1
|
Kong SD, Schrire ZM, Lin PH, Simonetti S, Cross N, Mowszowski L, Ireland C, Rosenzweig I, Naismith SL. Validating the CogSleep Screener in older adults at a memory and cognition clinic. J Sleep Res 2024:e14355. [PMID: 39349384 DOI: 10.1111/jsr.14355] [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: 03/06/2024] [Revised: 09/06/2024] [Accepted: 09/07/2024] [Indexed: 10/02/2024]
Abstract
While sleep disturbances are prevalent in older people and are linked with poor health and cognitive outcomes, screening for the range of sleep disturbances is inefficient and therefore not ideal nor routine in memory and cognition clinic settings. We aimed to develop and validate a new brief self-report questionnaire for easy use within memory and cognition clinics. The design for this study was cross-sectional. Older adults (aged ≥50 in Sydney, Australia) were recruited from a memory and cognition research clinic. Participants (N = 402, mean age 67.3 years, range 50-86, 63.6% female) completed a comprehensive medical, neuropsychological, and mental health assessment, alongside self-report instruments, including existing sleep questionnaires and a new 10-item sleep questionnaire, the CogSleep Screener. We examined the factor structure, convergent validity, internal consistency, and discriminant validity of this novel questionnaire. Using exploratory principal component analysis, a 3-factor solution was generated highlighting the factors of Insomnia, Rapid Eye Movement (REM) Symptoms and Daytime Sleepiness. Each factor was significantly correlated with currently used sleep questionnaires for each subdomain (all Spearman rho >0.3, all p < 0.001), suggesting good convergent validity. Internal consistency was also good (Cronbach's α = 0.73). Receiver operating characteristic curves showed good discriminative ability between participants with and without sleep disturbances (all area under curve >0.7, all p < 0.01). The CogSleep Screener has good psychometric properties in older to elderly adults attending a memory and cognition clinic. The instrument has the potential to be used in memory clinics and other clinical settings to provide quick and accurate screening of sleep disturbances.
Collapse
Affiliation(s)
- Shawn Dexiao Kong
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, New South Wales, Australia
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, New South Wales, Australia
| | - Zoe Menczel Schrire
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, New South Wales, Australia
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, New South Wales, Australia
| | - Ping Hsiu Lin
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Simone Simonetti
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, New South Wales, Australia
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, New South Wales, Australia
| | - Nathan Cross
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, New South Wales, Australia
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, New South Wales, Australia
| | - Loren Mowszowski
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Catriona Ireland
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Ivana Rosenzweig
- Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK
| | - Sharon L Naismith
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, New South Wales, Australia
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, New South Wales, Australia
| |
Collapse
|
2
|
Yu X, Guan L, Su P, Zhang Q, Guo X, Li T, Zhang J, Ji Y, Zhang H. Study on OSA screening and influencing factors in community-based elderly hypertensive patients based on single-lead wearable ECG devices. Sleep Breath 2024:10.1007/s11325-024-03136-8. [PMID: 39207664 DOI: 10.1007/s11325-024-03136-8] [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: 05/14/2024] [Revised: 07/30/2024] [Accepted: 08/05/2024] [Indexed: 09/04/2024]
Abstract
PURPOSE Assessing whether single-lead ECG can be effectively and relatively inexpensively used in large-scale OSA screening, and identifying factors influencing moderate-to-severe OSA among elderly hypertensive patients without atypical symptoms in primary care. METHODS The study gathered data from 15 medical institutions in Ningxia between January and December 2022 using cloud platforms. The dataset included basic information and 72-h ECG monitoring for 2573 hypertensive patients over 65. OSA screening was conducted using the single-lead wearable ECG devices based on the ACAT algorithm. A multivariable logistic regression identified the main factors affecting OSA severity in these patients, and the AUC was used to assess the model's predictive accuracy. RESULTS The study found an OSA detection rate of 87.10%, with 55.42% being moderate to severe cases. Key risk factors associated with developing moderate-to-severe OSA included cardiac irregularities like supraventricular extrasystole and atrioventricular block, male gender, lifestyle factors like alcohol consumption and smoking, and health indicators such as SDNN ≤ 100 ms, abnormal LF/HF ratio, BMI, and age. The model's accuracy for predicting OSA, indicated by a ROAUC of 0.625, was moderate. Factors like gender, tea consumption, stroke history, and ventricular tachycardia were also independently linked to OSA severity. CONCLUSION This study combines single-lead wearable ECG devices with the ACAT algorithm for OSA screening in Ningxia, China. Initial screening identified 87.10% of participants as having OSA, with 55.42% being moderate to severe cases. This suggests a convenient, low-cost, and repeatable ECG-based method for OSA screening, potentially improving early detection and management of OSA by identifying potential risk factors.
Collapse
Affiliation(s)
- Xinyan Yu
- The First People's Hospital of Yinchuan, Yinchuan, Ningxia Hui Autonomous Region, China
| | - Linger Guan
- Department of Cardiology, Peking University People's Hospital, Beijing, China
| | - Peng Su
- School of public health, North China University of Science and Technology, Tang Shan city, Hebei Province, China
| | - Qinghong Zhang
- Lijing Yaju Community Health Service Station, The First People's Hospital of Yinchuan, Yinchuan City, Ningxia Hui Autonomous Region, China
| | - Xuan Guo
- Ninghua Road Community Health Service Center, Yinchuan City, Ningxia Hui Autonomous Region, China
| | - Ting Li
- Daba Town Health Center, Qingtongxia City, Ningxia Hui Autonomous Region, China
| | - Jing Zhang
- Yingshuiqiao Town Health Center, Shapotou District, Zhongwei City, Ningxia Hui Autonomous Region, China
| | - Yongli Ji
- Jingyuan Community Health Service Station, Shizuishan City, Ningxia Hui Autonomous Region, China
| | - Haicheng Zhang
- Department of Cardiology, Peking University People's Hospital, Beijing, China.
| |
Collapse
|
3
|
Xiong X, Wang A, He J, Wang C, Liu R, Sun Z, Zhang J, Zhang J. Application of LightGBM hybrid model based on TPE algorithm optimization in sleep apnea detection. Front Neurosci 2024; 18:1324933. [PMID: 38440395 PMCID: PMC10909841 DOI: 10.3389/fnins.2024.1324933] [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: 10/20/2023] [Accepted: 01/30/2024] [Indexed: 03/06/2024] Open
Abstract
Introduction Sleep apnoea syndrome (SAS) is a serious sleep disorder and early detection of sleep apnoea not only reduces treatment costs but also saves lives. Conventional polysomnography (PSG) is widely regarded as the gold standard diagnostic tool for sleep apnoea. However, this method is expensive, time-consuming and inherently disruptive to sleep. Recent studies have pointed out that ECG analysis is a simple and effective diagnostic method for sleep apnea, which can effectively provide physicians with an aid to diagnosis and reduce patients' suffering. Methods To this end, in this paper proposes a LightGBM hybrid model based on ECG signals for efficient detection of sleep apnea. Firstly, the improved Isolated Forest algorithm is introduced to remove abnormal data and solve the data sample imbalance problem. Secondly, the parameters of LightGBM algorithm are optimised by the improved TPE (Tree-structured Parzen Estimator) algorithm to determine the best parameter configuration of the model. Finally, the fusion model TPE_OptGBM is used to detect sleep apnoea. In the experimental phase, we validated the model based on the sleep apnoea ECG database provided by Phillips-University of Marburg, Germany. Results The experimental results show that the model proposed in this paper achieves an accuracy of 95.08%, a precision of 94.80%, a recall of 97.51%, and an F1 value of 96.14%. Discussion All of these evaluation indicators are better than the current mainstream models, which is expected to assist the doctor's diagnostic process and provide a better medical experience for patients.
