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Shahrbabaki SS, Dharmaprani D, Tiver KD, Jenkins E, Strong C, Tonchev I, O'Loughlin LP, Linz D, Chapman D, Lechat B, Ullah S, Stone KL, Eckert DJ, Baumert M, Ganesan AN. Power-law properties of nocturnal arrhythmia avalanches: a novel marker for incident cardiovascular events. Heart Rhythm 2024:S1547-5271(24)03126-6. [PMID: 39127229 DOI: 10.1016/j.hrthm.2024.08.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 07/29/2024] [Accepted: 08/02/2024] [Indexed: 08/12/2024]
Abstract
BACKGROUND Bursting non-sustained cardiac arrhythmia events, are a common observation during sleep. OBJECTIVES We hypothesized nocturnal arrhythmia episode durations could follow a power-law, whose exponent could predict long-term clinical outcomes. METHODS We defined 'nocturnal arrhythmia avalanche' (NAA) as any instance of a drop in electrocardiogram (ECG) template-matched R-R intervals ≥30% of R-R baseline, followed by a return to 90% of the baseline. We studied NAA in ECG recordings obtained from the Sleep Heart Health Study (SHHS), the Osteoporotic Fractures in Men Study (MrOS) Sleep and Multi-Ethnic Study of Atherosclerosis (MESA) studies. The association of the nocturnal arrhythmia durations with a power-law distribution was evaluated, and the association of derived power-law exponents (α) with major adverse cardiovascular events and mortality assessed with multivariable Cox regression. RESULTS n=9176 participants were studied. NAA episodes distribution was with a consistent power-law versus comparator distributions in all datasets studied (Positive log likelihood ratio of power-law vs. exponential in MESA: 83%; SHHS: 69%; MrOS: 81%; power-law vs. log-normal in MESA: 95%; SHHS: 35% and MrOS: 64%). The NAA power law exponent (α) showed a significant association of with adverse CV outcomes (Association with CV mortality: SHHS (HR = 1.39[1.07-1.79], p=0.012); MrOS (HR = 1.42[1.02-1.94], p=0.039; Association with CV events: MESA (HR = 3.46[1.46-8.21], p=0.005)) in multivariable Cox regression, after adjusting for conventional CV risk factors and nocturnal ectopic rate. CONCLUSION The NAA power-law exponent is a reproducible, predictive marker for incident cardiovascular events and mortality.
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Affiliation(s)
| | - Dhani Dharmaprani
- College of Medicine and Public Health, Flinders University, Adelaide, Australia; Australian Institue for Machine Learning, University of Adelaide, Adeliade, Australia
| | - Kathryn D Tiver
- College of Medicine and Public Health, Flinders University, Adelaide, Australia; Department of Cardiovascular Medicine, Flinders Medical Centre, Adelaide, Australia
| | - Evan Jenkins
- College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Campbell Strong
- College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Ivaylo Tonchev
- College of Medicine and Public Health, Flinders University, Adelaide, Australia; Department of Cardiovascular Medicine, Flinders Medical Centre, Adelaide, Australia
| | | | - Dominik Linz
- Faculty of Health and Medical Sciences, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, The Netherlands; Centre for Heart Rhythm Disorders, South Australian Health and Medical Research Institute, Royal Adelaide Hospital, University of Adelaide, Australia
| | - Darius Chapman
- College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Bastien Lechat
- College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Shahid Ullah
- College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Katie L Stone
- California Pacific Medical Center Research Institute; Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Danny J Eckert
- College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Mathias Baumert
- Discipline of Biomedical Engineering, School of Electrical and Mechanical Engineering, University of Adelaide, Adelaide, Australia
| | - Anand N Ganesan
- College of Medicine and Public Health, Flinders University, Adelaide, Australia; Department of Cardiovascular Medicine, Flinders Medical Centre, Adelaide, Australia.
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Kovbasyuk Z, Ramos-Cejudo J, Parekh A, Bubu OM, Ayappa IA, Varga AW, Chen MH, Johnson AD, Gutierrez-Jimenez E, Rapoport DM, Osorio RS. Obstructive Sleep Apnea, Platelet Aggregation, and Cardiovascular Risk. J Am Heart Assoc 2024; 13:e034079. [PMID: 39056328 DOI: 10.1161/jaha.123.034079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 05/31/2024] [Indexed: 07/28/2024]
Abstract
BACKGROUND Although related, the precise mechanisms linking obstructive sleep apnea (OSA) and cardiovascular disease (CVD) are unclear. Platelets are mediators of CVD risk and thrombosis and prior studies suggested associations of OSA and platelet activity. The aim of this study is to assess the link between OSA, platelet activity, and CVD-related risk factors. METHODS AND RESULTS We studied the association of OSA-measures and platelet aggregation in participants dually enrolled in the SHHS (Sleep Heart and Health Study) and FHS (Framingham Heart Study). We applied linear regression models with adjustment for demographic and clinical covariates and explored interactions with OSA and CVD-related factors, including age, sex, body mass index, hypertension, OSA diagnosis (apnea-hypopnea index 4%≥5), and aspirin use. Our final sample was of 482 participants (60 years [14.00], 50.4% female). No associations were observed between apnea-hypopnea index 4% and platelet aggregation in the main sample. Stratified analysis revealed an association in aspirin users (n=65) for our primary exposure (apnea-hypopnea index 4%, β=0.523; P<0.001; n=65), and secondary exposures: hypoxic burden (β=0.358; P<0.001), minimum saturation (β=-0.519; P=0.026), and oxygen desaturation index 3% (β=74.672; P=0.002). No associations were detected in nonaspirin users (n=417). CONCLUSIONS No associations were detected between OSA and platelet aggregation in a community sample. Our finding that OSA associates with increased platelet aggregation in the aspirin group, most of whom use it for primary prevention of CVD, suggests that platelet aggregation may mediate the adverse impact of OSA on vascular health in individuals with existing CVD risk, supporting further investigation.
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Affiliation(s)
- Zanetta Kovbasyuk
- Healthy Brain Aging and Sleep Center Department of Psychiatry New York University Langone Medical Center New York City NY
| | - Jaime Ramos-Cejudo
- Division of Brain Aging Department of Psychiatry New York University Grossman School of Medicine New York City NY
| | - Ankit Parekh
- Division of Pulmonary Critical Care and Sleep Medicine Icahn School of Medicine at Mount Sinai New York City NY
| | - Omonigho M Bubu
- Healthy Brain Aging and Sleep Center Department of Psychiatry New York University Langone Medical Center New York City NY
| | - Indu A Ayappa
- Division of Pulmonary Critical Care and Sleep Medicine Icahn School of Medicine at Mount Sinai New York City NY
| | - Andrew W Varga
- Division of Pulmonary Critical Care and Sleep Medicine Icahn School of Medicine at Mount Sinai New York City NY
| | - Ming-Huei Chen
- Population Sciences Branch National Heart, Lung, and Blood Institute Framingham MA
| | - Andrew D Johnson
- Population Sciences Branch National Heart, Lung, and Blood Institute Framingham MA
| | | | - David M Rapoport
- Division of Brain Aging Department of Psychiatry New York University Grossman School of Medicine New York City NY
| | - Ricardo S Osorio
- Healthy Brain Aging and Sleep Center Department of Psychiatry New York University Langone Medical Center New York City NY
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Mann DL, Staykov E, Georgeson T, Azarbarzin A, Kainulainen S, Redline S, Sands SA, Terrill PI. Flow Limitation Is Associated with Excessive Daytime Sleepiness in Individuals without Moderate or Severe Obstructive Sleep Apnea. Ann Am Thorac Soc 2024; 21:1186-1193. [PMID: 38530665 PMCID: PMC11298983 DOI: 10.1513/annalsats.202308-710oc] [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: 08/17/2023] [Accepted: 03/20/2024] [Indexed: 03/28/2024] Open
Abstract
Rationale: Moderate-severe obstructive sleep apnea (OSA) (apnea-hypopnea index [AHI], >15 events/h) disturbs sleep through frequent bouts of apnea and is associated with daytime sleepiness. However, many individuals without moderate-severe OSA (i.e., AHI <15 events/h) also report sleepiness. Objectives: To test the hypothesis that sleepiness in the AHI <15 events/h group is a consequence of substantial flow limitation in the absence of overt reductions in airflow (i.e., apnea/hypopnea). Methods: A total of 1,886 participants from the MESA sleep cohort were analyzed for frequency of flow limitation from polysomnogram-recorded nasal airflow signal. Excessive daytime sleepiness (EDS) was defined by an Epworth Sleepiness Scale score ⩾11. Covariate-adjusted logistic regression assessed the association between EDS (binary dependent variable) and frequency of flow limitation (continuous) in individuals with an AHI <15 events/h. Results: A total of 772 individuals with an AHI <15 events/h were included in the primary analysis. Flow limitation was associated with EDS (odds ratio, 2.04; 95% confidence interval, 1.17-3.54; per 2-standard deviation increase in flow limitation frequency) after adjusting for age, sex, body mass index, race/ethnicity, and sleep duration. This effect size did not appreciably change after also adjusting for AHI. Conclusions: In individuals with an AHI <15 events/h, increasing flow limitation frequency by 2 standard deviations is associated with a twofold increase in the risk of EDS. Future studies should investigate addressing flow limitation in low-AHI individuals as a potential mechanism for ameliorating sleepiness.
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Affiliation(s)
- Dwayne L. Mann
- School of Electrical Engineering and Computer Science
- Institute for Social Science Research, and
| | - Eric Staykov
- School of Electrical Engineering and Computer Science
| | - Thomas Georgeson
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Ali Azarbarzin
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Samu Kainulainen
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland; and
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Scott A. Sands
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women’s Hospital, Harvard Medical School, Boston, Massachusetts
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Ioachimescu OC. Obstructive sleep apnoea, oxygen desaturation and hypoxic burden: pebble, rock or boulder? Respirology 2024. [PMID: 39041296 DOI: 10.1111/resp.14801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Accepted: 07/10/2024] [Indexed: 07/24/2024]
Affiliation(s)
- Octavian C Ioachimescu
- Clinical and Translational Science Institute of Southeast Wisconsin, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Clement J. Zablocki Veteran Affairs Medical Center, Milwaukee, Wisconsin, USA
- Emory University, Atlanta, Georgia, USA
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Inonu Koseoglu H, Aykun G, Kanbay A, Pazarli AC, Yakar Hİ, Demir O. A new perspective on OSAS cases with the Baveno classification. Postgrad Med 2024:1-7. [PMID: 38992947 DOI: 10.1080/00325481.2024.2379759] [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: 02/09/2024] [Accepted: 07/10/2024] [Indexed: 07/13/2024]
Abstract
OBJECTIVE/BACKGROUND Since the apnea-hypopnea index (AHI), which is used in the diagnosis and grading of OSAS, does not adequately reflect the clinical perspective of the disease, the Baveno classification of OSA was developed, which allows multicomponent evaluation of OSAS patients. The aim of our study was to evaluate the application of the Baveno classification in clinical practice. PATIENTS/METHODS A prospective study was performed on patients diagnosed with OSAS between January 2021 and June 2022. Patients were divided into 4 groups according to Baveno classification (Groups A-D) and three groups as mild, moderate, and severe OSAS according to AHI. RESULTS A total of 378 patients (70% male, mean age 48.68 ± 11.81 years) were included in the study. The patients had mild (n: 75; 20%), moderate (n: 88; 23%), and severe (n: 215; 57%) OSAS. According to Baveno classification, patients were included in Groups A (n: 90; 24%), B (n: 105 (28%), C (n: 65; 17%), and D (n: 118; 31%). The mean AHIs of the Baveno groups were similar (p = 0.116). Oxygen desaturation index (ODI) was higher in Groups B and D compared to Group A. The duration of T90 desaturation was longer in Groups C and D compared to Groups A and B (p < 0.05). CONCLUSIONS The Baveno classification divided our OSAS cases into equivalent groups. One out of every four patients with mild OSAS was in Group D. This data was noteworthy in that the Baveno classification allows for the identification of symptomatic and comorbid patients with mild OSAS according to AHI and for the application of more effective treatments to these patients. Patients with comorbidities experienced oxygen desaturation for a longer period of time at night, and oxygenation deteriorated in patients with prominent symptoms. Baveno classification was found to be a more reasonable and easily applicable approach in clinical practice.
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Affiliation(s)
- Handan Inonu Koseoglu
- Department of Pulmonary Diseases, Faculty of Medicine, Tokat Gaziosmanpasa University, Tokat, Turkey
| | - Gökhan Aykun
- Department of Pulmonary Diseases, Faculty of Medicine, Tokat Gaziosmanpasa University, Tokat, Turkey
| | - Asiye Kanbay
- Department of Health Sciences, Fenerbahçe University, İstanbul, Turkey
| | - Ahmet Cemal Pazarli
- Department of Pulmonary Diseases, Faculty of Medicine, Tokat Gaziosmanpasa University, Tokat, Turkey
| | - Halil İbrahim Yakar
- Department of Pulmonary Diseases, Faculty of Medicine, Tokat Gaziosmanpasa University, Tokat, Turkey
| | - Osman Demir
- Department of Biostatistics and Medical Informatics, Faculty of Medicine, Tokat Gaziosmanpasa University, Tokat, Turkey
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Ioachimescu OC. Assessing obstructive sleep apnoea by oxygen desaturation metrics: Pre-dawn clearing. Respirology 2024. [PMID: 39004765 DOI: 10.1111/resp.14796] [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: 06/12/2024] [Accepted: 07/04/2024] [Indexed: 07/16/2024]
Abstract
See related article
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Affiliation(s)
- Octavian C Ioachimescu
- Medical College of Wisconsin, Clinical and Translational Science Institute of Southeast Wisconsin, Milwaukee, Wisconsin, USA
- Clement J. Zablocki Veteran Affairs Medical Center, Milwaukee, Wisconsin, USA
- Emory University, Atlanta, Georgia, USA
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Sanchez-Azofra A, Orr JE, Sanz-Rubio D, Marin-Oto M, Alarcon-Sisamon S, Vicente E, Ancochea J, Soriano JB, DeYoung P, Azarbarzin A, Malhotra A, Marin JM. Apnea-Specific Pulse-Rate Response is Associated With Early Subclinical Atherosclerosis in Obstructive Sleep Apnea. Arch Bronconeumol 2024:S0300-2896(24)00242-4. [PMID: 39084963 DOI: 10.1016/j.arbres.2024.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 06/15/2024] [Accepted: 07/02/2024] [Indexed: 08/02/2024]
Abstract
INTRODUCTION In patients with obstructive sleep apnea (OSA), novel metrics such as hypoxic burden (HB) and sleep apnea-specific pulse-rate response (ΔHR) may better correlate with cardiovascular diseases (CVD) than the apnea-hypopnea index (AHI). This manuscript aims to assess the correlation between ΔHR and HB with subclinical atherosclerosis in patients with OSA, testing the hypothesis that elevated ΔHR and HB are associated with subclinical atherosclerosis development. METHODS In a prospective study, individuals aged 20-65 years with suspected OSA without known comorbidities were consecutively recruited and defined as OSA (AHI≥5events/h) or healthy controls. Using bilateral carotid ultrasonography, common carotid intima-media thickness (CIMT) was assessed and the identification of at least one atheromatous plaque defined the presence of subclinical atherosclerosis. ΔHR, and HB were derived from pulse-oximetry. RESULTS We studied 296 patients of age 45±10 years old, of whom 28% were women, and with a BMI of 30.3±5.3kg/m2. Overall, 245 had OSA and 51 were healthy controls. After controlling for confounding variables higher ΔHR but not HB, was associated with higher CIMT (p=0.006) and higher time spent with oxygen saturation below 90% (T90) was associated with an increase in carotid atheroma plaques (p=0.032). When stratifying OSA based on HB tertiles, we observed that within tertile 2 of HB, an increase in ΔHR was associated with larger CIMT (p=0.017). CONCLUSION A higher ΔHR is associated with an increase in CIMT among adult patients with OSA. This study suggests that ΔHR could be a biomarker of risk for CVD in patients with OSA.
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Affiliation(s)
- Ana Sanchez-Azofra
- Division of Pulmonary, Critical Care, and Sleep Medicine and Physiology, Department of Medicine, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA; Division of Pulmonary Medicine, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Calle Diego de Leon 62, 28006 Madrid, Spain.
| | - Jeremy E Orr
- Division of Pulmonary, Critical Care, and Sleep Medicine and Physiology, Department of Medicine, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA
| | - David Sanz-Rubio
- Translational Research Unit, IIS Aragón, Hospital Universitario Miguel Servet, Avda. San Juan Bosco 13, 50009 Zaragoza, Spain
| | - Marta Marin-Oto
- Translational Research Unit, IIS Aragón, Hospital Universitario Miguel Servet, Avda. San Juan Bosco 13, 50009 Zaragoza, Spain; Department of Medicine, Faculty of Medicine, University of Zaragoza, Edificio A, 50009 Zaragoza, Spain
| | - Sergio Alarcon-Sisamon
- Translational Research Unit, IIS Aragón, Hospital Universitario Miguel Servet, Avda. San Juan Bosco 13, 50009 Zaragoza, Spain
| | - Eugenio Vicente
- Translational Research Unit, IIS Aragón, Hospital Universitario Miguel Servet, Avda. San Juan Bosco 13, 50009 Zaragoza, Spain
| | - Julio Ancochea
- Division of Pulmonary Medicine, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Calle Diego de Leon 62, 28006 Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Joan B Soriano
- Division of Pulmonary Medicine, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Calle Diego de Leon 62, 28006 Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Pamela DeYoung
- Division of Pulmonary, Critical Care, and Sleep Medicine and Physiology, Department of Medicine, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA
| | - Ali Azarbarzin
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Harvard University, 75 Francis St, 02115 Boston, MA, USA
| | - Atul Malhotra
- Division of Pulmonary, Critical Care, and Sleep Medicine and Physiology, Department of Medicine, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA
| | - Jose M Marin
- Translational Research Unit, IIS Aragón, Hospital Universitario Miguel Servet, Avda. San Juan Bosco 13, 50009 Zaragoza, Spain; Department of Medicine, Faculty of Medicine, University of Zaragoza, Edificio A, 50009 Zaragoza, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
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Assadi A, Chung F, Yadollahi A. Measures of overnight oxygen saturation to characterize sleep apnea severity and predict postoperative respiratory depression. Biomed Eng Online 2024; 23:63. [PMID: 38978075 PMCID: PMC11229251 DOI: 10.1186/s12938-024-01254-8] [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: 09/26/2023] [Accepted: 06/11/2024] [Indexed: 07/10/2024] Open
Abstract
BACKGROUND Sleep apnea syndrome, characterized by recurrent cessation (apnea) or reduction (hypopnea) of breathing during sleep, is a major risk factor for postoperative respiratory depression. Challenges in sleep apnea assessment have led to the proposal of alternative metrics derived from oxyhemoglobin saturation (SpO2), such as oxygen desaturation index (ODI) and percentage of cumulative sleep time spent with SpO2 below 90% (CT90), as predictors of postoperative respiratory depression. However, their performance has been limited with area under the curve of 0.60 for ODI and 0.59 for CT90. Our objective was to propose novel features from preoperative overnight SpO2 which are correlated with sleep apnea severity and predictive of postoperative respiratory depression. METHODS Preoperative SpO2 signals from 235 surgical patients were retrospectively analyzed to derive seven features to characterize the sleep apnea severity. The features included entropy and standard deviation of SpO2 signal; below average burden characterizing the area under the average SpO2; average, standard deviation, and entropy of desaturation burdens; and overall nocturnal desaturation burden. The association between the extracted features and sleep apnea severity was assessed using Pearson correlation analysis. Logistic regression was employed to evaluate the predictive performance of the features in identifying postoperative respiratory depression. RESULTS Our findings indicated a similar performance of the proposed features to the conventional apnea-hypopnea index (AHI) for assessing sleep apnea severity, with average area under the curve ranging from 0.77 to 0.81. Notably, entropy and standard deviation of overnight SpO2 signal and below average burden showed comparable predictive capability to AHI but with minimal computational requirements and individuals' burden, making them promising for screening purposes. Our sex-based analysis revealed that compared to entropy and standard deviation, below average burden exhibited higher sensitivity in detecting respiratory depression in women than men. CONCLUSION This study underscores the potential of preoperative SpO2 features as alternative metrics to AHI in predicting postoperative respiratory.
