrome, sudden death, and deteriorating overall health, making early detection crucial, especially in populations such as Japanese office workers in whom symptoms may not be evident. This study aimed to fill the critical gap in SDB detection by investigating its prevalence among Japanese office workers unaware of any SDB symptoms and by and developing a straightforward, effective screening tool that can be integrated into routine health examinations. METHODS A total of 518 male office workers underwent a sleep monitoring test along with a comprehensive questionnaire assessing lifestyle, comorbidities, and sleep quality. Participants were divided into derivation and validation cohorts to develop and test, respectively, an SDB prediction score. RESULTS In this study, 149 (28.7 %) patients had a respiratory disturbance index ≥15 and moderate or severe SDB. The developed prediction model demonstrated a high sensitivity of 91.5 % and a specificity of 49.4 %, making it a powerful tool for early detection of SDB requiring treatment. CONCLUSIONS This study presents a convenient screening tool that could revolutionize SDB detection among Japanese office workers, leading to earlier interventions and potentially reducing the burden of related health complications. This tool holds significant promise for incorporation into standard health examinations, offering a proactive approach to managing SDB.
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Affiliation(s)
- Wakako Yamasawa
- Department of Laboratory Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan; Clinical Laboratory, Keio University Hospital, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan; Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Akiko Tanabe
- Clinical Laboratory, Keio University Hospital, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Koichiro Asano
- Division of Pulmonary Medicine, Department of Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan
| | - Yasunori Sato
- Department of Biostatistics, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Hiromichi Matsushita
- Department of Laboratory Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan; Clinical Laboratory, Keio University Hospital, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Koichi Fukunaga
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
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Ting KH, Lu YT, Lin CW, Lee CY, Huang JY, Hsin CH, Yang SF. The severity of coronary heart disease and the incidence and severity of following obstructive sleep apnea: a population-based cohort study. Sci Rep 2025; 15:12539. [PMID: 40216890 PMCID: PMC11992143 DOI: 10.1038/s41598-025-97516-z] [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: 05/09/2024] [Accepted: 04/04/2025] [Indexed: 04/14/2025] Open
Abstract
Obstructive sleep apnea (OSA) is characterized by pharyngeal collapse, hypoxia, and hypercapnia. However, the impact of coronary heart disease (CHD) severity on OSA development has been rarely explored. This study aimed to evaluate the correlation between CHD severity and OSA incidence. This retrospective cohort study was conducted using the National Health Insurance Research Database (NHIRD). Patients with CHD were categorized into three groups: those with severe CHD who underwent percutaneous coronary intervention (PCI), those with CHD without PCI, and those receiving medical treatment. The primary outcome was the development of OSA at least six months after CHD onset. Cox proportional hazards regression was used to calculate the adjusted hazard ratio (aHR) and 95% confidence interval (CI) for OSA across the different CHD groups. A total of 5,193 and 8,313 OSA events were recorded in the CHD-PCI and CHD groups, respectively. After adjusting for multiple confounders, the incidence of OSA was significantly higher in the CHD-PCI group than in the CHD group (aHR: 1.267, 95% CI: 1.220-1.315, P = 0.0135). Subgroup analyses showed that the association between severe CHD with PCI and OSA was more pronounced in older CHD patients (P < 0.05). The cumulative incidence of both OSA and severe OSA was significantly higher in the CHD-PCI group than in the CHD group (both P < 0.001). Severe CHD requiring PCI is associated with a higher incidence of subsequent OSA compared to mild CHD. This association is particularly significant in patients older than 70 years.
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Affiliation(s)
- Ke-Hsin Ting
- Division of Cardiology, Department of Internal Medicine, Changhua Christian Hospital, Yunlin Branch, Yunlin, Taiwan
- Department of Nursing, Hungkuang University, Taichung, Taiwan
- Institute of Medicine, Chung Shan Medical University, Taichung, 402, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Yen-Ting Lu
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Department of Otolaryngology, Chung Shan Medical University Hospital, Taichung, Taiwan
- Department of Otolaryngology, St. Martin De Porres Hospital, Chiayi, Taiwan
| | - Chiao-Wen Lin
- Institute of Oral Sciences, Chung Shan Medical University, Taichung, Taiwan
| | - Chia-Yi Lee
- Institute of Medicine, Chung Shan Medical University, Taichung, 402, Taiwan
- Department of Ophthalmology, Nobel Eye Institute, Taipei, Taiwan
| | - Jing-Yang Huang
- Institute of Medicine, Chung Shan Medical University, Taichung, 402, Taiwan
- Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Chung-Han Hsin
- Institute of Medicine, Chung Shan Medical University, Taichung, 402, Taiwan.
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan.
- Department of Otolaryngology, Chung Shan Medical University Hospital, Taichung, Taiwan.
| | - Shun-Fa Yang
- Institute of Medicine, Chung Shan Medical University, Taichung, 402, Taiwan.
- Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan.
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Wali SO, Batawi G, Kanbr O, Butt NS, Yasawy MA, Alqaidi D, Alhejaili F, Alshumrani R, Gozal D. Impact of continuous positive airway pressure therapy withdrawal in patients with obstructive sleep apnea: a randomized controlled trial. Sleep Breath 2025; 29:146. [PMID: 40167853 DOI: 10.1007/s11325-025-03309-z] [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: 01/12/2025] [Revised: 03/17/2025] [Accepted: 03/19/2025] [Indexed: 04/02/2025]
Abstract
PURPOSE Continuous positive airway pressure (CPAP) is the gold standard for managing moderate-to-severe obstructive sleep apnea (OSA). However, adherence to CPAP usage remains problematic with many patients either intermittently or permanently discontinuing CPAP use. However, the impact of CPAP therapy discontinuation remains unclear. This study aimed to evaluate the effects of complete and intermittent CPAP withdrawal on clinical and objective relapse of OSA. PATIENTS AND METHODS This randomized study involved patients with moderate-to-severe OSA who were compliant with CPAP therapy. All subjects underwent a CPAP efficacy assessment (CPAP check), followed by 1 month of closely monitored CPAP usage. Subjects were then randomized into two groups: (1) complete CPAP withdrawal (NO-CPAP); (2) intermittent CPAP use (INT-CPAP) (using the device every other day). Clinical relapse was assessed daily and defined as reemergence of any of the OSA symptoms. Weekly home sleep testing was performed to assess OSA relapse objectively, defined as an apnea-hypopnea index (AHI) of > 5. RESULTS A total of 22 patients were included, with 12 subjects assigned to NO-CPAP group and 10 to the INT-CPAP group. Both groups exhibited a rapid recurrence of OSA within 1 week of CPAP discontinuation, with significant increases in AHI, oxygen desaturation index, and time spent with O2 saturation < 90% compared to baseline CPAP-check parameters (p < 0.05). In addition, clinical relapse occurred earlier in ⁓70% of the INT-CPAP group (Median 2.9 days) and 33% in the NO-CPAP group (Median, 3.5 days) (p < 0.05). Age and neck circumference were identified as significant predictors of OSA relapse (p < 0.05). CONCLUSION Discontinuation of CPAP therapy, whether completely or intermittently, leads to rapid OSA relapse, with age and neck circumference being key predictors of OSA relapse. These findings underscore the impact of CPAP withdrawal and the need for continuous CPAP adherence to effectively manage OSA. CLINICAL TRIAL REGISTRATION A full trial protocol can be accessed through: https://clinicaltrials.gov/study/NCT05471765 .
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Affiliation(s)
- Siraj Omar Wali
- Respiratory Section, Department of Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
- Sleep Medicine Research Group, Sleep Medicine and Research Center, King Abdulaziz University Hospital, Jeddah, Saudi Arabia.
| | - Ghadah Batawi
- Sleep Medicine Research Group, Sleep Medicine and Research Center, King Abdulaziz University Hospital, Jeddah, Saudi Arabia
| | - Omar Kanbr
- Sleep Medicine Research Group, Sleep Medicine and Research Center, King Abdulaziz University Hospital, Jeddah, Saudi Arabia
- Faculty of Medicine, Elrazi University, Khartoum, Sudan
| | - Nadeem Shafique Butt
- Department of Family and Community Medicine, Faculty of Medicine Rabigh, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Murad A Yasawy
- Emergency Medicine, King Abdullah University Hospital, Irbid, Jordan
| | - Dalyah Alqaidi
- Sleep Medicine Research Group, Sleep Medicine and Research Center, King Abdulaziz University Hospital, Jeddah, Saudi Arabia
| | - Faris Alhejaili
- Respiratory Section, Department of Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
- Sleep Medicine Research Group, Sleep Medicine and Research Center, King Abdulaziz University Hospital, Jeddah, Saudi Arabia
| | - Ranya Alshumrani
- Sleep Medicine Research Group, Sleep Medicine and Research Center, King Abdulaziz University Hospital, Jeddah, Saudi Arabia
- Respiratory Division, Pediatric Department, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - David Gozal
- Dean of Joan C Edwards School of Medicine, Vice-President for Health Affairs, Marshall University, Huntington, USA
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8
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Saeedi A, Calder AN, Belilos AJ, Spilka R, Nord RS, Dzierzewski JM. Neurocognitive and Psychosocial Outcomes in Older Adults with Obstructive Sleep Apnea Following Hypoglossal Nerve Stimulation. EAR, NOSE & THROAT JOURNAL 2025:1455613251320486. [PMID: 40162991 DOI: 10.1177/01455613251320486] [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: 04/02/2025] Open
Abstract
OBJECTIVES To assess the impact of hypoglossal nerve stimulation (HNS) on neurocognitive, psychological, and sleep outcomes in older adults with obstructive sleep apnea (OSA). METHODS A retrospective analysis of 42 patients aged 50 years and older who underwent HNS for OSA was conducted. Patient-reported outcomes were collected using validated tools, including the Insomnia Severity Index (ISI), PROMIS measures (Sleep-Related Impairment, Cognitive Function, Depression, Anxiety, Anger, Physical Function), Epworth Sleepiness Scale (ESS), Functional Outcomes of Sleep Questionnaire (FOSQ-10), and NIH Toolbox Loneliness survey. Pre- and post-HNS scores were compared using paired t-tests and Wilcoxon tests. RESULTS Significant improvements were observed in apnea-hypopnea index (AHI) (-17.6, P < .0001), ISI (-7.02, P < .0001), ESS (-3.4, P < .0001), and FOSQ (4.05, P < .0001). PROMIS measures showed significant posttreatment improvements in sleep impairment, cognitive function, depression, anxiety, anger, and loneliness (all P < .01). Physical function and pain did not change. CONCLUSION HNS significantly improves sleep characteristics, cognitive function, and psychosocial outcomes in older adults with OSA. Future studies should include larger and more diverse samples with longer follow-up, as well as a control condition.
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Affiliation(s)
- Arman Saeedi
- Department of Otolaryngology-Head and Neck Surgery, Virginia Commonwealth University, Richmond, VA, USA
| | - Alyssa N Calder
- Department of Otolaryngology-Head and Neck Surgery, Virginia Commonwealth University, Richmond, VA, USA
| | - Andrew J Belilos
- School of Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Roberto Spilka
- School of Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Ryan S Nord
- Department of Otolaryngology-Head and Neck Surgery, Virginia Commonwealth University, Richmond, VA, USA
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9
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Poletti V, Battaglia EG, Banfi P, Volpato E. Effectiveness of continuous positive airway pressure therapy on romantic relationships and intimacy among individuals with obstructive sleep apnea: A systematic review and a meta-analysis. J Sleep Res 2025; 34:e14262. [PMID: 38925562 PMCID: PMC11744250 DOI: 10.1111/jsr.14262] [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: 03/04/2024] [Revised: 05/18/2024] [Accepted: 05/27/2024] [Indexed: 06/28/2024]
Abstract
Obstructive sleep apnea is a common yet often overlooked chronic sleep disorder with significant health implications globally. Bedpartners play a vital role in motivating individuals with obstructive sleep apnea to seek medical help, though their sleep quality may suffer, straining the couple's relationship. From September 2023 to January 2024, utilizing PubMed, Scopus, BioMed Central, Cochrane Library, ScienceDirect and www.clinicaltrials.gov databases, this systematic review meticulously examined data from 27 studies to investigate how continuous positive airway pressure therapy, recognized as the gold-standard for treating obstructive sleep apnea, may positively influence psychological dynamics within couples. Additionally, a meta-analysis was conducted on nine studies, to assess the effect of continuous positive airway pressure on erectile function, which is often compromised in patients with obstructive sleep apnea. The PRISMA checklist and specific quality assessments were followed to ensure methodological rigour and transparency. Findings reveal positive changes in conflict resolution for patients with obstructive sleep apnea post- continuous positive airway pressure adaptation (p < 0.05). Emotional functioning (p = 0.002) and social relationships (p < 0.001) also show improvements in bedpartners. While six subjective assessments indicate enhancements in sexual quality of life for patients with obstructive sleep apnea, challenges related to continuous positive airway pressure use as a barrier to intimacy are acknowledged. Focusing on male patients with obstructive sleep apnea, findings demonstrated a substantial improvement in erectile function post-continuous positive airway pressure utilization, with a Z-score of 4.84 (p < 0.00001). Female patients with obstructive sleep apnea using continuous positive airway pressure show no significant improvements in sexual functioning, while female bedpartners report positive changes. These insights emphasize the importance of holistic approaches in addressing the impact of obstructive sleep apnea on both individuals and their relationships.
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Affiliation(s)
- Valentina Poletti
- Department of PsychologyUniversità Cattolica del Sacro CuoreMilanItaly
- IRCCS Fondazione Don Carlo GnocchiMilanItaly
| | - Elvia Giovanna Battaglia
- IRCCS Fondazione Don Carlo GnocchiMilanItaly
- Sleep Centre, IRCCS Fondazione Don Carlo GnocchiMilanItaly
| | - Paolo Banfi
- IRCCS Fondazione Don Carlo GnocchiMilanItaly
| | - Eleonora Volpato
- Department of PsychologyUniversità Cattolica del Sacro CuoreMilanItaly
- IRCCS Fondazione Don Carlo GnocchiMilanItaly
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10
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Luo X, Li S, Wu Q, Xu Y, Fang R, Cheng Y, Zhang B. Depressive, anxiety, and sleep disturbance symptoms in patients with obstructive sleep apnea: a network analysis perspective. BMC Psychiatry 2025; 25:77. [PMID: 39875912 PMCID: PMC11773896 DOI: 10.1186/s12888-025-06532-w] [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: 06/03/2024] [Accepted: 01/23/2025] [Indexed: 01/30/2025] Open
Abstract
BACKGROUND Patients with obstructive sleep apnea (OSA) frequently experience sleep disturbance and psychological distress, such as depression and anxiety, which may have a negative impact on their health status and functional abilities. To gain a more comprehensive understanding of the symptoms of depression, anxiety, and sleep disturbance in patients with OSA, the current study utilized network analysis to examine the interconnections among these symptoms. METHODS Depressive and anxiety symptoms were evaluated using the Hospital Anxiety and Depression Scale (HADS), and sleep disturbance symptoms were evaluated using the Pittsburgh Sleep Quality Index (PSQI). A total of 621 patients with OSA completed the questionnaires. The indices 'Expected influence' and 'Bridge expected influence' were used as centrality measures in the symptom network. The Least Absolute Shrinkage and Selection Operator (LASSO) technique and the Extended Bayesian Information Criterion (EBIC) were utilized to estimate the network structure of depressive, anxiety, and sleep disturbance symptoms. A Network Comparison Test (NCT) was performed to evaluate the differences between the mild to moderate OSA and severe OSA networks. RESULTS Network analysis revealed that A6 ("Getting sudden feelings of panic") had the highest expected influence value and D6 ("Feeling being slowed down") had the highest bridge expected influence values in the networks. The NCT results revealed that the edge weights significantly differed between patients with mild to moderate OSA and those with severe OSA (M = 0.263, p = 0.008). There was no significant difference in global strength variation between the two networks (S = 0.185, p = 0.773). CONCLUSIONS Our results suggest that the highest expected influence value and bridge symptoms (e.g., A6 and D6) can be prioritized as potential targets for intervention and treatment in patients with OSA.
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Affiliation(s)
- Xue Luo
- Department of Psychiatry Sleep Medical Center, Nanfang Hospital Southern Medical University, No. 1838 North Guangzhou Avenue, Guangzhou, 510515, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China
| | - Shuangyan Li
- Department of Psychiatry Sleep Medical Center, Nanfang Hospital Southern Medical University, No. 1838 North Guangzhou Avenue, Guangzhou, 510515, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China
| | - Qianyun Wu
- Department of Psychiatry Sleep Medical Center, Nanfang Hospital Southern Medical University, No. 1838 North Guangzhou Avenue, Guangzhou, 510515, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China
| | - Yan Xu
- Department of Psychiatry Sleep Medical Center, Nanfang Hospital Southern Medical University, No. 1838 North Guangzhou Avenue, Guangzhou, 510515, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China
| | - Ruichen Fang
- Department of Psychiatry Sleep Medical Center, Nanfang Hospital Southern Medical University, No. 1838 North Guangzhou Avenue, Guangzhou, 510515, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China
| | - Yihong Cheng
- Department of Psychiatry Sleep Medical Center, Nanfang Hospital Southern Medical University, No. 1838 North Guangzhou Avenue, Guangzhou, 510515, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China
| | - Bin Zhang
- Department of Psychiatry Sleep Medical Center, Nanfang Hospital Southern Medical University, No. 1838 North Guangzhou Avenue, Guangzhou, 510515, China.
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China.