Collapse
Affiliation(s)
- Xin Xiong
- Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Aikun Wang
- Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Jianfeng He
- Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Chunwu Wang
- College of Physics and Electronic Engineering, Hanshan Normal University, Chaozhou, China
| | - Ruixiang Liu
- Department of Clinical Psychology, Second People’s Hospital of Yunnan, Kunming, China
| | - Zhiran Sun
- Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Jiancong Zhang
- Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Jing Zhang
- Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China
| |
Collapse
|
4
|
Murray AM, Ramar K, Morgenthaler TI. Guidance, not screening. J Clin Sleep Med 2023; 19:2145-2146. [PMID: 38041535 PMCID: PMC10692935 DOI: 10.5664/jcsm.10792] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 08/18/2023] [Accepted: 08/18/2023] [Indexed: 12/03/2023]
Affiliation(s)
- Ann M. Murray
- Center for Sleep Medicine, Mayo Clinic, Rochester, Minnesota
- Mayo Clinic School of Graduate Medical Education, Mayo Clinic, Rochester, Minnesota
| | - Kannan Ramar
- Center for Sleep Medicine, Mayo Clinic, Rochester, Minnesota
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota
| | - Timothy I. Morgenthaler
- Center for Sleep Medicine, Mayo Clinic, Rochester, Minnesota
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota
| |
Collapse
|
5
|
Chen Y, Zhou E, Wang Y, Wu Y, Xu G, Chen L. The past, present, and future of sleep quality assessment and monitoring. Brain Res 2023; 1810:148333. [PMID: 36931581 DOI: 10.1016/j.brainres.2023.148333] [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: 01/05/2023] [Revised: 03/09/2023] [Accepted: 03/12/2023] [Indexed: 03/17/2023]
Abstract
Sleep quality is considered to be an individual's self-satisfaction with all aspects of the sleep experience. Good sleep not only improves a person's physical, mental and daily functional health, but also improves the quality-of-life level to some extent. In contrast, chronic sleep deprivation can increase the risk of diseases such as cardiovascular diseases, metabolic dysfunction and cognitive and emotional dysfunction, and can even lead to increased mortality. The scientific evaluation and monitoring of sleep quality is an important prerequisite for safeguarding and promoting the physiological health of the body. Therefore, we have compiled and reviewed the existing methods and emerging technologies commonly used for subjective and objective evaluation and monitoring of sleep quality, and found that subjective sleep evaluation is suitable for clinical screening and large-scale studies, while objective evaluation results are more intuitive and scientific, and in the comprehensive evaluation of sleep, if we want to get more scientific monitoring results, we should combine subjective and objective monitoring and dynamic monitoring.
Collapse
Affiliation(s)
- Yanyan Chen
- School of Physical Education, Jianghan University, Wuhan Hubei, 430056, China
| | - Enyuan Zhou
- School of Physical Education, Jianghan University, Wuhan Hubei, 430056, China
| | - Yu Wang
- School of Physical Education, Jianghan University, Wuhan Hubei, 430056, China
| | - Yuxiang Wu
- School of Physical Education, Jianghan University, Wuhan Hubei, 430056, China
| | - Guodong Xu
- School of Physical Education, Jianghan University, Wuhan Hubei, 430056, China
| | - Lin Chen
- School of Physical Education, Jianghan University, Wuhan Hubei, 430056, China.
| |
Collapse
|
6
|
Natsky AN, Vakulin A, Chai-Coetzer CL, McEvoy RD, Adams RJ, Kaambwa B. Economic evaluation of diagnostic sleep studies for obstructive sleep apnoea in the adult population: a systematic review. Sleep Med Rev 2022; 62:101608. [DOI: 10.1016/j.smrv.2022.101608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 02/03/2022] [Accepted: 02/03/2022] [Indexed: 11/26/2022]
|
7
|
Gupta M, Ish P, Chakrabarti S, Sen MK, Mishra P, Suri JC. Diagnostic accuracy and feasibility of portable sleep monitoring in patients with obstructive sleep apnea: Re-exploring the utility in the current COVID-19 pandemic. Monaldi Arch Chest Dis 2021; 92. [PMID: 34523322 DOI: 10.4081/monaldi.2021.1818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 08/03/2021] [Indexed: 11/23/2022] Open
Abstract
Portable sleep monitoring (PSM) is a promising alternative diagnostic tool for Obstructive Sleep Apnea (OSA) especially in high burden resource limited settings. We aimed to determine the diagnostic accuracy and feasibility of PSM device-based studies in patients presenting for evaluation of OSA at a tertiary care hospital in North-India. PSM studies (using a Type-III PSM device) were compared for technical reliability and diagnostic accuracy with the standard laboratory-based Type-I polysomnography (PSG). Patients were also interviewed about their experience on undergoing an unsupervised PSM studies. Fifty patients (68% males) were enrolled in the study, of which only 30% patients expressed their concerns about undergoing unsupervised PSM studies which included safety issues, ease of use, diagnostic accuracy, etc. Technical acceptability criteria were easily met by the PSM studies with signal loss in 12% studies (complete data loss and inaccessible data in 6% studies), warranting repetition sleep studies in four patients. The overall sensitivity of PSM device (AHI ≥5) was 93.5% (area under curve; AUC: 0.87). The diagnostic accuracy was 68.5%, 80%, and 91.4% for mild, moderate, and severe cases of OSA, respectively. An overall strong correlation was observed between PSM-AHI (apnoea-hypopnoea index) and PSG (r>0.85, p≤0.001), especially in severe OSA. The observed sensitivity was >90% for AHI>20 (clinically significant OSA), with high specificity of 91% for severe OSA (AUC: 0.94, 0.97 for AHI>20, AHI>30 respectively). The overall Bland-Altman concordance analysis also demonstrated only a small dispersion for PSM studies with a Cronbach's coefficient of 0.95. Therefore, there is good diagnostic accuracy as well as feasibility of home-based portable sleep studies in Indian patients. It can be promoted for widespread use in high burden countries like India for diagnosing and managing appropriately selected stable patients with high clinical probability of OSA, especially during the ongoing crises of COVID-19 pandemic.
