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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] [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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Ghosh P, Janakiram C, Nk SV, K S, Vv A. Oral appliance therapy for the management of obstructive sleep apnea in adults: an umbrella review. JBI Evid Synth 2025:02174543-990000000-00432. [PMID: 40159944 DOI: 10.11124/jbies-23-00539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2025]
Abstract
OBJECTIVE The aim of this umbrella review was to assess the effectiveness of oral appliance therapy compared to continuous positive airway pressure (CPAP), surgery, inactive appliances/controls, exercise, or other conservative techniques in mitigating symptoms among adults diagnosed with obstructive sleep apnea. INTRODUCTION Sleep-disordered breathing encompasses a spectrum of recurrent episodes of upper airway narrowing during sleep, marked by symptoms such as snoring, heightened upper airway resistance, or obstructive sleep apnea. The management of obstructive sleep apnea involves a range of conservative and surgical approaches. Among conservative methods, oral appliances are the preferred treatment for primary snoring, mild to moderate cases, and severe cases in patients who are intolerant to CPAP. While several systematic reviews have explored the effectiveness of oral appliance therapy for obstructive sleep apnea, there has been no comprehensive evaluation or synthesis of these reviews. INCLUSION CRITERIA Systematic reviews, with or without meta-analysis, were examined to assess the effectiveness of various forms of oral appliances in treating obstructive sleep apnea. Polysomnography was employed as the method for evaluating the effectiveness of the appliance. The primary outcome of interest was the effectiveness of oral appliance therapy in reducing the apnea-hypopnea index. Secondary outcomes included the mean change in the respiratory arousal index, Epworth Sleepiness Scale scores, minimum oxygen saturation, sleep efficiency, rapid eye movement sleep, blood pressure, quality of life, patient preference, and adverse effects. METHODS A comprehensive search was conducted up to October 2023 in MEDLINE (Ovid), CINAHL (EBSCOhost), Scopus, Web of Science Core Collection, Epistemonikos, ProQuest Dissertations and Theses, Shodhganga, and the Cochrane Database of Systematic Reviews. Supplementary searches were manually performed using Google Scholar. The critical appraisal and data extraction processes were carried out independently by 2 reviewers. The extracted data were summarized using a tabular format accompanied by supporting text. The quality of evidence was evaluated utilizing the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. RESULTS This umbrella review incorporated 27 systematic reviews published between 2004 and 2022. The primary studies in these systematic reviews were published between 1996-2021. Of the 68 primary studies, 50 were published between 1996-2014 and 18 were published between 2015-2021. The corrected covered area index was 15.04%, indicating very high overlap between the primary studies included in the systematic reviews. All systematic reviews that compared oral appliances with CPAP consistently reported that CPAP was more efficacious, evidenced by a decrease in the apnea-hypopnea index, respiratory arousal index, and improved minimum oxygen saturation levels. However, patient preference favored oral appliance over CPAP. Additionally, oral appliances demonstrated improvements in subjective sleepiness scores and indices including the apnea-hypopnea index and respiratory arousal index when compared with inactive appliances/controls. The overall quality of evidence using GRADE ranged from very low to moderate. CONCLUSIONS CPAP has demonstrated greater efficacy than oral appliances in reducing the apnea-hypopnea index and respiratory arousal index while increasing minimum oxygen saturation levels, indicating significant improvements in obstructive sleep apnea and contributing to enhanced sleep quality and overall health. Despite these advantages, patient preference often leans toward oral appliances over CPAP. Compared with inactive appliances/controls, surgery, and other conservative management approaches, oral appliances have also shown efficacy in improving obstructive sleep apnea. This umbrella review reinforces CPAP as the gold standard for obstructive sleep apnea treatment, although oral appliances represent a viable alternative, particularly for patients who experience difficulties in accessing or tolerating CPAP. The majority of included systematic reviews were published over a decade ago, highlighting a research gap in this area. Therefore, future studies should focus on comparing newer treatment options for obstructive sleep apnea.
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Affiliation(s)
- Parvathy Ghosh
- Department of Orthodontics & Dentofacial Orthopedics, Amrita School of Dentistry, Amrita Vishwa Vidyapeetham University, Kochi, Kerala, India
- Amrita Centre for Evidence Based Oral Health: A JBI Centre of Excellence, Ernakulam, Kerala, India
| | - Chandrashekar Janakiram
- Department of Public Health Dentistry, Amrita School of Dentistry, Amrita Vishwa Vidyapeetham University, Kochi, Kerala, India
- Amrita Centre for Evidence Based Oral Health: A JBI Centre of Excellence, Ernakulam, Kerala, India
| | - Sapna Varma Nk
- Department of Orthodontics & Dentofacial Orthopedics, Amrita School of Dentistry, Amrita Vishwa Vidyapeetham University, Kochi, Kerala, India
| | - Sarika K
- Department of Orthodontics & Dentofacial Orthopedics, Amrita School of Dentistry, Amrita Vishwa Vidyapeetham University, Kochi, Kerala, India
| | - Ajith Vv
- Department of Orthodontics & Dentofacial Orthopedics, Amrita School of Dentistry, Amrita Vishwa Vidyapeetham University, Kochi, Kerala, India
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Lai YJ, Li CY, Tsai KL, Hung CH, Lin CY. Post-operative oropharyngeal rehabilitation suppress oxidative stress and inflammation in obstructive sleep apnea patients with transoral robotic surgery. J Formos Med Assoc 2025:S0929-6646(25)00105-6. [PMID: 40087137 DOI: 10.1016/j.jfma.2025.03.004] [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: 05/15/2024] [Revised: 09/20/2024] [Accepted: 03/03/2025] [Indexed: 03/16/2025] Open
Abstract
PURPOSE To demonstrate the effects of postoperative oropharyngeal rehabilitation on inflammatory mediators and antioxidant capacity in adults with obstructive sleep apnea. METHODS This quasi-experimental study enrolled participants without blinding between January 2020 and December 2022. Patients with obstructive sleep apnea were divided into a conservative treatment group (n = 17), surgery group (n = 23), or surgery combined with oropharyngeal rehabilitation (surgery + rehabilitation) group (n = 19). Polysomnography data and the concentration of inflammatory mediators and antioxidant capacity were determined at baseline, after 6 weeks of treatment, and after 18 weeks of treatment. RESULTS Posttreatment percent changes in the apnea-hypopnea index in rapid eye movement sleep were positively correlated with that of IL-6 (0.641, 95% CI: 0.598 to 0.685; P < 0.001). Compared with the patients in the control group, those in the surgery + rehabilitation group had significantly reduced posttreatment percent changes in IL-6 (-77.273, 95% CI: -144.580 to -9.966; P = 0.024). In addition, the concentrations of IL-6 (-3.423, 95% CI: -6.638 to -0.207; P = 0.037) and matrix metallopeptidase-9 (-20.517, 95% CI: -40.584 to -0.450; P = 0.045) significantly decreased in the surgery + rehabilitation group. The total antioxidant capacity significantly improved in the surgery + rehabilitation group compared with in the surgery-only group (0.034, 95% CI: 0.005 to 0.063; P = 0.020). CONCLUSION The results reveal that postoperative oropharyngeal rehabilitation can reduce the serum levels of inflammatory mediators and increase antioxidant capacity. The combined treatment is more effective than surgery-only or conservative treatment.
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Affiliation(s)
- Yi-Ju Lai
- Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Institute of Physical Education, Health and Leisure Studies, College of Management, National Cheng Kung University, Tainan, Taiwan; Department of Physical Therapy, Shu-Zen Junior College of Medicine and Management, Kaohsiung, Taiwan
| | - Chung-Yi Li
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan; Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan
| | - Kun-Ling Tsai
- Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Physical Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Ching-Hsia Hung
- Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Physical Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
| | - Cheng-Yu Lin
- Department of Otolaryngology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Environmental and Occupational Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
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Mini AHI, Wegner H, Lonic D, Loeffelbein DJ. Cone beam computed tomography based upper airway measurement after orthognathic surgery: a comparative evaluation of different imaging software. Sci Rep 2025; 15:6638. [PMID: 39994223 PMCID: PMC11850604 DOI: 10.1038/s41598-024-83890-7] [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: 05/16/2024] [Accepted: 12/18/2024] [Indexed: 02/26/2025] Open
Abstract
Cone-beam computed tomography (CBCT) enhances understanding of the upper airway (UA). This study compared three software products' abilities in visualizing and quantifying specific upper airway changes using CBCT. We conducted a retrospective analysis of pre- and post-operative CBCT images from 29 patients using Dolphin (Do), Romexis 5 (Ro5), and Romexis 6 (Ro6) software, focusing on alterations in oropharyngeal volume and minimum cross-sectional area as key indicators of orthognathic surgery outcomes. ANOVA analysis showed significant differences in volume measurements between Do/Ro5 (p = 0.034) and Do/Ro6 (p = 0.047), but no difference between Ro5 and Ro6 (p = 0.685). No significant differences were found in minimum cross-sectional area parameters. Despite standardized protocols, interpretation discrepancies exist between Do and Ro 5/6, possibly due to program-specific properties. Further studies on threshold value comparability are needed for data standardization. Direct comparisons of clinical data from Do, Ro5, and Ro6 are limited due to methodological disparities. Nonetheless, these programs allow reproducible and quantifiable measurements for clinical assessments of these specific airway changes following orthognathic surgery.
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Affiliation(s)
- Andreas Helmuth Iti Mini
- Polyclinic for Maxillofacial Surgery, Technical University of Munich, University Clinic Rechts der Isar, Ismaningerstr. 22, 81675, Munich, Germany.
| | - Hannes Wegner
- MCLINIC, Interdisciplinary Specialist Center, Am Schützeneck 8, 81241, Munich, Germany
| | - Daniel Lonic
- MCLINIC, Interdisciplinary Specialist Center, Am Schützeneck 8, 81241, Munich, Germany
- Department of Plastic, Hand, and Reconstructive Surgery, University of Regensburg, Regensburg University Hospital, Regensburg, Germany
| | - Denys J Loeffelbein
- Polyclinic for Maxillofacial Surgery, Technical University of Munich, University Clinic Rechts der Isar, Ismaningerstr. 22, 81675, Munich, Germany
- MCLINIC, Interdisciplinary Specialist Center, Am Schützeneck 8, 81241, Munich, Germany
- Clinic for Maxillofacial Surgery and Plastic Surgery, Helios Clinic Munich West, Steinerweg 5, 81241, Munich, Germany
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Yin H, Huang W, Yang B. Association between METS-IR index and obstructive sleep apnea: evidence from NHANES. Sci Rep 2025; 15:6654. [PMID: 39994225 PMCID: PMC11850641 DOI: 10.1038/s41598-024-84040-9] [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: 08/14/2024] [Accepted: 12/19/2024] [Indexed: 02/26/2025] Open
Abstract
Insulin resistance (IR) is strongly associated with obstructive sleep apnea (OSA). Whereas, few studies have focused on the potential association between the Metabolic Score for Insulin Resistance (METS-IR), a novel non-insulin-dependent IR index, and OSA. Subjects from the National Health and Nutrition Examination Survey (NHANES) spanning 2005-2008 and 2015-2018 were recruited. The potential relationship between METS-IR and other IR indices with OSA was explored through three logistic regression analysis models and restricted cubic spline (RCS) curves. Receiver operating characteristic (ROC) curves were used to assess the diagnostic value of these indicators for OSA. On the basis of age, sex, race, body mass index (BMI), hypertension, diabetes, and cardiovascular disease (CVD), subgroup analyses were conducted to test the robustness of the METS-IR and OSA relationship. A total of 8,306 participants were enrolled, with an OSA prevalence of 30.69%. After adjusting for potential confounders, METS-IR, the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, the triglyceride glucose Index (TyG), and the homeostatic model assessment of insulin resistance (HOMA-IR) showed positive associations with OSA prevalence. In the highest tertile of METS-IR, TG/HDL-C, TyG index, and HOMA-IR, OSA prevalence was 2.96-fold, 1.42-fold, 1.29-fold, and 1.41-fold higher, respectively, compared to the lowest tertile (METS-IR: OR = 2.96, 95% CI: 2.50, 3.52, P < 0.0001; TG/HDL-C: OR = 1.42, 95% CI: 1.17, 1.73, P < 0.001; TyG index: OR = 1.29, 95% CI: 1.07, 1.55, P = 0.008; HOMA-IR: OR = 1.41, 95% CI: 1.18, 1.69, P < 0.001). ROC analysis revealed that METS-IR had the highest diagnostic accuracy for OSA (AUC = 0.652). The positive associations between these four IR indices and OSA remain stable across most cases (P for interaction > 0.05); however, all of them show significant interactions with diabetes (P for interaction < 0.05). The METS-IR index is positively associated with the prevalence of OSA and shows superior diagnostic accuracy compared to HOMA-IR, TG/HDL-C, and TyG index.
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Affiliation(s)
- Huangyi Yin
- Geriatric Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Wei Huang
- Critical Care Medicine, The First People's Hospital of Chenzhou, Chenzhou, China
| | - Bijun Yang
- Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
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Fernandez-Vial D, Boggero I, Pasha S, Yanez-Regonesi F, Vazquez-Delgado E, Okeson J, Moreno-Hay I. Efficacy of the NOA® mandibular advancement device in the management of obstructive sleep apnea: A cohort study. Cranio 2025:1-10. [PMID: 39957250 DOI: 10.1080/08869634.2025.2461657] [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: 02/18/2025]
Abstract
OBJECTIVES To evaluate the efficacy, compliance, and side effects of the NOA® device compared to other mandibular advancement devices (MADs) in managing obstructive sleep apnea (OSA). METHODS Thirty-three participants using the NOA® device were evaluated based on apnea-hypopnea index (AHI) reduction (criterion I: >50% reduction of AHI or criterion II: residual AHI < 5 events/hour), compliance, temporomandibular disorders (TMDs), and patient-reported side effects. These data were compared to retrospective data of 59 patients receiving a different MAD. RESULTS Results showed that the NOA® device was effective in 78.8% (criterion 1) and 90.9% (criterion 2) of cases, requiring less mandibular advancement than other MADs. Participants used the device for an average of 6.94 ± 0.97 hours per night. Significant improvements were noted in morning headaches, sleep bruxism, and nocturnal urination. CONCLUSIONS The NOA® device demonstrated high efficacy, improved patient-reported outcomes, and caused no significant side effects or issues. It required less mandibular advancement than other devices and had high patient compliance.
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Affiliation(s)
| | - Ian Boggero
- Orofacial Pain, University of Kentucky College of Dentistry, Lexington, KY, USA
| | - Sara Pasha
- Internal Medicine, University of Kentucky College of Medicine, Lexington, KY, USA
| | | | | | - Jeffrey Okeson
- Orofacial Pain, University of Kentucky College of Dentistry, Lexington, KY, USA
| | - Isabel Moreno-Hay
- Orofacial Pain, University of Kentucky College of Dentistry, Lexington, KY, USA
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Hersch N, Girgis S, Marks GB, Smith F, Buchanan PR, Williamson JP, Garden F, Vedam H. The impact of obstructive sleep apnoea on post-operative outcomes. Intern Med J 2025; 55:241-248. [PMID: 39659134 DOI: 10.1111/imj.16595] [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: 11/17/2022] [Accepted: 11/17/2024] [Indexed: 12/12/2024]
Abstract
BACKGROUND Unrecognised obstructive sleep apnoea (OSA) has been associated with adverse cardiorespiratory perioperative outcomes. However, with changing anaesthetic and perioperative management, there is ongoing uncertainty about the importance of OSA as a risk factor for post-operative complications. METHODS A cohort study involving subjects undergoing elective surgery was conducted. OSA was diagnosed with a limited channel sleep monitor. In subjects undergoing routine perioperative care, complications were identified based on the assessment of the attending clinical team. The primary outcome was a composite end-point of cardiorespiratory outcomes comprising myocardial infarction, atrial fibrillation, other arrhythmias, bradycardia, need for inotropic support, unplanned intensive care unit admission, pneumonia or respiratory failure. RESULTS Four hundred seventy-two subjects were recruited, with 356 being included in the analyses; 281 (79%) had OSA and 66 (19%) had severe OSA. Subjects with OSA did not have a significantly higher incidence of complications (5.7%) compared to those without (2.7%, adjusted relative risk 1.89 (0.23-15.67)). Additionally, complications were not increased in those with severe OSA. CONCLUSIONS Unrecognised OSA was not associated with an increase in clinically evident cardiorespiratory complications in this cohort. The lower complication rates compared with earlier studies suggest that increased use of less invasive surgical techniques, improved pain management and increased awareness of OSA have had an impact in reducing postoperative complications in this group. Further research is needed to clarify the impact of severe OSA on post-operative outcomes in different surgical cohorts with varying risk profiles in order to develop optimal perioperative pathways.