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11
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Kumari K, Khalaf J, Sawan LJ, Ho WL, Murugan CK, Gupta A, Devani A, Rizwan M, Kaku R, Muzammil MA, Nageeta F. CPAP Therapy for OSA and Its Impact on Various Cardiovascular Disorders. Cardiol Rev 2025:00045415-990000000-00401. [PMID: 39807867 DOI: 10.1097/crd.0000000000000843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2025]
Abstract
Obstructive sleep apnea (OSA), a highly prevalent and serious disorder with significant complications, causes considerable daytime and nighttime symptoms as well as long-term consequences and is yet an underdiagnosed and inadequately treated condition. Patients with OSA undergo frequent awakenings during the sleep cycle and find it impossible to get restorative sleep. Individuals are extremely fatigued, sleepy, and irritable throughout the day. Reduced exercise performance and physical activity contribute to a decrease in energy metabolism and weight gain. Those in this population may experience decreased motivation, which could result in depressive symptoms. The abrupt drops in oxygen levels during the sleep cycle result in profound spikes in blood pressure and strain the cardiovascular system. Given its close tie with major cardiovascular risk factors, OSA is linked with various cardiovascular diseases, including coronary artery disease, cardiac arrhythmia, poorly controlled blood pressure, heart failure, and stroke. Continuous positive airway pressure is an effective and tried-trusted approach for symptom relief and improving quality of life. Despite its benefits, patients struggle with compliance and often go untreated because of physical discomfort and perceived inconvenience of using these machines. One other explanation for this could be the lack of awareness, comprehensive data, and extensive research on its effects on long-term cardiovascular and metabolic complications caused by OSA. The current standard treatment for OSA, using adequate positive airway pressure, greatly reduces cardiovascular morbidity. Nevertheless, patients with cardiovascular disorders continue to be highly susceptible to OSA and its detrimental clinical consequences, even with effective therapy available. In summary, continuous positive airway pressure has an indirect potential to affect cardiovascular outcomes, but further studies should be done to address issues with patient compliance and adherence.
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Affiliation(s)
- Kajol Kumari
- From the Ghulam Muhammad Mahar Medical College, Sukkur, Pakistan
| | - Joud Khalaf
- An-Najah National University, Nablus, Palestine
| | | | - Wing Lam Ho
- St. George's university school of medicine, West Indies, Grenada
| | | | - Archit Gupta
- Muzaffarnagar Medical College, Muzaffarnagar, India
| | - Aarfa Devani
- Malla Reddy institute of medical sciences, Hyderabad, India
| | | | - Rohini Kaku
- I.K Akunbaev Kyrgyz State Medical Academy, Bishkek, Kyrgyzstan
| | | | - Fnu Nageeta
- Ghulam Muhammad Mahar Medical College, Sukkur, Pakistan
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12
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Mao Y, Li Q, Zou X, Zhong Z, Ouyang Q, Gan C, Yi F, Luo Y, Cheng Z, Yao D. Effects of Continuous Positive Airway Pressure Treatment on Sawtooth Waves During Rapid Eye Movement Sleep in Obstructive Sleep Apnea Patients. Nat Sci Sleep 2024; 16:2111-2124. [PMID: 39712880 PMCID: PMC11662678 DOI: 10.2147/nss.s489288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2024] [Accepted: 11/22/2024] [Indexed: 12/24/2024] Open
Abstract
Background Obstructive sleep apnea (OSA) is the most common sleep-related breathing disorder characterized by recurrent upper airway collapse and obstruction, leading to reduced or absent breathing during sleep, especially rapid eye movement (REM) sleep, and continuous positive airway pressure treatment (CPAP) is often used for treatment of OSA. Sawtooth waves (STWs) are a characteristic of REM sleep. Objective To examine effects of CPAP treatment on STWs during REM sleep in the OSA patients. Methods Polysomnographic recordings were performed on 20 moderate-to-severe OSA patients and 16 normal controls, and comparisons of STWs during REM sleep in the OSA patients with and without CPAP treatment (paired t-test or Wilcoxon signed-rank test wherever appropriate), and between OSA patients and normal controls (Student's t-test or Wilcoxon rank-sum test) were carried out. In addition, linear correlation analyses were used to estimate the relationship of STWs and REM sleep with duration of non-REM (NREM) sleep stage 3 (N3). Results The STWs were classified to be apnea/hypopnea associated and not associated (isolated), and the amplitude of the isolated STWs was significantly higher than that of the apnea/hypopnea associated. With CPAP treatment, the percentage of REM sleep with STWs and the amplitude of STWs were significantly increased to the levels, which were not significantly different from those in the normal controls, while the frequency of STWs was not significantly changed. In addition, the total duration of REM sleep and the duration of REM sleep with STWs were both positively correlated with the duration of N3 sleep in the normal controls and the OSA patients with CPAP treatment. Furthermore, CPAP treatment also caused a significant increase in the duration of rapid eye movements in REM sleep. Conclusion These findings suggest that there are some interconnections between NREM and REM sleep, and STWs not only represent the quality of REM sleep but also are correlated with N3 sleep.
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Affiliation(s)
- Yuhao Mao
- Neurological Institute of Jiangxi Province and Department of Neurology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, and Xiangya Hospital of Central South University at Jiangxi, Nanchang, Jiangxi, People’s Republic of China
- Queen Mary College, Nanchang University, Jiangxi, People’s Republic of China
| | - Qi Li
- Neurological Institute of Jiangxi Province and Department of Neurology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, and Xiangya Hospital of Central South University at Jiangxi, Nanchang, Jiangxi, People’s Republic of China
| | - Xueliang Zou
- Jiangxi Mental Hospital, Nanchang University, Jiangxi, People’s Republic of China
| | - Zhijun Zhong
- Neurological Institute of Jiangxi Province and Department of Neurology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, and Xiangya Hospital of Central South University at Jiangxi, Nanchang, Jiangxi, People’s Republic of China
| | - Qian Ouyang
- Neurological Institute of Jiangxi Province and Department of Neurology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, and Xiangya Hospital of Central South University at Jiangxi, Nanchang, Jiangxi, People’s Republic of China
| | - Chunmei Gan
- Neurological Institute of Jiangxi Province and Department of Neurology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, and Xiangya Hospital of Central South University at Jiangxi, Nanchang, Jiangxi, People’s Republic of China
| | - Fang Yi
- Neurological Institute of Jiangxi Province and Department of Neurology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, and Xiangya Hospital of Central South University at Jiangxi, Nanchang, Jiangxi, People’s Republic of China
| | - Yaxing Luo
- Neurological Institute of Jiangxi Province and Department of Neurology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, and Xiangya Hospital of Central South University at Jiangxi, Nanchang, Jiangxi, People’s Republic of China
| | - Zilin Cheng
- Neurological Institute of Jiangxi Province and Department of Neurology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, and Xiangya Hospital of Central South University at Jiangxi, Nanchang, Jiangxi, People’s Republic of China
- Queen Mary College, Nanchang University, Jiangxi, People’s Republic of China
| | - Dongyuan Yao
- Neurological Institute of Jiangxi Province and Department of Neurology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, and Xiangya Hospital of Central South University at Jiangxi, Nanchang, Jiangxi, People’s Republic of China
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13
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Lin CW, Lin PW, Chiu LW, Su MC, Chai HT, Chang CT, Friedman M, Salapatas AM, Lin HC. Effects of multilevel OSA surgery on patients with poor cardiopulmonary performance: A prospective pilot study. Auris Nasus Larynx 2024; 51:1042-1047. [PMID: 39467476 DOI: 10.1016/j.anl.2024.10.005] [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: 06/06/2024] [Revised: 08/17/2024] [Accepted: 10/09/2024] [Indexed: 10/30/2024]
Abstract
OBJECTIVE Multilevel airway surgery for obstructive sleep apnea/hypopnea syndrome (OSA) has benefits in improving sleep quality, but its effect on polysomnography (PSG) and 6-minute walk test (6MWT) parameters, including walking distance and cardiopulmonary performance, in patients with poor pre-operative cardiopulmonary performance remains understudied, which should be further investigated. METHODS This prospective pilot study enrolled 27 consecutive OSA patients with poor pre-operative 6MWT results. All patients received multilevel OSA surgery, and the alterations of sleep parameters and 6MWT profiles were studied. The pre- and post-operative values of polysomnographic data and 6MWT profiles were analyzed using the Wilcoxon signed-rank tests. The relationships among changes of the indices of PSG and 6MWT were further investigated with the Spearman's correlations. RESULTS After surgery, the sleep parameters and certain cardiopulmonary indices improved. When analyzing the correlations among changes of the indices of PSG and 6MWT, the improvement of daytime sleepiness (with ESS) was found related to farther walking distance (ρ=-0.414, p = 0.032) and higher percentage of "distance/target distance" (ρ=-0.435, p = 0.023). Moreover, the change of maximal expiratory pressure was the only index associated with the changes of AHI (apnea/hypopnea index, /hr.; ρ=-0.407, p = 0.035) and AHI in REM (ρ=-0.502, p = 0.009) among the cardiopulmonary performance parameters. CONCLUSION This pilot study showed that OSA patients with poor pre-operative cardiopulmonary status undergoing multilevel sleep surgery could experience improvement in the sleep study and 6MWT to some extent. The relatively better walking distance and cardiopulmonary performance after the operation might potentially result from the improvement of daytime sleepiness and better respiration.
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Affiliation(s)
- Chung-Wei Lin
- Department of Otolaryngology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Pei-Wen Lin
- Department of Ophthalmology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan; College of Medicine, Chang Gung University, Taoyuan and Kaohsiung, Taiwan; Sleep Center, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan; School of Medicine and Institute of Biomedical Sciences, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Li-Wen Chiu
- Department of Ophthalmology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Mao-Chang Su
- College of Medicine, Chang Gung University, Taoyuan and Kaohsiung, Taiwan; Sleep Center, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Han-Tan Chai
- College of Medicine, Chang Gung University, Taoyuan and Kaohsiung, Taiwan; Division of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Chun-Tuan Chang
- Department of Business Management, Institute of Healthcare Management, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Michael Friedman
- Department of Otolaryngology, Division of Sleep Surgery, Rush University Medical Center, Chicago, IL, USA; Department of Otolaryngology, Advanced Center for Specialty Care, Advocate Illinois Masonic Medical Center, Chicago, IL, USA
| | - Anna M Salapatas
- Department of Otolaryngology, Advanced Center for Specialty Care, Advocate Illinois Masonic Medical Center, Chicago, IL, USA
| | - Hsin-Ching Lin
- Department of Otolaryngology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan; College of Medicine, Chang Gung University, Taoyuan and Kaohsiung, Taiwan; Sleep Center, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan; School of Medicine and Institute of Biomedical Sciences, National Sun Yat-sen University, Kaohsiung, Taiwan; Department of Business Management, Institute of Healthcare Management, National Sun Yat-sen University, Kaohsiung, Taiwan; Robotic Surgery Center and Center for Quality Management, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
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14
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Iannella G, Pace A, Magliulo G, Vicini C, Lugo R, Vanderveken OM, de Vries N, Pang K, Thuler E, Jacobowitz O, Cahali MB, Maurer JT, Casale M, Moffa A, Salamanca F, Leone F, Olszewska E, Reina CO, Zancanella E, Hoff PT, Baptista P, Bahgat AY, Ravesloot MJL, van Maanen P, Goldberg A, Carrasco M, Agrawal VK, Lechien JR, De Vito A, Cammaroto G, De Virgilio A, Greco A, Mancini P, Perrone T, Amado S, Alkan U, Cheong RCT, D'Ecclesia A, Galantai D, RajuAnand A, Calvo-Henriquez C, Cocuzza S, Arigliani M, Saibene AM, Aragona RM, Maniaci A. International expert consensus statement: surgical failure in obstructive sleep apnea. Sleep Breath 2024; 28:2601-2616. [PMID: 39307877 PMCID: PMC11567991 DOI: 10.1007/s11325-024-03162-6] [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: 05/27/2024] [Revised: 08/26/2024] [Accepted: 09/06/2024] [Indexed: 11/16/2024]
Abstract
PURPOSE Upper airway (UA) surgery is commonly employed in the treatment of patients with obstructive sleep apnea (OSA). The intricate pathophysiology of OSA, variability in sites and patterns of UA collapse, and the interaction between anatomical and non-anatomical factors in individual patients may contribute to possible surgical failures. This clinical consensus statement aims to identify areas of agreement among a development group comprising international experts in OSA surgery, regarding the appropriate definition, predictive factors in patients, and management of surgical failure in OSA treatment. METHODS A clinical consensus statement (CCS) was developed using the Delphi method by a panel of 35 contributors from various countries. A systematic literature review adhering to PRISMA guidelines was conducted. A survey consisting of 60 statements was then formulated and presented to the experts. RESULTS Following two rounds of the Delphi process, consensus or strong consensus was achieved on 36 items, while 24 items remained without consensus. Specifically, 5 out of 10 statements reached consensus regarding on the 'Definition of Surgical Success/Failure after OSA Surgery'. Regarding the 'Predictive Factors of Surgical Failure in OSA Surgery', consensus was reached on 10 out of 13 statements. In the context of the 'Diagnostic Workup in OSA Surgery', consensus was achieved on 9 out of 13 statements. Lastly, in 'Treatment in Surgical Failure Cases', consensus was reached on 12 out of 24 statements. CONCLUSION The management of OSA after surgical failure presents a significant clinical challenge for sleep specialists. This CCS provides valuable guidance for defining, preventing, and addressing surgical failures in the treatment of OSA syndrome.
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Affiliation(s)
- Giannicola Iannella
- Department of 'Organi Di Senso', University "Sapienza", Viale Università 33, 00185, Rome, Italy.
| | - Annalisa Pace
- Department of 'Organi Di Senso', University "Sapienza", Viale Università 33, 00185, Rome, Italy
| | - Giuseppe Magliulo
- Department of 'Organi Di Senso', University "Sapienza", Viale Università 33, 00185, Rome, Italy
| | - Claudio Vicini
- Department ENT & Audiology, University of Ferrara, Ferrara, Italy
| | - Rodolfo Lugo
- Department of Otorhinolaryngology, Grupo Medico San Pedro, 64660, Monterrey, Mexico
| | - Olivier M Vanderveken
- Faculty of Medicine and Health Sciences, Translational Neurosciences, University of Antwerp, Antwerp, Belgium
- Department of ENT, Head and Neck Surgery, Antwerp University Hospital, Edegem, Belgium
- Multidisciplinary Sleep Disorders Centre, Antwerp University Hospital, Edegem, Belgium
| | - Nico de Vries
- Department of Orofacial Pain and Dysfunction, Academic Center for Dentistry Amsterdam (ACTA), University of Amsterdam, Amsterdam, The Netherlands
| | | | - Eric Thuler
- Division of Sleep Surgery, Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Ofer Jacobowitz
- Sleep Department, ENT and Allergy Associates, New York, NY, USA
| | - Michel Burihan Cahali
- Departamento de Otorrinolaringologia, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo, SP, Brazil
| | - Joachim T Maurer
- Division of Sleep Medicine, Department of Otorhinolaryngology, University Hospital Mannheim, Mannheim, Germany
| | - Manuele Casale
- Integrated Therapies in Otolaryngology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128, Rome, Italy
| | - Antonio Moffa
- Integrated Therapies in Otolaryngology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128, Rome, Italy
| | | | - Federico Leone
- Otorhinolaryngology Unit, San Pio X Hospital, 20159, Milan, Italy
| | - Ewa Olszewska
- Department of Otolaryngology, Sleep Apnea Surgery Center, Medical University of Bialystok, 15-276, Bialystok, Poland
| | | | | | - Paul T Hoff
- Department of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Peter Baptista
- Otorhinolaryngology Department, Clínica Universitaria de Navarra, Pamplona, Spain
| | - Ahmed Yassin Bahgat
- Department of Otorhinolaryngology-Head & Neck Surgery, Alexandria University, Alexandria, 5424041, Egypt
| | - Madeline J L Ravesloot
- Department of Otorhinolaryngology-Head and Neck Surgery, OLVG, Amsterdam, The Netherlands
| | - Peter van Maanen
- Division of Rhinology and Sinus Surgery, Department of Otolaryngology, Head and Neck Surgery, University of California, 2233 Post Street, Room 309, San Francisco, CA, 94115-1225, USA
| | - Andrew Goldberg
- Department of Otorhinolaryngology, Doctor Peset University Hospital, Valencia, Spain
| | - Marina Carrasco
- Department of Otorhinolaryngology, Doctor Peset University Hospital, Valencia, Spain
| | - Vikas K Agrawal
- Speciality ENT Hospital, Thakur Complex, Kandivali (E), Mumbai, Maharashtra, 400101, India
| | - Jerome R Lechien
- Division of Laryngology and Broncho-Esophagology, Department of Otolaryngology-Head Neck Surgery, EpiCURA Hospital, UMONS Research Institute for Health Sciences and Technology, University of Mons (UMons), Mons, Belgium
| | - Andrea De Vito
- Department of Otolaryngology-Head and Neck Surgery, Forli Hospital, Forli, Italy
| | - Giovanni Cammaroto
- Department of Otolaryngology-Head and Neck Surgery, Forli Hospital, Forli, Italy
| | - Armando De Virgilio
- Department of 'Organi Di Senso', University "Sapienza", Viale Università 33, 00185, Rome, Italy
| | - Antonio Greco
- Department of 'Organi Di Senso', University "Sapienza", Viale Università 33, 00185, Rome, Italy
| | - Patrizia Mancini
- Department of 'Organi Di Senso', University "Sapienza", Viale Università 33, 00185, Rome, Italy
| | - Tiziano Perrone
- Otorhinolaryngology Unit, Civil Hospital of Alghero, Alghero, Italy
| | - Steve Amado
- Maple Respiratory, Universidad del Rosario, Bogotá, Colombia
| | - Uri Alkan
- Department of Otolaryngology Head and Neck Surgery, Rabin Medical Center, Petah Tikva, Israel
| | - Ryan Chin Taw Cheong
- Royal National ENT and Eastman Dental Hospitals, University College London Hospitals NHS, London, UK
| | | | - Dorina Galantai
- Department of Otorhinolaryngology, Head and Neck Surgery, Bajcsy-Zsilinszky Hospital, Budapest, Hungary
| | | | - Christian Calvo-Henriquez
- Rhinology and Sleep Apnea Unit, Otolaryngology Department, Hospital Complex of Santiago de Compostela, Santiago de Compostela, Spain
| | - Salvatore Cocuzza
- Deparment of Medical, Surgical Sciences and Advanced Technologies G.F. Ingrassia, University of Catania, 95123, Catania, Italy
| | | | - Alberto Maria Saibene
- Otolaryngology Unit, Santi Paolo E Carlo Hospital, Department of Health Sciences, Università Degli Studi Di Milano, Milan, Italy
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15
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Kneeland E, Ali N, Maislin DG, Chang YH, Epelboim J, Keenan BT, Pack AI. Achieving adherence to positive airway pressure in commercial drivers using an employer-mandated remote management programme. ERJ Open Res 2024; 10:00132-2024. [PMID: 39624375 PMCID: PMC11610067 DOI: 10.1183/23120541.00132-2024] [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: 02/08/2024] [Accepted: 06/13/2024] [Indexed: 12/09/2024] Open
Abstract
Background Obstructive sleep apnoea (OSA) is common in commercial drivers, and associated with increased risk of crashes if untreated, making diagnosis and effective treatment crucial in this population. Study design and methods This is a retrospective summary of a clinical programme based on telemedicine and remote treatment monitoring developed with a national trucking company to screen new hires in the USA for OSA and implement positive airway pressure (PAP) management. New hires were informed of the programme and consented as part of their employment. Drivers who did not comply with the evaluation or with PAP after diagnosis were removed from driving commercial vehicles by the company or did not pursue further employment. Results A total of 975 drivers were enrolled. Among screened drivers, 35.5% were cleared without a sleep study, 15.0% were cleared following a sleep study (apnoea-hypopnoea index (AHI) <5 events·h-1), 22.1% had mild OSA (AHI 5-15) and 27.4% had moderate-severe OSA (AHI ≥15). Those with moderate-severe OSA were more obese (body mass index 36.2±6.3 kg·m-2) and had more comorbidities. Of 269 drivers starting PAP, 160 (59.5%) maintained participation in a care management programme, 80 (29.7%) resigned or were terminated, 23 (8.6%) were cleared to discontinue PAP and six (2.2%) were complex cases requiring transfer of care. Illustrating effectiveness, those that maintained participation had excellent PAP adherence (5.27±1.61 h·night-1; 88.5±12.9% days used; 79.7±17.7% days used ≥4 h). Interpretation Remote assessment of OSA and PAP management in commercial drivers is feasible and effective. This approach has wide-ranging applications, particularly in populations and areas with a lack of sleep medicine providers.