Collapse
Affiliation(s)
- Mansi Gupta
- Department of Pulmonary Medicine, Sanjay Gandhi Post-graduate Institute of Medical sciences, Lucknow.
| | - Pranav Ish
- Department of Pulmonary, Critical Care and Sleep Medicine, Vardhmaan Mahavir Medical College and Safdarjung Hospital, New Delhi.
| | - Shibdas Chakrabarti
- Department of Pulmonary, Critical Care and Sleep Medicine, Vardhmaan Mahavir Medical College and Safdarjung Hospital, New Delhi.
| | - Manas Kamal Sen
- Department of Pulmonary, Critical Care and Sleep Medicine, Vardhmaan Mahavir Medical College and Safdarjung Hospital, New Delhi.
| | - Prabhakar Mishra
- Department of Biostatistics, Sanjay Gandhi Post-graduate Institute of Medical Sciences, Lucknow.
| | - Jagdish Chander Suri
- Department of Pulmonary, Critical Care and Sleep Medicine, Vardhmaan Mahavir Medical College and Safdarjung Hospital, New Delhi.
| |
Collapse
|
8
|
Urine 5-Eicosatetraenoic Acids as Diagnostic Markers for Obstructive Sleep Apnea. Antioxidants (Basel) 2021; 10:antiox10081242. [PMID: 34439490 PMCID: PMC8389315 DOI: 10.3390/antiox10081242] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 07/27/2021] [Accepted: 07/30/2021] [Indexed: 11/17/2022] Open
Abstract
Early detection of obstructive sleep apnea (OSA) is needed to reduce cardiovascular sequelae and mortality. Full-night polysomnography has been used for diagnosing OSA, but it is too expensive and inconvenient for patients to handle. Metabolome-wide analyses were performed to find and validate surrogate markers for OSA. We further investigated the mechanism underlying hypoxic induction of the markers in human cells and mice. Arachidonic acid derivatives 5-HETE and 5-oxoETE were detected in urine samples. The levels (mean ± SD, ng per mg creatinine) of 5-HETE and 5-oxoETE were 56.4 ± 26.2 and 46.9 ± 18.4 in OSA patients, respectively, which were significantly higher than those in controls (22.5 ± 4.6 and 18.7 ± 3.6). Both levels correlated with the apnea-hypopnea index and the lowest oxygen saturation on polysomnography. After the treatment with the continuous positive airway pressure, the metabolite levels were significantly reduced compared with those before the treatment. In human mononuclear cells subjected to intermittent hypoxia, 5-HETE and 5-oxoETE productions were induced by hypoxia-inducible factor 1 and glutathione peroxidase. When mice were exposed to intermittent hypoxia, 5-HETE and 5-oxoETE were excreted more in urine. They were identified and verified as new OSA markers reflecting hypoxic stress. The OSA markers could be used for OSA diagnosis and therapeutic evaluation.
Collapse
|
9
|
Schiza S, Simonds A, Randerath W, Fanfulla F, Testelmans D, Grote L, Montserrat JM, Pepin JL, Verbraecken J, Ersu R, Bonsignore MR. Sleep laboratories reopening and COVID-19: a European perspective. Eur Respir J 2021; 57:13993003.02722-2020. [PMID: 33214202 PMCID: PMC7683791 DOI: 10.1183/13993003.02722-2020] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 11/03/2020] [Indexed: 01/05/2023]
Abstract
Clinical activities regarding sleep disordered breathing (SDB) have been sharply interrupted during the initial phase of the coronavirus disease 2019 (COVID-19) epidemic throughout Europe. In the past months, activities have gradually restarted, according to epidemiological phase of COVID-19 and national recommendations. The recent increase in cases throughout Europe demands a reconsideration of management strategies of SDB accordingly. Diagnosis of SDB and initiation of treatment pose some specific problems to be addressed to preserve the safety of patients and health personnel. This perspective document by a group of European sleep experts aims to summarise some different approaches followed in Europe and United States, which reflect national recommendations according to the epidemiological phase of the COVID-19 infection. Respiratory sleep medicine is likely to change in the near future, and use of telemedicine will grow to avoid unnecessary risks and continue to provide optimal care to patients. In addition, the document covers paediatric sleep studies and indications for titration of noninvasive ventilation, as well as precautions to be followed by patients who are already on positive airway pressure treatment. A single consensus document developed by the European Respiratory Society and national societies would be desirable to harmonise SDB management throughout Europe. Specific precautions should be applied for starting activities in respiratory sleep centres during the COVID-19 epidemichttps://bit.ly/3keRjii
Collapse
Affiliation(s)
- Sophia Schiza
- Sleep Disorders Center, Dept of Respiratory Medicine, Medical School, University of Crete, Heraklion, Greece
| | - Anita Simonds
- Sleep and Ventilation Unit, Royal Brompton and Harefield NHS Foundation Trust and National Heart and Lung Institute, London, UK
| | - Winfried Randerath
- Institute of Pneumology at the University of Cologne, Bethanien Hospital, Solingen, Germany
| | - Francesco Fanfulla
- Respiratory Function and Sleep Medicine Unit, IstitutiCliniciScientifici Maugeri IRCCS, Pavia, Italy
| | - Dries Testelmans
- Clinical Dept of Respiratory Diseases, UZ Leuven - BREATHE, Department CHROMETA, KU Leuven, Leuven, Belgium
| | - Ludger Grote
- Sleep Disorders Centre, Respiratory Medicine, Sahlgrenska University Hospital and Centre for Sleep and Wake Disorders, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Joseph M Montserrat
- Sleep Laboratory, Hospital Clinic, Universitat de Barcelona, Barcelona, and CIBER de Enfermedades Respiratorias, Madrid, Spain
| | - Jean-Louis Pepin
- HP2 laboratory, INSERM U1042, University Grenoble Alpes and Grenoble Alpes University Hospital, Grenoble, France
| | - Johan Verbraecken
- Dept of Pulmonary Medicine and Multidisciplinary Sleep Disorders Centre, Antwerp University Hospital and University of Antwerp, Edegem (Antwerp), Belgium
| | - Refika Ersu
- Division of Pediatric Respirology, Children's Hospital of Eastern Ontario, University of Ottawa, Ottawa, ON, Canada
| | - Maria R Bonsignore
- Sleep Disordered Breathing and Chronic Respiratory Failure Clinic, PROMISE Dept, University of Palermo, and IRIB, National Research Council (CNR), Palermo, Italy
| |
Collapse
|
10
|
Oceja E, Rodríguez P, Jurado MJ, Luz Alonso M, del Río G, Villar MÁ, Mediano O, Martínez M, Juarros S, Merino M, Corral J, Luna C, Kheirandish-Gozal L, Gozal D, Durán-Cantolla J. Validity and Cost-Effectiveness of Pediatric Home Respiratory Polygraphy for the Diagnosis of Obstructive Sleep Apnea in Children: Rationale, Study Design, and Methodology. Methods Protoc 2021; 4:9. [PMID: 33477929 PMCID: PMC7838960 DOI: 10.3390/mps4010009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 01/14/2021] [Accepted: 01/15/2021] [Indexed: 12/15/2022] Open
Abstract
Obstructive sleep apnea (OSA) in children is a prevalent, albeit largely undiagnosed disease associated with a large spectrum of morbidities. Overnight in-lab polysomnography remains the gold standard diagnostic approach, but is time-consuming, inconvenient, and expensive, and not readily available in many places. Simplified Home Respiratory Polygraphy (HRP) approaches have been proposed to reduce costs and facilitate the diagnostic process. However, evidence supporting the validity of HRP is still scarce, hampering its implementation in routine clinical use. The objectives were: Primary; to establish the diagnostic and therapeutic decision validity of a simplified HRP approach compared to PSG among children at risk of OSA. Secondary: (a) Analyze the cost-effectiveness of the HRP versus in-lab PSG in evaluation and treatment of pediatric OSA; (b) Evaluate the impact of therapeutic interventions based on HRP versus PSG findings six months after treatment using sleep and health parameters and quality of life instruments; (c) Discovery and validity of the urine biomarkers to establish the diagnosis of OSA and changes after treatment.