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Affiliation(s)
- Nicole Hersch
- Respiratory and Sleep Medicine Department, Liverpool Hospital, Sydney, New South Wales, Australia
| | - Samira Girgis
- Respiratory and Sleep Medicine Department, Liverpool Hospital, Sydney, New South Wales, Australia
| | - Guy Barrington Marks
- Respiratory and Sleep Medicine Department, Liverpool Hospital, Sydney, New South Wales, Australia
- South Western Clinical School, University of New South Wales, Liverpool Hospital, Sydney, New South Wales, Australia
| | - Frances Smith
- Respiratory and Sleep Medicine Department, Liverpool Hospital, Sydney, New South Wales, Australia
| | - Peter R Buchanan
- Respiratory and Sleep Medicine Department, Liverpool Hospital, Sydney, New South Wales, Australia
- South Western Clinical School, University of New South Wales, Liverpool Hospital, Sydney, New South Wales, Australia
| | - Jonathan P Williamson
- Respiratory and Sleep Medicine Department, Liverpool Hospital, Sydney, New South Wales, Australia
- South Western Clinical School, University of New South Wales, Liverpool Hospital, Sydney, New South Wales, Australia
- MQHealth Respiratory and Sleep, Macquarie University Hospital, Sydney, New South Wales, Australia
| | - Frances Garden
- South Western Clinical School, University of New South Wales, Liverpool Hospital, Sydney, New South Wales, Australia
- Ingham Institute of Applied Medical Research, Sydney, New South Wales, Australia
| | - Hima Vedam
- Respiratory and Sleep Medicine Department, Liverpool Hospital, Sydney, New South Wales, Australia
- South Western Clinical School, University of New South Wales, Liverpool Hospital, Sydney, New South Wales, Australia
- Ingham Institute of Applied Medical Research, Sydney, New South Wales, Australia
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Archontogeorgis K, Nena E, Steiropoulos P. Roles of vitamins and nutrition in obstructive sleep apnea. Expert Rev Respir Med 2025; 19:145-163. [PMID: 39891370 DOI: 10.1080/17476348.2025.2462192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 01/12/2025] [Accepted: 01/30/2025] [Indexed: 02/03/2025]
Abstract
INTRODUCTION Obstructive sleep apnea (OSA) is the most common sleep-related breathing disorder, with a prevalence that rises alongside with the increasing prevalence of obesity. OSA is characterized by a low-inflammatory state and is followed by cardiovascular and metabolic sequelae. Continuous positive airway pressure (CPAP) represents the cornerstone of treatment for severe OSA. However, poor compliance with CPAP treatment renders OSA treatment a challenging venture. Weight loss and exercise are recommended as adjunctive treatment options for OSA. Several diets have proven to facilitate weight loss, and to alleviate the inflammatory status in patients with OSA. Moreover, several vitamins exhibit antioxidant properties that beneficially affect OSA pathology and reduce the risk of cardiovascular complications. AREA COVERED This narrative review aims to summarize the current knowledge regarding the effect of nutrition and vitamin deficiencies on OSA. Included were publications, relevant to the topic, with different types of design (i.e. cross-sectional studies, cohort studies, clinical trials, systematic reviews, meta-analyses, etc.) and indexed in PubMed database until 31 March 2024. EXPERT OPINION In addition to weight loss, other food components, such as proteins, carbohydrates, anti-inflammatory agents, vitamins A, B, C, D, E, and sodium, may play a beneficial role in the incidence and severity of OSA.
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Affiliation(s)
- Kostas Archontogeorgis
- Department of Pneumonology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
| | - Evangelia Nena
- Laboratory of Social Medicine, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
| | - Paschalis Steiropoulos
- Department of Pneumonology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
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Nag DS, Varghese K, Swain A, Patel R, Sahu S, Sam M. Update on the aetiopathogenesis of obstructive sleep apnea: Role of inflammatory and immune mediated mechanisms. World J Clin Cases 2024; 12:6754-6759. [PMID: 39687652 PMCID: PMC11525906 DOI: 10.12998/wjcc.v12.i35.6754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 08/19/2024] [Accepted: 09/09/2024] [Indexed: 10/24/2024] Open
Abstract
Obstructive sleep apnea (OSA) is often a lifestyle disease associated with obesity, which is rapidly evolving as a major health concern with diverse multisystemic implications. To prevent and mitigate its adverse effects and reduce its burden on society, its aetiopathogeneses must be precisely understood. Numerous studies focusing on the range of diverse anatomic, functional, and lifestyle factors have already been carried out to determine the possible contributory roles of these factors in OSA. Recently, evidence to validate the role of inflammatory pathways and immune mechanisms in the aetiopathogeneses of OSA is being developed. This allows for further research and translation of such knowledge for targeted therapeutic and preventive interventions in patients with or who are at risk of developing OSA.
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Affiliation(s)
- Deb Sanjay Nag
- Department of Anaesthesiology, Tata Main Hospital, Jamshedpur 831001, Jharkhand, India
| | - Koshy Varghese
- Department of Anaesthesiology, Tata Main Hospital, Jamshedpur 831001, Jharkhand, India
| | - Amlan Swain
- Department of Anaesthesiology, Tata Main Hospital, Jamshedpur 831001, Jharkhand, India
- Department of Anaesthesiology, Manipal Tata Medical College, Jamshedpur 831017, India
| | - Roushan Patel
- Department of Anaesthesiology, Tata Main Hospital, Jamshedpur 831001, Jharkhand, India
- Department of Anaesthesiology, Manipal Tata Medical College, Jamshedpur 831017, India
| | - Seelora Sahu
- Department of Anaesthesiology, Tata Main Hospital, Jamshedpur 831001, Jharkhand, India
- Department of Anaesthesiology, Manipal Tata Medical College, Jamshedpur 831017, India
| | - Merina Sam
- Department of Anaesthesiology, Tata Main Hospital, Jamshedpur 831001, Jharkhand, India
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Ahl M, Marcusson A, Magnusson A, Abtahi J, Sunnergren O, Ulander M. Effects of orthognathic surgery on respiratory function during sleep: A prospective longitudinal study. Orthod Craniofac Res 2024; 27:877-885. [PMID: 38940200 DOI: 10.1111/ocr.12828] [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] [Accepted: 06/17/2024] [Indexed: 06/29/2024]
Abstract
When treating patients with orthognathic surgery, there might be a risk of obstructive sleep apnoea (OSA) due to soft tissue changes in the upper airways, especially in patients treated with isolated mandibular setback or mandibular setback in combination with maxillary advancement. In the present study, we assessed respiratory function during sleep with home cardiorespiratory polygraphy in 62 patients who had not been previously been diagnosed with OSA at three times: prior to orthognathic surgery for aesthetic and functional indications, and then 3 months and 1 year after surgery. We evaluated surgical displacement based on measurements in three dimensions using pre- and post-operative computed tomography. There were only minor changes in the respiratory parameters such as the apnoea-hypopnoea index (AHI), the apnoea-hypopnoea index in the supine position (AHIsup), the oxygen saturation index (ODI) and the snore index. There was no significant correlation between surgical displacement and the AHI, AHIsup and ODI. There was a weak but significant correlation between vertical displacement of the anterior mandible and the snore index. Within the limitations of the present study, the risk for iatrogenic obstruction of the upper airways seems to be low in patients without OSA treated with orthognathic surgery.
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Affiliation(s)
- Magnus Ahl
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
- Department of Oral and Maxillofacial Surgery, The Institute for Postgraduate Dental Education, Jönköping, Sweden
| | - Agneta Marcusson
- Maxillofacial Unit, Linköping University Hospital, Linköping, Sweden
| | - Anders Magnusson
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
- Centre for Oral Health, School of Health and Welfare, Jönköping University, Jönköping, Sweden
| | - Jahan Abtahi
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
- Maxillofacial Unit, Linköping University Hospital, Linköping, Sweden
| | - Ola Sunnergren
- Ear, Nose & Throat Clinic, Region Jönköping County, Jönköping, Sweden
| | - Martin Ulander
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
- Department of Clinical Neurophysiology, Linköping University Hospital, Linköping, Sweden
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11
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Heinsberg LW, Pomer A, Cade BE, Carlson JC, Naseri T, Reupena MS, Viali S, Weeks DE, McGarvey ST, Redline S, Hawley NL. Characterization of sleep apnea among a sample of adults from Samoa. SLEEP EPIDEMIOLOGY 2024; 4:100099. [PMID: 39749350 PMCID: PMC11694763 DOI: 10.1016/j.sleepe.2024.100099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/04/2025]
Abstract
Sleep apnea is a global public health concern, but little research has examined this issue in low- and middle-income countries, including Samoa. The purpose of this study was to examine the sample prevalence and characteristics of sleep apnea using a validated home sleep apnea device (WatchPAT, Itamar) and explore factors that may influence sleep health in the Samoan setting. This study used data collected through the Soifua Manuia ("Good Health") study, which investigated the impact of the body mass index (BMI)-associated genetic variant rs373863828 in CREBRF on metabolic traits in Samoan adults (sampled to overrepresent the obesity-risk allele of interest). A total of 330 participants had sleep data available. Participants (53.3 % female) had a mean (SD) age of 52.0 (9.9) years and BMI of 35.5 (7.5) kg/m2, and 36.3 % of the sample had type 2 diabetes. Based on the 3 % and 4 % apnea hypopnea indices (AHI) and the 4 % oxygen desaturation index (ODI), descriptive analyses revealed moderate to severe sleep apnea (defined as ≥15 events/hr) in 54.9 %, 31.5 %, and 34.5 % of the sample, respectively. Sleep apnea was more severe in men (e.g., AHI 3 % ≥15 in 61.7 % of men and 48.9 % of women). Correction for non-representational sampling related to the CREBRF obesity-risk allele resulted in only slightly lower estimates. Multiple linear regression linked a higher number of events/hr to higher age, male sex, higher BMI, higher abdominal-hip circumference ratio, and geographic region of residence. Further research and an increased focus on equitable and affordable diagnosis and access to treatment are crucial to addressing sleep apnea in Samoa and globally.
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Affiliation(s)
- Lacey W. Heinsberg
- Department of Health Promotion and Development, School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alysa Pomer
- Center for Surgery and Public Health, Brigham and Women’s Hospital, Boston, MA, USA
| | - Brian E. Cade
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
| | - Jenna C. Carlson
- Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | | | | | | | - Daniel E. Weeks
- Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Stephen T. McGarvey
- International Health Institute and Department of Epidemiology, School of Public Health, and Department of Anthropology, Brown University, Providence, RI, USA
| | - Susan Redline
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
| | - Nicola L. Hawley
- Department of Chronic Disease Epidemiology, Yale University School of Public Health, New Haven, CT, USA
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12
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Beauvais L, Gillibert A, Cuvelier A, Artaud-Macari E, Melone MA. Hypoxic burden and sleep hypoventilation in obese patients. Sleep Med 2024; 124:50-57. [PMID: 39276698 DOI: 10.1016/j.sleep.2024.09.007] [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: 06/28/2024] [Revised: 08/13/2024] [Accepted: 09/07/2024] [Indexed: 09/17/2024]
Abstract
INTRODUCTION Novel biomarkers of hypoxic load have emerged, as sleep apnea-specific hypoxic burden which provides more precise assessment of intermittent hypoxemia severity. Our main objective was to assess the potential benefit of hypoxic burden to identify obesity-related sleep hypoventilation. We hypothesized that hypoxic burden may help diagnose obesity-related sleep hypoventilation better than usual sleep respiratory measures (i.e., apnea-hypopnea index (AHI), mean SpO2, time with SpO2 < 90 %). METHODS This retrospective study was conducted from June 2022 to October 2023 at the University Hospital of Rouen, France. All consecutive obese patients (BMI ≥30 kg/m2), adults, with no other respiratory or neurological diseases who underwent a polysomnography or polygraphy with concomitant capnography were included. Sleep hypoventilation was defined according to American Academy of Sleep Medicine criteria based on transcutaneous CO2 monitoring (PtcCO2). Diagnostic performance of sleep-related respiratory measures i.e., sleep apnea-specific hypoxic burden, apnea-hypopnea index (AHI), mean SpO2, time with SpO2 < 90 % was evaluated using Receiver Operating Characteristic (ROC) curves. Correlations between sleep-related respiratory measures were assessed by a Spearman correlation matrix. RESULTS Among 107 obese patients with analyzed capnography, 37 (35 %) had sleep hypoventilation. Patients were 53 ± 14 years old, mean BMI = 38 ± 6 kg/m2, mean AHI = 26.5 ± 25/h, mean hypoxic burden = 67 ± 109 %min/h, mean SpO2 = 91.5 ± 3 %, mean time with SpO2<90 % = 19.4 ± 28 %, mean PtcCO2 = 6.2 ± 0.7 kPa. A low positive correlation was found between hypoxic burden and mean PtcCO2 (r = 0.4, p < 0.001). Multivariate logistic regression model explaining sleep hypoventilation was insufficient with area under ROC curve of hypoxic burden estimated at 0.74 (95 % CI 0.65 to 0.84). CONCLUSION Hypoxic burden has low correlation with transcutaneous CO2 pressure and a low ability to diagnose obesity-related sleep hypoventilation.
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Affiliation(s)
- L Beauvais
- CHU Rouen, Department of Pulmonary, Thoracic Oncology and Respiratory Intensive Care, FR-76000 Rouen, France
| | - A Gillibert
- CHU Rouen, Department of Biostatistics, FR-76000 Rouen, France
| | - A Cuvelier
- CHU Rouen, Department of Pulmonary, Thoracic Oncology and Respiratory Intensive Care, FR-76000 Rouen, France; Normandie Univ, UNIROUEN, UR 3830 GRVHN, Rouen Institute for Research and Innovation in Biomedicine (IRIB), FR-76000 Rouen, France
| | - E Artaud-Macari
- CHU Rouen, Department of Pulmonary, Thoracic Oncology and Respiratory Intensive Care, FR-76000 Rouen, France; Normandie Univ, UNIROUEN, UR 3830 GRVHN, Rouen Institute for Research and Innovation in Biomedicine (IRIB), FR-76000 Rouen, France
| | - M-A Melone
- CHU Rouen, Department of Pulmonary, Thoracic Oncology and Respiratory Intensive Care, FR-76000 Rouen, France; Normandie Univ, UNIROUEN, UR 3830 GRVHN, Rouen Institute for Research and Innovation in Biomedicine (IRIB), FR-76000 Rouen, France.