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Affiliation(s)
- Elizabeth Kneeland
- Kneeland Consulting, Philadelphia, PA, USA
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- These authors contributed equally
| | - Nadia Ali
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- These authors contributed equally
| | - David G. Maislin
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Yoon Hee Chang
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- EvergreenHealth Sleep Disorders Center, Kirkland, WA, USA
| | - Joyce Epelboim
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Brendan T. Keenan
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Allan I. Pack
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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16
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Feng G, Zhuge P, Zhang Z, Ma J. The impact of continuous positive airway pressure therapy on cardiovascular events in patients with obstructive sleep apnoea: an updated systematic review and meta-analysis. Sleep Breath 2024; 28:2095-2105. [PMID: 39083193 DOI: 10.1007/s11325-024-03107-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 06/20/2024] [Accepted: 07/05/2024] [Indexed: 10/04/2024]
Abstract
OBJECTIVE Obstructive sleep apnoea (OSA) is positively associated with cardiovascular diseases, and continuous positive airway pressure (CPAP) is a common treatment for such patients. This study aimed to explore the impact of CPAP on cardiovascular outcomes and prognosis in patients with OSA. METHODS A search was conducted in the PubMed, Embase and CENTRAL databases for relevant studies published up to March 2024. Two independent reviewers screened the studies based on inclusion and exclusion criteria, and data were synthesised using RevMan 5.3 software. Heterogeneity was assessed using the Cochran Q test and the I2 statistic. RESULTS A total of 10 randomised controlled trials and 3 observational studies, comprising 13,832 patients, were included. Compared with standard treatment, the use of CPAP did not significantly reduce the risk of major adverse cardiovascular events (MACE) (risk ratio [RR]: 0.73, 95% confidence interval [CI]: 0.52-1.03; p = 0.07; I2 = 66%), all-cause mortality (RR: 0.92, 95% CI: 0.72-1.16; p = 0.48; I2 = 0%), cardiovascular mortality (RR: 0.63, 95% CI: 0.33-1.19; p = 0.15; I2 = 70%) or non-cardiovascular mortality (RR: 0.81, 95% CI: 0.57-1.15; p = 0.23; I2 = 0%). Similarly, there were no significant differences in the incidence of myocardial infarction, stroke, hospitalisation due to unstable angina or heart failure or atrial fibrillation among those using CPAP. However, when CPAP adherence was ≥ 4 h, CPAP significantly reduced the risk of MACE and cardiovascular mortality. CONCLUSION Although CPAP's cardiovascular benefits in patients with OSA are not confirmed, it may be that bias risks, CPAP adherence and characteristics of the study population may attenuate the perceived benefits of CPAP. Further research is needed to optimise CPAP therapy.
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Affiliation(s)
- Guofei Feng
- Department of ENT, Jinhua Central Hospital, No. 365, East Renmin Road, Jinhua, 321000, Zhejiang, China.
| | - Pan Zhuge
- Department of ENT, Jinhua Central Hospital, No. 365, East Renmin Road, Jinhua, 321000, Zhejiang, China
| | - Zhifeng Zhang
- Department of ENT, Jinhua Central Hospital, No. 365, East Renmin Road, Jinhua, 321000, Zhejiang, China
| | - Junxiang Ma
- Department of ENT, Jinhua Central Hospital, No. 365, East Renmin Road, Jinhua, 321000, Zhejiang, China
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17
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Bailer M, Stein EM, Sprügel MI, Mestermann S, Spitzer P, Utz J, Zirlik S, Fuchs FS, Kornhuber J. Portable polygraphic device (Somnocheck micro CARDIO ®) provides accurate diagnostic information in psychiatric patients at risk for obstructive sleep apnoea: an observational cohort study. BMC Psychiatry 2024; 24:607. [PMID: 39256715 PMCID: PMC11389046 DOI: 10.1186/s12888-024-06049-8] [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: 06/05/2024] [Accepted: 08/26/2024] [Indexed: 09/12/2024] Open
Abstract
BACKGROUND Symptoms of obstructive sleep apnoea (OSA) overlap significantly with those of psychiatric disorders, making accurate diagnosis of OSA challenging within psychiatric settings. Diagnosing OSA in psychiatric patients is crucial because untreated OSA can exacerbate psychiatric symptoms, reduce treatment efficacy, and impair overall quality of life. This study aimed to determine the diagnostic accuracy of a readily accessible procedure for psychiatric patients in a real-world clinical setting by comparing the Somnocheck micro CARDIO® (SCm) portable cardiorespiratory polygraphy device with the gold standard polysomnography (PSG). METHODS This observational cohort study included consecutive psychiatric patients at intermediate to high risk for OSA based on screening with the STOP-Bang questionnaire, admitted to a single tertiary care centre between June 1, 2016 and December 31, 2022. The Apnoea-Hypopnoea-Index (AHI), Apnoea-Index (AI), Oxygen-Desaturation-Index (ODI), and minimum oxygen saturation were measured sequentially by SCm and PSG. RESULTS A total of 57 patients were analysed (median age 62.0 [Interquartile Range (IQR), 51.5-72.5] years; 34 [59.6%] men). Regarding AHI, no significant differences (AHI measured by PSG, median, 16.6 [IQR, 6.2-26.7] vs. AHI measured by SCm, median, 14.9 [IQR, 10.0-22.8]; p = 0.812; r = 0.71) were found between SCm and PSG. AI, ODI and minimum oxygen saturation differed significantly between SCm and PSG. Using optimised cut-off values (any OSA: AHISCm ≥ 9.25), SCm showed high sensitivity (0.894) and high specificity (0.800) for the diagnosis of OSA, with an area under the receiver operating characteristic curve of 0.877. CONCLUSIONS This study found that the SCm portable device was accurate in identifying psychiatric patients with OSA. AHI measurement by SCm provided reliable diagnostic performance in comparison with the gold standard polysomnography. These findings support the integration of polygraphic measurements into the routine sleep assessment of psychiatric patients. Early and accurate diagnosis of OSA in this population can significantly improve the management of both sleep disorders and psychiatric conditions, potentially enhancing overall treatment outcomes and quality of life for these patients.
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Affiliation(s)
- Maximilian Bailer
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany.
| | - Eva M Stein
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - Maximilian I Sprügel
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany
- Department of Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Stefan Mestermann
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - Philipp Spitzer
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - Janine Utz
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - Sabine Zirlik
- Department of Internal Medicine 1, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Florian S Fuchs
- Department of Internal Medicine 1, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany
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18
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Milinovic K, Pavlinac Dodig I, Lusic Kalcina L, Pecotic R, Ivkovic N, Valic M, Dogas Z. Adherence to CPAP Therapy in Obstructive Sleep Apnea: A Prospective Study on Quality of Life and Determinants of Use. Eur J Investig Health Psychol Educ 2024; 14:2463-2475. [PMID: 39329831 PMCID: PMC11431498 DOI: 10.3390/ejihpe14090163] [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: 07/13/2024] [Revised: 08/22/2024] [Accepted: 08/23/2024] [Indexed: 09/28/2024] Open
Abstract
Obstructive sleep apnea (OSA) often goes unrecognized despite common symptoms, such as excessive daytime sleepiness, fatigue, and impaired quality of life (QoL). Continuous positive airway pressure (CPAP) is the gold standard treatment for OSA, but optimal daily usage and time needed for observable effects remain unclear. This study aimed to investigate the short-term effects of CPAP on daytime sleepiness and QoL in patients with severe OSA. Medical records were collected from 87 patients with severe OSA who initiated CPAP therapy. Also, validated questionnaires were used before and after one month of CPAP to analyze QoL-the Calgary Sleep Apnea Quality of Life Index (SAQLI), the Cues to CPAP Use Questionnaire (CCUQ), and daytime sleepiness-the Epworth Sleepiness Scale (ESS). Multiple regression analysis was conducted to identify predictors of CPAP usage. Of the total participants aged 55.6 ± 12.5, 77% were males, and 62% were CPAP adherent. Reductions in daytime sleepiness (ESS) were noted, as well as improvements in both overall QoL (SAQLI) and specifically in the domains of daily functioning, social interactions, emotional well-being, and symptom perception. Important cues for CPAP usage recognized by patients were physicians' instructions and physicians' concern regarding their patients' condition. Furthermore, multiple regression revealed higher SAQLI scores and lower ESS scores as positive predictors of CPAP usage, along with lower AHI after one month of CPAP being associated with sufficient adherence.
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Affiliation(s)
- Karla Milinovic
- Department of Family Medicine, Split-Dalmatia Health Center, 21000 Split, Croatia;
| | - Ivana Pavlinac Dodig
- Department for Neuroscience, University of Split School of Medicine, 21000 Split, Croatia; (L.L.K.); (R.P.); (N.I.); (M.V.); (Z.D.)
| | - Linda Lusic Kalcina
- Department for Neuroscience, University of Split School of Medicine, 21000 Split, Croatia; (L.L.K.); (R.P.); (N.I.); (M.V.); (Z.D.)
| | - Renata Pecotic
- Department for Neuroscience, University of Split School of Medicine, 21000 Split, Croatia; (L.L.K.); (R.P.); (N.I.); (M.V.); (Z.D.)
| | - Natalija Ivkovic
- Department for Neuroscience, University of Split School of Medicine, 21000 Split, Croatia; (L.L.K.); (R.P.); (N.I.); (M.V.); (Z.D.)
| | - Maja Valic
- Department for Neuroscience, University of Split School of Medicine, 21000 Split, Croatia; (L.L.K.); (R.P.); (N.I.); (M.V.); (Z.D.)
| | - Zoran Dogas
- Department for Neuroscience, University of Split School of Medicine, 21000 Split, Croatia; (L.L.K.); (R.P.); (N.I.); (M.V.); (Z.D.)
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19
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Lettieri MJ, Warren WA, Walter RJ, Lettieri CJ. Correlation between positive airway pressure and medication adherence: the healthy user effect. J Clin Sleep Med 2024; 20:1087-1092. [PMID: 38421002 PMCID: PMC11217633 DOI: 10.5664/jcsm.11092] [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: 09/30/2023] [Revised: 02/11/2024] [Accepted: 02/12/2024] [Indexed: 03/02/2024]
Abstract
STUDY OBJECTIVES Despite the efficacy of positive airway pressure (PAP) for the treatment of obstructive sleep apnea, adherence remains challenging and negatively affects assessments of effectiveness. It is unclear whether low adherence is due to intolerance of PAP or whether this reflects overall adherence with medical therapy. We sought to correlate PAP use with medication adherence to determine whether poor adherence with PAP was specific to this treatment or represented global compliance with medical therapy. METHODS A total of 600 consecutive patients with obstructive sleep apnea were treated with PAP. Objective measures of PAP use were correlated with medication adherence. We included all chronically used medications, defined as medications used daily for at least 90 days prior to PAP initiation. Medication use was verified using an electronic health record. PAP adherence ("regular use") was defined as PAP use for ≥ 4 hours/night on ≥ 70% of nights. Medication adherence was defined as > 70% of pills taken as prescribed. RESULTS Complete records were available for 566 patients; 361 (63.8%) used chronic medications. The cohort was primarily men (90.3%, age 44.6 ± 10.2 years) with moderate obstructive sleep apnea (apnea-hypopnea index, 18.1 ± 13.9 events/h). In patients on chronic medications, PAP was used 55.8% of nights and 37.7% were regular users. Patients who were adherent with medications used PAP more hours/night (5.4 vs 4.6, P < .001) and were more likely to have regular PAP use compared with those nonadherent with medications (P = .04). CONCLUSIONS Adherence with PAP correlated with adherence to chronic medications. Low PAP adherence may reflect an individual's global adherence to medical care. This association may lead to better identification of patients who benefit from targeted therapy to improve overall health care adherence. CITATION Lettieri MJ, Warren WA, Walter RJ, Lettieri CJ. Correlation between positive airway pressure and medication adherence: the healthy user effect. J Clin Sleep Med. 2024;20(7):1087-1092.
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Affiliation(s)
- Matthew J. Lettieri
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Whittney A. Warren
- Division of Pulmonary, Critical Care and Sleep Medicine, Brooke Army Medical Center, Fort Sam Houston, Texas
| | - Robert J. Walter
- Division of Pulmonary, Critical Care and Sleep Medicine, Brooke Army Medical Center, Fort Sam Houston, Texas
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Christopher J. Lettieri
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland
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20
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Balk EM, Adam GP, Cao W, Bhuma MR, D’Ambrosio C, Trikalinos TA. Long-term effects on clinical event, mental health, and related outcomes of CPAP for obstructive sleep apnea: a systematic review. J Clin Sleep Med 2024; 20:895-909. [PMID: 38300818 PMCID: PMC11145052 DOI: 10.5664/jcsm.11030] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 01/10/2024] [Accepted: 01/11/2024] [Indexed: 02/03/2024]
Abstract
STUDY OBJECTIVES We performed a systematic review of long-term health outcomes of continuous positive airway pressure (CPAP) use in adults with obstructive sleep apnea. METHODS We updated prior systematic reviews with searches in multiple databases through January 3, 2023. We included randomized controlled trials (RCTs) and adjusted nonrandomized comparative studies that reported prespecified long-term (mostly > 1 year) health outcomes. We assessed risk of bias, conducted meta-analyses, and evaluated strength of evidence. RESULTS We found 38 eligible studies (16 trials, 22 observational). All conclusions were of low strength of evidence given study and data limitations. RCTs found no evidence of effect of CPAP on mortality (summary effect size [ES] 0.89; 95% confidence interval [CI] 0.66, 1.21); inclusion of adjusted nonrandomized comparative studies yields an association with reduced risk of death (ES 0.57; 95% CI 0.44, 0.73). RCTs found no evidence of effects of CPAP for cardiovascular death (ES 0.99; 95% CI 0.64, 1.53), stroke (ES 0.99; 95% CI 0.73, 1.35), myocardial infarction (ES 1.05; 95% CI 0.78, 1.41), incident atrial fibrillation (ES 0.89; 95% CI 0.48, 1.63), or composite cardiovascular outcomes (all statistically nonsignificant). RCTs found no evidence of effects for incident diabetes (ES 1.02; 95% CI 0.69, 1.51) or accidents (all nonsignificant) and no clinically significant effects on depressive symptoms, anxiety symptoms, or cognitive function. CONCLUSIONS Whether CPAP use for obstructive sleep apnea affects long-term health outcomes remains largely unanswered. RCTs and nonrandomized comparative studies are inconsistent regarding the effect of CPAP on mortality. Current studies are underpowered, with relatively short duration follow-up and methodological limitations. CITATION Balk EM, Adam GP, Cao W, Bhuma MR, D'Ambrosio C, Trikalinos TA. Long-term effects on clinical event, mental health, and related outcomes of CPAP for obstructive sleep apnea: a systematic review. J Clin Sleep Med. 2024;20(6):895-909.