Collapse
Affiliation(s)
- Esther Oceja
- Domiciliary Hospitalization, Sleep Unit, OSI Araba University Hospital, 01004 Vitoria, Spain;
| | - Paula Rodríguez
- Research Service and Bioaraba Research Institute, OSI Araba University Hospital, UPV/EHU, 01004 Vitoria, Spain;
| | - María José Jurado
- Sleep Unit, Hospital Universitario Valle de Hebrón, 08035 Barcelona, Spain;
| | - Maria Luz Alonso
- Sleep Unit, Complejo Hospitalario de Burgos, 09006 Burgos, Spain
| | | | | | - Olga Mediano
- Sleep Unit, Hospital de Guadalajara, 19002 Guadalajara, Spain;
| | - Marian Martínez
- Sleep Unit, Hospital Universitario Marqués de Valdecilla, 39008 Santander, Spain;
| | - Santiago Juarros
- Sleep Unit, Hospital Universitario de Valladolid, 47012 Valladolid, Spain;
| | - Milagros Merino
- Sleep Unit, Hospital Universitario La Paz, 28046 Madrid, Spain;
| | - Jaime Corral
- Sleep Unit, Complejo Hospitalario de Cáceres, 100003 Cáceres, Spain;
| | - Carmen Luna
- Sleep Unit, Hospital Universitario 12 de Octubre, 280035 Madrid, Spain;
| | - Leila Kheirandish-Gozal
- Department of Child Health and Child Health Research Institute, School of Medicine, University of Missouri, Columbia, MO 65201, USA; (L.K.-G.); (D.G.)
| | - David Gozal
- Department of Child Health and Child Health Research Institute, School of Medicine, University of Missouri, Columbia, MO 65201, USA; (L.K.-G.); (D.G.)
| | - Joaquín Durán-Cantolla
- Research Service and Bioaraba Research Institute, OSI Araba University Hospital, UPV/EHU, 01004 Vitoria, Spain;
| |
Collapse
|
11
|
Pendharkar SR, Povitz M, Bansback N, George CFP, Morrison D, Ayas NT. Testing and treatment for obstructive sleep apnea in Canada: funding models must change. CMAJ 2018; 189:E1524-E1528. [PMID: 29229714 DOI: 10.1503/cmaj.170393] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Affiliation(s)
- Sachin R Pendharkar
- Departments of Medicine and Community Health Sciences (Pendharkar), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Departments of Medicine (Povitz, George) and Epidemiology, and Biostatistics (Povitz), Schulich School of Medicine & Dentistry, Western University London, Ont.; School of Population and Public Health (Bansback), Faculty of Medicine, University of British Columbia, Vancouver, BC; Department of Medicine (Morrison), Dalhousie University, Halifax, NS; Sleep Disorders Program and Department of Medicine (Ayas), University of British Columbia, Vancouver, BC
| | - Marcus Povitz
- Departments of Medicine and Community Health Sciences (Pendharkar), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Departments of Medicine (Povitz, George) and Epidemiology, and Biostatistics (Povitz), Schulich School of Medicine & Dentistry, Western University London, Ont.; School of Population and Public Health (Bansback), Faculty of Medicine, University of British Columbia, Vancouver, BC; Department of Medicine (Morrison), Dalhousie University, Halifax, NS; Sleep Disorders Program and Department of Medicine (Ayas), University of British Columbia, Vancouver, BC
| | - Nick Bansback
- Departments of Medicine and Community Health Sciences (Pendharkar), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Departments of Medicine (Povitz, George) and Epidemiology, and Biostatistics (Povitz), Schulich School of Medicine & Dentistry, Western University London, Ont.; School of Population and Public Health (Bansback), Faculty of Medicine, University of British Columbia, Vancouver, BC; Department of Medicine (Morrison), Dalhousie University, Halifax, NS; Sleep Disorders Program and Department of Medicine (Ayas), University of British Columbia, Vancouver, BC
| | - Charles F P George
- Departments of Medicine and Community Health Sciences (Pendharkar), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Departments of Medicine (Povitz, George) and Epidemiology, and Biostatistics (Povitz), Schulich School of Medicine & Dentistry, Western University London, Ont.; School of Population and Public Health (Bansback), Faculty of Medicine, University of British Columbia, Vancouver, BC; Department of Medicine (Morrison), Dalhousie University, Halifax, NS; Sleep Disorders Program and Department of Medicine (Ayas), University of British Columbia, Vancouver, BC
| | - Debra Morrison
- Departments of Medicine and Community Health Sciences (Pendharkar), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Departments of Medicine (Povitz, George) and Epidemiology, and Biostatistics (Povitz), Schulich School of Medicine & Dentistry, Western University London, Ont.; School of Population and Public Health (Bansback), Faculty of Medicine, University of British Columbia, Vancouver, BC; Department of Medicine (Morrison), Dalhousie University, Halifax, NS; Sleep Disorders Program and Department of Medicine (Ayas), University of British Columbia, Vancouver, BC
| | - Najib T Ayas
- Departments of Medicine and Community Health Sciences (Pendharkar), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Departments of Medicine (Povitz, George) and Epidemiology, and Biostatistics (Povitz), Schulich School of Medicine & Dentistry, Western University London, Ont.; School of Population and Public Health (Bansback), Faculty of Medicine, University of British Columbia, Vancouver, BC; Department of Medicine (Morrison), Dalhousie University, Halifax, NS; Sleep Disorders Program and Department of Medicine (Ayas), University of British Columbia, Vancouver, BC
| | | |
Collapse
|
12
|
Basile M, Baiamonte P, Mazzuca E, Principe S, Pennavaria F, Benfante A, Scichilone N. Sleep Disturbances in COPD are Associated with Heterogeneity of Airway Obstruction. COPD 2018; 15:350-354. [PMID: 30188194 DOI: 10.1080/15412555.2018.1504015] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Individuals with Chronic Obstructive Pulmonary Disease (COPD) experience sleep disturbances due to the impact of respiratory symptoms on sleep quality. We explored whether sleep disturbances in COPD are linked to heterogeneity of airway constriction. The impact of breathing problems on sleep quality was measured in consecutive COPD outpatients with the COPD and Asthma Sleep Impact Scale (CASIS) questionnaire. Impulse oscillometry technique (IOS) was employed to assess heterogeneity of airway constriction. Subjects with a previous or concomitant diagnosis of asthma or obstructive sleep apnea (OSA) were excluded. Fifty COPD subjects (M/F 40/10; age: 71 ± 8 yrs, Body Mass Index (BMI): 26.2 ± 4.7 kg/m2, Forced Expiratory Volume in the first second (FEV1): 65 ± 25% predicted; mean ± SD) were enrolled. The mean CASIS score was 36 ± 3.3, and the R5-R20 value was 0.2 ± 0.15 kPa s L-1. The CASIS score was significantly higher in subjects with increased R5-R20 (>0.07 kPa s L-1) (39 ± 24; p = 0.02) compared to normal R5-R20 (21 ± 17). When subjects were categorized on the basis of lung function in severely versus non severely obstructed (FEV1 ≤ or >50% predicted) or air trappers versus non air trappers (Residual Volume, RV ≥ or <120% predicted) the CASIS score remained unchanged (for FEV1: 37 ± 23 versus 33 ± 25, respectively, p = 0.61; for RV: 30 ± 20 versus 40 ± 23, p = 0.16). Sleep disturbances due to COPD symptoms are associated with heterogeneity of airway constriction, possibly reflecting peripheral airway dysfunction.