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Affiliation(s)
- Atousa Assadi
- KITE-Toronto Rehabilitation Institute, University Health Network, Toronto, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada
- Temerty Center for AI Research and Education in Medicine, University of Toronto, Toronto, Canada
| | - Frances Chung
- Department of Anesthesia and Pain Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Azadeh Yadollahi
- KITE-Toronto Rehabilitation Institute, University Health Network, Toronto, Canada.
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada.
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Pinna GD, Maestri R, Robbi E, Guazzotti G, Caporotondi A, La Rovere MT. Nocturnal hypoxemic burden in patients with heart failure: Emerging prognostic role of its nonspecific component. Am Heart J 2024; 276:1-11. [PMID: 38972337 DOI: 10.1016/j.ahj.2024.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 06/19/2024] [Accepted: 06/29/2024] [Indexed: 07/09/2024]
Abstract
BACKGROUND Nocturnal hypoxemic burden has been shown to be a robust, independent predictor of all-cause mortality in patients with heart failure and reduced ejection fraction (HFrEF) and to occur in a severe form even in patients with low or negligible frequency of respiratory events (apneas/hypopneas). This suggests the existence of two components of hypoxemic burden: one unrelated to respiratory events and the other related. The aim of this study was to characterize these two components and to evaluate their prognostic value. METHODS Nocturnal hypoxemic burden was assessed in a cohort of 280 patients with HFrEF by measuring the percentage of sleep with an oxygen saturation (SpO2) <90% (T90), and the area of the SpO2 curve below 90% (Area90). Both indices were also recalculated within the sleep segments associated with respiratory events (event-related component: T90Eve, Area90Eve) and outside these segments (nonspecific component: T90Nspec, Area90Nspec). The outcome of the survival analysis (Cox regression) was all-cause mortality. RESULTS During a median follow-up of 60 months, 87 patients died. T90, Area90, and their components were significant in univariate analysis (P < .05 all). However, when these indices were adjusted for known risk factors, T90, T90Nspec, Area90, and Area90Nspec remained statistically significant (P = .018, hazard ratio (HR)=1.12, 95%CI=(1.02, 1.23); P = .007, HR=1.20, 95% CI = [1.05, 1.37]; P = .020, HR = 1.05, 95% CI = [1.01, 1.10]; P = .0006, HR = 1.15, 95% CI = [1.06, 1.25]), whereas T90Eve and Area90Eve did not (P = .27, P = .28). These results were internally validated using bootstrap resampling. CONCLUSIONS By demonstrating a significant independent association of nonspecific hypoxemic burden with all-cause mortality, this study suggests that this component of total nocturnal hypoxemic burden may play an important prognostic role in patients with HFrEF.
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Affiliation(s)
- Gian Domenico Pinna
- Department of Biomedical Engineering of Montescano Institute, Istituti Clinici Scientifici Maugeri IRCCS, Laboratory for the Study of Ventilatory Instability, Montescano, PV, Italy.
| | - Roberto Maestri
- Department of Biomedical Engineering of Montescano Institute, Istituti Clinici Scientifici Maugeri IRCCS, Laboratory for the Study of Ventilatory Instability, Montescano, PV, Italy
| | - Elena Robbi
- Istituti Clinici Scientifici Maugeri IRCCS, Respiratory Physiopathology and Sleep Unit of Montescano Institute, Montescano, PV, Italy
| | - Giampaolo Guazzotti
- Istituti Clinici Scientifici Maugeri IRCCS, Department of Cardiology of Montescano Institute, Montescano, PV, Italy
| | - Angelo Caporotondi
- Istituti Clinici Scientifici Maugeri IRCCS, Department of Cardiology of Montescano Institute, Montescano, PV, Italy
| | - Maria Teresa La Rovere
- Istituti Clinici Scientifici Maugeri IRCCS, Department of Cardiology of Montescano Institute, Montescano, PV, Italy
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Heinzinger CM, Lapin B, Thompson NR, Li Y, Milinovich A, May AM, Pena Orbea C, Faulx M, Van Wagoner DR, Chung MK, Foldvary-Schaefer N, Mehra R. Novel Sleep Phenotypic Profiles Associated With Incident Atrial Fibrillation in a Large Clinical Cohort. JACC Clin Electrophysiol 2024:S2405-500X(24)00451-1. [PMID: 39023484 DOI: 10.1016/j.jacep.2024.05.027] [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: 04/10/2024] [Accepted: 05/02/2024] [Indexed: 07/20/2024]
Abstract
BACKGROUND While sleep disorders are implicated in atrial fibrillation (AF), the interplay of physiologic alterations and symptoms remains unclear. Sleep-based phenotypes can account for this complexity and translate to actionable approaches to identify at-risk patients and therapeutic interventions. OBJECTIVES This study hypothesized discrete phenotypes of symptoms and polysomnography (PSG)-based data differ in relation to incident AF. METHODS Data from the STARLIT (sleep Signals, Testing, And Reports LInked to patient Traits) registry on Cleveland Clinic patients (≥18 years of age) who underwent PSG from November 27, 2004, to December 30,2015, were retrospectively examined. Phenotypes were identified using latent class analysis of symptoms and PSG-based measures of sleep-disordered breathing and sleep architecture. Phenotypes were included as the primary predictor in a multivariable-adjusted Cox proportional hazard models for incident AF. RESULTS In our cohort (N = 43,433, age 51.8 ± 14.5 years, 51.9% male, 74.9% White), 7.3% (n = 3,166) had baseline AF. Over a 7.6- ± 3.4-year follow-up period, 8.9% (n = 3,595) developed incident AF. Five phenotypes were identified. The hypoxia subtype (n = 3,245) had 48% increased incident AF (HR: 1.48; 95% CI: 1.34-1.64), the apneas + arousals subtype (n = 4,592) had 22% increased incident AF (HR: 1.22; 95% CI: 1.10-1.35), and the short sleep + nonrapid eye movement subtype (n = 6,126) had 11% increased incident AF (HR: 1.11; 95% CI: 1.01-1.22) compared with long sleep + rapid eye movement (n = 26,809), the reference group. The hypopneas subtype (n = 2,661) did not differ from reference (HR: 0.89; 95% CI: 0.77-1.03). CONCLUSIONS Consistent with prior evidence supporting hypoxia as an AF driver and cardiac risk of the sleepy phenotype, this constellation of symptoms and physiologic alterations illustrates vulnerability for AF development, providing potential value in enhancing our understanding of integrated sleep-specific symptoms and physiologic risk of atrial arrhythmogenesis.
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Affiliation(s)
| | - Brittany Lapin
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA; Neurological Institute Center for Outcomes Research and Evaluation, Cleveland Clinic, Cleveland, Ohio, USA
| | - Nicolas R Thompson
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA; Neurological Institute Center for Outcomes Research and Evaluation, Cleveland Clinic, Cleveland, Ohio, USA
| | - Yadi Li
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA; Neurological Institute Center for Outcomes Research and Evaluation, Cleveland Clinic, Cleveland, Ohio, USA
| | - Alex Milinovich
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Anna M May
- Geriatric Research Education and Clinical Center, VA Northeast Ohio Healthcare System, Cleveland, Ohio, USA
| | - Cinthya Pena Orbea
- Sleep Disorders Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Michael Faulx
- Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | | | - Mina K Chung
- Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA; Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | | | - Reena Mehra
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington, Seattle, Washington, USA.
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11
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Nilius G, Farid-Moayer M, Lin CM, Knaack L, Wang YP, Dellweg D, Stoohs R, Ficker J, Randerath W, Specht MB, Galetke W, Schneider H. Multi-center safety and efficacy study of a negative-pressure intraoral device in obstructive sleep apnea. Sleep Med 2024; 119:139-146. [PMID: 38678757 DOI: 10.1016/j.sleep.2024.04.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 04/10/2024] [Accepted: 04/11/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND Intraoral devices, with or without negative oral pressure, can stabilize the oropharynx and reduce obstructive sleep apneas. We tested the hypothesis that treatment with the iNAP® Sleep Therapy System, which applies negative oral pressure through an intra-oral appliance, would reduce the severity of obstructive sleep apnea in a multi-center, prospective, first-night-randomized-order cross-over study. METHODS/PATIENTS 130 patients fulfilled the entry criteria (age <75, AHI 15-55, BMI <33), and 63 entered the primary endpoint cohort (Total Sleep Time ≥4 h/night on the baseline polysomnogram and an oral negative vacuum time maintained by iNAP® ≥ 4 h/night and total sleep time ≥4 h/night during the first treatment study). 54 patients completed a second treatment sleep study at least 28 days after the first sleep study. RESULTS Among the primary endpoint cohort (n = 63, age = 53.2 ± 11.3, BMI = 27.1 ± 2.8), 33 patients (52 %; 95 % confidence interval = 40%-64 %, p < 0.001) responded to iNAP treatment according to the Sher criteria (>50 % reduction in AHI and an AHI ≤20 events/hr). The average oxy-hemoglobin saturation increased by 1-2%, and the average percent oxygen desaturation decreased (was less severe) by 1 % while using the iNAP device. The incidence of adverse events, all self-limited, was low. The reduction in the apnea-hypopnea index was durable over the 28-day study. Patients used iNAP on average 5.6 h per night during the study period. CONCLUSION The iNAP® Sleep Therapy System achieved a durable benefit in more than half the patients with moderate to severe obstructive sleep apnea and may be considered in patients who object to or failed continuous positive airway pressure. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02698059.
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Affiliation(s)
- Georg Nilius
- Kliniken Essen-Mitte, Evang. Huyssens-Stiftung/Knappschaft gGmbH, Essen-Mitte, Germany; University Witten-Herdecke, Witten, Germany.
| | | | - Chia-Mo Lin
- Shin Kong Wu Ho-Su Memorial Hospital, Taipei City, Taiwan
| | | | - Ying-Piao Wang
- Mackay Memorial Hospital, Taipei Branch, Taipei City, Taiwan
| | - Dominic Dellweg
- Fachkrankenhaus Kloster Grafschaft GmbH, Schmallenberg, Germany
| | | | - Joachim Ficker
- 3rd Medical Department (Respiratory Medicine) Klinikum Nuernberg, Paracelsus Medical University, Nuernberg, Germany
| | | | - Markus B Specht
- Zentrum für interdisziplinnäre Schlafmedizin, DKD Wiesbaden, Wiesbaden, Germany
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12
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Raju S, Siddharthan T, McCormack MC, Patel SR, Kunisaki KM, D'Souza G, Cho JHJ, Stosor V, Morris A, Margolick JB, Brown TT, Punjabi NM. Influence of Impaired Diffusing Capacity and Sleep-disordered Breathing on Nocturnal Hypoxemia and Health Outcomes in Men with and without Human Immunodeficiency Virus. Ann Am Thorac Soc 2024; 21:1085-1093. [PMID: 38498872 DOI: 10.1513/annalsats.202309-757oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 03/18/2024] [Indexed: 03/20/2024] Open
Abstract
Rationale: Nocturnal hypoxemia is common in sleep-disordered breathing (SDB) and is associated with increased morbidity and mortality. Although impaired diffusing capacity of the lung for carbon monoxide (DlCO) is associated with daytime hypoxemia, its influence on SDB-related nocturnal hypoxemia is not known. Objectives: To characterize the effects of DlCO impairment on SDB-related nocturnal hypoxemia and associated health outcomes. Methods: Data from a multicenter cohort of men with and without human immunodeficiency virus (HIV) infection, with concomitant measures of DlCO and home-based polysomnography (n = 544), were analyzed. Multivariable quantile regression models characterized associations between DlCO and several measures of SDB-related hypoxemia (e.g., total sleep time with oxygen saturation as measured by pulse oximetry [SpO2] < 90% [T90]). Structural equation models were used to assess associations of impaired DlCO and SDB-related hypoxemia measures with prevalent hypertension and type 2 diabetes. Results: DlCO impairment (<80% predicted) was associated with sleep-related hypoxemia. Participants with severe SDB (apnea-hypopnea index ⩾ 30 events/h) and impaired DlCO had higher T90 (median difference, 15.0% [95% confidence interval (CI), 10.3% to 19.7%]) and average SDB-related desaturation (median difference, 1.0 [95% CI, 0.5 to 1.5]) and lower nadir SpO2 (median difference, -8.2% [95% CI, -11.4% to -4.9%]) and average SpO2 during sleep (median difference, -1.1% [95% CI, -2.1% to -0.01%]) than those with severe SDB and preserved DlCO. Higher T90 was associated with higher adjusted odds of prevalent hypertension (odds ratio, 1.39 [95% CI, 1.14 to 1.70]) and type 2 diabetes (odds ratio, 1.25 [95% CI, 1.07 to 1.46]). Conclusions: DlCO impairment in severe SDB was associated with sleep-related hypoxemia, prevalent hypertension, and type 2 diabetes. Assessment of SDB should be considered in those with impaired DlCO to guide testing and risk stratification strategies.
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Affiliation(s)
- Sarath Raju
- Division of Pulmonary and Critical Care Medicine and
| | - Trishul Siddharthan
- Division of Pulmonary and Critical Care Medicine and
- Division of Pulmonary and Critical Care Medicine, Miller School of Medicine, University of Miami, Miami, Florida
| | | | - Sanjay R Patel
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Ken M Kunisaki
- Section of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Minneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota
- Divison of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Minnesota, Minneapolis, Minnesota
| | - Gypsyamber D'Souza
- Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Joshua Hyong-Jin Cho
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California; and
| | - Valentina Stosor
- Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Alison Morris
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Joseph B Margolick
- Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Todd T Brown
- Division of Endocrinology, Diabetes, and Metabolism, School of Medicine, and
| | - Naresh M Punjabi
- Division of Pulmonary and Critical Care Medicine and
- Division of Pulmonary and Critical Care Medicine, Miller School of Medicine, University of Miami, Miami, Florida
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13
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Briançon-Marjollet A, Joyeux-Faure M, Ben Messaoud R, Bailly S, Ngo V, Colombet S, Gaucher J, Baillieul S, Tamisier R, Pépin JL. Long-term incident severe outcomes in a prospective cohort of non-obese obstructive sleep apnoea patients free of comorbidities at inclusion. ERJ Open Res 2024; 10:00930-2023. [PMID: 38978551 PMCID: PMC11228602 DOI: 10.1183/23120541.00930-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 03/20/2024] [Indexed: 07/10/2024] Open
Abstract
In a prospective cohort of OSA patients without comorbidities at inclusion, age, mean blood pressure, mean oxygen saturation and minimum oxygen saturation were associated with long-term incidence of severe health events https://bit.ly/3VyYEzC.
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Affiliation(s)
- Anne Briançon-Marjollet
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, HP2 Laboratory, Grenoble, France
- These authors contributed equally
| | - Marie Joyeux-Faure
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, HP2 Laboratory, Grenoble, France
- Pole Thorax et Vaisseaux, Laboratoire EFCR (Explorations Fonctionnelles Cardiovasculaire et Respiratoire), CHU Grenoble Alpes, Grenoble, France
- These authors contributed equally
| | - Raoua Ben Messaoud
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, HP2 Laboratory, Grenoble, France
- Pole Thorax et Vaisseaux, Laboratoire EFCR (Explorations Fonctionnelles Cardiovasculaire et Respiratoire), CHU Grenoble Alpes, Grenoble, France
| | - Sébastien Bailly
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, HP2 Laboratory, Grenoble, France
- Pole Thorax et Vaisseaux, Laboratoire EFCR (Explorations Fonctionnelles Cardiovasculaire et Respiratoire), CHU Grenoble Alpes, Grenoble, France
| | - Van Ngo
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, HP2 Laboratory, Grenoble, France
- Pole Thorax et Vaisseaux, Laboratoire EFCR (Explorations Fonctionnelles Cardiovasculaire et Respiratoire), CHU Grenoble Alpes, Grenoble, France
| | - Sabrina Colombet
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, HP2 Laboratory, Grenoble, France
| | - Jonathan Gaucher
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, HP2 Laboratory, Grenoble, France
| | - Sébastien Baillieul
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, HP2 Laboratory, Grenoble, France
- Pole Thorax et Vaisseaux, Laboratoire EFCR (Explorations Fonctionnelles Cardiovasculaire et Respiratoire), CHU Grenoble Alpes, Grenoble, France
| | - Renaud Tamisier
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, HP2 Laboratory, Grenoble, France
- Pole Thorax et Vaisseaux, Laboratoire EFCR (Explorations Fonctionnelles Cardiovasculaire et Respiratoire), CHU Grenoble Alpes, Grenoble, France
| | - Jean Louis Pépin
- Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, HP2 Laboratory, Grenoble, France
- Pole Thorax et Vaisseaux, Laboratoire EFCR (Explorations Fonctionnelles Cardiovasculaire et Respiratoire), CHU Grenoble Alpes, Grenoble, France
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14
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Ni YN, Lei F, Tang X, Liang Z, Thomas RJ. Sleep apnea-related hypoxic burden as a predictor of pregnancy and neonatal outcome. Sleep Med 2024; 119:432-437. [PMID: 38781666 DOI: 10.1016/j.sleep.2024.05.012] [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: 02/15/2024] [Revised: 05/04/2024] [Accepted: 05/04/2024] [Indexed: 05/25/2024]
Abstract
STUDY OBJECTIVES To determine the clinical impact of sleep apnea-related hypoxic burden in pregnant women and neonates. METHODS This is a secondary analysis of the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b) study. Hypoxia burden was calculated from the home sleep apnea test (HSAT) and defined as the total area under respiratory events. Logistic regression analysis assessed the relationship between hypoxia burden and pregnancy/neonatal outcomes. RESULTS A total of 3006 subjects in the early term, and 2326 subjects in the middle term of pregnancy, had HSAT. A hypoxic burden greater than 6.8%min was present in 1740 at early term and associated with a higher risk of preeclampsia (odds ratio 1.297, 95 % confidence interval 1.032-1.630, p: 0.026) after adjusted by obstructive sleep apnea (OSA) severity. In the middle term, 1058 subjects had a hypoxia burden more than 11.8%min, which was a predictor for higher incidence of gestational diabetes (OR 1.795, 95 % CI 1.097-2.938, p: 0.020) and an Apgar <7 at 1 min (OR 1.446, 95 % CI 1.079-1.939, p: 0.012) after adjusted by obstructive sleep apnea (OSA) severity. After adjusted by oxygenation disturbance index, HB was not related with Apgar <7 at 1 min (p:0.565). CONCLUSIONS The hypoxic burden is an independent predictor for preeclampsia and gestational diabetes and an Apgar <7 at 1 min.