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13
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Pan L, Li H, Guo J, Ma C, Li L, Zhan W, Chen H, Wu Y, Jiang G, Li S. Expanded gray matter atrophy with severity stages of adult comorbid insomnia and sleep apnea. Sleep Med 2024; 124:191-200. [PMID: 39321626 DOI: 10.1016/j.sleep.2024.09.027] [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: 04/16/2024] [Revised: 09/07/2024] [Accepted: 09/16/2024] [Indexed: 09/27/2024]
Abstract
OBJECTIVE To investigate gray matter volume (GMV) changes in patients with comorbid insomnia and sleep apnea (COMISA) of differing severity and relationships between GMV alterations and clinical measures. METHODS Thirty-four COMISA patients and 24 healthy controls (HC) were recruited. All patients underwent structural MRI and completed measures related to respiration, sleep, mood, and cognition. COMISA patients were further divided into a mild and moderate COMISA (MC) and a severe COMISA (SC) group. Changes in GMV of COMISA patients were investigated via VBM. The voxel-wise differences in GMV were compared between HC group and COMISA group. Analysis of covariance (ANCOVA) was performed on individual GMV maps in MC, SC, and HC groups to further investigate effects of different stages of COMISA severity on GMV. Partial correlation analysis was then performed to analyze relationships between altered GMV and clinical measures. RESULTS GMV atrophy was mainly located in the temporal lobes and fusiform gyrus in COMISA group. The post-hoc analysis of the ANCOVA revealed temporal lobes and fusiform gyrus atrophy in MC and SC groups compared to HC and the temporal lobe atrophy was expanded in SC group based on cluster size. Moreover, the SC group showed GMV atrophy of the right amygdala compared to both MC and HC groups. Partial correlation analysis revealed positive relationships between the GMV and mood-and cognitive-related measures and negative correlation between GMV and respiration measure. CONCLUSIONS Our findings showed GMV atrophy expansion from temporal lobe to limbic system (right amygdala) as severity stages increase in COMISA patients. These findings contribute to our understanding of neurobiological mechanisms underlying different stages of severity in COMISA patients.
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Affiliation(s)
- Liping Pan
- Department of Medical Imaging, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, PR China
| | - Hui Li
- People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, PR China
| | - Jiawei Guo
- People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, PR China; Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, PR China
| | - Chao Ma
- People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, PR China
| | - Liming Li
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, PR China
| | - Wenfeng Zhan
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, PR China
| | - Huiyu Chen
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, PR China; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, PR China
| | - Yuting Wu
- Department of Medical Imaging, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, PR China
| | - Guihua Jiang
- Department of Medical Imaging, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, PR China; Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, PR China; Xiamen Humanity Hospital Fujian Medical University, Xiamen, PR China.
| | - Shumei Li
- Department of Medical Imaging, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, PR China; Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, PR China.
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14
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Vakali M, Memon M, Gatzoulis M, Polkey M. Sleep disordered breathing and adult congenital heart disease. INTERNATIONAL JOURNAL OF CARDIOLOGY CONGENITAL HEART DISEASE 2024; 18:100532. [PMID: 39713231 PMCID: PMC11657728 DOI: 10.1016/j.ijcchd.2024.100532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2024] [Revised: 07/22/2024] [Accepted: 07/24/2024] [Indexed: 12/24/2024] Open
Affiliation(s)
- M. Vakali
- Royal Brompton Hospital, London, United Kingdom
| | - M. Memon
- Royal Brompton Hospital, London, United Kingdom
| | | | - M. Polkey
- Royal Brompton Hospital, London, United Kingdom
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15
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Siripajana P, Chalidapongse P, Sanguanwong N, Chaweewannakorn C. Efficacy of oropharyngeal exercises as an adjuvant therapy for obstructive sleep apnea: A randomized controlled trial. J Prosthodont Res 2024; 68:540-548. [PMID: 38296527 DOI: 10.2186/jpr.jpr_d_23_00041] [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] [Indexed: 10/18/2024]
Abstract
PURPOSE Some patients with mild-to-moderate obstructive sleep apnea (OSA) undergoing mandibular advancement device (MAD) therapy may exhibit residual sleep-breathing abnormalities. These cases require adjunctive treatment to further reduce the remaining airway inadequacy, which may affect the health and quality of life. This clinical trial was conducted since the oropharyngeal exercise, which aims to enhance the muscular function of the upper airway, combined with MAD, is unknown. We assessed the possible improvements in respiratory event parameters and lip and tongue physiological properties in patients with OSA who received oropharyngeal exercises for 2 months as an adjunct to MAD therapy. METHODS Twenty-three participants with OSA who had been using MAD but still had residual apnea-hypopnea were randomly allocated to either the oropharyngeal exercise (OE group; N=12) or the sham exercise group (N=11). Lip and tongue strength, endurance, daytime sleepiness, respiratory event index (REI), and the lowest oxygen saturation (SpO2 nadir) were determined. RESULTS Within and between the treatment groups, no significant improvement in the REI or SpO2 nadir was found. In both groups, there was a significant reduction in the Epworth Sleepiness Scale at 2 months (OE, P = 0.02; control, P = 0.02). In the OE group, lip endurance (P = 0.03), anterior tongue strength (P = 0.02), and endurance (P = 0.02) increased after 2-month of exercise, but only anterior tongue endurance increased significantly compared with the sham control (P = 0.01). CONCLUSIONS This study found that adjunctive OE to MAD showed no additive effect in treating patients with moderate OSA who had a mild residual apnea-hypopnea index following MAD treatment. However, the exercises successfully enhanced lip and anterior tongue endurance, as well as anterior tongue strength.
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Affiliation(s)
- Phenbunya Siripajana
- Department of Occlusion, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand
| | - Premthip Chalidapongse
- Division of Oral Diagnostic Science, Faculty of Dentistry, Prince of Songkla University, Songkhla, Thailand
- The Dental Department of King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Natthawan Sanguanwong
- Department of Physiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Excellence Center for Sleep Disorders, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Chayanit Chaweewannakorn
- Department of Occlusion, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand
- Avatar Biotechnologies for Oral Health and Healthy Longevity Research Unit, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand
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16
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Sun P, Liang XQ, Chen NP, Ma JH, Zhang C, Shen YE, Zhu SN, Wang DX. Impact of mini-dose dexmedetomidine supplemented analgesia on sleep structure in patients at high risk of obstructive sleep apnea: a pilot trial. Front Neurosci 2024; 18:1426729. [PMID: 39416950 PMCID: PMC11480026 DOI: 10.3389/fnins.2024.1426729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Accepted: 09/02/2024] [Indexed: 10/19/2024] Open
Abstract
Background Obstructive sleep apnea (OSA) is common in surgical patients and associated with worse perioperative outcomes. Objectives To investigate the effect of mini-dose dexmedetomidine supplemented analgesia on postoperative sleep quality pattern in patients at high risk of OSA. Design A pilot randomized, double-blind, placebo-controlled trial. Setting A tertiary university hospital in Beijing, China. Patients One hundred and fifty-two adult patients who had a STOP-Bang score ≥3 and a serum bicarbonate level ≥28 mmol/L and were scheduled for major noncardiac surgery between 29 January 2021 and 20 September 2022. Intervention After surgery, patients were provided with high-flow nasal cannula and randomized in a 1:1 ratio to receive self-controlled opioid analgesia supplemented with either mini-dose dexmedetomidine (median 0.02 μg/kg/h) or placebo. We monitored polysomnogram from 9:00 pm to 6:00 am during the first night. Main outcome measures Our primary outcome was the percentage of stage 2 non-rapid eye movement (N2) sleep. Secondary and exploratory outcomes included other postoperative sleep structure parameters, sleep-respiratory parameters, and subjective sleep quality (Richards-Campbell Sleep Questionnaire; 0-100 score range, higher score better). Results All 152 patients were included in intention-to-treat analysis; 123 patients were included in sleep structure analysis. Mini-dose dexmedetomidine supplemented analgesia increased the percentage of stage N2 sleep (median difference, 10%; 95% CI, 1 to 21%; p = 0.029); it also decreased the percentage of stage N1 sleep (median difference, -10%; 95% CI, -20% to -1%; p = 0.042). Other sleep structure and sleep-respiratory parameters did not differ significantly between the two groups. Subjective sleep quality was slightly improved with dexmedetomidine on the night of surgery, but not statistically significant (median difference, 6; 95% CI, 0 to 13; p = 0.060). Adverse events were similar between groups. Conclusion Among patients at high risk of OSA who underwent noncardiac surgery, mini-dose dexmedetomidine supplemented analgesia may improve sleep quality without increasing adverse events. Clinical trial registration Clinicaltrials.gov, identifier NCT04608331.
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Affiliation(s)
- Pei Sun
- Department of Anesthesiology, Peking University First Hospital, Beijing, China
| | - Xin-Quan Liang
- Department of Anesthesiology, Peking University First Hospital, Beijing, China
| | - Na-Ping Chen
- Department of Anesthesiology, Peking University First Hospital, Beijing, China
| | - Jia-Hui Ma
- Department of Anesthesiology, Peking University First Hospital, Beijing, China
| | - Cheng Zhang
- Department of Respiratory and Critical Medicine, Peking University First Hospital, Beijing, China
| | - Yan-E Shen
- Department of Respiratory and Critical Medicine, Peking University First Hospital, Beijing, China
| | - Sai-Nan Zhu
- Department of Biostatistics, Peking University First Hospital, Beijing, China
| | - Dong-Xin Wang
- Department of Anesthesiology, Peking University First Hospital, Beijing, China
- Outcomes Research Consortium, Houston, TX, United States
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Chen YC, Hsu PY, Su MC, Chen YL, Chang YT, Chin CH, Lin IC, Chen YM, Wang TY, Lin YY, Lee CP, Lin MC, Hsiao CC. Long non-coding RNA FKSG29 regulates oxidative stress and endothelial dysfunction in obstructive sleep apnea. Mol Cell Biochem 2024; 479:2723-2740. [PMID: 37914826 DOI: 10.1007/s11010-023-04880-3] [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: 04/06/2023] [Accepted: 10/07/2023] [Indexed: 11/03/2023]
Abstract
Altered expressions of pro-/anti-oxidant genes are known to regulate the pathophysiology of obstructive sleep apnea (OSA).We aim to explore the role of a novel long non-coding (lnc) RNA FKSG29 in the development of intermittent hypoxia with re-oxygenation (IHR)-induced endothelial dysfunction in OSA. Gene expression levels of key pro-/anti-oxidant genes, vasoactive genes, and the FKSG29 were measured in peripheral blood mononuclear cells from 12 subjects with primary snoring (PS) and 36 OSA patients. Human monocytic THP-1 cells and human umbilical vein endothelial cells (HUVEC) were used for gene knockout and double luciferase under IHR exposure. Gene expression levels of the FKSG29 lncRNA, NOX2, NOX5, and VEGFA genes were increased in OSA patients versus PS subjects, while SOD2 and VEGFB gene expressions were decreased. Subgroup analysis showed that gene expression of the miR-23a-3p, an endogenous competitive microRNA of the FKSG29, was decreased in sleep-disordered breathing patients with hypertension versus those without hypertension. In vitro IHR experiments showed that knock-down of the FKSG29 reversed IHR-induced ROS overt production, early apoptosis, up-regulations of the HIF1A/HIF2A/NOX2/NOX4/NOX5/VEGFA/VEGFB genes, and down-regulations of the VEGFB/SOD2 genes, while the protective effects of FKSG29 knock-down were abolished by miR-23a-3p knock-down. Dual-luciferase reporter assays confirmed that FKSG29 was a sponge of miR-23a-3p, which regulated IL6R directly. Immunofluorescence stain further demonstrated that FKSGH29 knock-down decreased IHR-induced uptake of oxidized low density lipoprotein and reversed IHR-induced IL6R/STAT3/GATA6/ICAM1/VCAM1 up-regulations. The findings indicate that the combined RNA interference may be a novel therapy for OSA-related endothelial dysfunction via regulating pro-/anti-oxidant imbalance or targeting miR-23a-IL6R-ICAM1/VCAM1 signaling.
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Affiliation(s)
- Yung-Che Chen
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan.
- Sleep Center, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan.
- Department of Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan.
| | - Po-Yuan Hsu
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan
| | - Mao-Chang Su
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan
- Sleep Center, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan
- Chang Gung University of Science and Technology, Chia-Yi, Taiwan
| | - Yung-Lung Chen
- Division of Cardiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan
| | - Ya-Ting Chang
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan
| | - Chien-Hung Chin
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan
- Sleep Center, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan
| | - I-Chun Lin
- Department of Pediatrics, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung City, Taiwan
| | - Yu-Mu Chen
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan
| | - Ting-Ya Wang
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan
| | - Yong-Yong Lin
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan
| | - Chiu-Ping Lee
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan
| | - Meng-Chih Lin
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan.
- Sleep Center, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan.
| | - Chang-Chun Hsiao
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan.
- Graduate Institute of Clinical Medical Sciences, Chang Gung University, Kaohsiung City, Taiwan.
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Jurel SK, Bakrolwala HA, Chand P, Singh RD, Bhujbal RB, Singh BP. Nocturnal wearing of complete dentures and obstructive sleep apnea: A meta-analysis. J Indian Prosthodont Soc 2024; 24:311-319. [PMID: 40227935 PMCID: PMC11614119 DOI: 10.4103/jips.jips_216_24] [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: 06/17/2024] [Revised: 09/05/2024] [Accepted: 09/09/2024] [Indexed: 04/16/2025] Open
Abstract
STATEMENT OF PROBLEM Improvement in outcomes of obstructive sleep apnea (OSA) could answer the question of whether nocturnal wearing of removable complete dentures is beneficial. PURPOSE To evaluate the available literature that compares nocturnal wearing of removable complete dentures or overdentures in patients diagnosed with OSA on the Apnea-Hypopnea Index (AHI), Epworth Sleepiness Scale (ESS), quality of sleep (Pittsburgh Sleep Quality Index [PSQI]) and other outcomes. METHODS Registration of the proposed protocol was done in an open-source registry. Databases (Medline, Embase, and Cochrane Central Register of Controlled Trials) were searched until August 2024. All the reports were screened by reading the abstracts and full texts by two independent reviewers and conflicts were resolved by the third reviewer in Covidence. Data extraction and risk of bias assessment as per the Risk of Bias 1.0 tool (RoB 1.0) were done in Covidence. Mean difference and risk ratios were used as effect measures for continuous and dichotomous outcomes. Statistical analysis was performed using a fixed effect model. The certainty of evidence was judged by the GRADE approach. RESULTS Out of 2428 available reports, three randomized controlled trials were included for statistical analyses involving a total of 123 participants. The pooled estimate for AHI showed no evidence of any difference with and without nocturnal wear of removable complete dentures (MD: 2.88; 95% confidence interval [CI]: 0.94 to 6.70; 246 participants). No evidence of any difference was found for PSQI (MD: 0.20; 95% CI: -0.97 to 1.37; 138 participants) and for ESS (MD: 0.20; 95% CI: -1.60 to 1.20; 138 participants). CONCLUSION The review found insufficient evidence to judge that nocturnal wearing of removable complete dentures was effective in patients with OSA measured by Apnea Hypopnea Index, PSQI, and Epworth sleepiness scale.