Collapse
Affiliation(s)
- Marco Basile
- a Dipartimento Biomedico di Medicina Interna e Specialistica (Di.Bi.MIS) , University of Palermo . Palermo , Italy
| | - Pierpaolo Baiamonte
- a Dipartimento Biomedico di Medicina Interna e Specialistica (Di.Bi.MIS) , University of Palermo . Palermo , Italy
| | - Emilia Mazzuca
- a Dipartimento Biomedico di Medicina Interna e Specialistica (Di.Bi.MIS) , University of Palermo . Palermo , Italy
| | - Stefania Principe
- a Dipartimento Biomedico di Medicina Interna e Specialistica (Di.Bi.MIS) , University of Palermo . Palermo , Italy
| | - Federica Pennavaria
- a Dipartimento Biomedico di Medicina Interna e Specialistica (Di.Bi.MIS) , University of Palermo . Palermo , Italy
| | - Alida Benfante
- a Dipartimento Biomedico di Medicina Interna e Specialistica (Di.Bi.MIS) , University of Palermo . Palermo , Italy
| | - Nicola Scichilone
- a Dipartimento Biomedico di Medicina Interna e Specialistica (Di.Bi.MIS) , University of Palermo . Palermo , Italy
| |
Collapse
|
13
|
[Diagnostic accuracy of STOP-Bang questionnaire on moderate sleep apnoea in primary care]. GACETA SANITARIA 2018; 33:421-426. [PMID: 30033095 DOI: 10.1016/j.gaceta.2018.05.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 04/23/2018] [Accepted: 05/11/2018] [Indexed: 02/05/2023]
Abstract
OBJECTIVE We aimed to compare the diagnostic utility of the STOP-Bang questionnaire for moderate apnoea against the gold standard (type I polysomnography) in a primary care setting. METHOD Study of diagnostic utility in primary care. Estimated sample: 85 cases and 85 healthy controls. In convenience sampling, 203 patients were recruited by their physicians at six health centres. Twenty-five were excluded, and 57 women and 121 men, of whom 74 had apnoea-hypopnoea index (AHI) ≥15, were analyzed. STOP-Bang was validated by comparing scores in the same patient with the apnoea-hypopnoea index observed in polysomnography, as a gold standard. Sample size, ROC curve analysis and optimal cut-off points were identified with the easyROC, pROC, and OptimalCutpoints packages. RESULTS The area under the curve in moderate apnoea (AHI ≥15) of the STOP-Bang was 0.777 (0.667-0.808), with optimal cut-off points different by sex (4 in women and 6 in men). In the cross-validation with k=10, the area under the curve for the STOP-Bang was 0.678. CONCLUSIONS The STOP-Bang presents a diagnostic moderate utility for AHI≥15, but superior to other scales, in a community population. Its performance is more appropriate in women.
Collapse
|
14
|
Corral J, Sánchez-Quiroga MÁ, Carmona-Bernal C, Sánchez-Armengol Á, de la Torre AS, Durán-Cantolla J, Egea CJ, Salord N, Monasterio C, Terán J, Alonso-Alvarez ML, Muñoz-Méndez J, Arias EM, Cabello M, Montserrat JM, De la Peña M, Serrano JC, Barbe F, Masa JF. Conventional Polysomnography Is Not Necessary for the Management of Most Patients with Suspected Obstructive Sleep Apnea. Noninferiority, Randomized Controlled Trial. Am J Respir Crit Care Med 2017. [PMID: 28636405 DOI: 10.1164/rccm.201612-2497oc] [Citation(s) in RCA: 95] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
RATIONALE Home respiratory polygraphy may be a simpler alternative to in-laboratory polysomnography for the management of more symptomatic patients with obstructive sleep apnea, but its effectiveness has not been evaluated across a broad clinical spectrum. OBJECTIVES To compare the long-term effectiveness (6 mo) of home respiratory polygraphy and polysomnography management protocols in patients with intermediate-to-high sleep apnea suspicion (most patients requiring a sleep study). METHODS A multicentric, noninferiority, randomized controlled trial with two open parallel arms and a cost-effectiveness analysis was performed in 12 tertiary hospitals in Spain. Sequentially screened patients with sleep apnea suspicion were randomized to respiratory polygraphy or polysomnography protocols. Moreover, both arms received standardized therapeutic decision-making, continuous positive airway pressure (CPAP) treatment or a healthy habit assessment, auto-CPAP titration (for CPAP indication), health-related quality-of-life questionnaires, 24-hour blood pressure monitoring, and polysomnography at the end of follow-up. The main outcome was the Epworth Sleepiness Scale measurement. The noninferiority criterion was -2 points on the Epworth scale. MEASUREMENTS AND MAIN RESULTS In total, 430 patients were randomized. The respiratory polygraphy protocol was noninferior to the polysomnography protocol based on the Epworth scale. Quality of life, blood pressure, and polysomnography were similar between protocols. Respiratory polygraphy was the most cost-effective protocol, with a lower per-patient cost of 416.7€. CONCLUSIONS Home respiratory polygraphy management is similarly effective to polysomnography, with a substantially lower cost. Therefore, polysomnography is not necessary for most patients with suspected sleep apnea. This finding could change established clinical practice, with a clear economic benefit. Clinical trial registered with www.clinicaltrials.gov (NCT 01752556).