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Affiliation(s)
- Ethan M. Balk
- Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, Rhode Island
| | - Gaelen P. Adam
- Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, Rhode Island
| | - Wangnan Cao
- Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, Rhode Island
| | - Monika Reddy Bhuma
- Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, Rhode Island
| | - Carolyn D’Ambrosio
- Section of Pulmonary, Critical Care, and Sleep Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Thomas A. Trikalinos
- Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, Rhode Island
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21
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Banks SJ, Yhang E, Tripodis Y, Su Y, Protas H, Adler CH, Balcer LJ, Bernick C, Mez JB, Palmisano J, Barr WB, Wethe JV, Dodick DW, Mcclean MD, Martin B, Hartlage K, Turner A, Turner RW, Malhotra A, Colman M, Pasternak O, Lin AP, Koerte IK, Bouix S, Cummings JL, Shenton ME, Reiman EM, Stern RA, Alosco ML. Clinical Outcomes and Tau Pathology in Retired Football Players: Associations With Diagnosed and Witnessed Sleep Apnea. Neurol Clin Pract 2024; 14:e200263. [PMID: 38425491 PMCID: PMC10900387 DOI: 10.1212/cpj.0000000000200263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 11/30/2023] [Indexed: 03/02/2024]
Abstract
Background and Objectives Obstructive sleep apnea (SA) is common in older men and a contributor to negative cognitive, psychiatric, and brain health outcomes. Little is known about SA in those who played contact sports and are at increased risk of neurodegenerative disease(s) and other neuropathologies associated with repetitive head impacts (RHI). In this study, we investigated the frequency of diagnosed and witnessed SA and its contribution to clinical symptoms and tau pathology using PET imaging among male former college and former professional American football players. Methods The sample included 120 former National Football League (NFL) players, 60 former college players, and 60 asymptomatic men without exposure to RHI (i.e., controls). Diagnosed SA was self-reported, and all participants completed the Mayo Sleep Questionnaire (MSQ, informant version), the Epworth Sleepiness Scale (ESS), neuropsychological testing, and tau (flortaucipir) PET imaging. Associations between sleep indices (diagnosed SA, MSQ items, and the ESS) and derived neuropsychological factor scores, self-reported depression (Beck Depression Inventory-II [BDI-II]), informant-reported neurobehavioral dysregulation (Behavior Rating Inventory of Executive Function-Adult Version [BRIEF-A] Behavioral Regulation Index [BRI]), and tau PET uptake, were tested. Results Approximately 36.7% of NFL players had diagnosed SA compared with 30% of the former college football players and 16.7% of the controls. Former NFL players and college football players also had higher ESS scores compared with the controls. Years of football play was not associated with any of the sleep metrics. Among the former NFL players, diagnosed SA was associated with worse Executive Function and Psychomotor Speed factor scores, greater BDI-II scores, and higher flortaucipir PET standard uptake value ratios, independent of age, race, body mass index, and APOE ε4 gene carrier status. Higher ESS scores correlated with higher BDI-II and BRIEF-A BRI scores. Continuous positive airway pressure use mitigated all of the abovementioned associations. Among the former college football players, witnessed apnea and higher ESS scores were associated with higher BRIEF-A BRI and BDI-II scores, respectively. No other associations were observed in this subgroup. Discussion Former elite American football players are at risk of SA. Our findings suggest that SA might contribute to cognitive, neuropsychiatric, and tau outcomes in this population. Like all neurodegenerative diseases, this study emphasizes the multifactorial contributions to negative brain health outcomes and the importance of sleep for optimal brain health.
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Affiliation(s)
- Sarah J Banks
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Eukyung Yhang
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Yorghos Tripodis
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Yi Su
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Hillary Protas
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Charles H Adler
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Laura J Balcer
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Charles Bernick
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Jesse B Mez
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Joseph Palmisano
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - William B Barr
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Jennifer V Wethe
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - David W Dodick
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Michael D Mcclean
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Brett Martin
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Kaitlin Hartlage
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Arlener Turner
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Robert W Turner
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Atul Malhotra
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Michael Colman
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Ofer Pasternak
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Alexander P Lin
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Inga K Koerte
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Sylvain Bouix
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Jeffrey L Cummings
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Martha E Shenton
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Eric M Reiman
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Robert A Stern
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Michael L Alosco
- Departments of Neuroscience and Psychiatry (SJB), University of California, San Diego; Department of Biostatistics (EY, YT), Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (YT, JBM, RAS, MLA), Boston University CTE Center, Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, MA; Banner Alzheimer's Institute (YS), Arizona State University,; Banner Alzheimer's Institute (HP), Arizona Alzheimer's Consortium, Phoenix; Department of Neurology (CHA, DWD), Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale; Departments of Neurology (LJB), Population Health and Ophthalmology, NYU Grossman School of Medicine, New York; Cleveland Clinic Lou Ruvo Center for Brain Health (CB), Las Vegas, NV; Biostatistics and Epidemiology Data Analytics Center (BEDAC) (JP, BM, KH), Boston University School of Public Health, MA; Department of Neurology (WBB), NYU Grossman School of Medicine, New York; Department of Psychiatry and Psychology (JVW), Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale; Department of Environmental Health (MDM), Boston University School of Public Health, MA; Department of Psychiatry and Behavioral Sciences (AT), University of Miami; Department of Clinical Research and Leadership (RWT), The George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Medicine (AM), UCSD, San Diego, CA; Psychiatry Neuroimaging Laboratory (MC, OP, APL, IKK, SB), Department of Psychiatry, Brigham and Women's Hospital; Massachusetts General Hospital (IKK), Boston, MA; cBRAIN (IKK), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; Graduate School of Systemic Neurosciences (IKK); NICUM (NeuroImaging Core Unit Munich) (IKK), Ludwig Maximilians University, Munich, Germany; Chambers-Grundy Center for Transformative Neuroscience (JLC), Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas; Psychiatry Neuroimaging Laboratory (MES), Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, Boston, MA; Department of Software Engineering and Information Technology (SB), École de technologie supérieure, Montreal, QC; Banner Alzheimer's Institute (EMR), University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix; Department of Anatomy and Neurobiology (RAS); and Department of Neurosurgery (RAS), Boston University Chobanian and Avedisian School of Medicine, Boston, MA
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22
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Sunkonkit K, Tiyapun N, Chaiwong W, Worasuthaneewan R, Theerakittikul T. Effect of particulate matter on continuous positive airway pressure adherence in obstructive sleep apnea patients. J Thorac Dis 2024; 16:2004-2010. [PMID: 38617771 PMCID: PMC11009577 DOI: 10.21037/jtd-23-1507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 02/19/2024] [Indexed: 04/16/2024]
Abstract
Background Sleep quality could be affected by air pollution, especially for particulate matter with a diameter of less than 10 microns (PM10) and particulate matter with a diameter of less than 2.5 microns (PM2.5). However, no direct study demonstrates the relationship and impact of air pollution especially PM10 and PM2.5 on continuous positive airway pressure (CPAP) adherence. Thus, we aimed to study the correlation between PM10, PM2.5, and low CPAP adherence in subjects with obstructive sleep apnea (OSA). Methods We conducted a time-series study from August 2016 to May 2022 in Chiang Mai, Thailand. The data from 2,686 visits of CPAP compliance records from 839 OSA patients' electronic medical records at the Sleep Disorders Center, Center of Medical Excellence, Chiang Mai University, Chiang Mai, Thailand were reviewed. The level of adherence was determined utilizing the provided data. Low CPAP adherence was defined as using CPAP for less than 240 minutes per night or less than 70% of nights (i.e., <5 nights/week) in the previous month. The correlation between the monthly average of PM10 and PM2.5 and the rate of low CPAP adherence was analyzed using generalized linear mixed model (GLMM) after adjustment for confounding factors. Results There was no effect of an increase in PM10 and PM2.5 on low CPAP adherence [adjusted risk ratio (RR) =0.97; 95% confidence interval (CI): 0.87, 1.09; P value =0.624 and adjusted RR =0.93; 95% CI: 0.81, 1.08; P value =0.350 for PM10 and PM2.5, respectively]. Conclusions There was no effect of particulate matter on CPAP adherence in OSA patients.
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Affiliation(s)
- Kanokkarn Sunkonkit
- Sleep Disorders Center, Center for Medical Excellence, Chiang Mai University, Chiang Mai, Thailand
- Division of Pulmonary and Critical Care, Department of Pediatric, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Nantaporn Tiyapun
- Sleep Disorders Center, Center for Medical Excellence, Chiang Mai University, Chiang Mai, Thailand
| | - Warawut Chaiwong
- Division of Pulmonary, Critical Care and Allergy, Department of Internal Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Ratirat Worasuthaneewan
- Sleep Disorders Center, Center for Medical Excellence, Chiang Mai University, Chiang Mai, Thailand
| | - Theerakorn Theerakittikul
- Sleep Disorders Center, Center for Medical Excellence, Chiang Mai University, Chiang Mai, Thailand
- Division of Pulmonary, Critical Care and Allergy, Department of Internal Medicine, Chiang Mai University, Chiang Mai, Thailand
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23
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Zheng Y, Yee BJ, Wong K, Grunstein RR, Piper AJ. A comparison of two obesity-related hypoventilation disorders: Impact on sleep, quality of life and neurocognitive outcomes and the effects of positive airway pressure therapy. SLEEP ADVANCES : A JOURNAL OF THE SLEEP RESEARCH SOCIETY 2024; 5:zpae016. [PMID: 38571727 PMCID: PMC10990061 DOI: 10.1093/sleepadvances/zpae016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/29/2023] [Indexed: 04/05/2024]
Abstract
Study Objectives Symptom impact and neurocognitive function have not been previously compared between patients with obesity-associated hypoventilation disorders (obesity hypoventilation syndrome [OHS]) and hypoventilation in the setting of obesity and obstructive airways disease (OHAD). The aim of this study is to compare baseline sleep-related symptoms, health-related quality of life, and neurocognitive function between OHS and OHAD and the impact of PAP therapy on these outcomes. Methods Epworth Sleepiness Scale (ESS), Pittsburgh Sleepiness Quality Index (PSQI), SF36, and various neurocognitive tests, in addition to anthropometric, polysomnography, lung function, and blood gas data from participants with OHS and participants with OHAD, were included in the analysis. These data were originally collected in their respective randomized clinical trials, comparing the efficacy of different PAP modes (bilevel PAP vs. CPAP) in resolving hypercapnia. Between groups (OHS vs OHAD), pre- and post-treatment (with 3 months of positive airway pressure) comparisons were made using linear mixed modeling. Results 45 OHS participants (mean age 51 years old, 33% female, BMI 52 kg/m2, FER 0.81, PaCO2 54 mmHg, AHI 87/h) and 32 OHAD participants (mean age 61years old, 31% female, BMI 43kg/m2, FER 0.60, PaCO2 54 mmHg, AHI 59/h) were included in the analysis. Both OHS and OHAD had similar baseline ESS (14(5.6) vs. 12(5.4)), Global PSQI (10(3.2) vs. 11(4.8)), SF36 and neurocognitive test performances (other than OHAD had lower digit symbol substitution test performance). Treatment with PAP therapy resulted in similar ESS, Global PSQI, and SF36 improvements in both groups. Neurocognitive performance did not significantly improve after PAP therapy in either group. Conclusions The symptom impact between two separate hypoventilation disorders (OHS and OHAD), in terms of sleepiness, sleep quality, quality of life, and cognitive function, were similar. OHS and OHAD had similar treatment responses in these parameters after 3 months of PAP therapy.Nocturnal ventilatory support in OHS.
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Affiliation(s)
- Yizhong Zheng
- Sleep and Circadian Research Group, Woolcock Institute of Medical Research, Sydney, NSW 2037, Australia
- Central Clinical School, University of Sydney, Sydney, NSW 2050, Australia
- Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia
- Department of Respiratory and Sleep Medicine, St George Hospital, Sydney, NSW 2217, Australia
| | - Brendon J Yee
- Sleep and Circadian Research Group, Woolcock Institute of Medical Research, Sydney, NSW 2037, Australia
- Central Clinical School, University of Sydney, Sydney, NSW 2050, Australia
- Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia
| | - Keith Wong
- Sleep and Circadian Research Group, Woolcock Institute of Medical Research, Sydney, NSW 2037, Australia
- Central Clinical School, University of Sydney, Sydney, NSW 2050, Australia
- Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia
| | - Ronald R Grunstein
- Sleep and Circadian Research Group, Woolcock Institute of Medical Research, Sydney, NSW 2037, Australia
- Central Clinical School, University of Sydney, Sydney, NSW 2050, Australia
| | - Amanda J Piper
- Central Clinical School, University of Sydney, Sydney, NSW 2050, Australia
- Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia
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24
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Parthasarathy S, Hyman D, Doherty J, Saad R, Zhang J, Morris S, Eldemir L, Fox B, Ying Vang MK, Schroeder J, Marshall NJ, Parks GS. A real-world observational study assessing relationships between excessive daytime sleepiness and patient satisfaction in obstructive sleep apnea. Sleep Med 2024; 114:42-48. [PMID: 38154148 PMCID: PMC10961719 DOI: 10.1016/j.sleep.2023.12.011] [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: 10/11/2023] [Revised: 12/11/2023] [Accepted: 12/16/2023] [Indexed: 12/30/2023]
Abstract
OBJECTIVES/BACKGROUND To estimate prevalence and severity of excessive daytime sleepiness among patients with obstructive sleep apnea (OSA) who were prescribed treatment; assess perception and satisfaction of OSA-related care; describe relationships between excessive daytime sleepiness, treatment adherence, and patient satisfaction. PATIENTS/METHODS A national population-based cross-sectional sample of US adults with clinician-diagnosed OSA was surveyed in January 2021 via Evidation Health's Achievement App. Patients completed the Epworth Sleepiness Scale, rated satisfaction with healthcare provider and overall OSA care, and reported treatment adherence. Covariates affecting excessive daytime sleepiness (average weekly sleep duration, treatment adherence, sleepiness-inducing medications, age, sex, body mass index, nasal congestion, smoking status, and comorbidities) were adjusted in multivariate regression models. RESULTS In 2289 participants (50.3 % women; 44.8 ± 11.1 years), EDS was highly prevalent (42 %), and was experienced by 36 % of patients with high positive airway pressure (PAP) therapy adherence. Each additional hour of nightly PAP use was associated with improved sleepiness (a 0.28-point lower Epworth score; p < 0.001). Excessive daytime sleepiness was associated with lower patient satisfaction with healthcare providers and overall care (OR [95 % CI] 0.62 [0.48-0.80] and 0.50 [0.39-0.64], respectively; p < 0.0001), whereas PAP adherence was associated with higher patient satisfaction (OR [95 % CI] 2.37 [1.64-3.43] and 2.91 [2.03-4.17]; p < 0.0001), after adjusting for confounders. CONCLUSIONS In a real-world population-based study of patients with OSA, excessive daytime sleepiness was highly prevalent and associated with poor patient satisfaction ratings. Better patient-centered care among patients with OSA may require interventions aimed at addressing excessive daytime sleepiness and treatment adherence.
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Affiliation(s)
| | | | | | - Ragy Saad
- Jazz Pharmaceuticals, Palo Alto, CA, USA
| | | | | | | | | | | | | | | | - Gregory S Parks
- Jazz Pharmaceuticals, Palo Alto, CA, USA; Axsome Therapeutics, Inc., New York, NY, USA
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25
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Najafi A, Ala M, Amali A, Hivechi N, Heidari R, Mokary Y. An Evaluation of Obstructive Sleep Apnea Patient's Quality of life Following Continuous Positive Airway Pressure and Uvulopalatopharyngoplasty. Indian J Otolaryngol Head Neck Surg 2024; 76:753-757. [PMID: 38440610 PMCID: PMC10908904 DOI: 10.1007/s12070-023-04270-7] [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: 07/14/2023] [Accepted: 10/05/2023] [Indexed: 03/06/2024] Open
Abstract
Aims Obstructive sleep apnea (OSA) is characterized by episodic sleep state-dependent upper airway collapse. OSA can markedly decrease quality of life (QoL) and productivity. Continuous Positive Airway Pressure (CPAP) has been used as an effective treatment for OSA. Recently, uvulopalatopharyngoplasty (UPPP) treatment has emerged as effective management among patients with OSA, especially non-adherent ones to conventional therapies such as CPAP. Our aim was to determine whether CPAP and UPPP treatment could improve the quality of life in patients with moderate OSA. Design Prospective. Setting Patients with moderate OSA, confirmed by polysomnography from March 2019 to March 2020, participated. CPAP and UPPP treatments were considered for patients according to their preferences. The Sleep Apnea Quality of Life Index (SAQLI) questionnaire before and after treatment was completed. Methods Change in their QoL was compared between the CPAP group and UPPP treatment. In addition, QoL was compared between these groups and patients who did not receive any of these treatment methods. Results Seventy-eight patients were included in treatment groups, 40 using CPAP and 38 undergoing UPPP treatment. Furthermore, 10 patients who did not receive treatment were considered the control. Both methods of treatment significantly (p < 0.001) improved QoL, but UPPP treatment was superior (p = 0.042) to CPAP. There was a poor correlation between post-treatment BMI (0.037), Respiratory Disturbance Index (RDI) (0.096), age (0.022), and post-treatment SAQLI score. Conclusion Based on these results, CPAP and UPPP treatment can improve QoL. UPPP treatment could be considered an effective arm of OSA management among the study population.