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Affiliation(s)
- Sunit Kumar Jurel
- Department of Prosthodontics, Faculty of Dental Sciences, King George’s Medical University, Lucknow, Uttar Pradesh, India
| | - Husbana Altaf Bakrolwala
- Department of Prosthodontics, Faculty of Dental Sciences, King George’s Medical University, Lucknow, Uttar Pradesh, India
| | - Pooran Chand
- Department of Prosthodontics, Faculty of Dental Sciences, King George’s Medical University, Lucknow, Uttar Pradesh, India
| | - Raghuwar Dayal Singh
- Department of Prosthodontics, Faculty of Dental Sciences, King George’s Medical University, Lucknow, Uttar Pradesh, India
| | - Rushikesh Bhau Bhujbal
- Department of Prosthodontics, Faculty of Dental Sciences, King George’s Medical University, Lucknow, Uttar Pradesh, India
| | - Balendra Pratap Singh
- Department of Prosthodontics, Faculty of Dental Sciences, King George’s Medical University, Lucknow, Uttar Pradesh, India
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Li J, Sun L, Zhao Y. Advances in non-coding RNA as a biomarker for obstructive sleep apnoea hypoventilation syndrome. Sleep Breath 2024; 28:1899-1908. [PMID: 39017902 DOI: 10.1007/s11325-024-03109-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 06/19/2024] [Accepted: 07/12/2024] [Indexed: 07/18/2024]
Abstract
PURPOSE Obstructive sleep apnoea hypoventilation syndrome (OSAHS) is a common sleep disorder that affects multiple body systems, which in turn is closely associated with cognitive dysfunction, diabetes mellitus, oncological cardiovascular diseases and metabolic disorders. In recent years, non-coding RNA (ncRNA) has emerged as a new opportunity for biomarker discovery. We therefore discuss the research progress and potential role of ncRNAs in obstructive sleep apnea hypoventilation syndrome. METHODS This review systematically searched relevant academic literature from PubMed, Web of Science and other databases. During the retrieval process, a combination of keywords such as "OSAHS", "ncRNA", "lncRNA", "miRAN", "circRNA" was used for search. RESULTS Circulating ncRNA has good area under the ROC curve, sensitivity and specificity in the diagnosis of OSAHS, and has the potential to become a diagnostic marker for OSAHS, while several circulating ncRNAs or circulating ncRNAs in combination with other tests such as the Obstructive Sleep Apnoea Screening Scale have a higher value of application as a test for OSAHS. Further analyses revealed that many circulating ncRNAs were significantly differentially expressed in the serum of OSAHS patients with different very severities, a potential marker for predicting the severity of OSAHS, and that the ncRNA content of patients' serum also had a significant effect during CPAP therapy, suggesting that it may have potential for therapeutic monitoring. Meanwhile, serum ncRNAs from patients have been shown to be effective in the diagnosis of OSAHS complications such as hypertension, Alzheimer's disease, acute myocardial infarction and atherosclerosis. The expression of up- or down-regulated ncRNAs can regulate different signalling pathways, which in turn affects various OSAHS complications such as pulmonary hypertension, diabetes mellitus, and cognitive dysfunction, and is expected to become a new direction for the treatment of these complications. CONCLUSIONS The changes in ncRNA expression in OSAHS patients are expected to be a novel biomarker for the diagnosis and treatment of OSAHS, and can also be used as a potential biomarker for the combination of diabetes mellitus, cardiovascular disease, respiratory disease, and cognitive dysfunction in OSAHS. It is believed that the continuous progress of ncRNA-related research is expected to promote the early detection, diagnosis and treatment of OSAHS and its complications.
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Affiliation(s)
- Jingli Li
- Kunming University of Science and Technology Affiliated The First People's Hospital of Yunnan Province, Kunming, 650500, Yunnan, China
| | - Limei Sun
- Kunming University of Science and Technology Affiliated Puer City People's Hospital, Puer, 665000, Yunnan, China
| | - Yuan Zhao
- Kunming University of Science and Technology Affiliated Puer City People's Hospital, Puer, 665000, Yunnan, China.
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Tehrani FT, Roum JH. Adaptive non-invasive ventilation treatment for sleep apnea. Healthc Technol Lett 2024; 11:283-288. [PMID: 39359684 PMCID: PMC11442129 DOI: 10.1049/htl2.12087] [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: 01/21/2024] [Revised: 04/05/2024] [Accepted: 05/14/2024] [Indexed: 10/04/2024] Open
Abstract
The purpose of this study was to investigate the effectiveness of two non-invasive mechanical ventilation (NIV) modalities to treat sleep apnea: (1) Average Volume Assured Pressure Support (AVAPS) NIV, and (2) Pressure Support (PS) NIV with Continuously Calculated Average Required Ventilation (CCARV). Two detailed (previously developed and tested) simulation models were used to assess the effectiveness of the NIV modalities. One simulated subjects without chronic obstructive pulmonary disease (COPD), and the other simulated patients with COPD. Sleep apnea was simulated in each model (COPD and Non-COPD), and the ability of each NIV modality to normalize breathing was measured. In both NIV modalities, a low level continuous positive airway pressure was used and a backup respiratory rate was added to the algorithm in order to minimize the respiratory work rate. Both modalities could help normalize breathing in response to an episode of sleep apnea within about 5 min (during which time blood gases were within safe limits). AVAPS NIV and PS NIV with CCARV have potential value to be used for treatment of sleep apnea. Clinical evaluations are needed to fully assess the effectiveness of these NIV modalities.
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Affiliation(s)
- Fleur T. Tehrani
- Department of Electrical and Computer EngineeringCalifornia State University FullertonCaliforniaUSA
| | - James H. Roum
- School of MedicineUniversity of CaliforniaIrvineCaliforniaUSA
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21
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Sun J, Jia X, Zhang Z, Yang Y, Zhai C, Zhao B, Liu Y. Role of β-adrenergic signaling and the NLRP3 inflammasome in chronic intermittent hypoxia-induced murine lung cancer progression. Respir Res 2024; 25:347. [PMID: 39342317 PMCID: PMC11439201 DOI: 10.1186/s12931-024-02969-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 09/05/2024] [Indexed: 10/01/2024] Open
Abstract
BACKGROUND Obstructive sleep apnea (OSA), characterized by chronic intermittent hypoxia (CIH), is a prevalent condition that has been associated with various forms of cancer. Although some clinical studies suggest a potential link between OSA and lung cancer, this association remains uncertain, and the underlying mechanisms are not fully understood. This study investigated the role of the catecholamine-β-adrenergic receptor (βAR) and the NLRP3 inflammasome in mediating the effects of CIH on lung cancer progression in mice. METHODS Male C57BL/6 N mice were subjected to CIH for four weeks, with Lewis lung carcinoma cells seeded subcutaneously. Propranolol (a βAR blocker) or nepicastat (an inhibitor of catecholamine production) was administered during this period. Tumor volume and tail artery blood pressure were monitored. Immunohistochemical staining and immunofluorescence staining were employed to assess protein expression of Ki-67, CD31, VEGFR2, PD-1, PD-L1, and ASC specks in tumor tissues. ELISA was used to detect catecholamine and various cytokines, while western blot assessed the expression of cyclin D1, caspase-1, and IL-1β. In vitro tube formation assay investigated angiogenesis. NLRP3 knockout mice were used to determine the mechanism of NLRP3 in CIH. RESULTS CIH led to an increase in catecholamine. Catecholamine-βAR inhibitor drugs prevented the increase in blood pressure caused by CIH. Notably, the drugs inhibited CIH-induced murine lung tumor growth, and the expression of Ki-67, cyclin D1, CD31, VEGFR2, PD-1 and PD-L1 in tumor decreased. In vitro, propranolol inhibits tube formation induced by CIH mouse serum. Moreover, CIH led to an increase in TNF-α, IL-6, IL-1β, IFN-γ and sPD-L1 levels and a decrease in IL-10 in peripheral blood, accompanied by activation of NLRP3 inflammasomes in tumor, but these effects were also stopped by drugs. In NLRP3-knockout mice, CIH-induced upregulation of PD-1/PD-L1 in tumor was inhibited. CONCLUSIONS Our study underscores the significant contribution of β-adrenergic signaling and the NLRP3 inflammasome to CIH-induced lung cancer progression. These pathways represent potential therapeutic targets for mitigating the impact of OSA on lung cancer.
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Affiliation(s)
- Jianxia Sun
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xinxiang Medical University, 88 Jiankang Road, Weihui, Henan, 453100, Henan, China
| | - Xinyun Jia
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xinxiang Medical University, 88 Jiankang Road, Weihui, Henan, 453100, Henan, China
| | - Zhiqiang Zhang
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xinxiang Medical University, 88 Jiankang Road, Weihui, Henan, 453100, Henan, China
| | - Yang Yang
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xinxiang Medical University, 88 Jiankang Road, Weihui, Henan, 453100, Henan, China
| | - Chuntao Zhai
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xinxiang Medical University, 88 Jiankang Road, Weihui, Henan, 453100, Henan, China
| | - Baosheng Zhao
- Department of Thoracic Surgery, The First Affiliated Hospital of Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, Henan, China.
| | - Yuzhen Liu
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xinxiang Medical University, 88 Jiankang Road, Weihui, Henan, 453100, Henan, China.
- Department of Thoracic Surgery, The First Affiliated Hospital of Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, Henan, China.
- Life Science Research Center, The First Affiliated Hospital of Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, Henan, China.
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Davidescu DA, Goman A, Voita-Mekeres F, Bradacs AI, Sabina Florina SF, Csep AN, Szilagyi G, Motofelea AC, Davidescu L. Assessing Cognitive Impairments in Obstructive Sleep Apnea Patients Using Montreal Cognitive Assessment (MoCA) Scores. Cureus 2024; 16:e70085. [PMID: 39371857 PMCID: PMC11456313 DOI: 10.7759/cureus.70085] [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] [Accepted: 09/24/2024] [Indexed: 10/08/2024] Open
Abstract
Obstructive Sleep Apnea (OSA) is a chronic condition associated with cognitive impairment and various comorbidities. This prospective study evaluated cognitive deficits in OSA patients and identified clinical factors affecting cognitive function. Seventy-two participants were assessed using polysomnography (PSG) and the Montreal Cognitive Assessment (MoCA). Findings revealed significantly lower MoCA scores in severe OSA patients compared to those with mild or moderate OSA. Severe OSA patients had a median MoCA score of 23.5 (20.0-25.0), indicating more significant cognitive impairment, while those with normal OSA severity had the highest median score of 28.5 (27.8-29.2). Mild and moderate OSA patients had median scores of 26.5 (21.0-28.0) and 25.0 (23.80-26.0), respectively (p < 0.008). Logistic regression showed that ex-smoking status negatively impacted MoCA scores more in the unadjusted model (p = 0.003) than in the adjusted one (p = 0.018). Forced Vital Capacity (FVC) positively correlated with MoCA scores, stronger in the unadjusted model (p < 0.001 vs. p < 0.03). Higher Oxygen Desaturation Index (ODI) correlated with higher MoCA scores while increasing Apnea-Hypopnea Index (AHI) severity correlated with lower MoCA scores in both models. A significant negative correlation was found between age and MoCA score (r = -0.473, p < 0.001), and between MoCA score and AHI (r = -0.350, p < 0.003). This study highlights the need for sensitive cognitive screening tools like MoCA in evaluating OSA patients, linking cognitive impairment closely with OSA severity and other clinical factors.
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Affiliation(s)
- Darius A Davidescu
- Pulmonology, Doctoral School of Biomedical Sciences, University of Oradea, Oradea, ROU
| | - Anca Goman
- Pulmonology, Doctoral School of Biomedical Sciences, University of Oradea, Oradea, ROU
| | | | - Aliz I Bradacs
- Health Sciences, Doctoral School of Biomedical Sciences, University of Oradea, Oradea, ROU
| | | | - Andrei N Csep
- Infectious Disease, Department of Psycho-Neuroscience and Recovery, Faculty of Medicine and Pharmacy, University of Oradea, Oradea, ROU
| | - Gheorghe Szilagyi
- Surgical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, Oradea, ROU
| | | | - Lavinia Davidescu
- Pneumology, University of Oradea, Faculty of Medicine and Pharmacy, Oradea, ROU
- Pneumology, Hospital of Pneumology, Oradea, ROU
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Liu J, Zang C, Yi M, Zhang Y. Clinical Characteristics and Treatment Efficacy for Co-Morbid Insomnia and Sleep Apnea (COMISA): Evidence from Qualitative and Quantitative Analysis. Behav Sleep Med 2024; 22:611-635. [PMID: 38519143 DOI: 10.1080/15402002.2024.2324361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/24/2024]
Abstract
OBJECTIVES A multitude of physical and mental challenges are being faced in the population with Co-morbid Insomnia and Sleep Apnea (COMISA). Unfortunately, research about clinical characteristics and management of COMISA based on quantitative evidence is lacking. METHOD Standard procedures for literature retrieval, selection and quality assessment, data extraction, analysis, and interpretation were conducted step by step. For studying the sleep characteristics, common complications and widely recognized treatment options for COMISA, Weighted Mean Difference (WMD) and Odds Ratio (OR) were applied to assess the mean and risk differences between compared groups. Outcomes included sleep health parameters and secondary impairments in physical and mental well-being. RESULTS COMISA showed worse sleep quality than OSA only by PSQI (WMD = 3.38 point) and heavier sleep fragmentation (WMD = 11.46 min) than insomnia only. Besides, COMISA patients showed a higher risk for depression (OR [95%CI] = 5.03[2.31, 10.93]) and PTSD (OR [95%CI] = 3.96[1.85, 8.46]) in comparison with OSA alone. Compared to insomnia alone, COMISA patients suffered from more than two times higher risk of cardiovascular diseases, hypertension, and diabetes. In treating COMISA patients, combining CBTI with PAP treatment can enhance the improvement of insomnia severity (ISI, WMD [95%CI] =-3.26[-4.51, -2.00] point) and sleep efficiency (WMD [95%CI] = 6.39[1.97, 10.81] %) compared to PAP alone. CONCLUSIONS Impaired sleep domains in COMISA cover sleep quality and sleep structure. Also, COMISA has a higher risk for cardiometabolic diseases and mental disorders. Combining CBTI with PAP can be a recommended treatment to relieve sleep impairments for COMISA.
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Affiliation(s)
- Jie Liu
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Chenyang Zang
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Minhan Yi
- School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Yuan Zhang
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
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Qin S, Zheng Z, Li R, Wu C, Wang W. Analyzing the Prevalence of Depression and Its Influencing Factors in Elderly Patients With Obstructive Sleep Apnea: A Machine Learning Approach. EAR, NOSE & THROAT JOURNAL 2024:1455613241271632. [PMID: 39192617 DOI: 10.1177/01455613241271632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2024] Open
Abstract
Objective: Depressive symptoms are prevalent and detrimental in elderly patients with obstructive sleep apnea (OSA). Understanding the factors influencing these symptoms is crucial. This study aims to use machine learning algorithms to identify the contributing factors in this population. Method: The National Health and Nutrition Examination Survey database provided the data for this study. The study includes elderly patients who are eligible for diagnostic evaluation for OSA. Logistic regression was used to screen their influencing factors, and random forest (RF), extreme gradient boosting (XGB), artificial neural network (ANN), and support vector machine (SVM) were utilized to 4 algorithms were used to construct depressive symptoms classification models, and the best model performance was selected for feature importance ranking. Influential factors included demographics (age, gender, education, etc.), chronic disease status (diabetes, hypertension, etc.), and laboratory findings (white blood cells, C-reactive protein, cholesterol, etc.). Result: Ultimately, we chose 1538 elderly OSA patients for the study, out of which 528 (34.4%) suffered from depressive symptoms. Logistic regression initially identified 17 influencing factors and then constructed classification models based on those 17 using RF, XGB, ANN, and SVM. We selected the best-performing SVM model [area under the curve (AUC) = 0.746] based on the AUC values of 0.73, 0.735, 0.742, and 0.746 for the 4 models. We ranked the variables in order of importance: General health status, sleep disorders, gender, frequency of urinary incontinence, liver disease, physical activity limitations, education, moisture, eosinophils, erythrocyte distribution width, and hearing loss. Conclusion: Elderly OSA patients experience a high incidence of depressive symptoms, influenced by various objective and subjective factors. The situation is troubling, and healthcare institutions and policymakers must prioritize their mental health. We should implement targeted initiatives to improve the mental health of high-risk groups in multiple dimensions.