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Affiliation(s)
- Yue-Nan Ni
- Department of Respiratory and Critical Care, West China School of Medicine and West China Hospital, Sichuan University, 610041, China; Department of Respiratory Care, West China School of Medicine and West China Hospital, Sichuan University, 610041, China.
| | - Fei Lei
- Sleep Medicine Center, West China School of Medicine and West China Hospital, Sichuan University, 610041, China.
| | - Xiangdong Tang
- Sleep Medicine Center, West China School of Medicine and West China Hospital, Sichuan University, 610041, China.
| | - Zongan Liang
- Department of Respiratory Care, West China School of Medicine and West China Hospital, Sichuan University, 610041, China.
| | - Robert Joseph Thomas
- Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
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15
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Soria Robles AI, Aguado Blanco C, Juárez España M, Andrés Pretel F, Massó Núñez ML, Vizcaíno García MS, Abizanda P, Coloma Navarro R. Obstructive Sleep Apnea and Oxygenation in Very Old Adults: A Propensity-Score Match Study. J Am Med Dir Assoc 2024; 25:105023. [PMID: 38763163 DOI: 10.1016/j.jamda.2024.105023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 04/05/2024] [Accepted: 04/05/2024] [Indexed: 05/21/2024]
Abstract
OBJECTIVES The prevalence of obstructive sleep apnea (OSA) escalates with advancing age. Although the apnea-hypopnea index (AHI) is the standard measure for assessing OSA severity, it does not account for additional oximetric parameters that may influence disease progression in older adults. This study aimed to evaluate disparities in respiratory polygraphy/polysomnography parameters among patients with OSA, stratified by age and sex. DESIGN Retrospective propensity score-matched study. SETTING AND PARTICIPANTS Sleep unit of a university hospital; 11,747 participants, 210 aged 80 years or older. METHODS Propensity score matching was used to establish 4 age cohorts, with the 210 oldest adults serving as the reference group. Primary outcome variables included the total sleep time with oxygen saturation (SaO2) below 90% (T90), average SaO2, minimum SaO2, and AHI. The association between T90 and AHI, as well as the severity of OSA, was assessed across the 4 age categories. RESULTS Despite comparable AHI scores, the oldest patients with OSA exhibited the highest T90 and the lowest SaO2 levels compared to younger counterparts. The proportion of patients with severe OSA and T90 in the highest quartile increased with age: 12.5% in young adults, 14.8% in adults, 21.7% in the old, and 34% in the very old participants (P < .001). old and very old patients had a greater likelihood of being in the most severe OSA category compared to the younger ones, with odds ratios (OR) 2.57 (95% CI 1.42-4.65) and 5.52 (95% CI 3.06-9.97), respectively. These patterns were more pronounced in women of advanced age, indicating a sex-specific variation in disease severity with increasing age. CONCLUSIONS AND IMPLICATIONS Old patients with OSA, particularly women, demonstrate elevated T90 and reduced SaO2 levels, irrespective of AHI, indicating a hypoxemia increased risk. The diagnostic criteria, management, and outcomes for OSA may require adaptations to address the unique needs of very old populations.
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Affiliation(s)
| | | | - María Juárez España
- Geriatrics Department, Complejo Hospitalario Universitario de Albacete, Albacete, Spain
| | | | - María Llanos Massó Núñez
- Sleep Unit, Neumology Department, Complejo Hospitalario Universitario de Albacete, Albacete, Spain
| | | | - Pedro Abizanda
- Geriatrics Department, Complejo Hospitalario Universitario de Albacete, Albacete, Spain; Facultad de Medicina de Albacete, Universidad de Castilla-La Mancha, Albacete, Spain; CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain.
| | - Ramón Coloma Navarro
- Sleep Unit, Neumology Department, Complejo Hospitalario Universitario de Albacete, Albacete, Spain.
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16
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Cohen O, Sánchez-de-la-Torre M, Al-Taie Z, Khan S, Kundel V, Kovacic JC, Gracia-Lavedan E, De Batlle J, Nadkarni G, Barbé F, Suárez-Fariñas M, Shah NA. Heterogeneous Effects of Continuous Positive Airway Pressure in Non-Sleepy Obstructive Sleep Apnea on Cardiovascular Disease Outcomes: Post Hoc Machine Learning Analysis of the ISAACC Trial (ECSACT Study). Ann Am Thorac Soc 2024; 21:1074-1084. [PMID: 38358332 DOI: 10.1513/annalsats.202309-799oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 02/13/2024] [Indexed: 02/16/2024] Open
Abstract
Rationale: Randomized controlled trials of continuous positive airway pressure (CPAP) therapy for cardiovascular disease (CVD) prevention among patients with obstructive sleep apnea (OSA) have been largely neutral. However, given that OSA is a heterogeneous disease, there may be unidentified subgroups demonstrating differential treatment effects. Objectives: We sought to apply a novel data-drive approach to identify nonsleepy OSA subgroups with heterogeneous effects of CPAP on CVD outcomes within the Impact of Sleep Apnea Syndrome in the Evolution of Acute Coronary Syndrome (ISAACC) study. Methods: Participants were randomly partitioned into two datasets. One for training (70%) our machine-learning model and a second (30%) for validation of significant findings. Model-based recursive partitioning was applied to identify subgroups with heterogeneous treatment effects. Survival analysis was conducted to compare treatment (CPAP vs. usual care [UC]) outcomes within subgroups. Results: A total of 1,224 nonsleepy OSA participants were included. Of 55 features entered into our model, only two appeared in the final model (i.e., average OSA event duration and hypercholesterolemia). Among participants at or below the model-derived average event duration threshold (19.5 s), CPAP was protective for a composite of CVD events (training hazard ratio [HR], 0.46; P = 0.002). For those with longer event duration (>19.5 s), an additional split occurred by hypercholesterolemia status. Among participants with longer event duration and hypercholesterolemia, CPAP resulted in more CVD events compared with UC (training HR, 2.24; P = 0.011). The point estimate for this harmful signal was also replicated in the testing dataset (HR, 1.83; P = 0.118). Conclusions: We discovered subgroups of nonsleepy OSA participants within the ISAACC study with heterogeneous effects of CPAP. Among the training dataset, those with longer OSA event duration and hypercholesterolemia had nearly 2.5 times more CVD events with CPAP compared with UC, whereas those with shorter OSA event duration had roughly half the rate of CVD events if randomized to CPAP.
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Affiliation(s)
- Oren Cohen
- Division of Pulmonary, Critical Care, and Sleep Medicine
| | - Manuel Sánchez-de-la-Torre
- Precision Medicine in Chronic Diseases, University Hospital Arnau de Vilanova-Santa Maria, IRB Lleida, Department of Nursing and Physiotherapy, Faculty of Nursing and Physiotherapy, University of Lleida, Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Madrid, Spain
| | - Zainab Al-Taie
- Center for Biostatistics, Department of Population Health Science and Policy
| | - Samira Khan
- Division of Pulmonary, Critical Care, and Sleep Medicine
| | | | - Jason C Kovacic
- Cardiovascular Research Institute, and
- Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia
- St. Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia; and
| | - Esther Gracia-Lavedan
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Madrid, Spain
- Translational Research in Respiratory Medicine, University Hospital Arnau de Vilanova-Santa Maria, IRB Lleida, Lleida, Spain
| | - Jordi De Batlle
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Madrid, Spain
- Translational Research in Respiratory Medicine, University Hospital Arnau de Vilanova-Santa Maria, IRB Lleida, Lleida, Spain
| | - Girish Nadkarni
- Division of Data Driven and Digital Medicine (D3M), Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ferran Barbé
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Madrid, Spain
- Translational Research in Respiratory Medicine, University Hospital Arnau de Vilanova-Santa Maria, IRB Lleida, Lleida, Spain
| | | | - Neomi A Shah
- Division of Pulmonary, Critical Care, and Sleep Medicine
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17
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Pahari P, Korkalainen H, Arnardóttir ES, Islind AS, August E, Oksenberg A, Töyräs J, Leppänen T, Nikkonen S. Prolonged lung-to-finger circulation time indicates an increased risk of intermittent hypoxaemia in sleep apnoea patients. ERJ Open Res 2024; 10:01051-2023. [PMID: 39040584 PMCID: PMC11261378 DOI: 10.1183/23120541.01051-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 03/06/2024] [Indexed: 07/24/2024] Open
Abstract
Introduction Intermittent hypoxaemia is closely associated with cardiovascular dysfunction and may be a more accurate indicator of obstructive sleep apnoea (OSA) severity than conventional metrics. Another key factor is the lung-to-finger circulation time (LFCt), defined as the duration from the cessation of a respiratory event to the lowest point of oxygen desaturation. LFCt serves as a surrogate marker for circulatory delay and is linked with cardiovascular function. Yet, the specific associations between respiratory and hypoxaemia characteristics and LFCt in patients with OSA remain unclear. This study aims to investigate these associations, ultimately contributing to a more nuanced understanding of OSA severity. Methods The study comprised 878 in-lab polysomnographies of patients with suspected OSA. The conventional OSA metrics were computed along with nine hypoxaemia metrics and then divided into quartiles (Q1-Q4) based on respiratory event duration. In addition, these were further divided into subquartiles based on LFCt. The empirical cumulative distribution functions (CDFs) and linear regression models were used to investigate the association between desaturation metrics and LFCt. Results The results showed that prolonged LFCt was associated with increased hypoxic severity. Based on CDFs, the hypoxic severity significantly increased with longer LFCt despite the duration of respiratory events. Furthermore, fall duration was elevated in patients with longer LFCt (Q1- desaturation fall duration (FallDur): 14.6 s; Q4-FallDur: 29.8 s; p<0.0001). The regression models also showed significant association between hypoxic severity and LFCt (Q1-desaturation fall slope (FallSlope): β=-3.224; Q4-FallSlope: β=-6.178; p<0.0001). Discussion Considering LFCt along with desaturation metrics might be useful in estimating the association between the severity of OSA, physiological consequences of respiratory events and cardiac health.
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Affiliation(s)
- Purbanka Pahari
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Henri Korkalainen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Erna Sif Arnardóttir
- Reykjavik University Sleep Institute, School of Technology, Reykjavik University, Reykjavik, Iceland
- Landspitali, The National University Hospital of Iceland, Reykjavik, Iceland
| | - Anna Sigridur Islind
- Reykjavik University Sleep Institute, School of Technology, Reykjavik University, Reykjavik, Iceland
| | - Elias August
- Reykjavik University Sleep Institute, School of Technology, Reykjavik University, Reykjavik, Iceland
| | - Arie Oksenberg
- Sleep Disorders Unit, Loewenstein Hospital Rehabilitation Center, Raanana, Israel
| | - Juha Töyräs
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia
- Science Service Center, Kuopio University Hospital, Kuopio, Finland
| | - Timo Leppänen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
- School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia
| | - Sami Nikkonen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
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Kline CE, Edwards BA. Impacts of exercise on inflammatory markers in individuals with OSA: more questions than answers. Sleep Biol Rhythms 2024; 22:297-298. [PMID: 38962801 PMCID: PMC11217253 DOI: 10.1007/s41105-024-00531-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/05/2024]
Affiliation(s)
- Christopher E. Kline
- Department of Health and Human Development, University of Pittsburgh, Pittsburgh, Pennsylvania USA
| | - Bradley A. Edwards
- Department of Physiology, Biomedical Discovery Institute, Monash University, Melbourne, VIC Australia
- School of Psychological Sciences, Monash University, Melbourne, VIC Australia
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Huang W, Zhou E, Zhang J, Zhou T, Wang X, Shen J, Zhu H, Guan J, Yi H, Yin S. Association between multiple sleep dimensions in obstructive sleep apnea and an early sign of atherosclerosis. J Clin Sleep Med 2024; 20:1093-1104. [PMID: 38420989 PMCID: PMC11217641 DOI: 10.5664/jcsm.11090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 02/14/2024] [Accepted: 02/14/2024] [Indexed: 03/02/2024]
Abstract
STUDY OBJECTIVES We investigated the associations between multiple sleep dimensions in obstructive sleep apnea (OSA) and carotid intima-media thickness (CIMT), an early sign of atherosclerosis, in participants from the Shanghai Sleep Health Study. METHODS We performed secondary analysis of SSHS in a group of subjects who underwent ultrasound evaluation from 2018 to 2022. Multiple sleep dimensions were measured using standard polysomnography. CIMT was measured from ultrasound images as an early sign of atherosclerosis. Multivariable-adjusted linear regression and logistic regression analyses were performed to detect associations between sleep traits in OSA and CIMT. RESULTS CIMT was found to increase with increasing severity of OSA (P < .001). When adjusted for conventional risk factors, microarousal index and hypoxic burden were positively correlated with CIMT, while slow-wave sleep and mean apnea-hypopnea event duration showed a negative correlation with CIMT (all P < .01). In binary logistic regression analysis, participants with a high microarousal index, less slow-wave sleep, higher hypoxic burden, and shorter mean apnea-hypopnea event duration showed a higher prevalence of thick CIMT with no evidence of interaction by age, sex, or body mass index (P-interaction > .05). CONCLUSIONS Patients with more severe sleep fragmentation, more severe hypoxemia, and increased arousability were more likely to have increased CIMT after adjusting for potential confounders. It is important to evaluate novel indices of sleep fragmentation, hypoxemia, and arousability in OSA for early detection and prevention of cardiovascular disease, including stroke. CLINICAL TRIAL REGISTRATION Registry: Chinese Clinical Trial Registry; Name: Establishing Bio-bank and Cohort of OSAHS in Hospital-based Population; URL: http://www.chictr.org.cn/showproj.aspx?proj=43057; Identifier: ChiCTR1900025714. CITATION Huang W, Zhou E, Zhang J, et al. Association between multiple sleep dimensions in obstructive sleep apnea and an early sign of atherosclerosis. J Clin Sleep Med. 2024;20(7):1093-1104.
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Affiliation(s)
- Weijun Huang
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Sleep-Disordered Breathing, Shanghai, China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Enhui Zhou
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Sleep-Disordered Breathing, Shanghai, China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Jingyu Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Sleep-Disordered Breathing, Shanghai, China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Tianjiao Zhou
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Sleep-Disordered Breathing, Shanghai, China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoting Wang
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Sleep-Disordered Breathing, Shanghai, China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Jinhong Shen
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Sleep-Disordered Breathing, Shanghai, China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Huaming Zhu
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Sleep-Disordered Breathing, Shanghai, China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Jian Guan
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Sleep-Disordered Breathing, Shanghai, China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Hongliang Yi
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Sleep-Disordered Breathing, Shanghai, China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Shankai Yin
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Sleep-Disordered Breathing, Shanghai, China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
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20
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Malhotra A, Grunstein RR, Fietze I, Weaver TE, Redline S, Azarbarzin A, Sands SA, Schwab RJ, Dunn JP, Chakladar S, Bunck MC, Bednarik J. Tirzepatide for the Treatment of Obstructive Sleep Apnea and Obesity. N Engl J Med 2024. [PMID: 38912654 DOI: 10.1056/nejmoa2404881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/25/2024]
Abstract
BACKGROUND Obstructive sleep apnea is characterized by disordered breathing during sleep and is associated with major cardiovascular complications; excess adiposity is an etiologic risk factor. Tirzepatide may be a potential treatment. METHODS We conducted two phase 3, double-blind, randomized, controlled trials involving adults with moderate-to-severe obstructive sleep apnea and obesity. Participants who were not receiving treatment with positive airway pressure (PAP) at baseline were enrolled in trial 1, and those who were receiving PAP therapy at baseline were enrolled in trial 2. The participants were assigned in a 1:1 ratio to receive either the maximum tolerated dose of tirzepatide (10 mg or 15 mg) or placebo for 52 weeks. The primary end point was the change in the apnea-hypopnea index (AHI, the number of apneas and hypopneas during an hour of sleep) from baseline. Key multiplicity-controlled secondary end points included the percent change in AHI and body weight and changes in hypoxic burden, patient-reported sleep impairment and disturbance, high-sensitivity C-reactive protein (hsCRP) concentration, and systolic blood pressure. RESULTS At baseline, the mean AHI was 51.5 events per hour in trial 1 and 49.5 events per hour in trial 2, and the mean body-mass index (BMI, the weight in kilograms divided by the square of the height in meters) was 39.1 and 38.7, respectively. In trial 1, the mean change in AHI at week 52 was -25.3 events per hour (95% confidence interval [CI], -29.3 to -21.2) with tirzepatide and -5.3 events per hour (95% CI, -9.4 to -1.1) with placebo, for an estimated treatment difference of -20.0 events per hour (95% CI, -25.8 to -14.2) (P<0.001). In trial 2, the mean change in AHI at week 52 was -29.3 events per hour (95% CI, -33.2 to -25.4) with tirzepatide and -5.5 events per hour (95% CI, -9.9 to -1.2) with placebo, for an estimated treatment difference of -23.8 events per hour (95% CI, -29.6 to -17.9) (P<0.001). Significant improvements in the measurements for all prespecified key secondary end points were observed with tirzepatide as compared with placebo. The most frequently reported adverse events with tirzepatide were gastrointestinal in nature and mostly mild to moderate in severity. CONCLUSIONS Among persons with moderate-to-severe obstructive sleep apnea and obesity, tirzepatide reduced the AHI, body weight, hypoxic burden, hsCRP concentration, and systolic blood pressure and improved sleep-related patient-reported outcomes. (Funded by Eli Lilly; SURMOUNT-OSA ClinicalTrials.gov number, NCT05412004.).