Collapse
Affiliation(s)
- Jaime Corral
- 1 San Pedro de Alcántara Hospital, Cáceres, Spain.,2 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Maria-Ángeles Sánchez-Quiroga
- 2 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain.,3 Virgen del Puerto Hospital, Plasencia, Cáceres, Spain
| | | | | | - Alicia Sánchez de la Torre
- 2 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain.,5 Arnau de Vilanova y Santa María Hospital, Lleida, Spain
| | - Joaquín Durán-Cantolla
- 2 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain.,6 Organización Sanitaria Integrada Araba University Hospital, Bioaraba Research Institute, Vitoria, Spain
| | - Carlos J Egea
- 2 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain.,6 Organización Sanitaria Integrada Araba University Hospital, Bioaraba Research Institute, Vitoria, Spain
| | - Neus Salord
- 2 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain.,7 Bellvitge Hospital, Hospitalet de Llobregat, Barcelona, Spain
| | - Carmen Monasterio
- 2 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain.,7 Bellvitge Hospital, Hospitalet de Llobregat, Barcelona, Spain
| | - Joaquín Terán
- 2 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain.,8 Burgos University Hospital, Burgos, Spain
| | - M Luz Alonso-Alvarez
- 2 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain.,8 Burgos University Hospital, Burgos, Spain
| | | | | | | | - Josep M Montserrat
- 2 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain.,11 Clinic Hospital, Barcelona, Spain
| | - Mónica De la Peña
- 2 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain.,12 Son Espases Hospital, Mallorca, Spain; and
| | | | - Ferran Barbe
- 2 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain.,5 Arnau de Vilanova y Santa María Hospital, Lleida, Spain
| | - Juan F Masa
- 1 San Pedro de Alcántara Hospital, Cáceres, Spain.,2 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | | |
Collapse
|
15
|
Sânchez-de-la-Torre M, Gozal D. Obstructive sleep apnea: in search of precision. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2017; 2:217-228. [PMID: 31548993 DOI: 10.1080/23808993.2017.1361319] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Introduction Obstructive sleep apnea (OSA) is a highly prevalent condition that is viewed as a major global health concern, while affecting approximately 10% of the middle-aged population. OSA is a chronic disease that has been conclusively associated with poor quality of life, cognitive impairments and mood alterations, enhanced cardiovascular and metabolic morbidity, thereby leading to marked increments in healthcare costs. Areas covered The authors have reviewed the current evidence on the pathophysiology of OSA and its consequences, the heterogeneity of its phenotypic expression, the current therapeutic applications and their efficacy, and the implications for diagnosis, treatment and follow-up strategies in the context of the clinical management of OSA. Expert commentary Personalized medicine in OSA identifies different needs and approaches: i) phenotyping and defining the different and segregated clusters of OSA patients whose recognition may improve prognostic predictions and guide therapeutic strategies; ii) to further characterize and predict the impact of OSA and its treatment, particularly revolving around mortality and the processes closely related to ageing (cardiovascular diseases, cancer and neurocognitive diseases); iii) the introduction of new technologies including telemedicine that have shown promise in the implementation of personalized medicine approaches.
Collapse
Affiliation(s)
- Manuel Sânchez-de-la-Torre
- Hospital Universitari Arnau de Vilanova and Santa Maria. Group of Translational Research in Respiratory Medicine, IRBLleida, Lleida, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain, Hospital San Pedro de Alcántara, Cáceres, Spain
| | - David Gozal
- Department of Pediatrics, Pritzker School of Medicine, Biological Sciences Division, The University of Chicago, Chicago, IL, USA
| |
Collapse
|
16
|
Farrell PC, Richards G. Recognition and treatment of sleep-disordered breathing: an important component of chronic disease management. J Transl Med 2017; 15:114. [PMID: 28545542 PMCID: PMC5445298 DOI: 10.1186/s12967-017-1211-y] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Accepted: 05/13/2017] [Indexed: 12/14/2022] Open
Abstract
Sleep-disordered breathing (SDB) is a highly prevalent condition, and is associated with many debilitating chronic diseases. The role of untreated obstructive sleep apnea (OSA) in arterial hypertension has been recognized in international guidelines. Treatment with continuous positive airway pressure (CPAP) is associated with clinically-relevant reductions in blood pressure. In heart failure (HF), SDB is associated with worse prognosis and increased mortality. Major HF guidelines recommend that patients should be treated for sleep apnea to improve their HF status. Severe OSA increases the risk of arrhythmias, including atrial fibrillation, influences risk management in stroke, and is highly prevalent in patients with type 2 diabetes. Effective treatment with CPAP improves the success of antiarrhythmic interventions, improves outcomes in stroke and reduces hyperglycemia in diabetes. Patients with coronary artery disease also have a high prevalence of SDB, which is independently associated with worse outcomes. The role of CPAP for secondary cardiovascular prevention remains to be determined. Data from large, well-conducted clinical trials have shown that noninvasive ventilation, targeted to markedly reduce hypercapnia, significantly improves survival and reduces readmission in stable hypercapnic chronic obstructive pulmonary disease. The association of SDB with chronic diseases contributes to the high healthcare costs incurred by SDB patients. SDB also has an important negative impact on quality of life, which is reversed by CPAP treatment. The high prevalence of SDB, and its association with diseases that cause significant morbidity and mortality, suggest that the diagnosis and management of SDB is an important therapeutic goal. First, adherent CPAP treatment significantly improves the quality of life of all patients with SDB; second, it eliminates the negative impact of untreated SDB on any associated chronic diseases; and third, it significantly reduces the increased costs of all hospital and medical services directly associated with untreated SDB. In short, the recognition and treatment of SDB is vital for the continued health and wellbeing of individual patients with SDB.
Collapse
Affiliation(s)
- Peter C. Farrell
- ResMed Science Center, c/o ResMed, 9001 Spectrum Center Blvd., San Diego, CA 92123 USA
| | | |
Collapse
|
17
|
Kapur VK, Auckley DH, Chowdhuri S, Kuhlmann DC, Mehra R, Ramar K, Harrod CG. Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline. JOURNAL OF CLINICAL SLEEP MEDICINE : JCSM : OFFICIAL PUBLICATION OF THE AMERICAN ACADEMY OF SLEEP MEDICINE 2017. [PMID: 28162150 DOI: 10.5664/jcsm.6506-- or] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
INTRODUCTION This guideline establishes clinical practice recommendations for the diagnosis of obstructive sleep apnea (OSA) in adults and is intended for use in conjunction with other American Academy of Sleep Medicine (AASM) guidelines on the evaluation and treatment of sleep-disordered breathing in adults. METHODS The AASM commissioned a task force of experts in sleep medicine. A systematic review was conducted to identify studies, and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) process was used to assess the evidence. The task force developed recommendations and assigned strengths based on the quality of evidence, the balance of benefits and harms, patient values and preferences, and resource use. In addition, the task force adopted foundational recommendations from prior guidelines as "good practice statements", that establish the basis for appropriate and effective diagnosis of OSA. The AASM Board of Directors approved the final recommendations. RECOMMENDATIONS The following recommendations are intended as a guide for clinicians diagnosing OSA in adults. Under GRADE, a STRONG recommendation is one that clinicians should follow under most circumstances. A WEAK recommendation reflects a lower degree of certainty regarding the outcome and appropriateness of the patient-care strategy for all patients. The ultimate judgment regarding propriety of any specific care must be made by the clinician in light of the individual circumstances presented by the patient, available diagnostic tools, accessible treatment options, and resources. Good Practice Statements: Diagnostic testing for OSA should be performed in conjunction with a comprehensive sleep evaluation and adequate follow-up. Polysomnography is the standard diagnostic test for the diagnosis of OSA in adult patients in whom there is a concern for OSA based on a comprehensive sleep evaluation.Recommendations: We recommend that clinical tools, questionnaires and prediction algorithms not be used to diagnose OSA in adults, in the absence of polysomnography or home sleep apnea testing. (STRONG). We recommend that polysomnography, or home sleep apnea testing with a technically adequate device, be used for the diagnosis of OSA in uncomplicated adult patients presenting with signs and symptoms that indicate an increased risk of moderate to severe OSA. (STRONG). We recommend that if a single home sleep apnea test is negative, inconclusive, or technically inadequate, polysomnography be performed for the diagnosis of OSA. (STRONG). We recommend that polysomnography, rather than home sleep apnea testing, be used for the diagnosis of OSA in patients with significant cardiorespiratory disease, potential respiratory muscle weakness due to neuromuscular condition, awake hypoventilation or suspicion of sleep related hypoventilation, chronic opioid medication use, history of stroke or severe insomnia. (STRONG). We suggest that, if clinically appropriate, a split-night diagnostic protocol, rather than a full-night diagnostic protocol for polysomnography be used for the diagnosis of OSA. (WEAK). We suggest that when the initial polysomnogram is negative and clinical suspicion for OSA remains, a second polysomnogram be considered for the diagnosis of OSA. (WEAK).