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Affiliation(s)
- Shuhong Qin
- Guangxi University of Chinese Medicine, Nanning, Guangxi, China
| | - Zhanhang Zheng
- Guangxi University of Chinese Medicine, Nanning, Guangxi, China
| | - Ruilin Li
- Guangxi University of Chinese Medicine, Nanning, Guangxi, China
| | - Chenxingzi Wu
- Guangxi University of Chinese Medicine, Nanning, Guangxi, China
| | - Wenjuan Wang
- Guangxi University of Chinese Medicine, Nanning, Guangxi, China
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Wolsing SK, Frølund JC, Dalgård C, Hilberg O, Gantzhorn E. Telephone follow-up as a substitute for standard out-clinic follow-up in CPAP therapy for obstructive sleep apnea patients: a randomized controlled trial. Sleep Breath 2024; 28:1651-1659. [PMID: 38720151 PMCID: PMC11303568 DOI: 10.1007/s11325-024-03045-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: 12/21/2023] [Revised: 03/29/2024] [Accepted: 04/26/2024] [Indexed: 08/07/2024]
Abstract
PURPOSE This study assessed the feasibility of telephone follow-up consultations (TC) using an online data sharing and editing function (Airview™), as alternative to standard out-clinic follow-up consultations (SC) on adherence to continuous positive airway pressure (CPAP) in obstructive sleep apnea (OSA) patients. Furthermore, we investigated compliance to follow-up consultations and examined potential influencing factors, including baseline AHI (apnea-hypopnea-index), age, and distance from home to the hospital on consultation compliance. METHODS Two hundred OSA patients, with AHI ≥ 5 were randomly assigned (1:1) to receive TC or SC with follow-up after one month and 12 month of CPAP initiation. Adherence goal was defined as achieving ≥ 4 h of CPAP use daily in 70% of the days in a 365-days period. RESULTS The proportion of participants achieving CPAP adherence was non-significantly lower in the TC group compared to the SC group (TC: 30% versus SC: 36%, adjusted OR 0.84, p = 0.59). Of participants who completed the study, the TC group had a significant average of 107 min less use of CPAP compared to the SC group (p = 0.048). However, a higher proportion of participants was compliant to consultations in the TC group. The only influencing factor found was increasing baseline AHI, which might be a predictor for compliance to consultations and adherence to CPAP therapy. CONCLUSION TC might serve as substitute for SC in some part of the OSA population. If TC becomes a part of CPAP therapy management, it is important to consider patient characteristics and treatment-related issues to prevent decline in adherence.
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Affiliation(s)
- Sofie Krogh Wolsing
- Department of Medicine, Lillebaelt Hospital, Vejle Hospital, University Hospital of Southern Denmark, Beriderbakken 4, 7100, Vejle, Denmark.
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark.
| | - Jannie Christina Frølund
- Department of Medicine, Lillebaelt Hospital, Vejle Hospital, University Hospital of Southern Denmark, Beriderbakken 4, 7100, Vejle, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Christine Dalgård
- Research Unit of Clinical Pharmacology, Pharmacy and Environmental Medicine, University of Southern Denmark, Odense, Denmark
| | - Ole Hilberg
- Department of Medicine, Lillebaelt Hospital, Vejle Hospital, University Hospital of Southern Denmark, Beriderbakken 4, 7100, Vejle, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Eline Gantzhorn
- Department of Medicine, Lillebaelt Hospital, Vejle Hospital, University Hospital of Southern Denmark, Beriderbakken 4, 7100, Vejle, Denmark
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Afriyie-Mensah JS, Aryee R, Aryee G, Amaning-Kwarteng E, Kankam O. Profile of Patients With Obstructive Sleep Apnea: An Initial Experience in a Tertiary Health Facility. Cureus 2024; 16:e64169. [PMID: 39119427 PMCID: PMC11309128 DOI: 10.7759/cureus.64169] [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] [Accepted: 07/09/2024] [Indexed: 08/10/2024] Open
Abstract
Introduction Obstructive sleep apnea (OSA) is the most common sleep-related breathing disorder with increasing prevalence worldwide. The disease is, however, underdiagnosed in many resource-limited countries, especially in sub-Saharan Africa with unknown prevalence. Study aim The aim of this study was to determine the demographic and clinical characteristics, as well as measured sleep study parameters of suspected OSA patients. Methods The study was a retrospective review of the clinical characteristics and home sleep study reports of patients seen at the respiratory and sleep clinic from January 2020 to June 2022. Descriptive statistics such as means, medians, and percentages were employed to summarize the data using tables and graphs. Spearman correlation coefficient and Fisher's exact test were used to determine associations between the variables. Findings The study participants were predominantly male, and 64.7% were ≥50 years of age. Approximately 76% of the cases had moderate-to-severe OSA based on the apnea-hypopnea index (AHI) scores with a mean BMI of 38.4kg/m2 and 43.1kg/m2, respectively (p=0.013), and a mean STOP-BANG score of 5.2 and 6.2, respectively (p <0.001). There was a positive correlation between AHI scores and BMI of the patients (r=0.252, p=0.003), as well as with their STOP-BANG scores (r=0.436, p< 0.001). Oxygen desaturation index (ODI) parameters of participants also positively correlated with the AHI scores (r=0.872, p<0.001). Conclusion The proportion of patients with moderate-to-severe OSA was high. Obesity was significantly associated with AHI scores, which also positively correlated with the STOP-BANG and ODI scores. These results suggest that the burden of OSA, which is closely linked with obesity, could be underestimated in Ghana and requires epidemiological studies in the very near future to clearly define and anticipate its impact on the health economy of Ghana.
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Affiliation(s)
| | - Robert Aryee
- Cardiology, University of Ghana Medical Centre, Accra, GHA
| | - George Aryee
- Anesthesia, Korle-Bu Teaching Hospital, Accra, GHA
| | | | - Osei Kankam
- Respiratory Medicine, Conquest Hospital, East Sussex Healthcare NHS Trust, St. Leonards-on-Sea, GBR
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Li WY, Masse JF, Sériès F. Myofunctional therapy for obstructive sleep apnoea. Aust Dent J 2024; 69 Suppl 1:S63-S67. [PMID: 39930613 DOI: 10.1111/adj.13058] [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] [Accepted: 01/25/2025] [Indexed: 03/27/2025]
Abstract
Failure of upper airway muscles to develop efficient dilating forces plays a key role in the occurrence of obstructive sleep apnoea in given patients. Thus, myofunctional therapy has been developed to improve the activity/efficacy of the upper airway (UA) dilator muscles, reduce its fatigability and improve mechanical performance. Various programmes, differing in the types of daytime exercises to be completed, as well as in their duration and intensity, have been evaluated. Meta-analysis confirmed the efficacy of myofunctional therapy, with mean apnoea hypopnoea index (AHI) scores decreasing from 28.0 ± 16.2/h to 18.6 ± 13.1/h, and lowest oxygen saturation (LSAT) values improving from 83.2% ± 6.1% to 85.1% ± 7.0%. In children, MT and nasal washing may result in little to no difference in AHI. Integrating oropharyngeal exercises with the use of a smartphone application to complete and record exercise performances represents an innovative turn in the development of ambulatory MT programmes. Since adherence to therapy is a weakness in conventional OSA strategies such as CPAP, this approach to MT is promising, as evidenced by a 90% mean adherence to it after 3 months of using a smart application. There is further need to determine the most effective combination of exercise algorithms and identify the target population most likely to benefit from MT in outpatient training programmes.
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Affiliation(s)
- W-Y Li
- Institute of Respiratory Diseases, The First Hospital of China Medical University, Shenyang, China
| | - J-F Masse
- Faculté de médecine dentaire, Université Laval, Québec, Québec, Canada
| | - F Sériès
- Unité de recherche en pneumologie, Centre de recherche, Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Québec, Canada
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Xie L, Li S, Yu X, Wei Q, Yu F, Tong J. DAHOS Study: Efficacy of dapagliflozin in treating heart failure with reduced ejection fraction and obstructive sleep apnea syndrome - A 3-month, multicenter, randomized controlled clinical trial. Eur J Clin Pharmacol 2024; 80:771-780. [PMID: 38386021 DOI: 10.1007/s00228-024-03643-3] [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: 06/12/2023] [Accepted: 02/02/2024] [Indexed: 02/23/2024]
Abstract
BACKGROUND The recent discovery of new therapeutic approaches to heart failure with reduced ejection fraction (HFrEF), including sodium-glucose cotransporter-2 (SGLT-2) inhibitors, as well as improved treatment of co-morbidities has provided much needed help to HFrEF. In addition, dapagliflozin, one of the SGLT-2 inhibitors, serves as a promising candidate in treating obstructive sleep apnea (OSA) of HFrEF patients due to its likely mechanism of countering the pathophysiology of OSA of HFrEF. METHODS This 3-month multicenter, prospective, randomized controlled trial enrolled participants with left ventricular ejection fraction (LVEF) less than 40% and apnea-hypopnea index (AHI) greater than 15. Participants were randomized into two groups: the treatment group received optimized heart failure treatment and standard-dose dapagliflozin, while the control group only received optimized heart failure treatment. The primary endpoint was the difference in AHI before and after treatment between the two groups. Secondary endpoints included oxygen desaturation index (ODI), minimum oxygen saturation, longest apnea duration, inflammatory factors (CRP, IL-6), quality of life score, and LVEF. RESULTS A total of 107 patients were included in the final analysis. AHI, LVEF and other baseline data were similar for the dapagliflozin and control groups. After 12 weeks of dapagliflozin treatment, the dapagliflozin group showed significant improvements in sleep parameters including AHI, HI, longest pause time, ODI, time spent with SpO2 < 90%, and average SpO2. Meanwhile, the control group showed no significant changes in sleep parameters, but did demonstrate significant improvements in left ventricular end-diastolic diameter, LVEF, and NT-proBNP levels at 12 weeks. In the experimental group, BMI was significantly reduced, and there were improvements in ESS score, MLHFQ score, and EQ-5D-3L score, as well as significant reductions in CRP and IL-6 levels, while the CRP and IL-6 levels were not improved in the control group. The decrease in LVEF was more significant in the experimental group compared to the control group. There were no significant differences in the magnitude of the decreases between the two groups. CONCLUSIONS Dapagliflozin may be an effective treatment for heart failure complicated with OSA, and could be considered as a potential new treatment for OSA. (Trial registration www.chictr.org.cn , ChiCTR2100049834. Registered 10 August 2021).
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Affiliation(s)
- Liang Xie
- Department of Cardiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Shengnan Li
- School of Medicine, Southeast University, Nanjing, China
| | - Xiaojin Yu
- School of Medicine, Southeast University, Nanjing, China
| | - Qin Wei
- Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Fuchao Yu
- Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Jiayi Tong
- Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
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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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30
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Uzair A, Waseem M, Bin Shahid A, Bhatti NI, Arshad M, Ishaq A, Sajawal M, Toor Z, Ahmad O. Correlation Between Body Mass Index and Apnea-Hypopnea Index or Nadir Oxygen Saturation Levels in Patients With Obstructive Sleep Apnea. Cureus 2024; 16:e59066. [PMID: 38800192 PMCID: PMC11128192 DOI: 10.7759/cureus.59066] [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] [Accepted: 04/26/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND Apnea-hypopnea index (AHI) and nadir oxygen saturation (SpO2) are the indexes used to measure the severity of obstructive sleep apnea (OSA). Obesity, measured by body mass index (BMI), is one of the main contributing factors to the onset and severity of OSA in patients. This study was conducted to find the association between BMI and OSA severity indexes, mainly AHI and nadir SpO2 levels. METHODS Polysomnography reports of patients with diagnosed OSA in a teaching hospital were retrospectively reviewed. BMI, AHI, and nadir SpO2 levels were recorded from the sleep study reports of the patients. Spearman's Rho test was applied to find the correlation between BMI and AHI/nadir Spo2 levels. RESULTS A total of 167 patients were included in the study, comprising 83 males and 84 females. The Mann-Whitney U test was utilized to investigate the association between BMI and gender and age groups. The analysis revealed a significant difference in BMI between males and females, with females having a higher BMI. However, there was no significant difference in BMI among individuals in the early middle and late middle age groups. Spearman's Rho test was employed to explore the correlation between BMI and AHI/nadir SpO2 levels. The results indicated no significant correlation between BMI and AHI (p = .122) or nadir SpO2 levels (p = .239). CONCLUSION Contrary to common belief, BMI was not linked to the severity of OSA. It implies that several other factors, independent of BMI, play a role in the disease progression and severity.
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Affiliation(s)
- Ahmed Uzair
- Pulmonary Medicine, Sahiwal Medical College & Allied Teaching Hospital, Sahiwal, PAK
| | - Muhammad Waseem
- Pulmonary Medicine, Sahiwal Medical College & Allied Teaching Hospital, Sahiwal, PAK
| | - Aun Bin Shahid
- Pulmonary Medicine, Sahiwal Medical College & Allied Teaching Hospital, Sahiwal, PAK
| | - Nauman I Bhatti
- Internal Medicine, Sahiwal Medical College & Allied Teaching Hospital, Sahiwal, PAK
| | - Muhammad Arshad
- Internal Medicine, King Edward Medical University & Allied Hospital, Lahore, PAK
| | - Asher Ishaq
- Emergency Department, Pak Red Crescent Medical College & Allied Teaching Hospital, Lahore, PAK
| | - Muhammad Sajawal
- Pulmonary Medicine, Sahiwal Medical College & Allied Teaching Hospital, Sahiwal, PAK
| | - Zoha Toor
- Medical Intensive Care Unit, Mukhtar A. Shiekh Hospital, Multan, PAK
| | - Osama Ahmad
- Internal Medicine, Abwa Medical College Faisalabad, Pakistan, Faisalabad, PAK
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31
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Guo H, Liu Y, Yu X, Tian N, Liu Y, Yu D. Identifying key antioxidative stress factors regulating Nrf2 in the genioglossus with human umbilical cord mesenchymal stem-cell therapy. Sci Rep 2024; 14:5838. [PMID: 38462642 PMCID: PMC10925593 DOI: 10.1038/s41598-024-55103-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 02/20/2024] [Indexed: 03/12/2024] Open
Abstract
Intermittent hypoxia in patients with obstructive sleep apnea (OSA) hypopnea syndrome (OSAHS) is associated with pharyngeal cavity collapse during sleep. The effect of human umbilical cord mesenchymal stem cells (HUCMSCs) on OSA-induced oxidative damage in the genioglossus and whether nuclear factor erythroid 2-related factor 2 (Nrf2) or its upstream genes play a key role in this process remains unclear. This study aimed to identify the key factors responsible for oxidative damage during OSAHS through Nrf2 analysis and hypothesize the mechanism of HUCMSC therapy. We simulated OSA using an intermittent hypoxia model, observed the oxidative damage in the genioglossus and changes in Nrf2 expression during intermittent hypoxia, and administered HUCMSCs therapy. Nrf2 initially increased, then decreased, aggravating the oxidative damage in the genioglossus; Nrf2 protein content decreased during hypoxia. Using transcriptomics, we identified seven possible factors in HUCMSCs involved in ameliorating oxidative stress by Nrf2, of which DJ-1 and MEF2A, showing trends similar to Nrf2, were selected by polymerase chain reaction. HUCMSCs may reduce oxidative stress induced by intermittent hypoxia through Nrf2, and the possible upstream target genes in this process are MEF2A and DJ-1. Further studies are needed to verify these findings.
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Affiliation(s)
- Haixian Guo
- Department of Otolaryngology Head and Neck Surgery, The Second Hospital of Jilin University, 4026 Yatai Street, Changchun, 130041, Jilin Province, China
| | - Yue Liu
- Department of Otolaryngology Head and Neck Surgery, The Second Hospital of Jilin University, 4026 Yatai Street, Changchun, 130041, Jilin Province, China
| | - Xinlu Yu
- Department of Otolaryngology Head and Neck Surgery, The Second Hospital of Jilin University, 4026 Yatai Street, Changchun, 130041, Jilin Province, China
| | - Na Tian
- Jilin Tuohua Biotechnology Co., LTD, Tiedong District, Siping, 136000, Jilin Province, China
| | - Yan Liu
- Department of Otolaryngology Head and Neck Surgery, The Second Hospital of Jilin University, 4026 Yatai Street, Changchun, 130041, Jilin Province, China.
| | - Dan Yu
- Department of Otolaryngology Head and Neck Surgery, The Second Hospital of Jilin University, 4026 Yatai Street, Changchun, 130041, Jilin Province, China.