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Affiliation(s)
- Atul Malhotra
- From the University of California, San Diego, La Jolla (A.M.); Woolcock Institute of Medical Research, Macquarie University, Royal Prince Alfred Hospital, and the University of Sydney - all in Sydney (R.R.G.); the Center of Sleep Medicine, Charité University Hospital Berlin, Berlin (I.F.); the College of Nursing, University of Illinois Chicago, Chicago (T.E.W.); the School of Nursing (T.E.W.) and Perelman School of Medicine (R.J.S.), University of Pennsylvania, Philadelphia; the Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, and Harvard Medical School - both in Boston (S.R., A.A., S.A.S.); and Eli Lilly, Indianapolis (J.P.D., S.C., M.C.B., J.B.)
| | - Ronald R Grunstein
- From the University of California, San Diego, La Jolla (A.M.); Woolcock Institute of Medical Research, Macquarie University, Royal Prince Alfred Hospital, and the University of Sydney - all in Sydney (R.R.G.); the Center of Sleep Medicine, Charité University Hospital Berlin, Berlin (I.F.); the College of Nursing, University of Illinois Chicago, Chicago (T.E.W.); the School of Nursing (T.E.W.) and Perelman School of Medicine (R.J.S.), University of Pennsylvania, Philadelphia; the Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, and Harvard Medical School - both in Boston (S.R., A.A., S.A.S.); and Eli Lilly, Indianapolis (J.P.D., S.C., M.C.B., J.B.)
| | - Ingo Fietze
- From the University of California, San Diego, La Jolla (A.M.); Woolcock Institute of Medical Research, Macquarie University, Royal Prince Alfred Hospital, and the University of Sydney - all in Sydney (R.R.G.); the Center of Sleep Medicine, Charité University Hospital Berlin, Berlin (I.F.); the College of Nursing, University of Illinois Chicago, Chicago (T.E.W.); the School of Nursing (T.E.W.) and Perelman School of Medicine (R.J.S.), University of Pennsylvania, Philadelphia; the Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, and Harvard Medical School - both in Boston (S.R., A.A., S.A.S.); and Eli Lilly, Indianapolis (J.P.D., S.C., M.C.B., J.B.)
| | - Terri E Weaver
- From the University of California, San Diego, La Jolla (A.M.); Woolcock Institute of Medical Research, Macquarie University, Royal Prince Alfred Hospital, and the University of Sydney - all in Sydney (R.R.G.); the Center of Sleep Medicine, Charité University Hospital Berlin, Berlin (I.F.); the College of Nursing, University of Illinois Chicago, Chicago (T.E.W.); the School of Nursing (T.E.W.) and Perelman School of Medicine (R.J.S.), University of Pennsylvania, Philadelphia; the Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, and Harvard Medical School - both in Boston (S.R., A.A., S.A.S.); and Eli Lilly, Indianapolis (J.P.D., S.C., M.C.B., J.B.)
| | - Susan Redline
- From the University of California, San Diego, La Jolla (A.M.); Woolcock Institute of Medical Research, Macquarie University, Royal Prince Alfred Hospital, and the University of Sydney - all in Sydney (R.R.G.); the Center of Sleep Medicine, Charité University Hospital Berlin, Berlin (I.F.); the College of Nursing, University of Illinois Chicago, Chicago (T.E.W.); the School of Nursing (T.E.W.) and Perelman School of Medicine (R.J.S.), University of Pennsylvania, Philadelphia; the Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, and Harvard Medical School - both in Boston (S.R., A.A., S.A.S.); and Eli Lilly, Indianapolis (J.P.D., S.C., M.C.B., J.B.)
| | - Ali Azarbarzin
- From the University of California, San Diego, La Jolla (A.M.); Woolcock Institute of Medical Research, Macquarie University, Royal Prince Alfred Hospital, and the University of Sydney - all in Sydney (R.R.G.); the Center of Sleep Medicine, Charité University Hospital Berlin, Berlin (I.F.); the College of Nursing, University of Illinois Chicago, Chicago (T.E.W.); the School of Nursing (T.E.W.) and Perelman School of Medicine (R.J.S.), University of Pennsylvania, Philadelphia; the Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, and Harvard Medical School - both in Boston (S.R., A.A., S.A.S.); and Eli Lilly, Indianapolis (J.P.D., S.C., M.C.B., J.B.)
| | - Scott A Sands
- From the University of California, San Diego, La Jolla (A.M.); Woolcock Institute of Medical Research, Macquarie University, Royal Prince Alfred Hospital, and the University of Sydney - all in Sydney (R.R.G.); the Center of Sleep Medicine, Charité University Hospital Berlin, Berlin (I.F.); the College of Nursing, University of Illinois Chicago, Chicago (T.E.W.); the School of Nursing (T.E.W.) and Perelman School of Medicine (R.J.S.), University of Pennsylvania, Philadelphia; the Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, and Harvard Medical School - both in Boston (S.R., A.A., S.A.S.); and Eli Lilly, Indianapolis (J.P.D., S.C., M.C.B., J.B.)
| | - Richard J Schwab
- From the University of California, San Diego, La Jolla (A.M.); Woolcock Institute of Medical Research, Macquarie University, Royal Prince Alfred Hospital, and the University of Sydney - all in Sydney (R.R.G.); the Center of Sleep Medicine, Charité University Hospital Berlin, Berlin (I.F.); the College of Nursing, University of Illinois Chicago, Chicago (T.E.W.); the School of Nursing (T.E.W.) and Perelman School of Medicine (R.J.S.), University of Pennsylvania, Philadelphia; the Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, and Harvard Medical School - both in Boston (S.R., A.A., S.A.S.); and Eli Lilly, Indianapolis (J.P.D., S.C., M.C.B., J.B.)
| | - Julia P Dunn
- From the University of California, San Diego, La Jolla (A.M.); Woolcock Institute of Medical Research, Macquarie University, Royal Prince Alfred Hospital, and the University of Sydney - all in Sydney (R.R.G.); the Center of Sleep Medicine, Charité University Hospital Berlin, Berlin (I.F.); the College of Nursing, University of Illinois Chicago, Chicago (T.E.W.); the School of Nursing (T.E.W.) and Perelman School of Medicine (R.J.S.), University of Pennsylvania, Philadelphia; the Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, and Harvard Medical School - both in Boston (S.R., A.A., S.A.S.); and Eli Lilly, Indianapolis (J.P.D., S.C., M.C.B., J.B.)
| | - Sujatro Chakladar
- From the University of California, San Diego, La Jolla (A.M.); Woolcock Institute of Medical Research, Macquarie University, Royal Prince Alfred Hospital, and the University of Sydney - all in Sydney (R.R.G.); the Center of Sleep Medicine, Charité University Hospital Berlin, Berlin (I.F.); the College of Nursing, University of Illinois Chicago, Chicago (T.E.W.); the School of Nursing (T.E.W.) and Perelman School of Medicine (R.J.S.), University of Pennsylvania, Philadelphia; the Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, and Harvard Medical School - both in Boston (S.R., A.A., S.A.S.); and Eli Lilly, Indianapolis (J.P.D., S.C., M.C.B., J.B.)
| | - Mathijs C Bunck
- From the University of California, San Diego, La Jolla (A.M.); Woolcock Institute of Medical Research, Macquarie University, Royal Prince Alfred Hospital, and the University of Sydney - all in Sydney (R.R.G.); the Center of Sleep Medicine, Charité University Hospital Berlin, Berlin (I.F.); the College of Nursing, University of Illinois Chicago, Chicago (T.E.W.); the School of Nursing (T.E.W.) and Perelman School of Medicine (R.J.S.), University of Pennsylvania, Philadelphia; the Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, and Harvard Medical School - both in Boston (S.R., A.A., S.A.S.); and Eli Lilly, Indianapolis (J.P.D., S.C., M.C.B., J.B.)
| | - Josef Bednarik
- From the University of California, San Diego, La Jolla (A.M.); Woolcock Institute of Medical Research, Macquarie University, Royal Prince Alfred Hospital, and the University of Sydney - all in Sydney (R.R.G.); the Center of Sleep Medicine, Charité University Hospital Berlin, Berlin (I.F.); the College of Nursing, University of Illinois Chicago, Chicago (T.E.W.); the School of Nursing (T.E.W.) and Perelman School of Medicine (R.J.S.), University of Pennsylvania, Philadelphia; the Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, and Harvard Medical School - both in Boston (S.R., A.A., S.A.S.); and Eli Lilly, Indianapolis (J.P.D., S.C., M.C.B., J.B.)
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Zoroddu S, Di Lorenzo B, Sotgia S, Paliogiannis P, Mangoni AA, Fois AG, Pirina P, Carru C, Zinellu A. The relationship between haemoglobin concentrations and obstructive sleep apnea syndrome: A systematic review and meta-analysis. Sleep Med 2024; 121:48-57. [PMID: 38917721 DOI: 10.1016/j.sleep.2024.06.018] [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: 03/19/2024] [Revised: 05/30/2024] [Accepted: 06/17/2024] [Indexed: 06/27/2024]
Abstract
BACKGROUND This systematic review and meta-analysis investigates the relationship between haemoglobin (Hb) concentrations and obstructive sleep apnea syndrome (OSAS). METHODS Following PRISMA guidelines, we searched PubMed, EMBASE, and Cochrane Library from inception to March 8, 2024. Eligible studies included cross-sectional, cohort, and case-control designs comparing Hb concentrations in OSAS patients and healthy controls. Two reviewers independently screened records and extracted data. The risk of bias was assessed using the Joanna Briggs Institute checklist. RESULTS A total of 27 studies involving 6499 OSAS subjects and 5199 controls were included. Hb concentrations were significantly higher in OSAS patients compared to controls (SMD: 0.28; 95 % CI: 0.18 to 0.39; I2 = 84.4 %). Subgroup analysis by OSAS severity showed that severe OSAS patients had higher Hb concentrations than those with mild/moderate OSAS. Sensitivity analyses confirmed the robustness of the findings. However, 7 studies reported opposite results, indicating possible regional or methodological differences. CONCLUSION Hb concentrations are elevated in OSAS patients, with higher levels observed in severe cases. The significant heterogeneity and the predominance of studies from Turkey highlight the need for further research in diverse populations. Limitations include potential publication bias and variability in study designs.
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Affiliation(s)
- Stefano Zoroddu
- Department of Biomedical Sciences, University of Sassari, 07100, Sassari, Italy.
| | - Biagio Di Lorenzo
- Department of Biomedical Sciences, University of Sassari, 07100, Sassari, Italy
| | - Salvatore Sotgia
- Department of Biomedical Sciences, University of Sassari, 07100, Sassari, Italy
| | - Panagiotis Paliogiannis
- Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100, Sassari, Italy; Anatomic Pathology and Histology Unit, University Hospital (AOU) of Sassari, 07100, Sassari, Italy
| | - Arduino A Mangoni
- Discipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Bedford Park, SA, 5042, Australia; Department of Clinical Pharmacology, Flinders Medical Centre, Southern Adelaide Local Health Network, Bedford Park, SA, 5042, Australia
| | - Alessandro G Fois
- Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100, Sassari, Italy; Clinical and Interventional Pulmonology, University Hospital of Sassari (AOU), 07100, Sassari, Italy
| | - Pietro Pirina
- Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100, Sassari, Italy; Clinical and Interventional Pulmonology, University Hospital of Sassari (AOU), 07100, Sassari, Italy
| | - Ciriaco Carru
- Department of Biomedical Sciences, University of Sassari, 07100, Sassari, Italy; Medical Oncology Unit, University Hospital (AOU) of Sassari, Italy
| | - Angelo Zinellu
- Department of Biomedical Sciences, University of Sassari, 07100, Sassari, Italy
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22
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Azarbarzin A, Labarca G, Kwon Y, Wellman A. Physiological Consequences of Upper Airway Obstruction in Sleep Apnea. Chest 2024:S0012-3692(24)00708-6. [PMID: 38885898 DOI: 10.1016/j.chest.2024.05.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 05/22/2024] [Accepted: 05/27/2024] [Indexed: 06/20/2024] Open
Abstract
OSA is diagnosed and managed by a metric called the apnea-hypopnea index (AHI). The AHI quantifies the number of respiratory events (apnea or hypopnea), disregarding important information on the characteristics and physiological consequences of respiratory events, including degrees of ventilatory deficit and associated hypoxemia, cardiac autonomic response, and cortical activity. The oversimplification of the disorder by the AHI is considered one of the reasons for divergent findings on the associations of OSA and cardiovascular disease (CVD) in observational and randomized controlled trial studies. Prospective observational cohort studies have demonstrated strong associations of OSA with several cardiovascular diseases, and randomized controlled trials of CPAP intervention have not been able to detect a benefit of CPAP to reduce the risk of CVD. Over the last several years, novel methodologies have been proposed to better quantify the magnitude of OSA-related breathing disturbance and its physiological consequences. As a result, stronger associations with cardiovascular and neurocognitive outcomes have been observed. In this review, we focus on the methods that capture polysomnographic heterogeneity of OSA.
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Affiliation(s)
- Ali Azarbarzin
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
| | - Gonzalo Labarca
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Respiratory Diseases, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Younghoon Kwon
- Department of Medicine, University of Washington, Seattle, WA
| | - Andrew Wellman
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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23
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Grigg-Damberger M, Foldvary-Schaefer N. Hypoxia not AHI in adults with sleep apnea midlife markedly increases risk of late-onset epilepsy-Carosella CM et al Sleep apnea, hypoxia, and late-onset epilepsy: the Atherosclerosis Risk in Communities study SLEEP-2023-0175.R1. Sleep 2024; 47:zsad252. [PMID: 37777197 DOI: 10.1093/sleep/zsad252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Indexed: 10/02/2023] Open
Affiliation(s)
| | - Nancy Foldvary-Schaefer
- Cleveland Clinic Neurological Institute, Cleveland Clinic Lerner College of Medicine, Sleep Disorders and Epilepsy Centers, Cleveland, OH, USA
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24
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Self AA, Mesarwi OA. Intermittent Versus Sustained Hypoxemia from Sleep-disordered Breathing: Outcomes in Patients with Chronic Lung Disease and High Altitude. Sleep Med Clin 2024; 19:327-337. [PMID: 38692756 DOI: 10.1016/j.jsmc.2024.02.011] [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: 05/03/2024]
Abstract
In a variety of physiologic and pathologic states, people may experience both chronic sustained hypoxemia and intermittent hypoxemia ("combined" or "overlap" hypoxemia). In general, hypoxemia in such instances predicts a variety of maladaptive outcomes, including excess cardiovascular disease or mortality. However, hypoxemia may be one of the myriad phenotypic effects in such states, making it difficult to ascertain whether adverse outcomes are primarily driven by hypoxemia, and if so, whether these effects are due to intermittent versus sustained hypoxemia.
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Affiliation(s)
- Alyssa A Self
- Division of Pulmonary, Critical Care, and Sleep Medicine and Physiology, University of California, San Diego, 9500 Gilman Drive Mail Code 0623A, La Jolla, CA 92093, USA
| | - Omar A Mesarwi
- Division of Pulmonary, Critical Care, and Sleep Medicine and Physiology, University of California, San Diego, 9500 Gilman Drive Mail Code 0623A, La Jolla, CA 92093, USA.
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25
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Howarth TP, Sillanmäki S, Karhu T, Rissanen M, Islind AS, Hrubos-Strøm H, de Chazal P, Huovila J, Kainulainen S, Leppänen T. Nocturnal oxygen resaturation parameters are associated with cardiorespiratory comorbidities. Sleep Med 2024; 118:101-112. [PMID: 38657349 DOI: 10.1016/j.sleep.2024.03.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 03/12/2024] [Accepted: 03/30/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND There are strong associations between oxygen desaturations and cardiovascular outcomes. Additionally, oxygen resaturation rates are linked to excessive daytime sleepiness independent of oxygen desaturation severity. No studies have yet looked at the independent effects of comorbidities or medications on resaturation parameters. METHODS The Sleep Heart Health Study data was utilised to derive oxygen saturation parameters from 5804 participants. Participants with a history of comorbidities or medication usage were compared against healthy participants with no comorbidity/medication history. RESULTS 4293 participants (50.4% female, median age 64 years) were included in the analysis. Females recorded significantly faster resaturation rates (mean 0.61%/s) than males (mean 0.57%/s, p < 0.001), regardless of comorbidities. After adjusting for demographics, sleep parameters, and desaturation parameters, resaturation rate was reduced with hypertension (-0.09 (95% CI -0.16, -0.03)), myocardial infarction (-0.13 (95% CI -0.21, -0.04)) and heart failure (-0.19 (95% CI -0.33, -0.05)), or when using anti-hypertensives (-0.10 (95% CI -0.17, -0.03)), mental health medications (-0.18 (95% CI -0.27, -0.08)) or anticoagulants (-0.41 (95% CI -0.56, -0.26)). Desaturation to Resaturation ratio for duration was decreased with mental health (-0.21 (95% CI -0.34, -0.08)) or diabetic medications (-0.24 (95% CI -0.41, -0.07)), and desaturation to resaturation ratio for area decreased with heart failure (-0.25 (95% CI -0.42, -0.08)). CONCLUSIONS Comorbidities and medications significantly affect nocturnal resaturation parameters, independent of desaturation parameters. However, the causal relationship remains unclear. Further research can enhance our knowledge and develop more precise and safer interventions for individuals affected by certain comorbidities.
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Affiliation(s)
- Timothy P Howarth
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland; Darwin Respiratory and Sleep Health, Darwin Private Hospital, Darwin, Australia; College of Health and Human Sciences, Charles Darwin University, Darwin, Australia; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.
| | - Saara Sillanmäki
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland; Faculty of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Tuomas Karhu
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Marika Rissanen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland; Department of Clinical Neurophysiology, Seinäjoki Central Hospital, Seinäjoki, Finland
| | | | - Harald Hrubos-Strøm
- Department of Otorhinolaryngology, Akershus University Hospital, Lørenskog, Norway; Clinic for Surgical Research, Campus Ahus, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Philip de Chazal
- School of Biomedical Engineering, The University of Sydney, Sydney, Australia
| | - Juuso Huovila
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
| | - Samu Kainulainen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Timo Leppänen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia
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Balk EM, Adam GP, Cao W, Bhuma MR, D’Ambrosio C, Trikalinos TA. Long-term effects on clinical event, mental health, and related outcomes of CPAP for obstructive sleep apnea: a systematic review. J Clin Sleep Med 2024; 20:895-909. [PMID: 38300818 PMCID: PMC11145052 DOI: 10.5664/jcsm.11030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 01/10/2024] [Accepted: 01/11/2024] [Indexed: 02/03/2024]
Abstract
STUDY OBJECTIVES We performed a systematic review of long-term health outcomes of continuous positive airway pressure (CPAP) use in adults with obstructive sleep apnea. METHODS We updated prior systematic reviews with searches in multiple databases through January 3, 2023. We included randomized controlled trials (RCTs) and adjusted nonrandomized comparative studies that reported prespecified long-term (mostly > 1 year) health outcomes. We assessed risk of bias, conducted meta-analyses, and evaluated strength of evidence. RESULTS We found 38 eligible studies (16 trials, 22 observational). All conclusions were of low strength of evidence given study and data limitations. RCTs found no evidence of effect of CPAP on mortality (summary effect size [ES] 0.89; 95% confidence interval [CI] 0.66, 1.21); inclusion of adjusted nonrandomized comparative studies yields an association with reduced risk of death (ES 0.57; 95% CI 0.44, 0.73). RCTs found no evidence of effects of CPAP for cardiovascular death (ES 0.99; 95% CI 0.64, 1.53), stroke (ES 0.99; 95% CI 0.73, 1.35), myocardial infarction (ES 1.05; 95% CI 0.78, 1.41), incident atrial fibrillation (ES 0.89; 95% CI 0.48, 1.63), or composite cardiovascular outcomes (all statistically nonsignificant). RCTs found no evidence of effects for incident diabetes (ES 1.02; 95% CI 0.69, 1.51) or accidents (all nonsignificant) and no clinically significant effects on depressive symptoms, anxiety symptoms, or cognitive function. CONCLUSIONS Whether CPAP use for obstructive sleep apnea affects long-term health outcomes remains largely unanswered. RCTs and nonrandomized comparative studies are inconsistent regarding the effect of CPAP on mortality. Current studies are underpowered, with relatively short duration follow-up and methodological limitations. CITATION Balk EM, Adam GP, Cao W, Bhuma MR, D'Ambrosio C, Trikalinos TA. Long-term effects on clinical event, mental health, and related outcomes of CPAP for obstructive sleep apnea: a systematic review. J Clin Sleep Med. 2024;20(6):895-909.