Collapse
Affiliation(s)
| | - Dennis H Auckley
- MetroHealth Medical Center and Case Western Reserve University, Cleveland, OH
| | - Susmita Chowdhuri
- John D. Dingell VA Medical Center and Wayne State University, Detroit, MI
| | | | | | | | | |
Collapse
|
18
|
Kapur VK, Auckley DH, Chowdhuri S, Kuhlmann DC, Mehra R, Ramar K, Harrod CG. Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline. J Clin Sleep Med 2017. [PMID: 28162150 DOI: 10.5664/jcsm.6506\] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
INTRODUCTION This guideline establishes clinical practice recommendations for the diagnosis of obstructive sleep apnea (OSA) in adults and is intended for use in conjunction with other American Academy of Sleep Medicine (AASM) guidelines on the evaluation and treatment of sleep-disordered breathing in adults. METHODS The AASM commissioned a task force of experts in sleep medicine. A systematic review was conducted to identify studies, and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) process was used to assess the evidence. The task force developed recommendations and assigned strengths based on the quality of evidence, the balance of benefits and harms, patient values and preferences, and resource use. In addition, the task force adopted foundational recommendations from prior guidelines as "good practice statements", that establish the basis for appropriate and effective diagnosis of OSA. The AASM Board of Directors approved the final recommendations. RECOMMENDATIONS The following recommendations are intended as a guide for clinicians diagnosing OSA in adults. Under GRADE, a STRONG recommendation is one that clinicians should follow under most circumstances. A WEAK recommendation reflects a lower degree of certainty regarding the outcome and appropriateness of the patient-care strategy for all patients. The ultimate judgment regarding propriety of any specific care must be made by the clinician in light of the individual circumstances presented by the patient, available diagnostic tools, accessible treatment options, and resources. Good Practice Statements: Diagnostic testing for OSA should be performed in conjunction with a comprehensive sleep evaluation and adequate follow-up. Polysomnography is the standard diagnostic test for the diagnosis of OSA in adult patients in whom there is a concern for OSA based on a comprehensive sleep evaluation.Recommendations: We recommend that clinical tools, questionnaires and prediction algorithms not be used to diagnose OSA in adults, in the absence of polysomnography or home sleep apnea testing. (STRONG). We recommend that polysomnography, or home sleep apnea testing with a technically adequate device, be used for the diagnosis of OSA in uncomplicated adult patients presenting with signs and symptoms that indicate an increased risk of moderate to severe OSA. (STRONG). We recommend that if a single home sleep apnea test is negative, inconclusive, or technically inadequate, polysomnography be performed for the diagnosis of OSA. (STRONG). We recommend that polysomnography, rather than home sleep apnea testing, be used for the diagnosis of OSA in patients with significant cardiorespiratory disease, potential respiratory muscle weakness due to neuromuscular condition, awake hypoventilation or suspicion of sleep related hypoventilation, chronic opioid medication use, history of stroke or severe insomnia. (STRONG). We suggest that, if clinically appropriate, a split-night diagnostic protocol, rather than a full-night diagnostic protocol for polysomnography be used for the diagnosis of OSA. (WEAK). We suggest that when the initial polysomnogram is negative and clinical suspicion for OSA remains, a second polysomnogram be considered for the diagnosis of OSA. (WEAK).
Collapse
Affiliation(s)
| | - Dennis H Auckley
- MetroHealth Medical Center and Case Western Reserve University, Cleveland, OH
| | - Susmita Chowdhuri
- John D. Dingell VA Medical Center and Wayne State University, Detroit, MI
| | | | | | | | | |
Collapse
|
19
|
Kapur VK, Auckley DH, Chowdhuri S, Kuhlmann DC, Mehra R, Ramar K, Harrod CG. Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline. J Clin Sleep Med 2017; 13:479-504. [PMID: 28162150 DOI: 10.5664/jcsm.6506] [Citation(s) in RCA: 1538] [Impact Index Per Article: 219.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Accepted: 01/31/2017] [Indexed: 12/11/2022]
Abstract
INTRODUCTION This guideline establishes clinical practice recommendations for the diagnosis of obstructive sleep apnea (OSA) in adults and is intended for use in conjunction with other American Academy of Sleep Medicine (AASM) guidelines on the evaluation and treatment of sleep-disordered breathing in adults. METHODS The AASM commissioned a task force of experts in sleep medicine. A systematic review was conducted to identify studies, and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) process was used to assess the evidence. The task force developed recommendations and assigned strengths based on the quality of evidence, the balance of benefits and harms, patient values and preferences, and resource use. In addition, the task force adopted foundational recommendations from prior guidelines as "good practice statements", that establish the basis for appropriate and effective diagnosis of OSA. The AASM Board of Directors approved the final recommendations. RECOMMENDATIONS The following recommendations are intended as a guide for clinicians diagnosing OSA in adults. Under GRADE, a STRONG recommendation is one that clinicians should follow under most circumstances. A WEAK recommendation reflects a lower degree of certainty regarding the outcome and appropriateness of the patient-care strategy for all patients. The ultimate judgment regarding propriety of any specific care must be made by the clinician in light of the individual circumstances presented by the patient, available diagnostic tools, accessible treatment options, and resources. Good Practice Statements: Diagnostic testing for OSA should be performed in conjunction with a comprehensive sleep evaluation and adequate follow-up. Polysomnography is the standard diagnostic test for the diagnosis of OSA in adult patients in whom there is a concern for OSA based on a comprehensive sleep evaluation.Recommendations: We recommend that clinical tools, questionnaires and prediction algorithms not be used to diagnose OSA in adults, in the absence of polysomnography or home sleep apnea testing. (STRONG). We recommend that polysomnography, or home sleep apnea testing with a technically adequate device, be used for the diagnosis of OSA in uncomplicated adult patients presenting with signs and symptoms that indicate an increased risk of moderate to severe OSA. (STRONG). We recommend that if a single home sleep apnea test is negative, inconclusive, or technically inadequate, polysomnography be performed for the diagnosis of OSA. (STRONG). We recommend that polysomnography, rather than home sleep apnea testing, be used for the diagnosis of OSA in patients with significant cardiorespiratory disease, potential respiratory muscle weakness due to neuromuscular condition, awake hypoventilation or suspicion of sleep related hypoventilation, chronic opioid medication use, history of stroke or severe insomnia. (STRONG). We suggest that, if clinically appropriate, a split-night diagnostic protocol, rather than a full-night diagnostic protocol for polysomnography be used for the diagnosis of OSA. (WEAK). We suggest that when the initial polysomnogram is negative and clinical suspicion for OSA remains, a second polysomnogram be considered for the diagnosis of OSA. (WEAK).