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32
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Fuller MC, Carlson S, Pysick H, Berry V, Tondryk A, Swartz H, Cornett EM, Kaye AM, Viswanath O, Urits I, Kaye AD. A Comprehensive Review of Solriamfetol to Treat Excessive Daytime Sleepiness. PSYCHOPHARMACOLOGY BULLETIN 2024; 54:65-86. [PMID: 38449471 PMCID: PMC10913864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
Purpose of Review This is a comprehensive review of the literature regarding the use of Solriamfetol for excessive daytime sleepiness. It covers the background and current therapeutic approaches to treating excessive daytime sleepiness, the management of common comorbidities, and the existing evidence investigating the use of Solriamfetol for this purpose. Recent Findings Excessive daytime sleepiness leads to worse quality of life, a medical sequela and significant economic cost. There are multiple phenotypes of excessive daytime sleepiness depending on the comorbidity making treatment challenging. Due to the complexity of etiology there is not a cure for this ailment. Solriamfetol is a norepinephrine/dopamine dual reuptake antagonist that can be used to manage daytime sleepiness. Solriamfetol was first approved by the FDA in 2018 for use in excessive daytime sleepiness associated with obstructive sleep apnea and narcolepsy. Ongoing literature has proved this drug to be a safe and effective alternative pharmacotherapy. Summary Recent epidemiological data estimate up to one-third of the general adult population suffers from excessive daytime sleepiness. There is no cure to daytime somnolence and current pharmacotherapeutic regimens have worrisome side effect profiles. Solriamfetol is a new class of drug that offers a safe and effective alternative option for clinical providers treating excessive daytime sleepiness.
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Affiliation(s)
- Mitchell C Fuller
- Fuller, MD, Dartmouth School of Medicine, Department of Anesthesiology, Hanover, NH
| | - Samuel Carlson
- Carlson, MD, University of Iowa, Department of Surgery, Iowa City, IA
| | - Haley Pysick
- Pysick, MD, University of Iowa, Department of Internal Medicine, Iowa City, IA
| | - Vince Berry
- Berry, MD, University of Chicago, Department of Anesthesiology, Chicago, IL
| | - Andrew Tondryk
- Tondryk, MD, University of New Mexico, Department of Internal Medicine, Albuquerque, NM
| | - Hayden Swartz
- Swartz, MD, Mayo Clinic College of Medicine, Department of Radiology, Rochester, MN
| | - Elyse M Cornett
- Cornett, PhD, Louisiana State University Shreveport, Department of Anesthesiology, Shreveport LA
| | - Adam M Kaye
- Kaye, Pharm D, Thomas J. Long School of Pharmacy and Health Sciences, University of the Pacific, Department of Pharmacy Practice, Stockton, AM
| | - Omar Viswanath
- Viswanath, MD, Louisiana State University Shreveport, Department of Anesthesiology, Shreveport LA; University of Arizona College of Medicine-Phoenix, Department of Anesthesiology, Phoenix, AZ; Valley Anesthesiology and Pain Consultants-Envision Physician Services, Phoenix, AZ; Creighton University School of Medicine, Department of Anesthesiology, Omaha, NE
| | - Ivan Urits
- Urits, MD, Louisiana State University Shreveport, Department of Anesthesiology, Shreveport LA
| | - Alan D Kaye
- Kaye, MD, PhD, Louisiana State University Shreveport, Department of Anesthesiology, Shreveport LA
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Osman AM, Toson B, Naik GR, Mukherjee S, Delbeck M, Hahn M, Muller T, Weimann G, Eckert DJ. A novel TASK channel antagonist nasal spray reduces sleep apnea severity in physiological responders: a randomized, blinded, trial. Am J Physiol Heart Circ Physiol 2024; 326:H715-H723. [PMID: 38214905 DOI: 10.1152/ajpheart.00541.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 12/25/2023] [Accepted: 12/28/2023] [Indexed: 01/13/2024]
Abstract
Preclinical and human physiological studies indicate that topical, selective TASK 1/3 K+ channel antagonism increases upper airway dilator muscle activity and reduces pharyngeal collapsibility during anesthesia and nasal breathing during sleep. The primary aim of this study was to determine the effects of BAY2586116 nasal spray on obstructive sleep apnea (OSA) severity and whether individual responses vary according to differences in physiological responses and route of breathing. Ten people (5 females) with OSA [apnea-hypopnea index (AHI) = 47 ± 26 events/h (means ± SD)] who completed previous sleep physiology studies with BAY2586116 were invited to return for three polysomnography studies to quantify OSA severity. In random order, participants received either placebo nasal spray (saline), BAY2586116 nasal spray (160 µg), or BAY2586116 nasal spray (160 µg) restricted to nasal breathing (chinstrap or mouth tape). Physiological responders were defined a priori as those who had improved upper airway collapsibility (critical closing pressure ≥2 cmH2O) with BAY2586116 nasal spray (NCT04236440). There was no systematic change in apnea-hypopnea index (AHI3) from placebo versus BAY2586116 with either unrestricted or nasal-only breathing versus placebo (47 ± 26 vs. 43 ± 27 vs. 53 ± 33 events/h, P = 0.15). However, BAY2586116 (unrestricted breathing) reduced OSA severity in physiological responders compared with placebo (e.g., AHI3 = 28 ± 11 vs. 36 ± 12 events/h, P = 0.03 and ODI3 = 18 ± 10 vs. 28 ± 12 events/h, P = 0.02). Morning blood pressure was also lower in physiological responders after BAY2586116 versus placebo (e.g., systolic blood pressure = 137 ± 24 vs. 147 ± 21 mmHg, P < 0.01). In conclusion, BAY2586116 reduces OSA severity during sleep in people who demonstrate physiological improvement in upper airway collapsibility. These findings highlight the therapeutic potential of this novel pharmacotherapy target in selected individuals.NEW & NOTEWORTHY Preclinical findings in pigs and humans indicate that blocking potassium channels in the upper airway with topical nasal application increases pharyngeal dilator muscle activity and reduces upper airway collapsibility. In this study, BAY2586116 nasal spray (potassium channel blocker) reduced sleep apnea severity in those who had physiological improvement in upper airway collapsibility. BAY2586116 lowered the next morning's blood pressure. These findings highlight the potential for this novel therapeutic approach to improve sleep apnea in certain people.
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Affiliation(s)
- Amal M Osman
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Barbara Toson
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Ganesh R Naik
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Sutapa Mukherjee
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
- Respiratory and Sleep Service, Southern Adelaide Local Health Network, SA Health, Adelaide, South Australia, Australia
| | - Martina Delbeck
- Research & Development, Bayer AG, Pharmaceuticals, Wuppertal, Germany
| | - Michael Hahn
- Research & Development, Bayer AG, Pharmaceuticals, Wuppertal, Germany
| | - Thomas Muller
- Research & Development, Bayer AG, Pharmaceuticals, Wuppertal, Germany
| | - Gerrit Weimann
- Research & Development, Bayer AG, Pharmaceuticals, Wuppertal, Germany
| | - Danny J Eckert
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
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Degerli MA, Koehler U, Kesper K, Hildebrandt O, Conradt R, Koehler N, Stenger M, Hildebrandt W, Sambale J. [The upper airway in obstructive sleep apnea patients is pathological even when awake]. Pneumologie 2024; 78:191-198. [PMID: 37647916 DOI: 10.1055/a-2142-7701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Obstructive sleep apnea (OSA) is characterized by partial or complete obstruction of the pharyngeal airway. Anatomical factors can be distinguished from non-anatomical factors. Age and obesity are the main risk factors for OSA; however, approximately 50% of patients are not obese. In older patients (>60 years), the importance of obesity decreases. There is an increased prevalence of OSA among patients with normal weight. The effects of chronic intermittent hypoxemia, low-grade inflammation, increased sympathetic tone and mechanical stress contribute to a transformation of muscle fibers in the upper airway, resulting in reduced muscle mass and strength. Less frequently encountered non-anatomical factors include decreased muscle tone, increased arousal threshold, and altered sensitivity of CO2 chemoreceptors.
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Affiliation(s)
| | - Ulrich Koehler
- Pneumologie, Philipps-Universität Marburg, Marburg, Deutschland
| | - Karl Kesper
- Pneumologie, Philipps-Universität Marburg, Marburg, Deutschland
| | | | - Regina Conradt
- Fachbereich Gesundheit, Technische Hochschule Mittelhessen, Gießen, Deutschland
| | | | - Manuel Stenger
- Fachbereich Gesundheit, Technische Hochschule Mittelhessen, Gießen, Deutschland
| | - Wulf Hildebrandt
- Institut für Anatomie und Zellbiologie, Philipps-Universität Marburg, Marburg, Deutschland
| | - Janine Sambale
- Kieferorthopädie, Philipps-Universitat Marburg, Marburg, Deutschland
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35
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Liu J, Yang X, Li G, Liu P. Pharmacological interventions for the treatment of obstructive sleep apnea syndrome. Front Med (Lausanne) 2024; 11:1359461. [PMID: 38495117 PMCID: PMC10943699 DOI: 10.3389/fmed.2024.1359461] [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: 12/21/2023] [Accepted: 02/22/2024] [Indexed: 03/19/2024] Open
Abstract
Obstructive Sleep Apnea Syndrome (OSAS) affects 13-33% of males and 6-9% of females globally and poses significant treatment challenges, including poor adherence to Continuous Positive Airway Pressure (CPAP) and residual excessive sleepiness (RES). This review aims to elucidate the emerging interest in pharmacological treatments for OSAS, focusing on recent advancements in this area. A thorough analysis of extensive clinical trials involving various drugs, including selective dopamine reuptake inhibitors, selective norepinephrine inhibitors, combined antimuscarinic agents, and orexin agonists, was conducted. These trials focused on ameliorating respiratory metrics and enhancing sleep quality in individuals affected by OSAS. The studied pharmacological agents showed potential in improving primary outcomes, notably the apnea-hypopnea index (AHI) and the Epworth sleepiness scale (ESS). These improvements suggest enhanced sleep quality and symptom management in OSAS patients. With a deeper understanding of OSAS, pharmacological interventions are emerging as a promising direction for its effective management. This review provides a comprehensive overview of the current state of drug research in OSAS, highlighting the potential of these treatments in addressing the disorder's complex challenges.
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Affiliation(s)
- Jin Liu
- Department of Central Hospital of Tujia and Miao Autonomous Prefecture, Hubei University of Medicine, Shiyan, China
| | - Xiaolan Yang
- Department of Pediatrics, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi City, China
| | - Guangcai Li
- Department of Respiratory and Critical Care Medicine, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi City, China
| | - Peijun Liu
- Department of Respiratory and Critical Care Medicine, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi City, China
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Jafarimehrabady N, Scribante A, Defabianis P, Merlati G, Vitale MC. A Systematic Review of Oral Modifications Caused by the Prolonged Application of Continuous Positive Airway Pressure (CPAP) and Intraoral Appliances in Patients with Obstructive Sleep Apnea (OSA). BIOMED RESEARCH INTERNATIONAL 2024; 2024:9361528. [PMID: 38435538 PMCID: PMC10907106 DOI: 10.1155/2024/9361528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/03/2023] [Accepted: 01/30/2024] [Indexed: 03/05/2024]
Abstract
Objective Prolonged use of oral devices as a substitute for traditional treatments has been studied in relation to the dental and skeletal changes associated with obstructive sleep apnea syndrome (OSA), which is a sleep-breathing disorder. Materials and Methods A review of articles indexed in PubMed, Google Scholar, Cochrane Library, Scopus, Web of Sciences, and CINHAL databases in September 2022 based on MeSH-based keywords with "dental and skeletal" and "oral appliance" and "obstructive sleep apnea" was examined to ensure that the keywords alone or cross-linked, depending on which base of the searched data, were used. 16 articles out of 289 articles were included in the research, and 273 articles were excluded due to lack of study. Conclusions CPAP treatment has limited dental or skeletal effects in short-term or long-term use. OAs and MADs show significant dental changes with prolonged use. MAS and TSD are more effective in short-term goals than CPAP. OAs' increase may cause dental and skeletal changes. MPD shows notable cephalometric alterations.
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Affiliation(s)
- Niloofar Jafarimehrabady
- Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, Section of Dentistry, Unit of Orthodontics and Pediatric Dentistry, University of Pavia, Pavia, Italy
| | - Andrea Scribante
- Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, Section of Dentistry, Unit of Orthodontics and Pediatric Dentistry, University of Pavia, Pavia, Italy
| | - Patrizia Defabianis
- Department of Surgical Sciences, C.I.R. Dental School-Section of Pediatric Dentistry, University of Turin, Turin, Italy
| | - Giuseppe Merlati
- Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, Section of Dentistry, Unit of Orthodontics and Pediatric Dentistry, University of Pavia, Pavia, Italy
| | - Marina Consuelo Vitale
- Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, Section of Dentistry, Unit of Orthodontics and Pediatric Dentistry, University of Pavia, Pavia, Italy
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Alemany M. The Metabolic Syndrome, a Human Disease. Int J Mol Sci 2024; 25:2251. [PMID: 38396928 PMCID: PMC10888680 DOI: 10.3390/ijms25042251] [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: 12/01/2023] [Revised: 01/29/2024] [Accepted: 01/31/2024] [Indexed: 02/25/2024] Open
Abstract
This review focuses on the question of metabolic syndrome (MS) being a complex, but essentially monophyletic, galaxy of associated diseases/disorders, or just a syndrome of related but rather independent pathologies. The human nature of MS (its exceptionality in Nature and its close interdependence with human action and evolution) is presented and discussed. The text also describes the close interdependence of its components, with special emphasis on the description of their interrelations (including their syndromic development and recruitment), as well as their consequences upon energy handling and partition. The main theories on MS's origin and development are presented in relation to hepatic steatosis, type 2 diabetes, and obesity, but encompass most of the MS components described so far. The differential effects of sex and its biological consequences are considered under the light of human social needs and evolution, which are also directly related to MS epidemiology, severity, and relations with senescence. The triggering and maintenance factors of MS are discussed, with especial emphasis on inflammation, a complex process affecting different levels of organization and which is a critical element for MS development. Inflammation is also related to the operation of connective tissue (including the adipose organ) and the widely studied and acknowledged influence of diet. The role of diet composition, including the transcendence of the anaplerotic maintenance of the Krebs cycle from dietary amino acid supply (and its timing), is developed in the context of testosterone and β-estradiol control of the insulin-glycaemia hepatic core system of carbohydrate-triacylglycerol energy handling. The high probability of MS acting as a unique complex biological control system (essentially monophyletic) is presented, together with additional perspectives/considerations on the treatment of this 'very' human disease.
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Affiliation(s)
- Marià Alemany
- Faculty of Biology, Universitat de Barcelona, 08028 Barcelona, Catalonia, Spain
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Aung O, Amorim MR, Mendelowitz D, Polotsky VY. Revisiting the Role of Serotonin in Sleep-Disordered Breathing. Int J Mol Sci 2024; 25:1483. [PMID: 38338762 PMCID: PMC10855456 DOI: 10.3390/ijms25031483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 01/22/2024] [Accepted: 01/24/2024] [Indexed: 02/12/2024] Open
Abstract
Serotonin or 5-hydroxytryptamine (5-HT) is a ubiquitous neuro-modulator-transmitter that acts in the central nervous system, playing a major role in the control of breathing and other physiological functions. The midbrain, pons, and medulla regions contain several serotonergic nuclei with distinct physiological roles, including regulating the hypercapnic ventilatory response, upper airway patency, and sleep-wake states. Obesity is a major risk factor in the development of sleep-disordered breathing (SDB), such as obstructive sleep apnea (OSA), recurrent closure of the upper airway during sleep, and obesity hypoventilation syndrome (OHS), a condition characterized by daytime hypercapnia and hypoventilation during sleep. Approximately 936 million adults have OSA, and 32 million have OHS worldwide. 5-HT acts on 5-HT receptor subtypes that modulate neural control of breathing and upper airway patency. This article reviews the role of 5-HT in SDB and the current advances in 5-HT-targeted treatments for SDB.