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Affiliation(s)
- Ethan M. Balk
- Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, Rhode Island
| | - Gaelen P. Adam
- Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, Rhode Island
| | - Wangnan Cao
- Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, Rhode Island
| | - Monika Reddy Bhuma
- Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, Rhode Island
| | - Carolyn D’Ambrosio
- Section of Pulmonary, Critical Care, and Sleep Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Thomas A. Trikalinos
- Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, Rhode Island
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McNicholas WT. Does Obstructive Sleep Apnea Lead to Progression of Chronic Obstructive Pulmonary Disease. Sleep Med Clin 2024; 19:253-260. [PMID: 38692750 DOI: 10.1016/j.jsmc.2024.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2024]
Abstract
Chronic obstructive pulmonary disease (COPD) and obstructive sleep apnea (OSA) have important bidirectional relationships that influence the pathophysiology of each disorder. The slim hyperinflated "pink puffer" phenotype of COPD protects against OSA, whereas the heavier "blue bloater" phenotype predisposes to OSA by fluid retention. OSA may aggravate COPD by promoting airway inflammation. COPD-OSA overlap patients have lower quality of life and are at higher risk of cardiovascular comorbidity than either disorder alone due to greater nocturnal oxygen desaturation and sympathetic activation. Management of OSA with positive airway pressure improves COPD outcomes that include lower exacerbation rates compared to untreated patients.
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Affiliation(s)
- Walter T McNicholas
- Department of Respiratory and Sleep Medicine, St. Vincent's Hospital Group, Dublin, Ireland; School of Medicine and the Conway Research Institute, University College, Dublin, Ireland.
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Nokes B, Orr JE, White S, Luu S, Chen Z, Alex R, Sands SA, Wojeck BS, Owens RL, Malhotra A, Schmickl CN. Effect of obesity on sleep apnea pathogenesis differs in women versus men: multiple mediation analyses in the retrospective SNOOzzzE cohort. J Appl Physiol (1985) 2024; 136:1516-1525. [PMID: 38660729 DOI: 10.1152/japplphysiol.00925.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 04/16/2024] [Accepted: 04/16/2024] [Indexed: 04/26/2024] Open
Abstract
There are multiple mechanisms underlying obstructive sleep apnea (OSA) development. However, how classic OSA risk factors such as body mass index (BMI) and sex portend to OSA development has not been fully described. Thus we sought to evaluate how obesity leads to OSA and assess how these mechanisms differ between men and women. The San Diego Multi-Outcome OSA Endophenotype (SNOOzzzE) cohort includes 3,319 consecutive adults who underwent a clinical in-laboratory polysomnography at the University of California, San Diego, sleep clinic between January 2017 and December 2019. Using routine polysomnography signals, we determined OSA endotypes. We then performed mediation analyses stratified by sex to determine how BMI influenced the apnea-hypopnea index (AHI) using OSA pathophysiological traits as mediators, adjusting for age, race, and ethnicity. We included 2,146 patients of whom 919 (43%) were women and 1,227 (57%) were obese [body mass index (BMI) > 30 kg/m2]. BMI was significantly associated with AHI in both women and men. In men, the adjusted effect of BMI on AHI was partially mediated by a reduction in upper airway stiffness (βstandardized = 0.124), a reduction in circulatory delay (βstandardized = 0.063), and an increase in arousal threshold (βstandardized = 0.029; Pboot-strapped,all < 0.05). In women, the adjusted effect of BMI on AHI was partially mediated by a reduction in upper airway stiffness (βstandardized = 0.05) and circulatory delay (βstandardized = 0.037; Pboot-strapped,all < 0.05). BMI-related OSA pathogenesis differs by sex. An increase in upper airway collapsibility is consistent with prior studies. A reduction in circulatory delay may lead to shorter and thus more events per hour (higher AHI), while the relationship between arousal threshold and OSA is likely complex.NEW & NOTEWORTHY Our data provide important insights into obesity-related obstructive sleep apnea (OSA) pathogenesis, thereby validating, and extending, prior research findings. This is the largest sample size study to examine the relationships between obesity and gender on OSA pathogenesis. The influence of obesity on sleep apnea severity is mediated by different mechanistic traits (endotypes).
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Affiliation(s)
- Brandon Nokes
- Sleep Medicine Section, Veterans Affairs San Diego Healthcare System, San Diego, California, United States
- Division of Pulmonary, Critical Care, Sleep Medicine and Physiology, University of California, San Diego, California, United States
| | - Jeremy E Orr
- Division of Pulmonary, Critical Care, Sleep Medicine and Physiology, University of California, San Diego, California, United States
| | - Stephanie White
- Division of Pulmonary, Critical Care, Sleep Medicine and Physiology, University of California, San Diego, California, United States
| | - Steven Luu
- Division of Pulmonary, Critical Care, Sleep Medicine and Physiology, University of California, San Diego, California, United States
| | - Zihan Chen
- Division of Pulmonary, Critical Care, Sleep Medicine and Physiology, University of California, San Diego, California, United States
| | - Raichel Alex
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Scott A Sands
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Brian S Wojeck
- Section of Endocrinology, Yale School of Medicine, New Haven, Connecticut, United States
| | - Robert L Owens
- Division of Pulmonary, Critical Care, Sleep Medicine and Physiology, University of California, San Diego, California, United States
| | - Atul Malhotra
- Division of Pulmonary, Critical Care, Sleep Medicine and Physiology, University of California, San Diego, California, United States
| | - Christopher N Schmickl
- Division of Pulmonary, Critical Care, Sleep Medicine and Physiology, University of California, San Diego, California, United States
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Gagnadoux F, Bequignon E, Prigent A, Micoulaud-Franchi JA, Chambe J, Texereau J, Alami S, Roche F. The PAP-RES algorithm: Defining who, why and how to use positive airway pressure therapy for OSA. Sleep Med Rev 2024; 75:101932. [PMID: 38608395 DOI: 10.1016/j.smrv.2024.101932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 03/20/2024] [Accepted: 03/29/2024] [Indexed: 04/14/2024]
Abstract
Obstructive sleep apnea (OSA) is a common condition that is increasing in prevalence worldwide. Untreated OSA has a negative impact on health-related quality of life and is an independent risk factor for cardiovascular diseases. Despite available data suggesting that cardiovascular risk might differ according to clinical phenotypes and comorbidities, current approaches to OSA treatment usually take a "one size fits all" approach. Identification of cardiovascular vulnerability biomarkers and clinical phenotypes associated with response to positive airway pressure (PAP) therapy could help to redefine the standard treatment paradigm. The new PAP-RES (PAP-RESponsive) algorithm is based on the identification of OSA phenotypes that are likely to impact therapeutic goals and modalities. The paradigm shift is to propose a simplified approach that defines therapeutic goals based on OSA phenotype: from a predominantly "symptomatic phenotype" (individuals with high symptom burden that negatively impacts on daily life and/or accident risk or clinically significant insomnia) to a "vulnerable cardiovascular phenotype" (individuals with comorbidities [serious cardiovascular or respiratory disease or obesity] that have a negative impact on cardiovascular prognosis or a biomarker of hypoxic burden and/or autonomic nervous system dysfunction). Each phenotype requires a different PAP therapy care pathway based on differing health issues and treatment objectives.
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Affiliation(s)
- Frédéric Gagnadoux
- Service de Pneumologie et Allergologie, CHU Angers, Angers, France; MITOVASC UMR Inserm 1083 - UMR CNRS 6015, Angers, France
| | - Emilie Bequignon
- Service d'ORL et chirurgie cervico-faciale, Centre Hospitalier Intercommunal de Créteil, Créteil, France; CNRS EMR 7000, Créteil, France; INSERM, IMRB, and Faculté de Santé, Université Paris Est Créteil, Créteil, France
| | - Arnaud Prigent
- Pulmonology Medical Group, Polyclinique Saint-Laurent, Rennes, France
| | - Jean-Arthur Micoulaud-Franchi
- Université de Bordeaux, CNRS, SANPSY, UMR, 6033, Bordeaux, France; University Sleep Clinic, University Hospital of Bordeaux, Bordeaux, France
| | - Juliette Chambe
- Département de Médecine Générale, Faculté de Médecine, Strasbourg, France; CNRS UPR 3212, Équipe Sommeil, Horloge, Lumière & NeuroPsychiatrie, Strasbourg, France
| | - Joëlle Texereau
- Lung Function & Respiratory Physiology Units, Cochin University Hospital, AP-HP, Paris, France; Air Liquide Healthcare, Bagneux, France
| | | | - Frédéric Roche
- Physical Exercise and Clinical Physiology Department, CHU Nord, Saint-Étienne, France; INSERM U1059 Santé Ingénierie Biologie, Université Jean Monnet, Saint-Étienne, France.
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Malhotra A, Bednarik J, Chakladar S, Dunn JP, Weaver T, Grunstein R, Fietze I, Redline S, Azarbarzin A, Sands SA, Schwab RJ, Bunck MC. Tirzepatide for the treatment of obstructive sleep apnea: Rationale, design, and sample baseline characteristics of the SURMOUNT -OSA phase 3 trial. Contemp Clin Trials 2024; 141:107516. [PMID: 38547961 PMCID: PMC11168245 DOI: 10.1016/j.cct.2024.107516] [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: 01/08/2024] [Revised: 03/04/2024] [Accepted: 03/25/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND Weight reduction is a standard recommendation for obstructive sleep apnea (OSA) treatment in people with obesity or overweight; however, weight loss can be challenging to achieve and maintain without bariatric surgery. Currently, no approved anti-obesity medication has demonstrated effectiveness in OSA management. This study is evaluating the efficacy and safety of tirzepatide for treatment of moderate to severe OSA in people with obesity. METHODS SURMOUNT-OSA, a randomized, placebo -controlled, 52-week phase 3 trial, is investigating the efficacy and safety of tirzepatide for treatment of moderate to severe OSA (apnea hypopnea- index ≥15 events/h) in participants with obesity (body mass index ≥30 kg/m2) and an established OSA diagnosis. SURMOUNT-OSA is made of 2 intervention-specific appendices (ISAs): ISA-1 includes participants with no current OSA treatment, and ISA-2 includes participants using positive airway pressure therapy. Overall, 469 participants have been randomized 1:1 to receive tirzepatide or placebo across the master protocol (ISA-1, n = 234; ISA-2, n = 235). All participants are also receiving lifestyle intervention for weight reduction. RESULTS The primary endpoint for the individual ISAs is the difference in apnea hypopnea- index response, as measured by polysomnography, between tirzepatide and placebo arms at week 52. Secondary endpoints include sleep apnea-specific hypoxic burden, functional outcomes, and cardiometabolic biomarkers. The trial employs digital wearables, including home sleep testing to capture time to improvement and accelerometry for daily physical activity assessment, to evaluate exploratory outcomes. CONCLUSION SURMOUNT-OSA brings a novel design to investigate if tirzepatide provides clinically meaningful improvement in obesity-related OSA by targeting the underlying etiology. TRIAL REGISTRATION ClinicalTrials.gov, NCT05412004.
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Affiliation(s)
- Atul Malhotra
- University of California San Diego, La Jolla, CA, USA.
| | | | | | | | - Terri Weaver
- College of Nursing, University of Illinois Chicago, Chicago, IL, USA; University of Pennsylvania School of Nursing, Philadelphia, PA, USA
| | - Ron Grunstein
- Woolcock Institute of Medical Research and Royal Prince Alfred Hospital, Sydney, Australia
| | - Ingo Fietze
- Centre of Sleep Medicine, Charité University Hospital Berlin, Berlin, Germany
| | | | | | | | - Richard J Schwab
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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Zhang H, Liu H, Jiao Y, Zhang J, Covassin N, Wang M, Lin Y, Xie J. Association between sleep apnea-specific hypoxic burden and severity of coronary artery disease. Sleep Breath 2024; 28:1293-1301. [PMID: 38386249 PMCID: PMC11196324 DOI: 10.1007/s11325-024-03008-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 02/04/2024] [Accepted: 02/12/2024] [Indexed: 02/23/2024]
Abstract
PURPOSE Sleep apnea-specific hypoxic burden (SASHB) is a polysomnographic metric that comprehensively measures the degree of nocturnal desaturation caused by obstructive sleep apnea. This research was conducted to elucidate the relationship between SASHB and coronary artery disease (CAD) severity. METHODS We carried out a prospective study of hospitalized patients with CAD of unstable angina who were expected to undergo invasive coronary angiography at Beijing Anzhen Hospital from February to September 2023. SASHB values were calculated using a self-programmed C + + program. Multivariable logistic regression analysis was applied to identify the association between SASHB and the prevalence of severe CAD, documented by the Gensini Score, and the SYNTAX (Synergy between Percutaneous Coronary Intervention With Taxus and Cardiac Surgery) Score. RESULTS This study enrolled 137 patients with a median age of 59 years, 96 (70.1%) of whom were male. A total of 125 (91.2%) patients had coronary stenosis of ≥ 50% in at least one location. Patients with a high SASHB of ≥ 18% min/h had a significantly higher Gensini Score (32.0 vs. 18.5, P = 0.002) and SYNTAX Score (14.0 vs. 7.0, P = 0.002) than those with a low SASHB. After adjusting for multiple covariates, a high SASHB was significantly associated with the prevalence of severe CAD, determined by a Gensini Score ≥ 21 (OR 2.67, P = 0.008) or a SYNTAX Score > 22 (OR 4.03, P = 0.016). CONCLUSION Our findings revealed a robust and independent association between SASHB and CAD severity in patients with unstable angina, highlighting the potential value of SASHB as a predictor of risk and a target for interventions aimed at preventing cardiovascular diseases. TRIAL REGISTRATION Chinese Clinical Trial Registry No. ChiCTR2300067991 on February 2, 2023.
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Affiliation(s)
- Hehe Zhang
- Department of Respiratory and Critical Medicine, Beijing Anzhen Hospital, Capital Medical University, #2 An Zhen Road, Beijing, 100029, China
- Beijing Anzhen Hospital Centre for Sleep Medicine and Science, Capital Medical University, Beijing, 100029, China
| | - Honghong Liu
- Department of Cardiovascular Medicine, Beijing Anzhen Hospital, Capital Medical University, #2 An Zhen Road, Beijing, 100029, China
| | - Yuanni Jiao
- Department of Respiratory and Critical Medicine, Beijing Anzhen Hospital, Capital Medical University, #2 An Zhen Road, Beijing, 100029, China
- Beijing Anzhen Hospital Centre for Sleep Medicine and Science, Capital Medical University, Beijing, 100029, China
| | - Jing Zhang
- Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
| | - Naima Covassin
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, 55902, USA
| | - Mu Wang
- School of Aerospace Engineering, Tsinghua University, Beijing, 100084, China
| | - Yun Lin
- Department of Cardiovascular Medicine, Beijing Anzhen Hospital, Capital Medical University, #2 An Zhen Road, Beijing, 100029, China.
| | - Jiang Xie
- Department of Respiratory and Critical Medicine, Beijing Anzhen Hospital, Capital Medical University, #2 An Zhen Road, Beijing, 100029, China.
- Beijing Anzhen Hospital Centre for Sleep Medicine and Science, Capital Medical University, Beijing, 100029, China.
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van Zeller M, McNicholas WT. Sleep disordered breathing: OSA-COPD overlap. Expert Rev Respir Med 2024; 18:369-379. [PMID: 38932721 DOI: 10.1080/17476348.2024.2373790] [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: 12/06/2023] [Accepted: 06/25/2024] [Indexed: 06/28/2024]
Abstract
INTRODUCTION Sleep has important effects on breathing and gas exchange that may have negative consequences in patients with chronic obstructive pulmonary disease (COPD). COPD and obstructive sleep apnea (OSA) are highly prevalent and may coexist, which is referred to as the overlap syndrome. AREAS COVERED The probability of OSA-COPD overlap represents the balance of protective and promoting factors such as hyperinflation and fluid retention; thus, different clinical COPD phenotypes influence the likelihood of comorbid OSA. The clinical presentation of OSA-COPD overlap is nonspecific, and the diagnosis requires clinical awareness to identify patients needing overnight studies. Both COPD and OSA are associated with a range of overlapping physiological and biological disturbances including hypoxia and inflammation that contribute to cardiovascular comorbidities. The management of OSA-COPD overlap patients differs from those with COPD alone and the survival of overlap patients treated with positive airway pressure (PAP) is superior to those untreated. EXPERT OPINION The recognition of OSA-COPD overlap has important clinical relevance because of its impact on outcomes and management. Management of the overlap should address both sleep quality and disordered gas exchange. PAP therapy has demonstrated reductions in COPD exacerbations, hospitalizations, healthcare costs and mortality in overlap patients.
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Affiliation(s)
- Mafalda van Zeller
- Respiratory Department and Sleep and Ventilation Unit, Centro Hospitalar e Universitário de São João, Porto, Portugal
- Faculty of Medicine, University of Porto, Porto, Portugal
| | - Walter T McNicholas
- School of Medicine and The Conway Research Institute, University College Dublin, Dublin, Ireland
- Department of Respiratory and Sleep Medicine, St Vincent's Hospital Group, Dublin, Ireland
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Wang D, Zhang Y, Gan Q, Su X, Zhang H, Zhou Y, Zhuang Z, Wang J, Ding Y, Zhao D, Zhang N. The Association of High Arousal Threshold with Hypertension and Diabetes in Obstructive Sleep Apnea. Nat Sci Sleep 2024; 16:653-662. [PMID: 38836215 PMCID: PMC11149624 DOI: 10.2147/nss.s457679] [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: 01/02/2024] [Accepted: 05/21/2024] [Indexed: 06/06/2024] Open
Abstract
Objective Compared to low arousal threshold (AT), high AT is an easily overlooked characteristic for obstructive sleep apnea (OSA) severity estimation. This study aims to evaluate the relationship between high AT, hypertension and diabetes in OSA, compared to those with apnea-hypopnea index (AHI). Methods A total of 3400 adults diagnosed with OSA were retrospectively recruited. Propensity score matching (PSM) was conducted to further categorize these patients into the low and high AT groups based on the strategy established by previous literature. The different degrees of AHI and quantified AT (AT score) were subsequently measured. The correlation of AT and AHI with the occurrence of various comorbidities in OSA was estimated by logistic regression analysis with odds ratio (OR). Results After PSM, 938 pairs of patients arose. The median AT score of high and low AT group was 21.7 and 12.2 scores, and the adjusted OR of high AT for hypertension and diabetes was 1.31 (95% CI = 1.07-1.62, P < 0.01) and 1.45 (95% CI = 1.01-2.08, P < 0.05), respectively. Compared to low AT score group, the OR significantly increased in patients with very high AT score (30 ≤ AT score), especially for diabetes (OR = 1.79, 95% CI = 1.02-3.13, P < 0.05). The significant association was not observed in AHI with increasing prevalent diabetes. Conclusion Higher AT is significantly associated with increased prevalence of hypertension and diabetes in patients with OSA. Compared with AHI, AT score is a potentially comprehensive indicator for better evaluating the relationship between OSA and related comorbidities.