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Affiliation(s)
- Arezu Najafi
- Occupational Sleep Research Center, Baharloo Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Moin Ala
- School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Amin Amali
- Occupational Sleep Research Center, Baharloo Hospital, Tehran University of Medical Sciences, Tehran, Iran
- Otorhinolaryngology Research Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Nafiseh Hivechi
- School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Reihaneh Heidari
- Occupational Sleep Research Center, Baharloo Hospital, Tehran University of Medical Sciences, Tehran, Iran
- Otorhinolaryngology Research Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Yousef Mokary
- Student Research Committee, Shahrekord University of Medical Sciences, Shahrekord, Iran
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Saran S, Saccomanno S, Viti S, Mastrapasqua RF, Viti G, Giannotta N, Fioretti P, Lorenzini E, Raffaelli L, Levrini L. Analysis of General Knowledge on Obstructive Sleep Apnea Syndrome (OSAS) among Italian Pediatricians. CHILDREN (BASEL, SWITZERLAND) 2024; 11:148. [PMID: 38397260 PMCID: PMC10887165 DOI: 10.3390/children11020148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 01/19/2024] [Accepted: 01/20/2024] [Indexed: 02/25/2024]
Abstract
INTRODUCTION Obstructive sleep apnea syndrome (OSAS) is a disorder characterized by partial or total airway obstruction during sleep. Studies have shown variability in the level of knowledge and awareness about OSAS among pediatricians. The management of childhood obstructive sleep apnea syndrome (OSAS) depends on the severity of the disease, the presence of comorbidities, and the child's age. The American Pediatric Academy recommends a multidisciplinary approach involving a pediatrician, a sleep specialist, and an otolaryngologist to provide comprehensive care for children with OSAS. The aim of this cross-sectional study is to evaluate the level of knowledge among pediatricians in Italy regarding the diagnosis of pediatric OSAS. MATERIAL AND METHODS An anonymized survey was conducted among Italian pediatricians. The survey was administered electronically using Google Forms, and a total of 350 pediatricians were invited to participate. Out of the 350 invitations, 299 pediatricians responded to the survey. The statistical analysis performed consisted of descriptive analysis. The study included 297 pediatricians. RESULTS Pediatricians demonstrated proficiency in identifying common nocturnal and day symptoms of OSAS. A majority (68.9%) considered the oral and otorhinolaryngologist areas during checkups. Approximately 70.6% took patient weight into account, and 62.8% were aware of the regional diagnostic-therapeutic-assistance pathway. CONCLUSIONS According to the results of this manuscript, there is evidence of a good level of knowledge about OSAS, but disseminating more information about OSAS and all the health issues associated with this syndrome is suggested. This study also has limitations caused by the complexity of the pathology.
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Affiliation(s)
- Stefano Saran
- Department of Human Sciences, Innovation and Territory, School of Dentistry, Postgraduate of Orthodontics, University of Insubria, 21100 Varese, Italy (N.G.); (L.L.)
| | - Sabina Saccomanno
- Orthodontic Residency, Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy;
| | - Simonetta Viti
- Department of Dentistry, Dental School, IRCCS San Raffaele Hospital, Vita-Salute San Raffaele University, 20132 Milan, Italy;
| | | | - Grazia Viti
- Department of Human Sciences, Innovation and Territory, School of Dentistry, Postgraduate of Orthodontics, University of Insubria, 21100 Varese, Italy (N.G.); (L.L.)
| | - Nicola Giannotta
- Department of Human Sciences, Innovation and Territory, School of Dentistry, Postgraduate of Orthodontics, University of Insubria, 21100 Varese, Italy (N.G.); (L.L.)
| | - Paola Fioretti
- Department of Medicine and Surgery, Hygiene and Public Health Section, University of Perugia, 06123 Perugia, Italy; (P.F.); (E.L.)
| | - Elisa Lorenzini
- Department of Medicine and Surgery, Hygiene and Public Health Section, University of Perugia, 06123 Perugia, Italy; (P.F.); (E.L.)
| | - Luca Raffaelli
- Dental School, Catholic University of the Sacred Heart, 00168 Rome, Italy;
| | - Luca Levrini
- Department of Human Sciences, Innovation and Territory, School of Dentistry, Postgraduate of Orthodontics, University of Insubria, 21100 Varese, Italy (N.G.); (L.L.)
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Carpi M, Cordella A, Placidi F, Izzi F, Piccirilli E, Mercuri NB, Tarantino U, Liguori C. Continuous positive airway pressure treatment improves bone mineral density in men affected by severe obstructive sleep apnea syndrome. J Clin Sleep Med 2024; 20:67-73. [PMID: 37677073 PMCID: PMC10758556 DOI: 10.5664/jcsm.10796] [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: 05/12/2023] [Revised: 08/27/2023] [Accepted: 09/01/2023] [Indexed: 09/09/2023]
Abstract
STUDY OBJECTIVES Obstructive sleep apnea (OSA) and low bone mineral density (BMD) are 2 prevalent conditions with a significant negative impact on patients' well-being and quality of life. Recent research has shown low BMD at different bone sites in male patients with OSA. Although the efficacy of continuous positive airway pressure (CPAP) treatment for OSA has been widely demonstrated, the evidence for understanding its impact on BMD and other bone-related outcomes is insufficient. The aim of this observational study was to investigate the effect of 12 months of CPAP treatment on lumbar and femur BMD and bone-related serum biomarkers in male patients with severe OSA. METHODS Sixty patients (mean age: 55.1 ± 9.9 years) were consecutively included and underwent BMD measurement with dual-energy x-ray absorptiometry at baseline and after 12 months of CPAP treatment. Vitamin D, parathyroid hormone, and calcium serum levels were examined at the same time points. RESULTS A significant increase in BMD in the L1 (P < .001, d = 0.27) and L2 (P < .001, d = 0.26) vertebrae was observed after CPAP treatment, along with an increase in vitamin D (P < .001, d = 0.71) and calcium (P < .001, d = 0.73) levels and a decrease in parathyroid hormone levels (P < .001, d = 0.60). The increase in BMD in L1 was significantly correlated with the decrease in parathyroid hormone serum levels (r = -.50, P < .001). CONCLUSIONS Overall, these findings showed that beneficial OSA treatment might restore bone health and support CPAP treatment as a feasible strategy to improve BMD in male patients with severe OSA. Accordingly, diagnosing and targeting OSA may be warranted in the treatment of male patients with undetermined osteopenia and osteoporosis. CITATION Carpi M, Cordella A, Placidi F, et al. Continuous positive airway pressure treatment improves bone mineral density in men affected by severe obstructive sleep apnea syndrome. J Clin Sleep Med. 2024;20(1):67-73.
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Affiliation(s)
- Matteo Carpi
- Sleep Medicine Centre, Neurology Unit, University Hospital of Rome “Tor Vergata,” Rome, Italy
| | | | - Fabio Placidi
- Sleep Medicine Centre, Neurology Unit, University Hospital of Rome “Tor Vergata,” Rome, Italy
- Department of Systems Medicine, University of Rome “Tor Vergata,” Rome, Italy
| | - Francesca Izzi
- Sleep Medicine Centre, Neurology Unit, University Hospital of Rome “Tor Vergata,” Rome, Italy
| | - Eleonora Piccirilli
- Department of Orthopedics and Traumatology, University Hospital of Rome “Tor Vergata,” Rome, Italy
| | - Nicola Biagio Mercuri
- Sleep Medicine Centre, Neurology Unit, University Hospital of Rome “Tor Vergata,” Rome, Italy
- Department of Systems Medicine, University of Rome “Tor Vergata,” Rome, Italy
| | - Umberto Tarantino
- Department of Orthopedics and Traumatology, University Hospital of Rome “Tor Vergata,” Rome, Italy
| | - Claudio Liguori
- Sleep Medicine Centre, Neurology Unit, University Hospital of Rome “Tor Vergata,” Rome, Italy
- Department of Systems Medicine, University of Rome “Tor Vergata,” Rome, Italy
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28
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Fu W, Li L, Zhang S, Liu S, Liu W. Effects of CPAP and Mandibular Advancement Devices on depressive symptoms in patients with obstructive sleep apnea: a meta-analysis of randomized controlled trials. Sleep Breath 2023; 27:2123-2137. [PMID: 37119355 DOI: 10.1007/s11325-023-02829-w] [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: 02/09/2023] [Revised: 03/25/2023] [Accepted: 04/07/2023] [Indexed: 05/01/2023]
Abstract
PURPOSE Studies show that patients with obstructive sleep apnea (OSA) are more likely than the general population to have psychological disorders such as depression. However, it is less clear how OSA treatment affects this association. This meta-analysis aimed to assess whether or not continuous positive airway pressure (CPAP) and mandibular advancement devices (MADs) reduce depression symptoms in patients with OSA. METHODS We searched Pubmed, Embase, Web of Science, and Cochrane Library from creating the databases until November 2022. Our analysis included RCTs that examined CPAP and MAD treatment effectiveness for depression in patients with OSA. RESULTS We identified 17 CPAP studies comprising 1,931 patients for inclusion in the meta-analysis. The results of the meta-analysis using a fixed effects model found that CPAP improved depressed mood in patients with OSA relative to controls (SMD = 0.27;95% CI:0.18,0.36), with small heterogeneity among trials (I2 = 8.1% < 50%, P = 0.359). We performed subgroup analyses on three factors: the length of trial follow-up, patient adherence data, and depression assessment scales. The meta-analysis also identified six MAD studies involving 315 patients. According to this analysis, there was no heterogeneity between studies (I2 = 0%, P = 0.748). MADs did not significantly improve depression symptoms compared to controls, indicating a combined effect of SMD = 0.07 (95% CI: - 0.15,0.29), P > 0.05. CONCLUSION The present findings confirm that CPAP may improve depressive symptoms in patients with OSA. However, the review results suggest that MADs have no significant effect on depressive symptoms in patients with OSA, a finding that is different from the results of previous meta-analyses.
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Affiliation(s)
- Wenli Fu
- The First Clinical Medical College of Lanzhou University, Lanzhou, 730000, China
| | - Leping Li
- The First Clinical Medical College of Lanzhou University, Lanzhou, 730000, China
| | - Sha Zhang
- The First Clinical Medical College of Lanzhou University, Lanzhou, 730000, China
| | - Shengfei Liu
- The First Clinical Medical College of Lanzhou University, Lanzhou, 730000, China
| | - Weiying Liu
- Department of Respiratory and Critical Care Medicine, The First Hospital of Lanzhou University, Lanzhou, 730000, China.
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Sarode R, Nikam PP. The Impact of Sleep Disorders on Cardiovascular Health: Mechanisms and Interventions. Cureus 2023; 15:e49703. [PMID: 38161933 PMCID: PMC10757461 DOI: 10.7759/cureus.49703] [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: 08/24/2023] [Accepted: 11/30/2023] [Indexed: 01/03/2024] Open
Abstract
This comprehensive review article explores the intricate mechanisms at work and possible remedies for the connection between sleep issues and cardiovascular health. Sleep disorders, which include conditions like insomnia and sleep apnea, are drawing increasing amounts of attention due to their serious detrimental consequences on cardiovascular health. This article carefully examines the body of existing evidence to explain the intricate mechanisms that connect sleep disruptions to cardiovascular issues. Mechanisms include inflammation, disruption of the autonomic nervous system, endothelial dysfunction, and aberrant metabolic processes all have an impact on these pathways. The study also looks at a variety of existing and novel therapeutic modalities that aim to minimize the detrimental effects of sleep disruptions on cardiovascular health. This includes evaluating the effectiveness of lifestyle changes, pharmaceutical interventions, and behavioural therapy for enhancing sleep quality and hence preserving cardiovascular health. By synthesising and presenting the most recent study data, this article offers valuable insights into the complex relationships between sleep patterns, cardiovascular function, and potential therapeutics. These results provide a solid foundation for guiding future research endeavours and clinical judgements. Pharmacotherapy is a possibility for momentary relief. Cardiovascular illness has been linked to the sensorimotor problem known as restless legs syndrome (RLS), which causes a strong impulse to move the legs. Sleep disruption caused by RLS-related leg movements leads to sympathetic activation, elevated blood pressure, impaired vascular function, and potential iron deficiency. Treating the underlying iron deficiency, when present, and medications targeting dopamine receptors or regulating calcium channels are the primary interventions for RLS. In conclusion, sleep disorders significantly impact cardiovascular health through multiple mechanisms. Early detection, accurate diagnosis, and appropriate interventions are crucial for mitigating associated cardiovascular risks. Multidisciplinary approaches including lifestyle modifications, behavioral interventions, and targeted pharmacotherapy have shown promise in improving sleep quality and cardiovascular outcomes. Further research is needed to enhance our understanding of the complex interplay between sleep disorders and cardiovascular health, leading to the development of more effective interventions and improved patient outcomes.
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Affiliation(s)
- Rushi Sarode
- Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Prafulla P Nikam
- Anatomy, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
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Nunes HDSS, Vaz de Castro J, Favier V, Carsuzaa F, Kim MHR, Mira FA, Meccariello G, Vicini C, De Vito A, Lechien JR, Chiesa Estomba C, Maniaci A, Iannella G, Cammaroto G. Predictors of Success of Pharyngeal Surgery in the Treatment of Obstructive Sleep Apnea: A Narrative Review. J Clin Med 2023; 12:6773. [PMID: 37959237 PMCID: PMC10649816 DOI: 10.3390/jcm12216773] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/16/2023] [Accepted: 10/23/2023] [Indexed: 11/15/2023] Open
Abstract
(1) Background: This narrative review aims to explore the predictors of success for pharyngeal surgery in the treatment of obstructive sleep apnea (OSA). An extensive literature search was conducted, identifying relevant studies published up to June 2023, utilizing various databases and key search terms related to OSA, surgical interventions, and predictors of success. The review encompasses both retrospective and prospective studies, case series, and cohort studies to provide a broad understanding of the topic; (2) Methods: Review of English scientific literature on phenotypes of OSA related to predictors of success of pharyngeal surgery; (3) Results: Of 75 articles, 21 were included, in these the following were determined to be factors for surgical success: body mass index (BMI) (8 articles), apnea/hypopnea index (AHI) (8 articles), cephalometry (8 articles), palatine tonsil size (7 articles), Modified Mallampati score (2 articles), genioglossus electromyography (2 articles), Friedman score or upper airway anatomy (3 articles), nasopharyngolaryngoscopy (2 articles), drug-induced sleep endoscopy (DISE) (1 article), oral cavity anatomy (1 article) and oxygen desaturation index (ODI) (1 article); (4) Conclusions: The lack of standardized protocols for the indication of pharyngeal surgery is a reality, however identifying known predictors of surgical success may facilitate homogenizing indications.
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Affiliation(s)
- Heloisa dos Santos Sobreira Nunes
- ENT and Sleep Medicine Department, Nucleus of Otolaryngology, Head and Neck Surgery and Sleep Medicine of São Paulo, São Paulo 04090-010, Brazil
- Young Otolaryngologists-International Federations of Oto-Rhinolaryngological Societies (YO-IFOS), 75000 Paris, France (V.F.); (F.A.M.); (A.M.)
| | - Joana Vaz de Castro
- Young Otolaryngologists-International Federations of Oto-Rhinolaryngological Societies (YO-IFOS), 75000 Paris, France (V.F.); (F.A.M.); (A.M.)
- ENT Department, Armed Forces Hospital, 1649-026 Lisbon, Portugal
| | - Valentin Favier
- Young Otolaryngologists-International Federations of Oto-Rhinolaryngological Societies (YO-IFOS), 75000 Paris, France (V.F.); (F.A.M.); (A.M.)
- ENT Department, University Hospital of Montpellier, 34080 Montpellier, France
| | - Florent Carsuzaa
- Young Otolaryngologists-International Federations of Oto-Rhinolaryngological Societies (YO-IFOS), 75000 Paris, France (V.F.); (F.A.M.); (A.M.)
- ENT Department, University Hospital of Poitiers, 86000 Poitiers, France
| | - Marina He Ryi Kim
- ENT and Sleep Medicine Department, Nucleus of Otolaryngology, Head and Neck Surgery and Sleep Medicine of São Paulo, São Paulo 04090-010, Brazil
| | - Felipe Ahumada Mira
- Young Otolaryngologists-International Federations of Oto-Rhinolaryngological Societies (YO-IFOS), 75000 Paris, France (V.F.); (F.A.M.); (A.M.)
- ENT Department, Hospital of Linares, Linares 3582259, Chile
| | - Giuseppe Meccariello
- Head and Neck Department, ENT & Oral Surgery Unity, G.B. Morgagni, L. Pierantoni Hospital, 47100 Forlì, Italy
| | - Claudio Vicini
- Head and Neck Department, ENT & Oral Surgery Unity, G.B. Morgagni, L. Pierantoni Hospital, 47100 Forlì, Italy
| | - Andrea De Vito
- Head and Neck Department, ENT & Oral Surgery Unity, G.B. Morgagni, L. Pierantoni Hospital, 47100 Forlì, Italy
| | - Jerome R. Lechien
- Young Otolaryngologists-International Federations of Oto-Rhinolaryngological Societies (YO-IFOS), 75000 Paris, France (V.F.); (F.A.M.); (A.M.)
- Division of Laryngology and Broncho-Esophagology, Department of Otolaryngology and Head and Neck Surgery, EpiCURA Hospital, UMONS Research Institute for Health Sciences and Technology, University of Mons, 7000 Mons, Belgium
| | - Carlos Chiesa Estomba
- Young Otolaryngologists-International Federations of Oto-Rhinolaryngological Societies (YO-IFOS), 75000 Paris, France (V.F.); (F.A.M.); (A.M.)