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Affiliation(s)
- O Aung
- Department of Medicine, Johns Hopkins University, Baltimore, MD 21224, USA; (O.A.); (M.R.A.)
- Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Department of Anesthesiology and Critical Care Medicine, George Washington University, Washington, DC 20037, USA
| | - Mateus R. Amorim
- Department of Medicine, Johns Hopkins University, Baltimore, MD 21224, USA; (O.A.); (M.R.A.)
- Department of Anesthesiology and Critical Care Medicine, George Washington University, Washington, DC 20037, USA
| | - David Mendelowitz
- Department of Pharmacology and Physiology, George Washington University, Washington, DC 20037, USA;
| | - Vsevolod Y. Polotsky
- Department of Medicine, Johns Hopkins University, Baltimore, MD 21224, USA; (O.A.); (M.R.A.)
- Department of Anesthesiology and Critical Care Medicine, George Washington University, Washington, DC 20037, USA
- Department of Pharmacology and Physiology, George Washington University, Washington, DC 20037, USA;
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Olszewska E, De Vito A, Baptista P, Heiser C, O’Connor-Reina C, Kotecha B, Vanderveken O, Vicini C. Consensus Statements among European Sleep Surgery Experts on Snoring and Obstructive Sleep Apnea: Part 1 Definitions and Diagnosis. J Clin Med 2024; 13:502. [PMID: 38256636 PMCID: PMC10816926 DOI: 10.3390/jcm13020502] [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: 12/06/2023] [Revised: 01/06/2024] [Accepted: 01/08/2024] [Indexed: 01/24/2024] Open
Abstract
Seeking consensus on definitions and diagnosis of snoring and obstructive sleep apnea (OSA) among sleep surgeons is important, particularly in this relatively new field with variability in knowledge and practices. A set of statements was developed based on the literature and circulated among eight panel members of European experts, utilizing the Delphi method. Responses in agreement and disagreement on each statement and the comments were used to assess the level of consensus and develop a revised version. The new version with the level of consensus and anonymized comments was sent to each panel member as the second round. This was repeated a total of five rounds. The total number of statements included in the initial set was 112. In the first round, of all eight panelists, the percentage of questions that had consensus among the eight, seven, and six panelists were 45%, 4.5%, and 7.1%, respectively. In the final set of statements consisting of 99, the percentage of questions that had consensus among the 8, 7, and 6 panelists went up to 66.7%, 24.2%, and 6.1%, respectively. Delphi's method demonstrated an efficient method of interaction among experts and the establishment of consensus on a specific set of statements.
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Affiliation(s)
- Ewa Olszewska
- Department of Otolaryngology, Sleep Apnea Surgery Center, Medical University of Bialystok, 15-276 Bialystok, Poland
| | - Andrea De Vito
- Department of Surgery, Morgagni-Pierantoni Hospital, Health Local Agency of Romagna, 47121 Forlì, Italy;
| | - Peter Baptista
- Clinica Universidad da Navarra, Departmento de Orl, 31008 Pamplona, Spain;
| | - Clemens Heiser
- Faculty of Medicine and Health Sciences, University of Antwerp, 2000 Antwerp, Belgium; (C.H.); (O.V.)
- Department of Otorhinolaryngology/Head and Neck Surgery, Klinikum Rechts der Isar, Technical University of Munich, 80333 Munich, Germany
| | | | - Bhik Kotecha
- Nuffield Health Brentwood, Essex, Brentwood CM15 8EH, UK;
- UME Health, 17 Harley Street, London W1G 9QH, UK
| | - Olivier Vanderveken
- Faculty of Medicine and Health Sciences, University of Antwerp, 2000 Antwerp, Belgium; (C.H.); (O.V.)
- Department of Otorhinolaryngology, Head and Neck Surgery, Antwerp University Hospital, 2650 Antwerp, Belgium
| | - Claudio Vicini
- GVM Care & Research ENT Consultant, GVM Primus Medica Center, GVM San Pier Damiano Hospital, 48018 Faenza, Italy;
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Lai WY, Wei CC, Lin CH, Hang LW, Shih YH, Huang FW, Yen HR. Integrative traditional Chinese medicine treatment for children with obstructive sleep apnea. J Tradit Complement Med 2024; 14:109-120. [PMID: 38223810 PMCID: PMC10785241 DOI: 10.1016/j.jtcme.2023.08.002] [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: 01/01/2023] [Revised: 08/01/2023] [Accepted: 08/04/2023] [Indexed: 01/16/2024] Open
Abstract
Purpose Obstructive sleep apnea (OSA) is a chronic disease that affects 1%-6% of children. Our study aims to explore the effectiveness and clinical characteristics of integrative Traditional Chinese Medicine (ITCM) for pediatric OSA. Materials and methods In this retrospective cohort study, we assessed differences of polysomnography (PSG) parameters and clinical characteristics between 2009 and 2020. Children <12 years old diagnosed with OSA (n = 508) were included and were categorized into ITCM cohort, western medicine (WM) cohort ,and surgery cohort. Outcomes were apnea-hypopnea index (AHI), respiratory disturbance index (RDI), and body mass index (BMI). Results There were 56 (11%), 324 (63.8%), and 128 (25.2%) patients in the ITCM, WM, and surgery cohorts. Among 17, 26, and 33 patients in the ITCM, WM, and surgery cohorts underwent follow-up PSG studies, respectively. In the ITCM follow-up cohort, AHI were significantly reduced (9.59 to 5.71, p < 0.05). BMI significantly increased in the WM follow-up cohort (19.46 to 20.50, p < 0.05) and the surgery follow-up cohort (18.04 to 18.85, p < 0.01). Comparing ITCM to WM cohort, a significant difference was found between the changes in RDI (ITCM: -6.78, WM: 0.51, p < 0.05) after treatment. Among ITCM follow-up cohort, the most prescribed TCM formula was Forsythia and Laminaria Combination. The most prescribed TCM herb was Ephedrae Herba. Conclusions ITCM therapy can significantly reduce RDI and control BMI. We identified potential TCM treatments for pediatric OSA. Further study of the pharmacological mechanisms and clinical efficacy is warranted.
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Affiliation(s)
- Wan-Yu Lai
- Department of Chinese Medicine, China Medical University Hospital, Taichung, Taiwan
- School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Chang-Ching Wei
- Department of Pediatrics, Children's Hospital, China Medical University, Taichung, Taiwan
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
| | - Chien-Heng Lin
- Department of Pediatrics, Children's Hospital, China Medical University, Taichung, Taiwan
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
| | - Liang- Wen Hang
- Sleep Medicine Center, China Medical University Hospital, Taichung, Taiwan
| | - Ying-Hsiu Shih
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan
| | - Fen-Wei Huang
- Department of Medical Research, China Medical University Hospital, Taichung, Taiwan
| | - Hung-Rong Yen
- Department of Chinese Medicine, China Medical University Hospital, Taichung, Taiwan
- School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan
- Chinese Medicine Research Center, China Medical University, Taichung, Taiwan
- Research Center for Traditional Chinese Medicine, China Medical University Hospital, Taichung, Taiwan
- Department of Laboratory Science and Biotechnology, Asia University, Taichung, Taiwan
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Ghaffari R, Ghassemi H, Sadeghniiat Haghighi K, Zarei-Ghanavati M, Latifi G, Nebi Kheder K, Masoumi A, Afshar P. Ocular Surface Assessment in Patients with Obstructive Sleep Apnea Syndrome. J Curr Ophthalmol 2024; 36:42-45. [PMID: 39553316 PMCID: PMC11567611 DOI: 10.4103/joco.joco_173_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 03/10/2024] [Accepted: 03/10/2024] [Indexed: 11/19/2024] Open
Abstract
Purpose To evaluate the prevalence of dry eye, meibomian gland dysfunction (MGD), and conjunctivochalasis in patients with obstructive sleep apnea (OSA). Methods We included 37 patients diagnosed with OSA according to polysomnography. The control group comprised 31 subjects. The study participants underwent a complete ophthalmic examination and ocular surface assessment. Meibography was done using infrared imaging. Furthermore, tear meniscus height was measured using anterior segment optical coherence tomography. Results The mean age of the OSA and control groups were 50.3 ± 9.0 and 50.3 ± 8.0, respectively (P = 0.77). The mean scale for meibomian gland expression, meibomian gland plugging, and lid margin telangiectasia was similar in both groups. The meiboscores of the upper and lower eyelids were similar in both groups (upper meiboscores of 0.67 ± 0.48 and 0.37 ± 0.49 in OSA and control group, P = 0.180 and lower meiboscores of were 0.47 ± 0.57 and 0.22 ± 0.42 in OSA and control group, P = 0.179). The mean tear break-up time (TBUT) was significantly lower in the OSA group (8.17 ± 3.70 compared to 11.47 ± 4.52, P < 0.001). Upper and lower tear meniscus height were 186.14 ± 40.11 μm and 199.59 ± 37.22 μm and 237.25 ± 82.86 μm and 218.59 ± 68.8 μm in OSA and control group, respectively (P = 0.221, P = 0.166). The mean conjunctivochalasis grading score was 0.92 ± 0.72 and 0.81 ± 0.65 in the OSA and control groups, respectively (P = 0.143). Conclusions Despite decreased TBUT in patients with OSA, other dry eye parameters are not altered in these patients. Moreover, the frequency of MGD and conjunctivochalasis is not higher in OSA patients.
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Affiliation(s)
- Reza Ghaffari
- Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamed Ghassemi
- Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Mehran Zarei-Ghanavati
- Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Golshan Latifi
- Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Karzan Nebi Kheder
- Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmad Masoumi
- Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Pedram Afshar
- Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
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Chou TTC, Hsu HC, Twu CW, Huang WK, Huang HM, Weng SH, Chen MC. Prevalence of Obstructive Sleep Apnea Using Home Sleep Test in Taiwan During the Coronavirus Disease Pandemic. Nat Sci Sleep 2023; 15:1107-1116. [PMID: 38149042 PMCID: PMC10750777 DOI: 10.2147/nss.s434278] [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: 08/07/2023] [Accepted: 12/12/2023] [Indexed: 12/28/2023] Open
Abstract
Background Obstructive sleep apnea syndrome (OSAS) is a common disorder associated with serious sequelae. The current gold standard diagnostic method, polysomnography, is costly and time consuming and requires patients to stay overnight at a facility. Aim This study aimed to reveal the prevalence of OSAS in general adult population using a home sleep test (HST) during the coronavirus disease 2019 (COVID-19) pandemic. Methods This prospective cohort study was conducted by the Department of Otolaryngology, Taipei City Hospital, Taipei, Taiwan, between January 2020 and December 2021. A total of 1372 patients aged 30-70 years completed an HST using a Type 3 portable sleep monitor (PM). The apnea-hypopnea index (AHI) was analyzed to assess the association of OSAS with age, body mass index (BMI), sex, Epworth Sleepiness Scale (ESS) and the Sleep Apnea Risk Assessment questionnaire (STOP-Bang questionnaire) rating. Results The mean age of the patients (782 men, 57%; 590 women, 43%) was 49.24 ± 11.04 years. OSAS was detected in 954 (69.5%) patients with 399 (29.1%) mild OSAS; 246 (17.9%) moderate OSAS; and 309 (22.5%) severe OSAS. Among these, the prevalence of moderate-to-severe OSAS was 143 (10.4%) in women and 412 (30.0%) in men. The mean age was the highest (51.29 ± 11.29) in the mild OSAS group and lowest (47.08 ± 10.87) in the healthy group. OSAS severity was greater with increasing BMI, 23.39 ± 3.44 in the healthy group and 29.29 ± 5.01 in the severe OSAS group. A positive correlation was also noted between the ESS/STOP-Bang questionnaire rating and OSAS severity. Conclusion The prevalence of OSAS in Taiwan was 69.5% in our study. It showed strong evidence that OSAS has important public health consequences and PMs are simple, fast, feasible, and cost-effective tools for OSAS screening in the home environment, especially during the COVID-19 pandemic.
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Affiliation(s)
| | - Hsin-Chien Hsu
- Department of Otolaryngology, Taipei City Hospital, Taipei City, Taiwan
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, New Taipei City, Taiwan
- General Education Center, University of Taipei, Taipei City, Taiwan
| | - Chih-Wen Twu
- Department of Otorhinolaryngology, Head and Neck Surgery, Changhua Christian Hospital, Changhua County, Taiwan
- Department of Post-Baccalaureate Medicine, National Chung Hsing University, Taichung City, Taiwan
| | - Wen-Kuan Huang
- Division of Hematology/Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan City, Taiwan
| | - Hung-Meng Huang
- Department of Otolaryngology, Taipei City Hospital, Taipei City, Taiwan
- Department of Otolaryngology, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, Taiwan
| | - Shih-Han Weng
- Department of Education and Research, Taipei City Hospital, Taipei City, Taiwan
| | - Ming-Chih Chen
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, New Taipei City, Taiwan
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Read N, Jennings C, Hare A. Obstructive sleep apnoea-hypopnoea syndrome. Emerg Top Life Sci 2023; 7:467-476. [PMID: 38130167 DOI: 10.1042/etls20180939] [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: 05/31/2023] [Revised: 10/25/2023] [Accepted: 11/18/2023] [Indexed: 12/23/2023]
Abstract
Obstructive sleep apnoea-hypopnoea syndrome (OSAHS) is a common disorder characterised by repetitive episodes of the complete or partial collapse of the pharyngeal airway during sleep. This results in cessation (apnoea) or reduction (hypopnoea) of airflow, leading to oxygen desaturation and sleep fragmentation. An individual's disposition to develop OSAHS depends on the collapsibility of a segment of the upper airway. The degree of collapsibility can be quantified by the balance between occluding or extraluminal pressures of the surrounding tissues. Patients can experience snoring, unrefreshing sleep, witnessed apnoeas, waking with a choking sensation and excessive daytime sleepiness. OSAHS has a broad range of consequences, including cardiovascular, metabolic, and neurocognitive sequelae. Treatment options include lifestyle measures, in particular weight loss, and strategies to maintain upper airway patency overnight, including continuous positive airway pressure, mandibular advancement devices and positional modifiers.
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Affiliation(s)
- Nicola Read
- Royal Brompton Hospital, Kings Health Partnership, London, U.K
| | - Callum Jennings
- Royal Brompton Hospital, Kings Health Partnership, London, U.K
| | - Alanna Hare
- Royal Brompton Hospital, Kings Health Partnership, London, U.K
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Lechat B, Scott H, Manners J, Adams R, Proctor S, Mukherjee S, Catcheside P, Eckert DJ, Vakulin A, Reynolds AC. Multi-night measurement for diagnosis and simplified monitoring of obstructive sleep apnoea. Sleep Med Rev 2023; 72:101843. [PMID: 37683555 DOI: 10.1016/j.smrv.2023.101843] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 07/13/2023] [Accepted: 08/21/2023] [Indexed: 09/10/2023]
Abstract
Substantial night-to-night variability in obstructive sleep apnoea (OSA) severity has raised misdiagnosis and misdirected treatment concerns with the current prevailing single-night diagnostic approach. In-home, multi-night sleep monitoring technology may provide a feasible complimentary diagnostic pathway to improve both the speed and accuracy of OSA diagnosis and monitor treatment efficacy. This review describes the latest evidence on night-to-night variability in OSA severity, and its impact on OSA diagnostic misclassification. Emerging evidence for the potential impact of night-to-night variability in OSA severity to influence important health risk outcomes associated with OSA is considered. This review also characterises emerging diagnostic applications of wearable and non-wearable technologies that may provide an alternative, or complimentary, approach to traditional OSA diagnostic pathways. The required evidence to translate these devices into clinical care is also discussed. Appropriately sized randomised controlled trials are needed to determine the most appropriate and effective technologies for OSA diagnosis, as well as the optimal number of nights needed for accurate diagnosis and management. Potential risks versus benefits, patient perspectives, and cost-effectiveness of these novel approaches should be carefully considered in future trials.