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Affiliation(s)
- Donghao Wang
- State Key Laboratory of Respiratory Disease, Sleep Medicine Center, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Yuting Zhang
- State Key Laboratory of Respiratory Disease, Sleep Medicine Center, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Qiming Gan
- State Key Laboratory of Respiratory Disease, Sleep Medicine Center, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Xiaofen Su
- State Key Laboratory of Respiratory Disease, Sleep Medicine Center, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Haojie Zhang
- State Key Laboratory of Respiratory Disease, Sleep Medicine Center, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
- The Clinical Medicine Department, Henan University, Zhengzhou, People's Republic of China
| | - Yanyan Zhou
- State Key Laboratory of Respiratory Disease, Sleep Medicine Center, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Zhiyang Zhuang
- State Key Laboratory of Respiratory Disease, Sleep Medicine Center, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Jingcun Wang
- State Key Laboratory of Respiratory Disease, Sleep Medicine Center, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Yutong Ding
- State Key Laboratory of Respiratory Disease, Sleep Medicine Center, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Dongxing Zhao
- State Key Laboratory of Respiratory Disease, Sleep Medicine Center, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Nuofu Zhang
- State Key Laboratory of Respiratory Disease, Sleep Medicine Center, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
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Hui X, Cao W, Xu Z, Guo J, Luo J, Xiao Y. Hypoxic indices for obstructive sleep apnoea severity and cardiovascular disease risk prediction: A comparison and application in a community population. Respirology 2024. [PMID: 38773880 DOI: 10.1111/resp.14754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 05/09/2024] [Indexed: 05/24/2024]
Abstract
BACKGROUND AND OBJECTIVE The apnoea-hypopnoea index (AHI) and oxygen desaturation index (ODI) encounter challenges in capturing the intricate relationship between obstructive sleep apnoea (OSA) and cardiovascular disease (CVD) risks. Although novel hypoxic indices have been proposed to tackle these limitations, there remains a gap in comprehensive validation and comparisons across a unified dataset. METHODS Samples were derived from the Sleep Heart Health Study (SHHS), involving 4485 participants aged over 40 years after data quality screening. The study compared several key indices, including AHI, ODI, the reconstructed hypoxic burden (rHB), the percentage of sleep time with the duration of respiratory events causing desaturation (pRED_3p) and the sleep breathing impairment index (SBII), in relation to CVD mortality and morbidity risks. Adjusted Cox proportional models were employed to calculate hazard ratios (HRs) for each index, and comparisons were performed. RESULTS SBII and pRED_3p exhibited significant correlations with both CVD mortality and morbidity, with SBII showing the highest adjusted HR (95% confidence interval) for mortality (2.04 [1.25, 3.34]) and pRED_3p for morbidity (1.43 [1.09-1.88]). In contrast, rHB was only significant in predicting CVD mortality (1.63 [1.05-2.53]), while AHI and ODI did not show significant correlations with CVD outcomes. The adjusted models based on SBII and pRED_3p exhibited optimal performance in the CVD mortality and morbidity datasets, respectively. CONCLUSION This study identified the optimal indices for OSA-related CVD risks prediction, SBII for mortality and pRED_3p for morbidity. The open-source online platform provides the computation of the indices.
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Affiliation(s)
- Xinjie Hui
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Wenhao Cao
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Zeyu Xu
- State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China
| | - Junwei Guo
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jinmei Luo
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yi Xiao
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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Li C, Peng Y, Zhu X, Liu Y, Zou J, Zhu H, Li X, Yi H, Guan J, Zhang X, Xu H, Yin S. Independent relationship between sleep apnea-specific hypoxic burden and glucolipid metabolism disorder: a cross-sectional study. Respir Res 2024; 25:214. [PMID: 38762509 PMCID: PMC11102635 DOI: 10.1186/s12931-024-02846-7] [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: 12/08/2023] [Accepted: 05/12/2024] [Indexed: 05/20/2024] Open
Abstract
OBJECTIVES Obstructive sleep apnea (OSA) is associated with abnormal glucose and lipid metabolism. However, whether there is an independent association between Sleep Apnea-Specific Hypoxic Burden (SASHB) and glycolipid metabolism disorders in patients with OSA is unknown. METHODS We enrolled 2,173 participants with suspected OSA from January 2019 to July 2023 in this study. Polysomnographic variables, biochemical indicators, and physical measurements were collected from each participant. Multiple linear regression analyses were used to evaluate independent associations between SASHB, AHI, CT90 and glucose as well as lipid profile. Furthermore, logistic regressions were used to determine the odds ratios (ORs) for abnormal glucose and lipid metabolism across various SASHB, AHI, CT90 quartiles. RESULTS The SASHB was independently associated with fasting blood glucose (FBG) (β = 0.058, P = 0.016), fasting insulin (FIN) (β = 0.073, P < 0.001), homeostasis model assessment of insulin resistance (HOMA-IR) (β = 0.058, P = 0.011), total cholesterol (TC) (β = 0.100, P < 0.001), total triglycerides (TG) (β = 0.063, P = 0.011), low-density lipoprotein cholesterol (LDL-C) (β = 0.075, P = 0.003), apolipoprotein A-I (apoA-I) (β = 0.051, P = 0.049), apolipoprotein B (apoB) (β = 0.136, P < 0.001), apolipoprotein E (apoE) (β = 0.088, P < 0.001) after adjustments for confounding factors. Furthermore, the ORs for hyperinsulinemia across the higher SASHB quartiles were 1.527, 1.545, and 2.024 respectively, compared with the lowest quartile (P < 0.001 for a linear trend); the ORs for hyper-total cholesterolemia across the higher SASHB quartiles were 1.762, 1.998, and 2.708, compared with the lowest quartile (P < 0.001 for a linear trend) and the ORs for hyper-LDL cholesterolemia across the higher SASHB quartiles were 1.663, 1.695, and 2.316, compared with the lowest quartile (P < 0.001 for a linear trend). Notably, the ORs for hyper-triglyceridemia{1.471, 1.773, 2.099} and abnormal HOMA-IR{1.510, 1.492, 1.937} maintained a consistent trend across the SASHB quartiles. CONCLUSIONS We found SASHB was independently associated with hyperinsulinemia, abnormal HOMA-IR, hyper-total cholesterolemia, hyper-triglyceridemia and hyper-LDL cholesterolemia in Chinese Han population. Further prospective studies are needed to confirm that SASHB can be used as a predictor of abnormal glycolipid metabolism disorders in patients with OSA. TRIAL REGISTRATION ChiCTR1900025714 { http://www.chictr.org.cn/ }; Prospectively registered on 6 September 2019; China.
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Affiliation(s)
- Chenyang Li
- Department of Otolaryngology-Head and Neck Surgery & Center of Sleep Medicine, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, China
| | - Yu Peng
- Department of Otolaryngology-Head and Neck Surgery & Center of Sleep Medicine, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, China
| | - Xiaoyue Zhu
- Department of Otolaryngology-Head and Neck Surgery & Center of Sleep Medicine, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, China
| | - Yupu Liu
- Department of Otolaryngology-Head and Neck Surgery & Center of Sleep Medicine, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, China
| | - Jianyin Zou
- Department of Otolaryngology-Head and Neck Surgery & Center of Sleep Medicine, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, China
| | - Huaming Zhu
- Department of Otolaryngology-Head and Neck Surgery & Center of Sleep Medicine, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, China
| | - Xinyi Li
- Department of Otolaryngology-Head and Neck Surgery & Center of Sleep Medicine, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, China
| | - Hongliang Yi
- Department of Otolaryngology-Head and Neck Surgery & Center of Sleep Medicine, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, China
| | - Jian Guan
- Department of Otolaryngology-Head and Neck Surgery & Center of Sleep Medicine, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China.
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, China.
| | - Xu Zhang
- School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, China.
| | - Huajun Xu
- Department of Otolaryngology-Head and Neck Surgery & Center of Sleep Medicine, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China.
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, China.
| | - Shankai Yin
- Department of Otolaryngology-Head and Neck Surgery & Center of Sleep Medicine, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, China
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, China
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Naweed A, Lechat B, Chapman J, Adams RJ, Ferguson SA, Casolin A, Reynolds AC. Reconsidering screening thresholds in health assessments for obstructive sleep apnea using operational and safety incident data. Sci Rep 2024; 14:10844. [PMID: 38735987 PMCID: PMC11089039 DOI: 10.1038/s41598-024-61118-y] [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: 06/15/2023] [Accepted: 05/02/2024] [Indexed: 05/14/2024] Open
Abstract
The rail industry in Australia screens workers for probable obstructive sleep apnea (OSA) due to known safety risks. However, existing criteria to trigger screening only identify a small proportion of workers with OSA. The current study sought to examine the relationship between OSA risk and rail incidents in real-world data from Australian train drivers, and conducted a proof of concept analysis to determine whether more conservative screening criteria are justified. Health assessment (2016-2018) and subsequent rail incident data (2016-2020) were collected from two passenger rail service providers. Predictors included OSA status (confirmed no OSA with a sleep study, controlled OSA, unknown OSA [no recorded sleep assessment data] and confirmed OSA with no indication of treatment); OSA risk according to the current Standard, and OSA risk according to more conservative clinical markers (BMI threshold and cardiometabolic burden). Coded rail safety incidents involving the train driver were included. Data were analysed using zero-inflated negative binomial models to account for over-dispersion with high 0 counts, and rail safety incidents are reported using Incidence Risk Ratios (IRRs). A total of 751 train drivers, typically middle-aged, overweight to obese and mostly men, were included in analyses. There were 43 (5.7%) drivers with confirmed OSA, 62 (8.2%) with controlled OSA, 13 (1.7%) with confirmed no OSA and 633 (84.4%) drivers with unknown OSA. Of the 633 train drivers with unknown OSA status, 21 (3.3%) met 'at risk' criteria for OSA according to the Standard, and incidents were 61% greater (IRR: 1.61, 95% Confidence Interval (CI) 1.02-2.56) in the years following their health assessment compared to drivers who did not meet 'at risk' criteria. A more conservative OSA risk status using lower BMI threshold and cardiometabolic burden identified an additional 30 'at risk' train drivers who had 46% greater incidents compared to drivers who did not meet risk criteria (IRR (95% CI) 1.46 (1.00-2.13)). Our more conservative OSA risk criteria identified more workers, with greater prospective incidents. These findings suggest that existing validated tools could be considered in future iterations of the Standard in order to more sensitively screen for OSA.
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Affiliation(s)
- Anjum Naweed
- Appleton Institute for Behavioural Science, Central Queensland University, Wayville, SA, 5034, Australia.
| | - Bastien Lechat
- Flinders Health and Medical Research Institute (Sleep Health), Flinders University, Bedford Park, Australia
| | - Janine Chapman
- Appleton Institute for Behavioural Science, Central Queensland University, Wayville, SA, 5034, Australia
| | - Robert J Adams
- Flinders Health and Medical Research Institute (Sleep Health), Flinders University, Bedford Park, Australia
- Respiratory, Sleep and Ventilation Service, Southern Adelaide Local Health Network, SA Health, Adelaide, Australia
| | - Sally A Ferguson
- Appleton Institute for Behavioural Science, Central Queensland University, Wayville, SA, 5034, Australia
| | - Armand Casolin
- Transport for NSW, Macquarie Park, New South Wales, Australia
| | - Amy C Reynolds
- Appleton Institute for Behavioural Science, Central Queensland University, Wayville, SA, 5034, Australia
- Flinders Health and Medical Research Institute (Sleep Health), Flinders University, Bedford Park, Australia
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Messineo L, Sands S, Schmickl C, Labarca G, Hu WH, Esmaeili N, Vena D, Gell L, Calianese N, Malhotra A, Gottlieb DJ, Wellman A, Redline S, Azarbarzin A. Treatment of Sleep Apnea and Reduction in Blood Pressure: The Role of Heart Rate Response and Hypoxic Burden. Hypertension 2024; 81:1106-1114. [PMID: 38506074 PMCID: PMC11056868 DOI: 10.1161/hypertensionaha.123.22444] [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: 11/20/2023] [Accepted: 03/05/2024] [Indexed: 03/21/2024]
Abstract
BACKGROUND Obstructive sleep apnea is associated with increased blood pressure (BP). Obstructive sleep apnea treatment reduces BP with substantial variability, not explained by the apnea-hypopnea index, partly due to inadequate characterization of obstructive sleep apnea's physiological consequences, such as oxygen desaturation, cardiac autonomic response, and suboptimal treatment efficacy. We sought to examine whether a high baseline heart rate response (ΔHR), a marker of high cardiovascular risk in obstructive sleep apnea, predicts a larger reduction in post-treatment systolic BP (SBP). Furthermore, we aimed to assess the extent to which a reduction in SBP is explained by a treatment-related reduction in hypoxic burden (HB). METHODS ΔHR and HB were measured from pretreatment and posttreatment polygraphy, followed by a 24-hour BP assessment in 168 participants treated with continuous positive airway pressure or nocturnal supplemental oxygen from the HeartBEAT study (Heart Biomarker Evaluation in Apnea Treatment). Multiple linear regression models assessed whether high versus mid (reference) ΔHR predicted a larger reduction in SBP (primary outcome) and whether there was an association between treatment-related reductions in SBP and HB. RESULTS A high versus mid ΔHR predicted improvement in SBP (adjusted estimate, 5.8 [95% CI, 1.0-10.5] mm Hg). Independently, a greater treatment-related reduction in HB was significantly associated with larger reductions in SBP (4.2 [95% CI, 0.9-7.5] mm Hg per 2 SD treatment-related reduction in HB). Participants with substantial versus minimal treatment-related reductions in HB had a 6.5 (95% CI, 2.5-10.4) mm Hg drop in SBP. CONCLUSIONS A high ΔHR predicted a more favorable BP response to therapy. Furthermore, the magnitude of the reduction in BP was partly explained by a greater reduction in HB.
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Affiliation(s)
- Ludovico Messineo
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women’s Hospital & Harvard Medical School, Boston, Massachusetts
| | - Scott Sands
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women’s Hospital & Harvard Medical School, Boston, Massachusetts
| | - Christopher Schmickl
- Division of Pulmonary, Critical Care, and Sleep Medicine University of California San Diego San Diego, California
| | - Gonzalo Labarca
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women’s Hospital & Harvard Medical School, Boston, Massachusetts
| | - Wen-Hsin Hu
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women’s Hospital & Harvard Medical School, Boston, Massachusetts
| | - Neda Esmaeili
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women’s Hospital & Harvard Medical School, Boston, Massachusetts
| | - Daniel Vena
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women’s Hospital & Harvard Medical School, Boston, Massachusetts
| | - Laura Gell
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women’s Hospital & Harvard Medical School, Boston, Massachusetts
| | - Nicole Calianese
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women’s Hospital & Harvard Medical School, Boston, Massachusetts
| | - Atul Malhotra
- Division of Pulmonary, Critical Care, and Sleep Medicine University of California San Diego San Diego, California
| | - Daniel J Gottlieb
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women’s Hospital & Harvard Medical School, Boston, Massachusetts
| | - Andrew Wellman
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women’s Hospital & Harvard Medical School, Boston, Massachusetts
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women’s Hospital & Harvard Medical School, Boston, Massachusetts
| | - Ali Azarbarzin
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women’s Hospital & Harvard Medical School, Boston, Massachusetts
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Yook S, Park HR, Joo EY, Kim H. Predicting the impact of CPAP on brain health: A study using the sleep EEG-derived brain age index. Ann Clin Transl Neurol 2024; 11:1172-1183. [PMID: 38396240 DOI: 10.1002/acn3.52032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 01/17/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024] Open
Abstract
OBJECTIVE This longitudinal study investigated potential positive impact of CPAP treatment on brain health in individuals with obstructive sleep Apnea (OSA). To allow this, we aimed to employ sleep electroencephalogram (EEG)-derived brain age index (BAI) to quantify CPAP's impact on brain health and identify individually varying CPAP effects on brain aging using machine learning approaches. METHODS We retrospectively analyzed CPAP-treated (n = 98) and untreated OSA patients (n = 88) with a minimum 12-month follow-up of polysomnography. BAI was calculated by subtracting chronological age from the predicted brain age. To investigate BAI changes before and after CPAP treatment, we compared annual ΔBAI between CPAP-treated and untreated OSA patients. To identify individually varying CPAP effectiveness and factors influencing CPAP effectiveness, machine learning approaches were employed to predict which patient displayed positive outcomes (negative annual ΔBAI) based on their baseline clinical features. RESULTS CPAP-treated group showed lower annual ΔBAI than untreated (-0.6 ± 2.7 vs. 0.3 ± 2.6 years, p < 0.05). This BAI reduction with CPAP was reproduced independently in the Apnea, Bariatric surgery, and CPAP study cohort. Patients with more severe OSA at baseline displayed more positive annual ΔBAI (=accelerated brain aging) when untreated and displayed more negative annual ΔBAI (=decelerated brain aging) when CPAP-treated. Machine learning models achieved high accuracy (up to 86%) in predicting CPAP outcomes. INTERPRETATION CPAP treatment can alleviate brain aging in OSA, especially in severe cases. Sleep EEG-derived BAI has potential to assess CPAP's impact on brain health. The study provides insights into CPAP's effects and underscores BAI-based predictive modeling's utility in OSA management.