- Department of Otorhinolaryngology, Donostia University Hospital, Biodonostia Research Institute, Osakidetza, 20014 San Sebastian, Spain
| | - Antonino Maniaci
- Young Otolaryngologists-International Federations of Oto-Rhinolaryngological Societies (YO-IFOS), 75000 Paris, France (V.F.); (F.A.M.); (A.M.)
- Department of Medical and Surgical Sciences and Advanced Technologies “GF Ingrassia”, ENT Section, University of Catania, Piazza Università 2, 95100 Catania, Italy
| | - Giannicola Iannella
- Young Otolaryngologists-International Federations of Oto-Rhinolaryngological Societies (YO-IFOS), 75000 Paris, France (V.F.); (F.A.M.); (A.M.)
- Department of ‘Organi di Senso’, University “Sapienza”, Viale dell’Università 33, 00185 Rome, Italy
| | - Giovanni Cammaroto
- Young Otolaryngologists-International Federations of Oto-Rhinolaryngological Societies (YO-IFOS), 75000 Paris, France (V.F.); (F.A.M.); (A.M.)
- Head and Neck Department, ENT & Oral Surgery Unity, G.B. Morgagni, L. Pierantoni Hospital, 47100 Forlì, Italy
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Verde Sánchez L, Capote-Moreno A, Wix R, Rodríguez-Campo FJ, Brabyn PJ, Rubio-Bueno P. Improved Quality of Life After Mandibular Advancement by Bilateral Internal Ramus Distraction. J Oral Maxillofac Surg 2023; 81:1215-1226. [PMID: 37480942 DOI: 10.1016/j.joms.2023.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 06/14/2023] [Accepted: 06/23/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND Obstructive Sleep Apnea (OSA) is a significant health issue due to noncompliance with continuous positive airway pressure treatment. Therefore, evaluating alternative treatments is crucial. PURPOSE Analyze the impact of maxillomandibular advancement using bilateral internal ramus distraction (BIRD) on quality of life (QOL) in OSA patients. STUDY DESIGN, SETTING, AND SAMPLE A prospective cohort study was conducted at the Oral and Maxillofacial Surgery Department of the University Hospital "La Princesa." The study included patients with moderate to severe OSA who were treated with the BIRD approach. PREDICTOR VARIABLE Changes in measured variables were analyzed at three time points: before surgery (T1), after mandibular advancement (T2), and after maxillary advancement (T3). MAIN OUTCOME VARIABLE(S) QOL changes measured by Quebec Sleep Questionnaire and the Epworth Sleepiness Scale. Secondary outcomes included: apnea-hypopnea index (AHI), oxygen desaturation index, and percentage of time with saturation below 90%. COVARIATES Age, sex, continuous positive airway pressure treatment, cephalometric variables and cardiovascular risk parameters were considered. ANALYSES Statistical analysis employed the Friedman test and χ2 test, with a significance level of P ≤ .05. RESULTS The study included 32 patients (22% with moderate OSA, 78% with severe OSA). Epworth Sleepiness Scale scores significantly decreased between T1 (13.4 ± 4.4) and T2 (5.8 ± 3.6) and T3 (1.9 ± 1.8) (P < .001). QOL improvements were observed in all domains: daytime sleepiness T1 (3.0 ± 1.3) T2 (5.4 ± 1.4) T3 (6.3 ± 1.0); diurnal symptoms T1 (2.5 ± 1.4) T2 (5.2 ± 1.3) T3 (6.2 ± 1.1); nocturnal symptoms T1 (2.5 ± 1.1) T2 (5.6 ± 1.1) T3 (6.5 ± 0.8); emotions T1 (2.6 ± 1.6) T2 (5.3 ± 1.4) T3 (6.5 ± 0.9); and social interaction T1 (2.5 ± 1.6) T2 (5.4 ± 1.6) T3 (6.3 ± 1.2) (P < .001). AHI decreased between T1 (47.9 ± 23.1) and T2 (14.4 ± 14.3) and T3 (4.7 ± 5.6) h-1 (P < .001), with a final cure rate of 81.2% (defined as final AHI<5 h-1). Oxygen desaturation index and percentage of time with saturation below 90% also showed significant reductions (P < .001). CONCLUSIONS AND RELEVANCE BIRD approach for OSA demonstrated a high cure rate and significant QOL improvements. It shows promise as an effective surgical option. Further research and long-term follow-up are needed.
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Affiliation(s)
- Laura Verde Sánchez
- Resident, Oral and Maxillofacial Surgery, University Hospital La Princesa, Madrid, Spain.
| | - Ana Capote-Moreno
- Consultant, Oral and Maxillofacial Surgery Department, University Hospital ''La Princesa", Madrid, Spain
| | - Rybel Wix
- Consultant, Neurophysiology Department, University Hospital La Princesa, Madrid, Spain
| | | | - Philip J Brabyn
- Consultant, Oral and Maxillofacial Surgery Department, University Hospital ''La Princesa", Madrid, Spain
| | - Pilar Rubio-Bueno
- Consultant, Oral and Maxillofacial Surgery Department, University Hospital ''La Princesa", Madrid, Spain
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Yue Z, Yi Z, Liu X, Chen M, Yin S, Liu Q, Chen X, Hu J. Comparison of invisalign mandibular advancement and twin-block on upper airway and hyoid bone position improvements for skeletal class II children: a retrospective study. BMC Oral Health 2023; 23:661. [PMID: 37705022 PMCID: PMC10500932 DOI: 10.1186/s12903-023-03295-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 08/09/2023] [Indexed: 09/15/2023] Open
Abstract
BACKGROUND This study is to evaluate and compare the improvement of upper airway morphology and hyoid bone position in children with Class II mandibular retrusion treated with Invisalign mandibular advancement (MA) and Twin-Block (TB) appliances, utilizing cone beam computed tomography (CBCT). METHODS 32 children aged between 8 and 11.5 years old were included in this study, with an average age of 10.2 years old. These children were divided into two groups, MA and TB, with 16 children in each group. Changes in upper airway morphology and hyoid bone position before and after treatment were analyzed using CBCT. RESULTS (1) Changes in upper airway before and after treatment: the oropharynx volume (Or-V), the oropharynx minimum cross-sectional area (Or-mCSA), the hypopharynx volume (Hy-V), and the hypopharynx minimum cross-sectional area (Hy-mCSA) in both the MA and TB groups increased after treatment, and the differences were statistically significant (P < 0.05) compared to pre-treatment status. (2) Changes in hyoid bone position before and after treatment: The distances between H point and third cervical vertebra (H-C3), H point and pogonion (H-RGN), H point and mandibular plane (H-MP), H point and Frankfort horizontal plane (H-FH), H and S point (H-S), and H point and palatal plane (H-PP) in both the MA and TB groups increased after treatment, and the differences were statistically significant (P < 0.05). CONCLUSION Both MA and TB appliances effectively improved the structural narrowness of the upper airway and reduced respiratory resistance, thus improving breath quality. However, MA showed more effectiveness in improving the narrowest part of the hypopharynx compared to TB. Both appliances also promoted anterior downward movement of the hyoid bone, which opens the upper airway of the oropharynx and hypopharynx and helps the upper airway morphology return to normal range.
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Affiliation(s)
- Zheng Yue
- Department of Orthodontics, Kunming Medical University School and Hospital of Stomatology, Kunming, 650031, Yunnan, China
- Department of Orthodontics, Lianbang Institute of Stomatological Technology and Hospital of Stomatology, Xi'an, 710032, Shaanxi, China
| | - Zian Yi
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases and Shaanxi Key Laboratory of Stomatology, Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Xinyi Liu
- Department of Orthodontics, Kunming Medical University School and Hospital of Stomatology, Kunming, 650031, Yunnan, China
| | - Mengting Chen
- Department of Orthodontics, Kunming Medical University School and Hospital of Stomatology, Kunming, 650031, Yunnan, China
| | - Shuhui Yin
- Department of Orthodontics, Kunming Medical University School and Hospital of Stomatology, Kunming, 650031, Yunnan, China
| | - Qianqian Liu
- Department of Orthodontics, Kunming Medical University School and Hospital of Stomatology, Kunming, 650031, Yunnan, China
| | - Xuefeng Chen
- Xuefeng Dental Care, Huaian, 223000, Jiangsu, China.
| | - Jiangtian Hu
- Department of Orthodontics, Kunming Medical University School and Hospital of Stomatology, Kunming, 650031, Yunnan, China.
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Bouloukaki I, Daskalaki E, Mavroudi E, Moniaki V, Schiza SE, Tsiligianni I. A Dietary and Lifestyle Intervention Improves Treatment Adherence and Clinical Outcomes in Overweight and Obese Patients with Obstructive Sleep Apnea: A Randomized, Controlled Trial. Life (Basel) 2023; 13:1755. [PMID: 37629612 PMCID: PMC10456081 DOI: 10.3390/life13081755] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 08/01/2023] [Accepted: 08/10/2023] [Indexed: 08/27/2023] Open
Abstract
The study's objective was to assess the impact of Mediterranean diet/lifestyle interventions for weight loss on positive airway pressure (PAP) adherence, body mass index (ΒΜΙ), sleepiness, and blood pressure measurements (BP) in patients with obstructive sleep apnea (OSA). We designed a randomized, controlled trial, including overweight and obese patients with moderate to severe OSA, randomized to standard care (SCG, n = 37) or a Mediterranean diet group (MDG, n = 37). The SCG received healthy lifestyle advice, while the MDG underwent a 6-month behavioral intervention aiming to enhance weight loss and adherence to a Mediterranean diet. PAP adherence, BMI, Epworth Sleepiness Scale (ESS), and BP measurements were evaluated pre- and post-intervention. Post-intervention PAP use was higher in the MDG compared to the SCG (6.1 vs. 5.4, p = 0.02). Diet/lifestyle intervention was one of the most significant predictive factors for PAP adherence (OR = 5.458, 95% CI = 1.144-26.036, p = 0.03). The SCG demonstrated a rise in BMI, while the MDG displayed a decline (0.41 vs. -0.75, p = 0.02). The MDG also demonstrated a substantial reduction in adjusted SBP (-5.5 vs. 2.8, p = 0.014) and DBP (-4.0 vs. 2.5, p = 0.01). Ultimately, incorporating a dietary/lifestyle intervention with standard care yields superior PAP adherence, BMI, and BP measurements in contrast to standard care alone, emphasizing the advantages of dedicating more time and support within the MDG.
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Affiliation(s)
- Izolde Bouloukaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, 71500 Heraklion, Greece; (E.D.); (I.T.)
- Sleep Disorders Center, Department of Respiratory Medicine, Medical School, University of Crete, 71500 Heraklion, Greece; (E.M.); (V.M.); (S.E.S.)
| | - Eleni Daskalaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, 71500 Heraklion, Greece; (E.D.); (I.T.)
| | - Eleni Mavroudi
- Sleep Disorders Center, Department of Respiratory Medicine, Medical School, University of Crete, 71500 Heraklion, Greece; (E.M.); (V.M.); (S.E.S.)
| | - Violeta Moniaki
- Sleep Disorders Center, Department of Respiratory Medicine, Medical School, University of Crete, 71500 Heraklion, Greece; (E.M.); (V.M.); (S.E.S.)
| | - Sophia E. Schiza
- Sleep Disorders Center, Department of Respiratory Medicine, Medical School, University of Crete, 71500 Heraklion, Greece; (E.M.); (V.M.); (S.E.S.)
| | - Ioanna Tsiligianni
- Department of Social Medicine, Faculty of Medicine, University of Crete, 71500 Heraklion, Greece; (E.D.); (I.T.)
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Lee MR, Jung SM. Obstructive sleep apnea related to mental health, health-related quality of life and multimorbidity: A nationwide survey of a representative sample in Republic of Korea. PLoS One 2023; 18:e0287182. [PMID: 37319130 PMCID: PMC10270340 DOI: 10.1371/journal.pone.0287182] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 05/31/2023] [Indexed: 06/17/2023] Open
Abstract
OBJECTIVES This study assessed the effects of obstructive sleep apnea (OSA) on mental health, health-related quality of life (HRQoL), and multimorbidity in Korean adults. METHODS The study included 8030 participants from the Korea National Health and Nutrition Examination Survey Ⅷ (2019-2020). The risk of OSA was assessed using STOP-BANG questionnaire. Depression was measured using the Patient Health Questionnaire-9 (PHQ-9), and stress was measured using a questionnaire. HRQoL was determined by EuroQol 5-dimension (EQ-5D) and Health-related Quality of Life Instrument with 8 Items (HINT-8) scores. Multimorbidity was defined as the presence of 2 or more chronic diseases. A complex sample multivariate logistic regression analysis was conducted. RESULTS Participants with a high OSA risk were more likely to a have high PHQ-9 score (OR 4.31, 95% confidence interval [CI] 2.80-6.65), total depression (OR 4.07, 95% CI 2.67-6.19) stress (OR 2.33, 95% CI 1.85-2.95), lower EQ-5D (OR 2.88, 95% CI 2.00-4.15) and HINT-8 scores (OR 2.87, 95% CI 1.65-4.98), and multimorbidity (OR 2.62, 95% CI 2.01-3.41) than participants with low OSA risk. High OSA risk was significantly associated with all EQ-5D and HINT-8 items. CONCLUSIONS This study adds to the few population-based studies showing associations between mental health, HRQoL, and multimorbidity using nationwide data. OSA prevention might be helpful for good mental health, improving HRQoL, and comorbidity burdens. The results provide novel insights regarding the association between sleep apnea and multimorbidity.
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Affiliation(s)
- Mee-Ri Lee
- Department of Preventive Medicine, Soonchunhyang University College of Medicine, Cheonan-si, Chungcheongnam-do, Republic of Korea
| | - Sung Min Jung
- Department of Surgery, Inje University, Ilsan Paik Hospital, Goyang-si, Republic of Korea
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Amaral C, Carvalho C, Scaranelo A, Chapman K, Chatkin J, Ferreira I. Cannabis and sleep disorders: not ready for prime time? A qualitative scoping review. J Clin Sleep Med 2023; 19:975-990. [PMID: 36692176 PMCID: PMC10152356 DOI: 10.5664/jcsm.10428] [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: 08/16/2022] [Revised: 11/22/2022] [Accepted: 11/30/2022] [Indexed: 01/25/2023]
Abstract
STUDY OBJECTIVES To perform a qualitative scoping literature review for studies involving the effects of cannabis on sleep and sleep disorders. METHODS Two electronic databases, MEDLINE and EMBASE, searched for comprehensive published abstracted studies that involved human participants. Inclusion criteria were article of any type, published in English, a target population of cannabis users, and reported data on cannabis effect on sleep and sleep disorders. The Joanna Briggs Institute's (JBI) approach was elected as the methodology framework guidance in the scoping review process. RESULTS A total of 40 unique publications were found. The majority (82.5%) were from the Americas with 60% published in the last decade. Of the 40 studies, only 25% were randomized control trials, and the sleep outcome measurements were similar and comparable in only 20%. Cannabis users studied were reported either 73% frequent users or 27% sporadic users. The utilization of cannabis showed improved sleep (21%), worse sleep (48%), mixed results (14%), or no impact at all (17%) in the studies published in the last 5 decades. CONCLUSIONS Our findings summarize the lack of robust evidence to support the use of cannabis for sleep disorders. The varied cannabis user-related characteristics may account for the inconsistent results identified. Further studies assessing cannabis and sleep are needed to discern what works in what context, how it works, and for whom. CITATION Amaral C, Carvalho C, Scaranelo A, Chapman K, Chatkin J, Ferreira I. Cannabis and sleep disorders: not ready for prime time? A qualitative scoping review. J Clin Sleep Med. 2023;19(5):975-990.
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Affiliation(s)
- Caio Amaral
- Department of Medicine, University Centre of the Americas, São Paulo, São Paulo, Brazil
| | - Carolina Carvalho
- KITE-Toronto Rehabilitation Institute, University Health Network and Division of Physical Medicine and Rehabilitation, University of Toronto, Toronto, Ontario, Canada
| | - Anabel Scaranelo
- Medical Imaging Department, University of Toronto, Toronto, Ontario, Canada
| | - Kenneth Chapman
- Department of Medicine, Respiratory Division, University of Toronto, Toronto, Ontario, Canada
- Asthma & Airway Centre, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| | - Jose Chatkin
- Division of Respiratory Diseases, School of Medicine Pontificia Universidade Católica do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Ivone Ferreira
- Department of Medicine, Respiratory Division, University of Toronto, Toronto, Ontario, Canada
- Asthma & Airway Centre, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
- Department of Medicine, Respiratory Division of McMaster University, Hamilton, Ontario, Canada
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Bacak B, Porterfield L, Karelsky S. Multilevel Airway Obstruction Phenotypes in Adult OSA. OTO Open 2023; 7:e21. [PMID: 37359981 PMCID: PMC10288549 DOI: 10.1002/oto2.21] [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: 01/31/2022] [Revised: 11/28/2022] [Accepted: 12/02/2022] [Indexed: 06/28/2023] Open
Abstract
Objective To describe multilevel phenotypes of airway obstruction identified on drug-induced sleep endoscopy (DISE) in adults. Study Design Retrospective chart review. Setting Tertiary care center. Methods Video recordings of DISE on adult patients were retrospectively scored. A cross-correlation matrix was created to detect significant correlations between DISE findings at anatomical subsites. Three multilevel phenotypes resulted from the matrix: complete collapse at the tongue base with complete collapse at the epiglottis (T2-E2), complete circumferential obstruction at the velum with complete lateral pharyngeal wall collapse at the oropharynx (V2C-O2LPW), and incomplete collapse at the velum with complete collapse due to tonsillar hypertrophy (V0/1-O2T). The mean difference (MD) and 95% confidence interval (CI) were calculated for demographic and polysomnogram metrics of each phenotype compared to all other subjects. Results Phenotype 1 (T2-E2) (n = 88) had older ages (MD 5.784 years, CI [1.992, 9.576]), lower body mass index (BMI) (MD -1.666 kg/m2, CI [02.570, -0.762]), and smaller neck circumferences (MD -0.448 in., CI [-9.14, -0.009]) than the other phenotypes. Phenotype 2 (V2C-O2LPW) (n = 25) had higher BMIs (MD 2.813 kg/m2, CI [1.362, 4.263]), higher neck circumference (MD 0.714 in., CI [0.004, 1.424]), and higher apnea-hypopnea index (MD 8.252, CI [0.463, 16.041]). Phenotype 3 (V0/1-O2T) (n = 20) had younger ages (MD -17.697, CI [-25.215, -11.179]). Conclusion Three distinct multilevel phenotypes of obstruction were identified on DISE, suggesting different anatomic subsites collapse in a nonrandom pattern. The phenotypes appear to represent distinct patient groups and their identification may have implications in terms of pathophysiology and treatment modalities.