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Affiliation(s)
- Bastien Lechat
- Flinders Health and Medical Research Institute/Adelaide Institute for Sleep Health, Flinders University, Australia.
| | - Hannah Scott
- Flinders Health and Medical Research Institute/Adelaide Institute for Sleep Health, Flinders University, Australia
| | - Jack Manners
- Flinders Health and Medical Research Institute/Adelaide Institute for Sleep Health, Flinders University, Australia
| | - Robert Adams
- Flinders Health and Medical Research Institute/Adelaide Institute for Sleep Health, Flinders University, Australia
| | - Simon Proctor
- Flinders Health and Medical Research Institute/Adelaide Institute for Sleep Health, Flinders University, Australia
| | - Sutapa Mukherjee
- Flinders Health and Medical Research Institute/Adelaide Institute for Sleep Health, Flinders University, Australia
| | - Peter Catcheside
- Flinders Health and Medical Research Institute/Adelaide Institute for Sleep Health, Flinders University, Australia
| | - Danny J Eckert
- Flinders Health and Medical Research Institute/Adelaide Institute for Sleep Health, Flinders University, Australia
| | - Andrew Vakulin
- Flinders Health and Medical Research Institute/Adelaide Institute for Sleep Health, Flinders University, Australia
| | - Amy C Reynolds
- Flinders Health and Medical Research Institute/Adelaide Institute for Sleep Health, Flinders University, Australia
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Heinsberg LW, Pomer A, Cade BE, Carlson JC, Naseri T, Reupena MS, Viali S, Weeks DE, McGarvey ST, Redline S, Hawley NL. Characterization of sleep apnea among a sample of adults from Samoa. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.16.23298644. [PMID: 38014025 PMCID: PMC10680886 DOI: 10.1101/2023.11.16.23298644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Sleep apnea is a public health concern around the world, but little research has been dedicated to examining this issue in low- and middle-income countries, including Samoa. Using data collected through the Soifua Manuia ("Good Health") study, which aimed to investigate the impact of the body mass index (BMI)-associated genetic variant rs373863828 in CREB3 Regulatory Factor ( CREBRF ) on metabolic traits in Samoan adults, we examined the sample prevalence and characteristics of sleep apnea using data collected with a validated home sleep apnea device (WatchPAT, Itamar). A total of 330 participants (sampled to overrepresent the obesity-risk allele of interest) had sleep data available. Participants (53.3% female) had a mean (SD) age of 52.0 (9.9) years and BMI of 35.5 (7.5) kg/m 2 and 36.3% of the sample had type 2 diabetes. Based on the 3% and 4% apnea hypopnea indices (AHI) and the 4% oxygen desaturation index (ODI), descriptive analyses revealed that many participants had potentially actionable sleep apnea defined as >5 events/hr (87.9%, 68.5%, and 71.2%, respectively) or clinically actionable sleep apnea defined as ≥15 events/hr (54.9%, 31.5%, and 34.5%, respectively). Sleep apnea was more severe in men; for example, clinically actionable sleep apnea (≥15) based on the AHI 3% definition was observed in 61.7% of men and 48.9% of women. Correction for non-representational sampling related to the CREBRF obesity-risk allele resulted in only slightly lower estimates. Across the AHI 3%, AHI 4%, and ODI 4%, multiple linear regression revealed associations between a greater number of events/hr and higher age, male sex, higher body mass index, higher abdominal-hip circumference ratio, and geographic region of residence. Our study identified a much higher frequency of sleep apnea in Samoa compared with published data from other studies, but similar predictors. Continued research addressing generalizability of these findings, as well as a specific focus on diagnosis and affordable and equitable access to treatment, is needed to alleviate the burden of sleep apnea in Samoa and around the world.
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Li P, Laudato M, Mihaescu M. Time-Dependent Fluid-Structure Interaction Simulations of a Simplified Human Soft Palate. Bioengineering (Basel) 2023; 10:1313. [PMID: 38002437 PMCID: PMC10669192 DOI: 10.3390/bioengineering10111313] [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: 10/14/2023] [Revised: 11/08/2023] [Accepted: 11/11/2023] [Indexed: 11/26/2023] Open
Abstract
Obstructive Sleep Apnea Syndrome (OSAS) is a common sleep-related disorder. It is characterized by recurrent partial or total collapse of pharyngeal upper airway accompanied by induced vibrations of the soft tissues (e.g., soft palate). The knowledge of the tissue behavior subject to a particular airflow is relevant for realistic clinic applications. However, in-vivo measurements are usually impractical. The goal of the present study is to develop a 3D fluid-structure interaction model for the human uvulopalatal system relevant to OSA based on simplified geometries under physiological conditions. Numerical simulations are performed to assess the influence of the different breathing conditions on the vibrational dynamics of the flexible structure. Meanwhile, the fluid patterns are investigated for the coupled fluid-structure system as well. Increasing the respiratory flow rate is shown to induce larger structural deformation. Vortex shedding induced resonance is not observed due to the large discrepancy between the flow oscillatory frequency and the natural frequency of the structure. The large deformation for symmetric breathing case under intensive respiration is mainly because of the positive feedback from the pressure differences on the top and the bottom surfaces of the structure.
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Affiliation(s)
- Peng Li
- Department of Engineering Mechanics, FLOW, KTH Royal Institute of Technology, 10044 Stockholm, Sweden;
| | - Marco Laudato
- Department of Engineering Mechanics, FLOW, KTH Royal Institute of Technology, 10044 Stockholm, Sweden;
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Eyuboglu F, Inal-Ince D, Karamancioglu B, Vardar-Yagli N, Kaya-Utlu D, Dalkilic O, Somay G. Effect of tele-yoga on aerobic capacity, respiratory muscle strength, and cognitive performance in patients with obstructive sleep apnea syndrome. Heart Lung 2023; 62:157-167. [PMID: 37536116 DOI: 10.1016/j.hrtlng.2023.07.005] [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: 02/05/2023] [Revised: 07/18/2023] [Accepted: 07/20/2023] [Indexed: 08/05/2023]
Abstract
BACKGROUND Obstructive sleep apnea syndrome (OSAS) causes a decrease in aerobic capacity, respiratory muscle strength, and cognitive function, negatively affecting health-related quality of life. OBJECTIVES This study aimed to compare aerobic capacity, respiratory muscle strength, cognitive performance, functional capacity, sleep quality and daytime sleepiness in OSAS patients practicing and not practicing tele-yoga (TY). METHODS 44 OSAS patients (40 M, 4F) were randomized into TY and control groups. TY group underwent live synchronous group-based TY sessions, 60 min/day, three days/week, for 12 weeks. Control group performed unsupervised thoracic expansion exercises at home 4 times daily for 12 weeks. The following were evaluated at baseline and at the end of the 6th and 12th weeks: inspiratory and expiratory respiratory muscle strength (MIP, MEP), cardiopulmonary exercise test, Corsi Block Tapping Test (CBTT) and Stroop TBAG test, six-minute walk test (6MWT), Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS). RESULTS TY significantly improved MIP, and exercise test parameters (VE, HRmax,%HR, heart rate recovery in the first minute and RQmax), CBTT (forward) and Stroop TBAG test scores (parts of 3,4,5) compared to the controls (p<0.05). There were no significant changes 6MWT in the TY group compared to the control group (p > 0.05). Sleep duration (min), sleep efficiency, sleep quality of PSQI and ESS score improved significantly in the TY group compared to the control group (p < 0.05). CONCLUSION We suggest including TY intervention as a method of exercise in addition to CPAP treatments since it improves the health-related parameters of OSAS patients.
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Affiliation(s)
- Filiz Eyuboglu
- Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Uskudar University, Istanbul, Turkey; Faculty of Physical Therapy and Rehabilitation, Hacettepe University, Ankara, Turkey.
| | - Deniz Inal-Ince
- Faculty of Physical Therapy and Rehabilitation, Hacettepe University, Ankara, Turkey
| | - Berna Karamancioglu
- Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Uskudar University, Istanbul, Turkey
| | - Naciye Vardar-Yagli
- Faculty of Physical Therapy and Rehabilitation, Hacettepe University, Ankara, Turkey
| | - Defne Kaya-Utlu
- Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, University of Health Sciences, Istanbul, Turkey
| | - Orhan Dalkilic
- Department of Chest Diseases, Hisar Intercontinental Hospital, Istanbul, Turkey
| | - Goksel Somay
- Department of Neurogy, Intermed Ciftehavuzlar, Istanbul, Turkey
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Sweetman A, Osman A, Lack L, Crawford M, Wallace D. Co-morbid insomnia and sleep apnea (COMISA): recent research and future directions. Curr Opin Pulm Med 2023; 29:567-573. [PMID: 37642477 DOI: 10.1097/mcp.0000000000001007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
PURPOSE OF REVIEW Insomnia and obstructive sleep apnea have previously been viewed as completely independent conditions. However, there is now increasing recognition that insomnia and sleep apnea frequently co-occur. Co-morbid insomnia and sleep apnea (COMISA) is a highly prevalent condition that is associated with impairment of sleep, daytime function, mental health and physical health outcomes, and mortality risk. This review aims to provide an update on COMISA prevalence, consequences, treatment approaches, and future research directions. RECENT FINDINGS People with COMISA experience worse sleep, mental health, physical health, quality of life and longevity compared to people with neither condition, and often compared to those with insomnia alone and sleep apnea alone. Emerging evidence suggests that cognitive behavioral therapy for insomnia is an effective treatment in the presence of treated and untreated sleep apnea, that may also improve manifestations and subsequent management of sleep apnea. Future research is required to understand the etiology of COMISA, and to develop and implement tailored treatment approaches. SUMMARY It is important for sleep and respiratory technicians, researchers and clinicians to be aware of the high co-morbidity rates, consequences, and treatment requirements of patients with co-morbid insomnia and sleep apnea.
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Affiliation(s)
- Alexander Sweetman
- Adelaide Institute for Sleep Health, and FHRMI sleep health, Flinders University, South Australia, Australia
| | - Amal Osman
- Adelaide Institute for Sleep Health, and FHRMI sleep health, Flinders University, South Australia, Australia
| | - Leon Lack
- Adelaide Institute for Sleep Health, and FHRMI sleep health, Flinders University, South Australia, Australia
| | - Megan Crawford
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Douglas Wallace
- Department of Neurology, Sleep Medicine Division, University of Miami Miller School of Medicine
- Neurology Service, Bruce W. Carter Department of Veterans Affairs Medical Center, Miami, Florida, USA
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Huang X, Schmelter F, Irshad MT, Piet A, Nisar MA, Sina C, Grzegorzek M. Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional contrastive learning. Comput Biol Med 2023; 166:107501. [PMID: 37742416 DOI: 10.1016/j.compbiomed.2023.107501] [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: 07/03/2023] [Revised: 08/15/2023] [Accepted: 09/15/2023] [Indexed: 09/26/2023]
Abstract
Sleep is an important research area in nutritional medicine that plays a crucial role in human physical and mental health restoration. It can influence diet, metabolism, and hormone regulation, which can affect overall health and well-being. As an essential tool in the sleep study, the sleep stage classification provides a parsing of sleep architecture and a comprehensive understanding of sleep patterns to identify sleep disorders and facilitate the formulation of targeted sleep interventions. However, the class imbalance issue is typically salient in sleep datasets, which severely affects classification performances. To address this issue and to extract optimal multimodal features of EEG, EOG, and EMG that can improve the accuracy of sleep stage classification, a Borderline Synthetic Minority Oversampling Technique (B-SMOTE)-Based Supervised Convolutional Contrastive Learning (BST-SCCL) is proposed, which can avoid the risk of data mismatch between various sleep knowledge domains (varying health conditions and annotation rules) and strengthening learning characteristics of the N1 stage from the pair-wise segments comparison strategy. The lightweight residual network architecture with a novel truncated cross-entropy loss function is designed to accommodate multimodal time series and boost the training speed and performance stability. The proposed model has been validated on four well-known public sleep datasets (Sleep-EDF-20, Sleep-EDF-78, ISRUC-1, and ISRUC-3) and its superior performance (overall accuracy of 91.31-92.34%, MF1 of 88.21-90.08%, and Cohen's Kappa coefficient k of 0.87-0.89) has further demonstrated its effectiveness. It shows the great potential of contrastive learning for cross-domain knowledge interaction in precision medicine.
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Affiliation(s)
- Xinyu Huang
- Institute of Medical Informatics, University of Lübeck, Germany.
| | - Franziska Schmelter
- Institute of Nutritional Medicine, University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck, Germany.
| | | | - Artur Piet
- Institute of Medical Informatics, University of Lübeck, Germany.
| | | | - Christian Sina
- Institute of Nutritional Medicine, University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck, Germany; Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering (IMTE), Lübeck, Germany.
| | - Marcin Grzegorzek
- Institute of Medical Informatics, University of Lübeck, Germany; Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering (IMTE), Lübeck, Germany.
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Francia C, Lugo R, Moffa A, Casale M, Giorgi L, Iafrati F, Di Giovanni S, Baptista P. Defining Epiglottic Collapses Patterns in Obstructive Sleep Apnea Patients: Francia-Lugo Classification. Healthcare (Basel) 2023; 11:2874. [PMID: 37958018 PMCID: PMC10647320 DOI: 10.3390/healthcare11212874] [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: 07/28/2023] [Revised: 10/23/2023] [Accepted: 10/30/2023] [Indexed: 11/15/2023] Open
Abstract
Obstructive Sleep Apnea (OSA) is characterized by repetitive collapse of the upper airway during sleep. Drug-Induced Sleep endoscopy (DISE) is used to identify the collapse site. Among the possible sites of collapse, the epiglottis occurs more frequently than previously described. In this study, we reviewed DISE findings and classified different epiglottic collapse patterns. We found 104 patients (16.4%) with epiglottis collapse (primary 12.5% and secondary 3.9%). We described the following patterns of epiglottis collapse: Anterior-Posterior (AP) collapse with rigid component "trapdoor type" (48%); AP collapse with lax component "floppy type" (13.5%); Lateral- Lateral (LL) collapse with omega shape component "book type" (14.5%); and secondary due to lateral pharyngeal wall or tongue base collapse (24%). The identification of the epiglottic collapse pattern is crucial in decision-making when attempting to ameliorate OSA. These findings in OSA phenotyping could influence the type of treatment chosen.
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Affiliation(s)
| | | | - Antonio Moffa
- Integrated Therapies in Otolaryngology, Campus Bio-Medico University Hospital Foundation, 00128 Rome, Italy
- School of Medicine, Campus Bio-Medico University, 00128 Rome, Italy
| | - Manuele Casale
- Integrated Therapies in Otolaryngology, Campus Bio-Medico University Hospital Foundation, 00128 Rome, Italy
- School of Medicine, Campus Bio-Medico University, 00128 Rome, Italy
| | - Lucrezia Giorgi
- Integrated Therapies in Otolaryngology, Campus Bio-Medico University Hospital Foundation, 00128 Rome, Italy
- Unit of Measurements and Biomedical Instrumentation, Department of Engineering, Campus Bio-Medico University of Rome, 00128 Rome, Italy
| | - Francesco Iafrati
- Integrated Therapies in Otolaryngology, Campus Bio-Medico University Hospital Foundation, 00128 Rome, Italy
- School of Medicine, Campus Bio-Medico University, 00128 Rome, Italy
| | - Simone Di Giovanni
- Integrated Therapies in Otolaryngology, Campus Bio-Medico University Hospital Foundation, 00128 Rome, Italy
- School of Medicine, Campus Bio-Medico University, 00128 Rome, Italy
| | - Peter Baptista
- Department of Otorhinolaryngology, Clínica Universidad de Navarra, 31008 Pamplona, Spain
- ENT Department, Al Zahra Private Hospital Dubai, Dubai 23614, United Arab Emirates
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