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Affiliation(s)
- Soonhyun Yook
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, 90033, USA
| | - Hea Ree Park
- Department of Neurology, Inje University College of Medicine, Ilsan Paik Hospital, Goyang, 10380, Korea
| | - Eun Yeon Joo
- Department of Neurology, Neuroscience Center, Samsung Medical Center, Samsung Biomedical Research Institute, School of Medicine, Sungkyunkwan University, Seoul, 06351, Korea
| | - Hosung Kim
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, 90033, USA
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Parker JL, Vakulin A, Naik G, Melaku YA, Stevens D, Wittert GA, Martin SA, Catcheside PG, Toson B, Appleton SL, Adams RJ. Associations of baseline obstructive sleep apnea and sleep macroarchitecture with cognitive function after 8 years in middle-aged and older men from a community-based cohort study. J Sleep Res 2024; 33:e14078. [PMID: 37859564 DOI: 10.1111/jsr.14078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 09/15/2023] [Accepted: 10/09/2023] [Indexed: 10/21/2023]
Abstract
Previous prospective studies examining associations of obstructive sleep apnea and sleep macroarchitecture with future cognitive function recruited older participants, many demonstrating baseline cognitive impairment. This study examined obstructive sleep apnea and sleep macroarchitecture predictors of visual attention, processing speed, and executive function after 8 years among younger community-dwelling men. Florey Adelaide Male Ageing Study participants (n = 477) underwent home-based polysomnography, with 157 completing Trail-Making Tests A and B and the Mini-Mental State Examination. Associations of obstructive sleep apnea (apnea-hypopnea index, oxygen desaturation index, and hypoxic burden index) and sleep macroarchitecture (sleep stage percentages and total sleep time) parameters with future cognitive function were examined using regression models adjusted for baseline demographic, biomedical, and behavioural factors, and cognitive task performance. The mean (standard deviation) age of the men at baseline was 58.9 (8.9) years, with severe obstructive sleep apnea (apnea-hypopnea index ≥30 events/h) in 9.6%. The median (interquartile range) follow-up was 8.3 (7.9-8.6) years. A minority of men (14.6%) were cognitively impaired at baseline (Mini-Mental State Examination score <28/30). A higher percentage of light sleep was associated with better Trail-Making Test A performance (B = -0.04, 95% confidence interval [CI] -0.06, -0.01; p = 0.003), whereas higher mean oxygen saturation was associated with worse performance (B = 0.11, 95% CI 0.02, 0.19; p = 0.012). While obstructive sleep apnea and sleep macroarchitecture might predict cognitive decline, future studies should consider arousal events and non-routine hypoxaemia measures, which may show associations with cognitive decline.
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Affiliation(s)
- Jesse L Parker
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Andrew Vakulin
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia
| | - Ganesh Naik
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Yohannes Adama Melaku
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - David Stevens
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Gary A Wittert
- Freemasons Centre for Male Health and Wellbeing, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Sean A Martin
- Freemasons Centre for Male Health and Wellbeing, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
- Australian Institute of Family Studies, Melbourne, Victoria, Australia
| | - Peter G Catcheside
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Barbara Toson
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Sarah L Appleton
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
- Freemasons Centre for Male Health and Wellbeing, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Robert J Adams
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- Respiratory and Sleep Services, Southern Adelaide Local Health Network, Adelaide, South Australia, Australia
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40
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Coso C, Solano-Pérez E, Romero-Peralta S, Castillo-García M, Silgado-Martínez L, López-Monzoni S, Resano-Barrio P, Cano-Pumarega I, Sánchez-de-la-Torre M, Mediano O. The Hypoxic Burden, Clinical Implication of a New Biomarker in the Cardiovascular Management of Sleep Apnea Patients: A Systematic Review. Rev Cardiovasc Med 2024; 25:172. [PMID: 39076480 PMCID: PMC11267182 DOI: 10.31083/j.rcm2505172] [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: 09/27/2023] [Revised: 01/17/2024] [Accepted: 01/26/2024] [Indexed: 07/31/2024] Open
Abstract
Background Obstructive sleep apnea (OSA) is a highly prevalent sleep-disordered breathing. It is associated with adverse co-morbidities, being the most scientific evidence of cardiovascular (CV) disease. Currently, OSA is measured through the apnea-hypopnea index (AHI), the total number of respiratory events per hour of sleep. However, different studies have questioned its utility in OSA management, highlighting the need to search for new parameters that better reflect the heterogeneity of the disease. Hypoxic burden (HB) has emerged as a novel biomarker that informs about the frequency, duration and depth of the desaturation related to the respiratory events. We conducted a systematic review in order to find publications about the heterogeneity of OSA measured by HB and its associations with future disease. Methods Systematic review was conducted using PubMed and Web of Science. The terms "sleep apne" and "hypoxic burden" were used to look for publications from the date of inception to August 15, 2023. Inclusion criteria: articles in English published in peer-reviewed journals. Exclusion criteria: (1) not available publications; (2) duplicated articles; (3) letters, editorials, and congress communications; (4) articles not including information about HB as a specific biomarker of OSA. Results 33 studies were included. The results were classified in 2 main sections: (1) HB implication in the CV sphere: HB showed to be a better predictor of CV risk in OSA patients than traditional measures such as AHI with possible clinical management implication in OSA. (2) HB response to OSA treatment: pharmacological and nonpharmacological treatments have demonstrated to be effective in improving hypoxia measured through the HB. Conclusions HB could be a better and more effective parameter than traditional measurements in terms of diagnosis, risk prediction and therapeutic decisions in patients with OSA. This measure could be incorporated in sleep units and could play a role in OSA management, driving the clinic to a more personalized medicine.
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Affiliation(s)
- Carlota Coso
- Sleep Unit, Pneumology Department, Hospital Universitario de Guadalajara, 19002 Guadalajara, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), 28029 Madrid, Spain
- Instituto de Investigación Sanitaria de Castilla La Mancha (IDISCAM), 45071 Toledo, Spain
| | - Esther Solano-Pérez
- Sleep Unit, Pneumology Department, Hospital Universitario de Guadalajara, 19002 Guadalajara, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), 28029 Madrid, Spain
- Instituto de Investigación Sanitaria de Castilla La Mancha (IDISCAM), 45071 Toledo, Spain
| | - Sofía Romero-Peralta
- Sleep Unit, Pneumology Department, Hospital Universitario de Guadalajara, 19002 Guadalajara, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), 28029 Madrid, Spain
- Instituto de Investigación Sanitaria de Castilla La Mancha (IDISCAM), 45071 Toledo, Spain
- Sleep Research Institute, 28036 Madrid, Spain
| | - María Castillo-García
- Sleep Unit, Pneumology Department, Hospital Universitario de Guadalajara, 19002 Guadalajara, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), 28029 Madrid, Spain
- Instituto de Investigación Sanitaria de Castilla La Mancha (IDISCAM), 45071 Toledo, Spain
- Sleep Research Institute, 28036 Madrid, Spain
- Medicine Department, Universidad de Alcalá, 28805 Madrid, Spain
| | - Laura Silgado-Martínez
- Sleep Unit, Pneumology Department, Hospital Universitario de Guadalajara, 19002 Guadalajara, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), 28029 Madrid, Spain
- Instituto de Investigación Sanitaria de Castilla La Mancha (IDISCAM), 45071 Toledo, Spain
| | - Sonia López-Monzoni
- Sleep Unit, Pneumology Department, Hospital Universitario de Guadalajara, 19002 Guadalajara, Spain
| | - Pilar Resano-Barrio
- Sleep Unit, Pneumology Department, Hospital Universitario de Guadalajara, 19002 Guadalajara, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), 28029 Madrid, Spain
- Instituto de Investigación Sanitaria de Castilla La Mancha (IDISCAM), 45071 Toledo, Spain
- Medicine Department, Universidad de Alcalá, 28805 Madrid, Spain
| | - Irene Cano-Pumarega
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), 28029 Madrid, Spain
- Sleep Unit, Pneumology Department, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), 28034 Madrid, Spain
| | - Manuel Sánchez-de-la-Torre
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), 28029 Madrid, Spain
- Precision Medicine Group in Chronic Diseases, Respiratory Department, Hospital Universitario Arnau de Vilanova y Santa María, 5198 Lleida, Spain
- Department of Nursing and Physiotherapy, Faculty of Nursing and Physiotherapy, Universidad de Lleida, IRBLleida, 25002 Lleida, Spain
| | - Olga Mediano
- Sleep Unit, Pneumology Department, Hospital Universitario de Guadalajara, 19002 Guadalajara, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), 28029 Madrid, Spain
- Instituto de Investigación Sanitaria de Castilla La Mancha (IDISCAM), 45071 Toledo, Spain
- Medicine Department, Universidad de Alcalá, 28805 Madrid, Spain
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Ebrahimian S, Sillanmäki S, Hietakoste S, Kulkas A, Töyräs J, Bailón R, Hernando D, Lombardi C, Grote L, Bonsignore MR, Saaresranta T, Pépin JL, Leppänen T, Kainulainen S. Beat-to-beat cardiac repolarization lability increases during hypoxemia and arousals in obstructive sleep apnea patients. Am J Physiol Heart Circ Physiol 2024; 326:H1094-H1104. [PMID: 38426864 DOI: 10.1152/ajpheart.00760.2023] [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: 12/07/2023] [Revised: 02/27/2024] [Accepted: 02/27/2024] [Indexed: 03/02/2024]
Abstract
Obstructive sleep apnea (OSA) is associated with the progression of cardiovascular diseases, arrhythmias, and sudden cardiac death (SCD). However, the acute impacts of OSA and its consequences on heart function are not yet fully elucidated. We hypothesized that desaturation events acutely destabilize ventricular repolarization, and the presence of accompanying arousals magnifies this destabilization. Ventricular repolarization lability measures, comprising heart rate corrected QT (QTc), short-time-variability of QT (STVQT), and QT variability index (QTVI), were calculated before, during, and after 20,955 desaturations from lead II electrocardiography signals of 492 patients with suspected OSA (52% men). Variations in repolarization parameters were assessed during and after desaturations, both with and without accompanying arousals, and groupwise comparisons were performed based on desaturation duration and depth. Regression analyses were used to investigate the influence of confounding factors, comorbidities, and medications. The standard deviation (SD) of QT, mean QTc, SDQTc, and STVQT increased significantly (P < 0.01), whereas QTVI decreased (P < 0.01) during and after desaturations. The changes in SDQT, mean QTc, SDQTc, and QTVI were significantly amplified (P < 0.01) in the presence of accompanying arousals. Desaturation depth was an independent predictor of increased SDQTc (β = 0.405, P < 0.01), STVQT (β = 0.151, P < 0.01), and QTVI (β = 0.009, P < 0.01) during desaturation. Desaturations cause acute changes in ventricular repolarization, with deeper desaturations and accompanying arousals independently contributing to increased ventricular repolarization lability. This may partially explain the increased risk of arrhythmias and SCD in patients with OSA, especially when the OSA phenotype includes high hypoxic load and fragmented sleep.NEW & NOTEWORTHY Nocturnal desaturations are associated with increased ventricular repolarization lability. Deeper desaturations with accompanying arousals increase the magnitude of alterations, independent of confounding factors, comorbidities, and medications. Changes associated with desaturations can partially explain the increased risk of arrhythmias and sudden cardiac death in patients with OSA, especially in patients with high hypoxic load and fragmented sleep. This highlights the importance of detailed electrocardiogram analytics for patients with OSA.
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Affiliation(s)
- Serajeddin Ebrahimian
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Saara Sillanmäki
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Salla Hietakoste
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Antti Kulkas
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Neurophysiology, Seinäjoki Central Hospital, Seinäjoki, Finland
| | - Juha Töyräs
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia
- Science Service Center, Kuopio University Hospital, Kuopio, Finland
| | - Raquel Bailón
- Biomedical Signal Interpretation and Computational Simulation (BSICoS) Group, Aragón Institute of Engineering Research (I3A), IIS Aragón, University of Zaragoza, Zaragoza, Spain
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - David Hernando
- Biomedical Signal Interpretation and Computational Simulation (BSICoS) Group, Aragón Institute of Engineering Research (I3A), IIS Aragón, University of Zaragoza, Zaragoza, Spain
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - Carolina Lombardi
- IRCCS Istituto Auxologico Italiano, Department of Cardiovascular, Neural and Metabolic Sciences, Milan, Italy
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Ludger Grote
- Department of Sleep Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
- Sleep and Vigilance Laboratory, Department of Internal Medicine, University of Gothenburg, Gothenburg, Sweden
| | | | - Tarja Saaresranta
- Division of Medicine, Department of Pulmonary Diseases, Turku University Hospital, University of Turku, Turku, Finland
- Sleep Research Centre, Department of Pulmonary Diseases and Clinical Allergology, University of Turku, Turku, Finland
| | - Jean-Louis Pépin
- Inserm U1300, HP2 Laboratory, University of Grenoble Alpes, Grenoble, France
| | - Timo Leppänen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
- School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia
| | - Samu Kainulainen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
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Tavsanli ME, Zeynalova A, Seckin M. The effect of pharyngeal structures on the severity of obstructive sleep apnea. Sleep Breath 2024; 28:849-857. [PMID: 38135771 DOI: 10.1007/s11325-023-02973-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 11/12/2023] [Accepted: 12/06/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND/OBJECTIVE Obstructive sleep apnea (OSA) is characterized by complete or partial cessation of breathing during sleep. The tongue is suggested as a possible anatomical site causing airway obstruction. However, the role of other pharyngeal structures in the development of OSA remains unclear. We designed a study using both the apnea-hypopnea index (AHI) and the oxygen saturation measurements to assess the severity of OSA. We aimed to identify critical anatomical structures of the upper airway that correlate with the severity of OSA and to evaluate the utility of magnetic resonance imaging (MRI) markers to detect possible OSA in patients without overt symptoms. MATERIALS AND METHODS The study included participants referred to the neurology outpatient clinic from the check-up unit. Participants were grouped as controls, mild, moderate, or severe OSA according to the AHI. A cranial MRI with a field of view (FOV) encompassing the upper airway structures was obtained from all participants. The areas of the tongue and the uvula were measured on the sagittal images by drawing the boundaries of the tissues manually. The posterior air space (PAS) area was evaluated from regions of interest in five parallel planes. RESULTS Of 105 participants, 30 were controls, 27 had mild, 25 had moderate, and 23 had severe OSA. The moderate and severe OSA groups did not differ in oxygen saturation levels during sleep. Therefore, patients with moderate and severe OSA were combined into one group (moderate/severe OSA). The area of the tongue was significantly larger in the moderate/severe OSA group compared to the control group. Both the tongue and the uvula areas showed a significant positive correlation with the AHI. CONCLUSION Our findings suggest that the tongue and uvula have prominent roles in the severity of OSAS. It may be useful to measure these structures with MRI to screen for at-risk individuals without overt OSA symptoms.
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Affiliation(s)
- Mustafa Emir Tavsanli
- Electroneurophysiology Department, Vocational School of Health Services, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
- Acibadem Taksim Hastanesi, İnönü Mah, Nizamiye Cad No 9/1, Sisli, Istanbul, Turkey.
| | - Amalya Zeynalova
- Radiology Department, Acibadem Taksim Hospital, Istanbul, Turkey
| | - Mustafa Seckin
- Department of Neurology, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
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Di Maria J, Hartley S, Levy J, Delord V, Vaugier I, Beghadi J, Ibrahim N, Bensmail D, Prigent H, Léotard A. Adherence to continuous positive airway pressure therapy in patients with spinal cord injury and obstructive sleep apnea: trajectories and predictors. Sleep Breath 2024; 28:753-762. [PMID: 38063994 DOI: 10.1007/s11325-023-02955-5] [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: 06/14/2023] [Revised: 10/06/2023] [Accepted: 11/20/2023] [Indexed: 05/31/2024]
Abstract
PURPOSE To identify specific determinants of non-adherence or cessation of continuous positive airway pressure (CPAP) therapy in a population of patients with spinal cord injuries (SCI). METHODS Retrospective analysis of data from patients with SCI who underwent a full night supervised polysomnography between 2015 and 2021 and presented with moderate to severe obstructive sleep apnea (OSA) and for whom CPAP was indicated. Adherence was studied at 1, 6, and 12 months. Univariate and multivariate analyses were performed to identify factors associated with non-adherence (< 4 h per night or CPAP cessation). Factors studied were demographic and disease-related data and both subjective and objective sleep parameters. RESULTS A total of 60 patients were included (40% cervical SCI). In univariate analysis, the only predictive parameters of non-adherence observed at 1, 6, and 12 months were the average use of CPAP on the 1st night (p = 0.02) and over the 1st week (p ≤ 0.001). A complete lesion (AIS-A) was predictive of non-adherence at 1 and 6 months (p = 0.02 at 6 months), while mask leakage was associated with non-adherence at 12 months (p = 0.02). Upper limb autonomy and the presence of family caregivers did not appear to be protective. In multivariate analysis, only the average use in the first week remained predictive of adherence (> 4 h) in the short, medium and long term. CONCLUSION In patients with SCI and OSA, the 1st week of CPAP treatment seems to be determinant of short-, medium-, and long-term CPAP adherence. Support for SCI patients from the start of treatment is essential and may help avoid treatment failures.
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Affiliation(s)
- Julie Di Maria
- Service de Physiologie et d'Explorations Fonctionnelles, AP-HP, Hôpital Raymond Poincaré, 104 Boulevard Raymond Poincaré, 92380, Garches, France
- « End:icap » U1179 Inserm, UVSQ-Université Paris-Saclay, 78000, Versailles, France
| | - Sarah Hartley
- Service de Physiologie et d'Explorations Fonctionnelles, AP-HP, Hôpital Raymond Poincaré, 104 Boulevard Raymond Poincaré, 92380, Garches, France
| | - Jonathan Levy
- « End:icap » U1179 Inserm, UVSQ-Université Paris-Saclay, 78000, Versailles, France
- Service de médecine physique et de réadaptation, AP-HP, Hôpital Raymond Poincaré, Garches, France
- Sleep Lab Initiative In PMR group (SLIIP), Garches, France
| | | | - Isabelle Vaugier
- Centre d'investigation clinique 1429, AP-HP, Hôpital Raymond Poincaré, Garches, France
| | - Julien Beghadi
- ASV Santé, 125, Avenue Louis Roche, 92230, Gennevilliers, France
| | | | - Djamel Bensmail
- « End:icap » U1179 Inserm, UVSQ-Université Paris-Saclay, 78000, Versailles, France
- Service de médecine physique et de réadaptation, AP-HP, Hôpital Raymond Poincaré, Garches, France
| | - Hélène Prigent
- Service de Physiologie et d'Explorations Fonctionnelles, AP-HP, Hôpital Raymond Poincaré, 104 Boulevard Raymond Poincaré, 92380, Garches, France
- « End:icap » U1179 Inserm, UVSQ-Université Paris-Saclay, 78000, Versailles, France
| | - Antoine Léotard
- Service de Physiologie et d'Explorations Fonctionnelles, AP-HP, Hôpital Raymond Poincaré, 104 Boulevard Raymond Poincaré, 92380, Garches, France.
- « End:icap » U1179 Inserm, UVSQ-Université Paris-Saclay, 78000, Versailles, France.
- Sleep Lab Initiative In PMR group (SLIIP), Garches, France.