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Affiliation(s)
| | | | - Sveta Karelsky
- University of Rochester Medical CenterRochesterNew YorkUSA
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Šmon J, Kočar E, Pintar T, Dolenc-Grošelj L, Rozman D. Is obstructive sleep apnea a circadian rhythm disorder? J Sleep Res 2023:e13875. [PMID: 36922163 DOI: 10.1111/jsr.13875] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 02/06/2023] [Accepted: 02/28/2023] [Indexed: 03/17/2023]
Abstract
Obstructive sleep apnea is the most common sleep-related breathing disorder worldwide and remains underdiagnosed. Its multiple associated comorbidities contribute to a decreased quality of life and work performance as well as an increased risk of death. Standard treatment seems to have limited effects on cardiovascular and metabolic aspects of the disease, emphasising the need for early diagnosis and additional therapeutic approaches. Recent evidence suggests that the dysregulation of circadian rhythms, processes with endogenous rhythmicity that are adjusted to the environment through various cues, is involved in the pathogenesis of comorbidities. In patients with obstructive sleep apnea, altered circadian gene expression patterns have been demonstrated. Obstructive respiratory events may promote circadian dysregulation through the effects of sleep disturbance and intermittent hypoxia, with subsequent inflammation and disruption of neural and hormonal homeostasis. In this review, current knowledge on obstructive sleep apnea, circadian rhythm regulation, and circadian rhythm sleep disorders is summarised. Studies that connect obstructive sleep apnea to circadian rhythm abnormalities are critically evaluated. Furthermore, pathogenetic mechanisms that may underlie this association, most notably hypoxia signalling, are presented. A bidirectional relationship between obstructive sleep apnea and circadian rhythm dysregulation is proposed. Approaching obstructive sleep apnea as a circadian rhythm disorder may prove beneficial for the development of new, personalised diagnostic, therapeutic and prognostic tools. However, further studies are needed before the clinical approach to obstructive sleep apnea includes targeting the circadian system.
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Affiliation(s)
- Julija Šmon
- Institute of Clinical Neurophysiology, University Medical Centre Ljubljana, Ljubljana, Slovenia.,Centre for Functional Genomics and Bio-Chips, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Eva Kočar
- Centre for Functional Genomics and Bio-Chips, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Tadeja Pintar
- Department of Abdominal Surgery, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Leja Dolenc-Grošelj
- Institute of Clinical Neurophysiology, University Medical Centre Ljubljana, Ljubljana, Slovenia.,Department of Neurology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Damjana Rozman
- Centre for Functional Genomics and Bio-Chips, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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Kang MJ, Kang YJ, Park CS. Pneumothorax Induced by Automatic Positive Airway Pressure Therapy for Obstructive Sleep Apnea: A Rare Case Report and Review of the Literature. JOURNAL OF RHINOLOGY 2023; 30:41-44. [PMID: 39664704 PMCID: PMC11524359 DOI: 10.18787/jr.2023.00004] [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: 01/04/2023] [Revised: 02/20/2023] [Accepted: 02/22/2023] [Indexed: 04/03/2023] Open
Abstract
Positive airway pressure (PAP) therapy is known to be an effective treatment for obstructive sleep apnea (OSA) that does not generally have serious complications. However, pneumothorax following lung barotrauma with the use of PAP has rarely been reported. We recently experienced the case of a 72-year old male patient with chronic obstructive pulmonary disease who developed pneumothorax after the use of automatic PAP (APAP). After 4 months of APAP use with a pressure of 4-8 cm H2O, he complained of sudden severe dyspnea at midnight. He eventually underwent surgical repair for pneumothorax. After 4 months, continuous PAP with low pressure of 5 cm H2O was applied without any complications. In summary, we emphasize the risk of barotrauma when PAP is used by OSA patients with lung disease.
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Affiliation(s)
- Min Ju Kang
- Department of Otorhinolaryngology-Head and Neck Surgery, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yun Jin Kang
- Department of Otorhinolaryngology-Head and Neck Surgery, Yeouido St. Mary Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Chan-Soon Park
- Department of Otorhinolaryngology-Head and Neck Surgery, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
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Chen L, Bai C, Zheng Y, Wei L, Han C, Yuan N, Ji D. The association between sleep architecture, quality of life, and hypertension in patients with obstructive sleep apnea. Sleep Breath 2023; 27:191-203. [PMID: 35322331 DOI: 10.1007/s11325-022-02589-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 02/17/2022] [Accepted: 02/25/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The aim of this study was to investigate the association between hypertension and overnight polysomnography measures of sleep duration, sleep architecture, and quality of life (QoL) in patients with obstructive sleep apnea (OSA). METHODS Participants were patients suspected of having OSA with or without hypertension. All patients underwent overnight polysomnography and completed the Epworth Sleepiness Scale (ESS), Self-Rating Anxiety Scale, Self-Rating Depression Scale, and 12-item Short-Form Health Survey. RESULTS Of 128 patients (mean age 46.2 ± 12.5 years), 53% had hypertension. The average total sleep duration was 344 min (standard deviation 90) or 5.7 h and sleep efficiency was < 70%. There was no significant difference between patients with OSA with/without hypertension in total sleep duration, sleep architecture, anxiety, depression, ESS scores, or QoL. In patients with OSA, nocturnal minimum oxygen saturation was significantly negatively correlated with bodily pain and physical component summary (PCS) scores; mean nocturnal saturation was negatively correlated with bodily pain and social function; anxiety showed a significant negative correlation with role emotional; and depression was significantly negatively correlated with physical function, role physical, general health, role emotional, PCS, and mental component summary (MCS) scores. In the group with OSA and hypertension, N3 duration was negatively correlated with social function, mental health, and MCS scores. Anxiety was significantly negatively correlated with physical function, role physical, vitality, mental health, role emotional, PCS, and MCS scores. Depression was significantly negatively correlated with physical function, role physical, vitality, mental health, role emotional, PCS, and MCS scores. In patients with mild, moderate, and severe OSA, QoL was associated with depression. In mild OSA, PCS was correlated with ESS and anxiety. In moderate OSA, MCS was correlated with apnea-hypopnea index scores. In severe OSA, MCS and PCS were correlated with anxiety. CONCLUSIONS There were no significant associations between the presence of hypertension and total sleep duration, sleep architecture, or QoL in patients with OSA. However, hypertension may affect the influencing factors of QoL in patients with OSA. Further cohort studies are needed to confirm these findings.
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Affiliation(s)
- Lixia Chen
- Department of Nursing, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Chunjie Bai
- Department of Nursing, Affiliated Hospital of Inner Mongolia Minzu University, Tongliao, China
| | - Yanan Zheng
- School of Nursing, Dalian University, Dalian, China
| | - Lai Wei
- Otolaryngology Department, The Eighth Hospital of Sun Yat-Sen University, Shenzhen, China
| | - Cuihua Han
- Department of Nursing, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Na Yuan
- Emergency Center, The Second Hospital of Dalian Medical University, Dalian, China
| | - Daihong Ji
- Department of Nursing, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
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Subjective HRQoL in Patients with Sleep Apnea Syndrome Who Underwent PAP Therapy in a Rehabilitation Setting: A Longitudinal Study. J Clin Med 2023; 12:jcm12051907. [PMID: 36902694 PMCID: PMC10003755 DOI: 10.3390/jcm12051907] [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: 01/18/2023] [Revised: 02/20/2023] [Accepted: 02/25/2023] [Indexed: 03/05/2023] Open
Abstract
BACKGROUND Obstructive sleep apnea (OSA) is often associated with decreased health-related quality of life (HRQoL). The aims of this study were to evaluate HRQoL, the clinical and psychological profile of suspected or verified OSA patients, and the impact of PAP therapy at 1-year follow-up. METHODS At T0, OSA-suspected subjects underwent clinical, HRQoL, and psychological assessment. At T1, OSA patients underwent PAP therapy in a multidisciplinary rehabilitation setting. At 1 year follow-up, OSA patients were evaluated for the second time. RESULTS At T0, OSA patients (n = 283) and suspected OSA subjects (n = 187) differed for AHI, BMI, and ESS. At T0, the PAP-treatment group (n = 101) showed moderate-severe anxious (18.7%) and depressive (11.9%) symptoms. At 1 year follow-up (n = 59), the sleep breathing pattern had normalized and there was a reduction of ESS scores and anxious symptoms. There was also an improvement in HRQoL (0.6 ± 0.4 vs. 0.7 ± 0.5, p = 0.032; 70.4 ± 19.0 vs. 79.2 ± 20.3, p = 0.001) and in satisfaction with sleep quantity (52.3 ± 31.7 vs. 71.4 ± 26.2, p = 0.001), sleep quality (48.1 ± 29.7 vs. 70.9 ± 27.1, p = 0.001), mood (58.5 ± 24.9 vs. 71.0 ± 25.6, p = 0.001), and physical resistance (61.6 ± 28.4 vs. 67.8 ± 27.4, p = 0.039). CONCLUSION Considering the impact of PAP treatment on patients' psychological and HRQoL evaluations that we observed, our data are valuable for unveiling different profiles characterizing this clinical population.
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Lahaye C, Miolanne M, Farigon N, Pereira B, Dubray C, Beudin P, Greil A, Boirie Y. Enhanced pain sensitivity in obese patients with obstructive sleep apnoea syndrome is partially reverted by treatment: An exploratory study. Eur J Pain 2023; 27:624-635. [PMID: 36734594 DOI: 10.1002/ejp.2085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 01/27/2023] [Accepted: 01/29/2023] [Indexed: 02/04/2023]
Abstract
BACKGROUND Obesity is frequently associated with obstructive sleep apnoea syndrome (OSA) and chronic pain. OSA as well as continuous positive airway pressure (CPAP) treatment may modulate the pain perception threshold (PT) in patients with obesity. METHODS In this prospective, longitudinal study, all patients admitted for obesity assessment were screened for OSA by nocturnal polygraphy (SOMNOcheck® , IAH ≥10) and performed mechanical (Von Frey electronic device) and electrical (PainMatcher® ) pain tests. Those with severe OSA were retested for PT 1 month after initiation of CPAP therapy. Newly diagnosed patients with severe OSA (hypopnea apnoea index >30) have been offered to start CPAP treatment. RESULTS Among 85 patients, there were 27 OSA patients, aged between 40 ± 13.2 years with a BMI of 42 ± 7.2 kg/m2 . Severe OSA patients (N = 11) showed a lower PT than non-OSA patients (N = 58) during mechanical (177 ± 120 vs. 328 ± 136 g, p < 0.01) and electrical methods (7.4 ± 6.4 vs. 12.9 ± 6.7 stimulation duration steps; p = 0.03). In the severe OSA group (N = 7), an increased PT was observed 1 month after CPAP treatment during mechanical pain testing (298 ± 69 vs. 259 ± 68 g, p < 0.05), but not during electrical pain testing (11.5 ± 3.0 vs. 12.4 ± 3.8 stimulation duration steps, p = 0.50). CONCLUSION In patients with obesity, this exploratory study showed that the presence of an OSA is associated with a decreased PT, whereas implantation of a CPAP device tends to normalize pain perception.
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Affiliation(s)
- Clément Lahaye
- Service de gériatrie, CHU Clermont-Ferrand, Clermont-Ferrand, France.,INRAE, Unité de Nutrition Humaine, CRNH Auvergne, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Magalie Miolanne
- Service de nutrition clinique, CSO CALORIS, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Nicolas Farigon
- Service de nutrition clinique, CSO CALORIS, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Bruno Pereira
- Délégation Recherche Clinique et Innovation, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Claude Dubray
- Centre de Pharmacologie Clinique, INSERM CIC 501, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Patricia Beudin
- Service d'exploration fonctionnelle du système nerveux, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Annick Greil
- Service de pneumologie, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Yves Boirie
- INRAE, Unité de Nutrition Humaine, CRNH Auvergne, Université Clermont Auvergne, Clermont-Ferrand, France.,Service de nutrition clinique, CSO CALORIS, CHU Clermont-Ferrand, Clermont-Ferrand, France
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Vogler K, Daboul A, Obst A, Fietze I, Ewert R, Biffar R, Krüger M. Quality of life in patients with obstructive sleep apnea: Results from the study of health in Pomerania. J Sleep Res 2023; 32:e13702. [PMID: 36053870 DOI: 10.1111/jsr.13702] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/02/2022] [Accepted: 07/07/2022] [Indexed: 02/03/2023]
Abstract
Obstructive sleep apnea is known to be an overall public health problem that, among other things, increases morbidity and mortality. Risk factors as well as symptoms of this multidimensional sleep-related breathing disorder negatively affect quality of life. With our study we aimed to expose the association between obstructive sleep apnea and quality of life in the population of Pomerania, Germany. We utilized data from the population-based Study of Health in Pomerania (SHIP). Information on health status and risk factors about 4420 participants (2275 women) were gathered within the cohort SHIP-TREND, of which 1209 (559 women) underwent an overnight polysomnography and completed sleep questionnaires. The quality of life of the participants was measured using the Short-Form 12 questionnaire. For our study, an ordinal regression analysis with age, sex, body mass index and the Short-Form 12 health survey as predictors for apnea-hypopnea index was computed. The potential factors affecting quality of life are different between physical and mental dimensions of quality of life. Significant effects were found regarding age, sex, body mass index and the Short-Form 12 Mental Component Score, but not the Physical Component Score.
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Affiliation(s)
- Katharina Vogler
- Department of Prosthodontics, Gerodontolgy, and Biomaterials, University Medicine Greifswald, Greifswald, Germany
| | - Amro Daboul
- Department of Prosthodontics, Gerodontolgy, and Biomaterials, University Medicine Greifswald, Greifswald, Germany
| | - Anne Obst
- Department of Prosthodontics, Gerodontolgy, and Biomaterials, University Medicine Greifswald, Greifswald, Germany
| | - Ingo Fietze
- Interdisziplinäres Schlafmedizinisches Zentrum, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Ralf Ewert
- Department for Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Reiner Biffar
- Department of Prosthodontics, Gerodontolgy, and Biomaterials, University Medicine Greifswald, Greifswald, Germany
| | - Markus Krüger
- Department of Prosthodontics, Gerodontolgy, and Biomaterials, University Medicine Greifswald, Greifswald, Germany
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Martínez Deltoro A, Gamboa Martínez J, Soler-Cataluña JJ. Calidad de vida relacionada con la salud y adhesión terapéutica a la presión positiva continua en la vía aérea (CPAP) en pacientes con apnea obstructiva del sueño (AOS). OPEN RESPIRATORY ARCHIVES 2023. [PMID: 37497254 PMCID: PMC10369567 DOI: 10.1016/j.opresp.2022.100214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Introduction The benefits of CPAP in patients with obstructive sleep apnea (OSA) are not achieved without therapeutic adherence (TA). The perception of benefit is one of the main predictors of adherence. However, it is unknown whether the impact of CPAP on health-related quality of life (HRQoL) is related to TA. Objective 1) To evaluate whether changes in HRQoL after initiating CPAP are associated with AT. 2) To analyze the influence of various TA determinants, including baseline HRQoL. Methods Prospective observational and longitudinal study on a cohort of patients with moderate-severe OSA and indication of CPAP. Baseline and after-therapy HRQoL were evaluated using the Quebec Sleep Questionnaire (QSQ), as well as other possible AT determinants. A multivariate analysis was performed. Results A total of 364 patients (78% men) were included, with mean age of 55 ± 11 years and apnea-hypopnea index of 42 ± 19/hour. 33.3% without TA. There was no association between HRQoL changes after 3 months of CPAP and AT and between QSQ baseline score and AT. A higher ODI4%, a global improvement and social interactions (QSQ), were associated with AT. Baseline anxiety-depressive symptoms, worsening anxiety, and side effects with CPAP were associated with worse AT. Conclusions The impact of CPAP on HRQoL with respect to the perception of social interactions seems to condition TA. The basal impact of the disease, in terms of HRQoL, is not associated with AT.
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Golub IJ, Ng MK, Conway CA, Vakharia RM, Cannada LK, Kang KK. How does sleep apnea impact outcomes following primary total hip arthroplasty for femoral neck fractures: a matched-control analysis. Arch Orthop Trauma Surg 2023; 143:295-300. [PMID: 34287701 DOI: 10.1007/s00402-021-04070-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 07/11/2021] [Indexed: 02/02/2023]
Abstract
BACKGROUND Cross-sectional studies have demonstrated that the prevalence of sleep apnea (SA) to be increasing within the United States. While studies have shown the association of SA and its association on complications following elective orthopedic procedures, well-powered studies investigating its impact in a traumatic setting are limited. The purpose of this study was to determine whether SA patients undergoing primary total hip arthroplasty (THA) for femoral neck fractures have higher rates of: (1) hospital lengths of stay (LOS); (2) readmissions; (3) complications; and (4) healthcare expenditures. METHODS The 100% Medicare Standard Analytical Files was queried from 2005 to 2014 for patients who sustained femoral neck fractures and were treated with primary THA. The study group consisted of patients with concomitant diagnoses of SA, whereas patients without SA served as controls. Study group patients were matched to controls in a 1:5 ratio by age, sex, and various comorbid conditions. Demographics of the cohorts were compared using Pearson's chi-squared analyses, and multivariate logistic regression analyses were used to calculate the odds (OR) of the effects of SA on postoperative outcomes. A p value less than 0.006 was considered to be statistically significant. RESULTS The final query yielded 24,936 patients within the study (n = 4166) and control (n = 20,770) cohorts. SA patients had significantly longer in-hospital LOS (6 vs. 5 days, p < 0.0001) but similar readmission rates (24.12 vs. 20.50%; OR: 1.03, p = 0.476). SA patients had significantly higher frequency and odds of developing medical complications (72.66 vs. 43.85%; OR: 1.57, p < 0.0001), and higher healthcare costs ($22,743.79 vs. $21,572.89, p < 0.0001). CONCLUSION SA is associated with longer in-hospital LOS, higher rates of complications and healthcare expenditures. This study is vital as it can allow orthopaedists to educate patients with SA on the potential complications which may occur following their procedure. LEVEL OF EVIDENCE III.
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Affiliation(s)
- Ivan J Golub
- Department of Orthopaedic Surgery, Maimonides Medical Center, 4802 10th Avenue, Brooklyn, NY, 11219, USA
| | - Mitchell K Ng
- Department of Orthopaedic Surgery, Maimonides Medical Center, 4802 10th Avenue, Brooklyn, NY, 11219, USA
| | - Charles A Conway
- Department of Orthopaedic Surgery, Maimonides Medical Center, 4802 10th Avenue, Brooklyn, NY, 11219, USA
| | - Rushabh M Vakharia
- Department of Orthopaedic Surgery, Maimonides Medical Center, 4802 10th Avenue, Brooklyn, NY, 11219, USA.
| | | | - Kevin K Kang
- Department of Orthopaedic Surgery, Maimonides Medical Center, 4802 10th Avenue, Brooklyn, NY, 11219, USA
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Vanek J, Prasko J, Genzor S, Mizera J. The Management of Sleep Disturbances in Patients with Schizophrenia: A Case Series. Psychol Res Behav Manag 2022; 15:3673-3681. [PMID: 36544913 PMCID: PMC9762406 DOI: 10.2147/prbm.s388702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 11/28/2022] [Indexed: 12/15/2022] Open
Abstract
Patients with schizophrenia commonly encounter a variety of sleep disorders. Disturbed sleep can be found in 30-80% of patients, depending on the degree of psychotic symptomatology. Difficulty falling asleep, maintaining, or achieving restful sleep is associated with symptom severity and has been reported as a prodromal symptom of psychotic relapse. Although some sleep disorders improve with antipsychotic treatment, in many cases, even during disease remission, sleep continues to be fragmented, or even different pathophysiological mechanism is causing sleep disruption. Moreover, it may be complicated if the patient needs specific treatment, such as positive airway pressure (PAP) therapy, due to sleep-disordered breathing. The article presents case reports of patients with schizophrenia with sleep disturbances. As presented in our case reports, cognitive behavioral therapy seems effective in treating comorbid insomnia, even in patients with schizophrenia. The second and third case reports emphasise the need for broader clinical considerations, a cross-diagnostic approach, and cooperation in care for patients with severe mental disorders.
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Affiliation(s)
- Jakub Vanek
- Department of Psychiatry, University Hospital Olomouc, Faculty of Medicine, Palacky University in Olomouc, Olomouc, The Czech Republic
| | - Jan Prasko
- Department of Psychiatry, University Hospital Olomouc, Faculty of Medicine, Palacky University in Olomouc, Olomouc, The Czech Republic,Department of Psychological Sciences, Faculty of Social Science and Health Care, Constantine the Philosopher University in Nitra, Nitra, The Slovak Republic,Department of Psychotherapy, Institute for Postgraduate Training in Health Care, Prague, The Czech Republic,Rehabilitation Hospital Beroun, Jessenia Inc, Akeso Holding, Závodí, The Czech Republic,Correspondence: Jan Prasko, Department of Psychiatry, Faculty of Medicine and Dentistry, University Hospital Olomouc, I. P. Pavlova 6, Olomouc, 77900, The Czech Republic, Email
| | - Samuel Genzor
- Department of Respiratory Medicine, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Olomouc, The Czech Republic
| | - Jan Mizera
- Department of Respiratory Medicine, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Olomouc, The Czech Republic
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Patient-Reported Outcome Measurements in Patients with COPD-Obstructive Sleep Apnea Overlap Syndrome: Time for Action? J Pers Med 2022; 12:jpm12121951. [PMID: 36556172 PMCID: PMC9783659 DOI: 10.3390/jpm12121951] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 11/04/2022] [Accepted: 11/14/2022] [Indexed: 11/26/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD) and obstructive sleep apnea syndrome (OSA) are common conditions that often coexist [Overlap syndrome (OS)]. OS has important implications in the diagnosis, treatment, and patient outcome of both disorders. Patient-reported outcomes (PROs) are essential to evaluate symptoms, impact of symptoms on activities of daily living, and treatment response. The present review aims to display the potential usefulness of PROs measurements (PROMs) regarding the initial evaluation and treatment of both conditions (COPD and OSA) in OS patients. More specifically, we review PROMs regarding symptoms, mental health indices and health-related quality of life in patients with OS. These PROMs have the potential to add value to clinical research and daily practice in certain aspects that are important to patients.
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Feltner C, Wallace IF, Aymes S, Cook Middleton J, Hicks KL, Schwimmer M, Baker C, Balio CP, Moore D, Voisin CE, Jonas DE. Screening for Obstructive Sleep Apnea in Adults: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA 2022; 328:1951-1971. [PMID: 36378203 DOI: 10.1001/jama.2022.18357] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
IMPORTANCE Obstructive sleep apnea (OSA) is associated with adverse health outcomes. OBJECTIVE To review the evidence on screening for OSA in asymptomatic adults or those with unrecognized OSA symptoms to inform the US Preventive Services Task Force. DATA SOURCES PubMed/MEDLINE, Cochrane Library, Embase, and trial registries through August 23, 2021; surveillance through September 23, 2022. STUDY SELECTION English-language studies of screening test accuracy, randomized clinical trials (RCTs) of screening or treatment of OSA reporting health outcomes or harms, and systematic reviews of treatment reporting changes in blood pressure and apnea-hypopnea index (AHI) scores. DATA EXTRACTION AND SYNTHESIS Dual review of abstracts, full-text articles, and study quality. Meta-analysis of intervention trials. MAIN OUTCOMES AND MEASURES Test accuracy, excessive daytime sleepiness, sleep-related and general health-related quality of life (QOL), and harms. RESULTS Eighty-six studies were included (N = 11 051). No study directly compared screening with no screening. Screening accuracy of the Multivariable Apnea Prediction score followed by unattended home sleep testing for detecting severe OSA syndrome (AHI ≥30 and Epworth Sleepiness Scale [ESS] score >10) measured as the area under the curve in 2 studies (n = 702) was 0.80 (95% CI, 0.78 to 0.82) and 0.83 (95% CI, 0.77 to 0.90). Five studies assessing the accuracy of other screening tools were heterogeneous and results were inconsistent. Compared with inactive control, positive airway pressure was associated with a significant improvement in ESS score from baseline (pooled mean difference, -2.33 [95% CI, -2.75 to -1.90]; 47 trials; n = 7024), sleep-related QOL (standardized mean difference, 0.30 [95% CI, 0.19 to 0.42]; 17 trials; n = 3083), and general health-related QOL measured by the 36-Item Short Form Health Survey (SF-36) mental health component summary score change (pooled mean difference, 2.20 [95% CI, 0.95 to 3.44]; 15 trials; n = 2345) and SF-36 physical health component summary score change (pooled mean difference, 1.53 [95% CI, 0.29 to 2.77]; 13 trials; n = 2031). Use of mandibular advancement devices was also associated with a significantly larger ESS score change compared with controls (pooled mean difference, -1.67 [95% CI, 2.09 to -1.25]; 10 trials; n = 1540). Reporting of other health outcomes was sparse; no included trial found significant benefit associated with treatment on mortality, cardiovascular events, or motor vehicle crashes. In 3 systematic reviews, positive airway pressure was significantly associated with reduced blood pressure; however, the difference was relatively small (2-3 mm Hg). CONCLUSIONS AND RELEVANCE The accuracy and clinical utility of OSA screening tools that could be used in primary care settings were uncertain. Positive airway pressure and mandibular advancement devices reduced ESS score. Trials of positive airway pressure found modest improvement in sleep-related and general health-related QOL but have not established whether treatment reduces mortality or improves most other health outcomes.
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Affiliation(s)
- Cynthia Feltner
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center
- Department of Medicine, University of North Carolina at Chapel Hill
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill
| | - Ina F Wallace
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center
- RTI International, Research Triangle Park, North Carolina
| | - Shannon Aymes
- Department of Medicine, University of North Carolina at Chapel Hill
| | - Jennifer Cook Middleton
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill
| | - Kelli L Hicks
- Department of Otolaryngology-Head and Neck Surgery, University of North Carolina at Chapel Hill
| | - Manny Schwimmer
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center
- Department of Internal Medicine, The Ohio State University, Columbus
| | - Claire Baker
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill
| | - Casey P Balio
- Center for Rural Health Research, Department of Health Services Management and Policy, College of Public Health, East Tennessee State University, Johnson City
| | - Daniel Moore
- Department of Medicine, University of North Carolina at Chapel Hill
| | - Christiane E Voisin
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center
- Department of Internal Medicine, The Ohio State University, Columbus
| | - Daniel E Jonas
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center
- Department of Internal Medicine, The Ohio State University, Columbus
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Genzor S, Prasko J, Mizera J, Jakubec P, Sova M, Vanek J, Šurinová N, Langova K. Risk of Severe COVID-19 in Non-Adherent OSA Patients. Patient Prefer Adherence 2022; 16:3069-3079. [PMID: 36387050 PMCID: PMC9657257 DOI: 10.2147/ppa.s387657] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 10/26/2022] [Indexed: 11/10/2022] Open
Abstract
Background Patients with obstructive sleep apnoea (OSA) are at increased risk of severe course of COVID-19. Vaccination remains to be the most effective prevention of complicated courses of infection. The best contemporary conservative treatment of OSA is continuous positive airway pressure (CPAP) therapy. Purpose To compare vaccination acceptance and outcomes of COVID-19 infection between OSA patients adhering to the CPAP therapy and those who rejected CPAP and surgical therapy. Patients and Methods Subjects were divided into two groups: group A (N = 167) were individuals with sufficient CPAP adherence (more than 4 hours per night on average) over the last 10 years. Group B (N = 106) were individuals who did not use the CPAP therapy at all and had no indications to surgical therapy. Results Three patients in group B died, and one had a severe course of COVID-19. None of the patients in group A died or experienced a severe course of COVID-19. Group A had a significantly higher proportion of males (77.8% compared to 66% in group B) and all parameters of OSA severity. The vaccination status was similar among both groups, with a complete triple dose vaccination rate of 69.5% and 67.9% in groups A and B, respectively. Conclusion The results show that the patients with OSA adherent to CPAP therapy were less likely to experience a severe course of COVID-19 or death than the OSA patients non-compliant with therapy, despite the former group having more severe OSA. This result underlines the importance of adherence to CPAP therapy in OSA.
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Affiliation(s)
- Samuel Genzor
- Department of Respiratory Medicine, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, OlomoucCzech Republic
| | - Jan Prasko
- Department of Psychiatry, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, OlomoucCzech Republic
- Institute for Postgraduate Education in Health Care, PragueCzech Republic
- Department of Psychology Sciences, Faculty of Social Science and Health Care, Constantine the Philosopher University in Nitra, NitraThe Slovak Republic
| | - Jan Mizera
- Department of Respiratory Medicine, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, OlomoucCzech Republic
| | - Petr Jakubec
- Department of Respiratory Medicine, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, OlomoucCzech Republic
| | - Milan Sova
- Department of Respiratory Medicine, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, OlomoucCzech Republic
- Department of Respiratory Medicine, Faculty of Medicine and Dentistry, Masaryk University Brno and University Hospital Brno, BrnoCzech Republic
| | - Jakub Vanek
- Department of Psychiatry, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, OlomoucCzech Republic
| | | | - Katerina Langova
- Department of Biophysics, Palacky University Olomouc, OlomoucCzech Republic
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Baptista P, Di Frisco IM, Urrestarazu E, Alcalde J, Alegre M, Sanchez I, O’Connor-Reina C, Plaza G. Quality of Life Impact of Hypoglossal Nerve Stimulation with Inspire ® Device in Patients with Obstructive Sleep Apnea Intolerant to Continuous Positive Airway Pressure Therapy. Life (Basel) 2022; 12:life12111737. [PMID: 36362892 PMCID: PMC9694893 DOI: 10.3390/life12111737] [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: 10/01/2022] [Revised: 10/21/2022] [Accepted: 10/25/2022] [Indexed: 11/16/2022] Open
Abstract
Patients with obstructive sleep apnea (OSA) that do not tolerate/accept continuous positive airway pressure (CPAP) are candidates for surgical alternatives. Hypoglossal nerve stimulation (HNS) through the implantation of the Inspire® device constitutes a minimally invasive operative option. The main objective of this study is to estimate, under real-world clinical practice conditions, the 3-month impact on the quality of life (IQoL) of the HNS in patients with moderate/severe OSA who do not tolerate or accept CPAP, compared to patients who did not receive HNS. As a baseline, the unadjusted EuroQol utility index was 0.764 (SD:0.190) in the intervention group (IGr) and 0.733 (SD:0.205) in the control group (CGr); three months later, the indexes were 0.935 (SD: 0.101) and 0.727 (SD:0.200), respectively. The positive impact on quality of life was estimated to be +0.177 (95% CI: 0.044−0.310; p = 0.010). All dimensions in the IGr improved compared to CGr, especially for usual activities (p < 0.001) and anxiety/depression (p > 0.001). At the end of the follow-up, there was no significant difference in the quality of life between the general Spanish population and the IGr (difference: 0.012; CI95%: −0.03 to −0.057; p = 0.0578) for the same age range; however, there was a difference concerning the CGr (difference: −0.196; CI95%: −0.257 to −0.135; p < 0.001). In conclusion, patients with moderate/severe OSA implanted with the Inspire® device showed a positive IQoL.
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Affiliation(s)
- Peter Baptista
- Otorhinolaryngology Department, University Clinic of Navarra, 31007 Pamplona, Spain
- Correspondence: or
| | | | - Elena Urrestarazu
- Otorhinolaryngology Department, University Clinic of Navarra, 31007 Pamplona, Spain
| | - Juan Alcalde
- Otorhinolaryngology Department, University Clinic of Navarra, 31007 Pamplona, Spain
| | - Manuel Alegre
- Otorhinolaryngology Department, University Clinic of Navarra, 31007 Pamplona, Spain
| | - Isabel Sanchez
- Otorhinolaryngology Department, University Clinic of Navarra, 31007 Pamplona, Spain
| | | | - Guillermo Plaza
- Otorhinolaryngology Department, University Hospital of Fuenlabrada, University Rey Juan Carlos, 28042 Madrid, Spain
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50
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Maino G, Cremonini F, Pettinato G, Paoletto E, Lombardo L. Obstructive sleep apnoea syndrome and anatomical factors: possible correlations. Sleep Sci 2022; 15:429-435. [PMID: 36419816 PMCID: PMC9670767 DOI: 10.5935/1984-0063.20220074] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 03/05/2022] [Indexed: 07/30/2023] Open
Abstract
OBJECTIVES The following retrospective study was devised with the aim of evaluating the correlation between OSAS and various anatomical factors. MATERIAL AND METHODS Thirty-seven patients over the age of 40 were analyzed, of which 19 were classified as OSAS cases and 18 as control cases. For each, 17 anatomical variables were identified and examined using Invivo Dental software on CBCT scans, WebCeph software on laterolateral teleradiographs, and Rhinoceros 6.0 software on dental casts. RESULTS A generalized linear model of all the anatomical factors identified only two statistically significant variables. Specifically, the total volume of the palate displayed a inverse correlation with OSAS, while the distance between the S point and the Go point (S-Go) exhibited a direct correlation with the disease. CONCLUSION The likelihood of an individual having OSAS appears to decrease as the volume of the palate increases but increase as the lingual measure S-Go increases.
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Affiliation(s)
- Giovanna Maino
- University of Ferrara, Postgraduate School of Orthodontics - Ferrara -
Italy
| | - Francesca Cremonini
- University of Ferrara, Postgraduate School of Orthodontics - Ferrara -
Italy
| | - Giulia Pettinato
- University of Ferrara, Postgraduate School of Orthodontics - Ferrara -
Italy
| | - Emanuele Paoletto
- University of Ferrara, Postgraduate School of Orthodontics - Ferrara -
Italy
| | - Luca Lombardo
- University of Ferrara, Postgraduate School of Orthodontics - Ferrara -
Italy
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