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Hajipour M, Hirsch Allen AJ, Beaudin AE, Raneri JK, Jen R, Foster GE, Fogel S, Kendzerska T, Series F, Skomro RP, Robillard R, Kimoff RJ, Hanly PJ, Fels S, Singh A, Azarbarzin A, Ayas NT. All Obstructive Sleep Apnea Events Are Not Created Equal: The Relationship between Event-related Hypoxemia and Physiologic Response. Ann Am Thorac Soc 2024; 21:794-802. [PMID: 38252424 PMCID: PMC11109914 DOI: 10.1513/annalsats.202309-777oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 01/22/2024] [Indexed: 01/23/2024] Open
Abstract
Rationale: Obstructive sleep apnea (OSA) severity is typically assessed by the apnea-hypopnea index (AHI), a frequency-based metric that allocates equal weight to all respiratory events. However, more severe events may have a greater physiologic impact. Objectives: The purpose of this study was to determine whether the degree of event-related hypoxemia would be associated with the postevent physiologic response. Methods: Patients with OSA (AHI, ⩾5/h) from the multicenter Canadian Sleep and Circadian Network cohort were studied. Using mixed-effect linear regression, we examined associations between event-related hypoxic burden (HBev) assessed by the area under the event-related oxygen saturation recording with heart rate changes (ΔHRev), vasoconstriction (vasoconstriction burden [VCBev] assessed with photoplethysmography), and electroencephalographic responses (power ratio before and after events). Results: Polysomnographic recordings from 658 patients (median [interquartile range] age, 55.00 [45.00, 64.00] yr; AHI, 27.15 [14.90, 64.05] events/h; 42% female) were included in the analyses. HBev was associated with an increase in all physiologic responses after controlling for age, sex, body mass index, sleep stage, total sleep time, and study centers; for example, 1 standard deviation increase in HBev was associated with 0.21 [95% confidence interval, 0.2, 0.22], 0.08 [0.08, 0.09], and 0.22 [0.21, 0.23] standard deviation increases in ΔHRev, VCBev, and β-power ratio, respectively. Conclusions: Increased event-related hypoxic burden was associated with greater responses across a broad range of physiologic signals. Future metrics that incorporate information about the variability of these physiologic responses may have promise in providing a more nuanced assessment of OSA severity.
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Affiliation(s)
| | | | | | - Jill K. Raneri
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Sleep Centre, Foothills Medical Centre, Calgary, Alberta, Canada
| | | | - Glen E. Foster
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | | | - Tetyana Kendzerska
- Department of Medicine, Faculty of Medicine, The Ottawa Hospital Research Institute, and
| | - Fréderic Series
- Department of Medicine, Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada
| | - Robert P. Skomro
- Department of Medicine, Faculty of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Rebecca Robillard
- Department of Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - R. John Kimoff
- Respiratory Division and Sleep Laboratory, McGill University Health Centre, Montreal, Quebec, Canada; and
| | - Patrick J. Hanly
- Hotchkiss Brain Institute, and
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Sleep Centre, Foothills Medical Centre, Calgary, Alberta, Canada
| | - Sidney Fels
- Department of Electrical and Computer Engineering, Faculty of Applied Science, University of British Columbia, Vancouver, British Columbia, Canada
| | - Amrit Singh
- Department of Anesthesiology, Pharmacology, and Therapeutics, Faculty of Medicine, and
| | - Ali Azarbarzin
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, Harvard University, Boston, Massachusetts
| | - Najib T. Ayas
- Department of Experimental Medicine
- Department of Medicine
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Gan Q, Zhang Y, Liu Q, Zhang N, Wu K. Ventilatory Burden in Obstructive Sleep Apnea: A Novel Indicator for Assessing Severity? Am J Respir Crit Care Med 2024; 209:1035-1036. [PMID: 38271708 DOI: 10.1164/rccm.202309-1681le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 01/23/2024] [Indexed: 01/27/2024] Open
Affiliation(s)
- Qiming Gan
- Sleep Medicine Center, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; and
| | - Yuting Zhang
- Sleep Medicine Center, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; and
| | - Quanzhen Liu
- Sleep Medicine Center, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; and
- Nanshan School, Guangzhou Medical University, Guangzhou, China
| | - Nuofu Zhang
- Sleep Medicine Center, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; and
| | - Kang Wu
- Sleep Medicine Center, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; and
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Thorarinsdottir EH, Pack AI, Gislason T, Kuna ST, Penzel T, Yun Li Q, Cistulli PA, Magalang UJ, McArdle N, Singh B, Janson C, Aspelund T, Younes M, de Chazal P, Tufik S, Keenan BT. Polysomnographic characteristics of excessive daytime sleepiness phenotypes in obstructive sleep apnea: results from the international sleep apnea global interdisciplinary consortium. Sleep 2024; 47:zsae035. [PMID: 38315511 DOI: 10.1093/sleep/zsae035] [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: 04/18/2023] [Revised: 01/08/2024] [Indexed: 02/07/2024] Open
Abstract
STUDY OBJECTIVES Excessive daytime sleepiness (EDS) is a major symptom of obstructive sleep apnea (OSA). Traditional polysomnographic (PSG) measures only partially explain EDS in OSA. This study analyzed traditional and novel PSG characteristics of two different measures of EDS among patients with OSA. METHODS Sleepiness was assessed using the Epworth Sleepiness Scale (>10 points defined as "risk of dozing") and a measure of general sleepiness (feeling sleepy ≥ 3 times/week defined as "feeling sleepy"). Four sleepiness phenotypes were identified: "non-sleepy," "risk of dozing only," "feeling sleepy only," and "both at risk of dozing and feeling sleepy." RESULTS Altogether, 2083 patients with OSA (69% male) with an apnea-hypopnea index (AHI) ≥ 5 events/hour were studied; 46% were "non-sleepy," 26% at "risk of dozing only," 7% were "feeling sleepy only," and 21% reported both. The two phenotypes at "risk of dozing" had higher AHI, more severe hypoxemia (as measured by oxygen desaturation index, minimum and average oxygen saturation [SpO2], time spent < 90% SpO2, and hypoxic impacts) and they spent less time awake, had shorter sleep latency, and higher heart rate response to arousals than "non-sleepy" and "feeling sleepy only" phenotypes. While statistically significant, effect sizes were small. Sleep stages, frequency of arousals, wake after sleep onset and limb movement did not differ between sleepiness phenotypes after adjusting for confounders. CONCLUSIONS In a large international group of patients with OSA, PSG characteristics were weakly associated with EDS. The physiological measures differed among individuals characterized as "risk of dozing" or "non-sleepy," while "feeling sleepy only" did not differ from "non-sleepy" individuals.
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Affiliation(s)
- Elin H Thorarinsdottir
- Primary Health Care of the Capital Area, Department of Family Medicine, Reykjavik, Iceland
- Faculty of Medicine, Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - Allan I Pack
- Division of Sleep Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Thorarinn Gislason
- Faculty of Medicine, Department of Medicine, University of Iceland, Reykjavik, Iceland
- Sleep Department, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | - Samuel T Kuna
- Department of Medicine, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Thomas Penzel
- Interdisciplinary Center of Sleep Medicine, Charité University Hospital, Berlin, Germany
| | - Qing Yun Li
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peter A Cistulli
- Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- Department of Respiratory and Sleep Medicine, Royal North Shore Hospital, Australia
| | - Ulysses J Magalang
- Division of Pulmonary, Critical Care, and Sleep Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Nigel McArdle
- Western Australian Sleep Disorders Research Institute, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | - Bhajan Singh
- Western Australian Sleep Disorders Research Institute, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | - Christer Janson
- Department of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| | - Thor Aspelund
- Faculty of Medicine, Department of Medicine, University of Iceland, Reykjavik, Iceland
- Icelandic Heart Association, Kopavogur, Iceland
| | - Magdy Younes
- Sleep disorders center, Department of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Philip de Chazal
- Charles Perkins Centre, Faculty of Engineering, University of Sydney, Sydney, Australia
| | - Sergio Tufik
- Department of Psychobiology, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Brendan T Keenan
- Division of Sleep Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Nagasaki T, Miyake M, Sato S, Murase K, Kawaguchi T, Matsumoto T, Nakatsuka Y, Mori Y, Ikeda HO, Sunadome H, Hamada S, Takahashi N, Togawa J, Kanai O, Uiji S, Wakamura T, Tabara Y, Tsujikawa A, Matsuda F, Hirai T, Chin K. Associations between Nocturnal Hypoxemia and Retinal Nerve Fiber Layer Thinning: The Nagahama Study. Ann Am Thorac Soc 2024; 21:644-650. [PMID: 38241090 DOI: 10.1513/annalsats.202304-355oc] [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: 04/18/2023] [Accepted: 01/18/2024] [Indexed: 01/21/2024] Open
Abstract
Rationale: There have been meta-analyses that showed reduced retinal nerve fiber layer (RNFL) thickness, which is a surrogate marker of glaucoma, in patients with obstructive sleep apnea (OSA). However, the sample sizes in these reports were small (<300), and the mechanism of RNFL thinning in patients with OSA was not revealed.Objectives: To investigate the relationship of RNFL thickness with nocturnal hypoxemia or hypoxemic burden in a large-scale study.Methods: In this epidemiological study, 8,309 community residents were enrolled. The actigraphy-modified 3% oxygen desaturation index (acti-ODI3%) and cumulative percentage of sleep time with oxygen saturation <90% (acti-CT90) modified by objective sleep duration using actigraphy were measured. The hypoxemic burden is shown as acti-CT90. Circumpapillary RNFL thickness was determined using optical coherence tomography.Results: Multivariable logistic analysis models revealed that an increase in acti-CT90 was significantly associated with mean RNFL thinning after adjusting for several factors in participants without glaucoma diagnosed or treated previously (β = -0.037; P = 0.009). There were significant differences in mean RNFL thickness among participants stratified according to acti-CT90 (>1.5 vs. ⩽1.5; P = 0.04). Although acti-ODI3% was significantly associated with acti-CT90 (β = 0.72; P < 0.0001), acti-ODI3% was not significantly associated with mean RNFL thickness in the multivariable logistic analysis (β = -0.011; P = 0.48). In addition, acti-CT90 was significantly associated with mean RNFL thickness both in the elderly (⩾60 yr; β = -0.058; P = 0.002) and nonelderly (<60 yr; β = -0.054; P = 0.007).Conclusions: Acti-CT90, but not acti-ODI3%, was associated with mean RNFL thinning in participants irrespective of age in the elderly or nonelderly. Further prospective studies are required to investigate whether the prevention of hypoxic burden, which was shown as acti-CT90 in this study, is favorable for RNFL thinning.
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Affiliation(s)
- Tadao Nagasaki
- Department of Respiratory Care and Sleep Control Medicine
- Department of Respiratory Medicine
| | | | - Susumu Sato
- Department of Respiratory Care and Sleep Control Medicine
| | | | | | | | | | - Yuki Mori
- Department of Ophthalmology and Visual Sciences, and
| | | | | | | | | | - Jumpei Togawa
- Department of Respiratory Care and Sleep Control Medicine
| | - Osamu Kanai
- Department of Respiratory Care and Sleep Control Medicine
| | - Sayaka Uiji
- Nursing Science, Human Health Sciences, Faculty of Medicine, Kyoto University, Kyoto, Japan; and
| | - Tomoko Wakamura
- Nursing Science, Human Health Sciences, Faculty of Medicine, Kyoto University, Kyoto, Japan; and
| | - Yasuharu Tabara
- Center for Genomic Medicine, Graduate School of Medicine, and
| | | | | | | | - Kazuo Chin
- Department of Respiratory Care and Sleep Control Medicine
- Center for Genomic Medicine, Graduate School of Medicine, and
- Department of Sleep Medicine and Respiratory Care, Division of Sleep Medicine, Nihon University of Medicine, Tokyo, Japan
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Te TT, Keenan BT, Veatch OJ, Boland MR, Hubbard RA, Pack AI. Identifying clusters of patient comorbidities associated with obstructive sleep apnea using electronic health records. J Clin Sleep Med 2024; 20:521-533. [PMID: 38054454 PMCID: PMC10985292 DOI: 10.5664/jcsm.10930] [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: 06/27/2023] [Revised: 11/15/2023] [Accepted: 11/16/2023] [Indexed: 12/07/2023]
Abstract
STUDY OBJECTIVES The objectives of this study were to understand the relative comorbidity burden of obstructive sleep apnea (OSA), determine whether these relationships were modified by sex or age, and identify patient subtypes defined by common comorbidities. METHODS Cases with OSA and noncases (controls) were defined using a validated electronic health record (EHR)-based phenotype and matched for age, sex, and time period of follow-up in the EHR. We compared prevalence of the 20 most common comorbidities between matched cases and controls using conditional logistic regression with and without controlling for body mass index. Latent class analysis was used to identify subtypes of OSA cases defined by combinations of these comorbidities. RESULTS In total, 60,586 OSA cases were matched to 60,586 controls (from 1,226,755 total controls). Patients with OSA were more likely to have each of the 20 most common comorbidities compared with controls, with odds ratios ranging from 3.1 to 30.8 in the full matched set and 1.3 to 10.2 after body mass index adjustment. Associations between OSA and these comorbidities were generally stronger in females and patients with younger age at diagnosis. We identified 5 distinct subgroups based on EHR-defined comorbidities: High Comorbidity Burden, Low Comorbidity Burden, Cardiovascular Comorbidities, Inflammatory Conditions and Less Obesity, and Inflammatory Conditions and Obesity. CONCLUSIONS Our study demonstrates the power of leveraging the EHR to understand the relative health burden of OSA, as well as heterogeneity in these relationships based on age and sex. In addition to enrichment for comorbidities, we identified 5 novel OSA subtypes defined by combinations of comorbidities in the EHR, which may be informative for understanding disease outcomes and improving prevention and clinical care. Overall, this study adds more evidence that OSA is heterogeneous and requires personalized management. CITATION Te TT, Keenan BT, Veatch OJ, Boland MR, Hubbard RA, Pack AI. Identifying clusters of patient comorbidities associated with obstructive sleep apnea using electronic health records. J Clin Sleep Med. 2024;20(4):521-533.
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Affiliation(s)
- Tue T. Te
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Brendan T. Keenan
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Olivia J. Veatch
- Department of Psychiatry and Behavioral Sciences, University of Kansas Medical Center, Kansas City, Kansas
| | - Mary Regina Boland
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Rebecca A. Hubbard
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Allan I. Pack
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
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Ma M, Fan Y, Peng Y, Ma Q, Jia M, Qi Z, Yang J, Wang W, Ma X, Yan B. Association of sleep timing with all-cause and cardiovascular mortality: the Sleep Heart Health Study and the Osteoporotic Fractures in Men Study. J Clin Sleep Med 2024; 20:545-553. [PMID: 38561941 PMCID: PMC10985312 DOI: 10.5664/jcsm.10926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 11/19/2023] [Accepted: 11/20/2023] [Indexed: 04/04/2024]
Abstract
STUDY OBJECTIVES Previous studies have highlighted the importance of sleep patterns for human health. This study aimed to investigate the association of sleep timing with all-cause and cardiovascular disease mortality. METHODS Participants were screened from two cohort studies: the Sleep Heart Health Study (SHHS; n = 4,824) and the Osteoporotic Fractures in Men Study (n = 2,658). Sleep timing, including bedtime and wake-up time, was obtained from sleep habit questionnaires at baseline. The sleep midpoint was defined as the halfway point between the bedtime and wake-up time. Restricted cubic splines and Cox proportional hazards regression analyses were used to examine the association between sleep timing and mortality. RESULTS We observed a U-shaped association between bedtime and all-cause mortality in both the SHHS and Osteoporotic Fractures in Men Study groups. Specifically, bedtime at 11:00 pm and waking up at 7:00 am was the nadir for all-cause and cardiovascular disease mortality risks. Individuals with late bedtime (> 12:00 am) had an increased risk of all-cause mortality in SHHS (hazard ratio 1.53, 95% confidence interval 1.28-1.84) and Osteoporotic Fractures in Men Study (hazard ratio 1.27, 95% confidence interval 1.01-1.58). In the SHHS, late wake-up time (> 8:00 am) was associated with increased all-cause mortality (hazard ratio 1.39, 95% confidence interval 1.13-1.72). No significant association was found between wake-up time and cardiovascular disease mortality. Delaying sleep midpoint (> 4:00 am) was also significantly associated with all-cause mortality in the SHHS and Osteoporotic Fractures in Men Study. CONCLUSIONS Sleep timing is associated with all-cause and cardiovascular disease mortality. Our findings highlight the importance of appropriate sleep timing in reducing mortality risk. CITATION Ma M, Fan Y, Peng Y, et al. Association of sleep timing with all-cause and cardiovascular mortality: the Sleep Heart Health Study and the Osteoporotic Fractures in Men Study. J Clin Sleep Med. 2024;20(4):545-553.
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Affiliation(s)
- Mingfang Ma
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Shaanxi Belt and Road Joint Laboratory of Precision Medicine in Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yajuan Fan
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Center for Brain Science, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Shaanxi Belt and Road Joint Laboratory of Precision Medicine in Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yuan Peng
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Center for Brain Science, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Shaanxi Belt and Road Joint Laboratory of Precision Medicine in Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Qingyan Ma
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Center for Brain Science, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Shaanxi Belt and Road Joint Laboratory of Precision Medicine in Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Min Jia
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Shaanxi Belt and Road Joint Laboratory of Precision Medicine in Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Zhiyang Qi
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Center for Brain Science, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Shaanxi Belt and Road Joint Laboratory of Precision Medicine in Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Jian Yang
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Shaanxi Belt and Road Joint Laboratory of Precision Medicine in Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Clinical Research Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Wei Wang
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Center for Brain Science, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Shaanxi Belt and Road Joint Laboratory of Precision Medicine in Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xiancang Ma
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Center for Brain Science, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Shaanxi Belt and Road Joint Laboratory of Precision Medicine in Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Bin Yan
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Shaanxi Belt and Road Joint Laboratory of Precision Medicine in Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Clinical Research Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
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Hynes D, Mansfield D. Diagnosis and management of obstructive sleep apnoea in adults. Aust Prescr 2024; 47:52-56. [PMID: 38737371 PMCID: PMC11081737 DOI: 10.18773/austprescr.2024.010] [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] [Indexed: 05/14/2024] Open
Abstract
Obstructive sleep apnoea is the most common form of sleep-disordered breathing. It is characterised by recurrent occlusion of the airway during sleep. Ensuing apnoeas terminate in arousal from sleep and lead to non-restorative sleep, excessive daytime sleepiness and adverse cardiovascular and neurocognitive effects. A sleep study should be offered to patients reporting witnessed apnoeas or symptoms related to non-restorative sleep. It should also be considered in the presence of predisposing factors for obstructive sleep apnoea (e.g. obesity, tonsillar hypertrophy, retrognathia, refractory hypertension). Treatment should aim to improve symptoms and reduce cardiovascular and neurocognitive risk. The treatment approach should consider the symptom burden, severity, anatomical factors, and patient preference. Positive airway pressure is the most effective treatment option, although intolerance and non-adherence are common. Other options include positional therapy, oral appliances and upper airway surgery. Weight loss and optimisation of cardiovascular disease risk should be considered in selected patients.
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Affiliation(s)
- Daniel Hynes
- Monash Health, Melbourne
- Epworth Sleep Centre, Melbourne
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne
| | - Darren Mansfield
- Monash Health, Melbourne
- Epworth Sleep Centre, Melbourne
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne
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