Collapse
Affiliation(s)
| | - Dennis H Auckley
- MetroHealth Medical Center and Case Western Reserve University, Cleveland, OH
| | - Susmita Chowdhuri
- John D. Dingell VA Medical Center and Wayne State University, Detroit, MI
| | | | | | | | | |
Collapse
|
20
|
Kapur VK, Auckley DH, Chowdhuri S, Kuhlmann DC, Mehra R, Ramar K, Harrod CG. Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline. JOURNAL OF CLINICAL SLEEP MEDICINE : JCSM : OFFICIAL PUBLICATION OF THE AMERICAN ACADEMY OF SLEEP MEDICINE 2017. [PMID: 28162150 DOI: 10.5664/jcsm.6506;] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
INTRODUCTION This guideline establishes clinical practice recommendations for the diagnosis of obstructive sleep apnea (OSA) in adults and is intended for use in conjunction with other American Academy of Sleep Medicine (AASM) guidelines on the evaluation and treatment of sleep-disordered breathing in adults. METHODS The AASM commissioned a task force of experts in sleep medicine. A systematic review was conducted to identify studies, and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) process was used to assess the evidence. The task force developed recommendations and assigned strengths based on the quality of evidence, the balance of benefits and harms, patient values and preferences, and resource use. In addition, the task force adopted foundational recommendations from prior guidelines as "good practice statements", that establish the basis for appropriate and effective diagnosis of OSA. The AASM Board of Directors approved the final recommendations. RECOMMENDATIONS The following recommendations are intended as a guide for clinicians diagnosing OSA in adults. Under GRADE, a STRONG recommendation is one that clinicians should follow under most circumstances. A WEAK recommendation reflects a lower degree of certainty regarding the outcome and appropriateness of the patient-care strategy for all patients. The ultimate judgment regarding propriety of any specific care must be made by the clinician in light of the individual circumstances presented by the patient, available diagnostic tools, accessible treatment options, and resources. Good Practice Statements: Diagnostic testing for OSA should be performed in conjunction with a comprehensive sleep evaluation and adequate follow-up. Polysomnography is the standard diagnostic test for the diagnosis of OSA in adult patients in whom there is a concern for OSA based on a comprehensive sleep evaluation.Recommendations: We recommend that clinical tools, questionnaires and prediction algorithms not be used to diagnose OSA in adults, in the absence of polysomnography or home sleep apnea testing. (STRONG). We recommend that polysomnography, or home sleep apnea testing with a technically adequate device, be used for the diagnosis of OSA in uncomplicated adult patients presenting with signs and symptoms that indicate an increased risk of moderate to severe OSA. (STRONG). We recommend that if a single home sleep apnea test is negative, inconclusive, or technically inadequate, polysomnography be performed for the diagnosis of OSA. (STRONG). We recommend that polysomnography, rather than home sleep apnea testing, be used for the diagnosis of OSA in patients with significant cardiorespiratory disease, potential respiratory muscle weakness due to neuromuscular condition, awake hypoventilation or suspicion of sleep related hypoventilation, chronic opioid medication use, history of stroke or severe insomnia. (STRONG). We suggest that, if clinically appropriate, a split-night diagnostic protocol, rather than a full-night diagnostic protocol for polysomnography be used for the diagnosis of OSA. (WEAK). We suggest that when the initial polysomnogram is negative and clinical suspicion for OSA remains, a second polysomnogram be considered for the diagnosis of OSA. (WEAK).
Collapse
Affiliation(s)
| | - Dennis H Auckley
- MetroHealth Medical Center and Case Western Reserve University, Cleveland, OH
| | - Susmita Chowdhuri
- John D. Dingell VA Medical Center and Wayne State University, Detroit, MI
| | | | | | | | | |
Collapse
|
21
|
Kapur VK, Auckley DH, Chowdhuri S, Kuhlmann DC, Mehra R, Ramar K, Harrod CG. Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline. JOURNAL OF CLINICAL SLEEP MEDICINE : JCSM : OFFICIAL PUBLICATION OF THE AMERICAN ACADEMY OF SLEEP MEDICINE 2017. [PMID: 28162150 DOI: 10.5664/jcsm.6506" or "" = "] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
INTRODUCTION This guideline establishes clinical practice recommendations for the diagnosis of obstructive sleep apnea (OSA) in adults and is intended for use in conjunction with other American Academy of Sleep Medicine (AASM) guidelines on the evaluation and treatment of sleep-disordered breathing in adults. METHODS The AASM commissioned a task force of experts in sleep medicine. A systematic review was conducted to identify studies, and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) process was used to assess the evidence. The task force developed recommendations and assigned strengths based on the quality of evidence, the balance of benefits and harms, patient values and preferences, and resource use. In addition, the task force adopted foundational recommendations from prior guidelines as "good practice statements", that establish the basis for appropriate and effective diagnosis of OSA. The AASM Board of Directors approved the final recommendations. RECOMMENDATIONS The following recommendations are intended as a guide for clinicians diagnosing OSA in adults. Under GRADE, a STRONG recommendation is one that clinicians should follow under most circumstances. A WEAK recommendation reflects a lower degree of certainty regarding the outcome and appropriateness of the patient-care strategy for all patients. The ultimate judgment regarding propriety of any specific care must be made by the clinician in light of the individual circumstances presented by the patient, available diagnostic tools, accessible treatment options, and resources. Good Practice Statements: Diagnostic testing for OSA should be performed in conjunction with a comprehensive sleep evaluation and adequate follow-up. Polysomnography is the standard diagnostic test for the diagnosis of OSA in adult patients in whom there is a concern for OSA based on a comprehensive sleep evaluation.Recommendations: We recommend that clinical tools, questionnaires and prediction algorithms not be used to diagnose OSA in adults, in the absence of polysomnography or home sleep apnea testing. (STRONG). We recommend that polysomnography, or home sleep apnea testing with a technically adequate device, be used for the diagnosis of OSA in uncomplicated adult patients presenting with signs and symptoms that indicate an increased risk of moderate to severe OSA. (STRONG). We recommend that if a single home sleep apnea test is negative, inconclusive, or technically inadequate, polysomnography be performed for the diagnosis of OSA. (STRONG). We recommend that polysomnography, rather than home sleep apnea testing, be used for the diagnosis of OSA in patients with significant cardiorespiratory disease, potential respiratory muscle weakness due to neuromuscular condition, awake hypoventilation or suspicion of sleep related hypoventilation, chronic opioid medication use, history of stroke or severe insomnia. (STRONG). We suggest that, if clinically appropriate, a split-night diagnostic protocol, rather than a full-night diagnostic protocol for polysomnography be used for the diagnosis of OSA. (WEAK). We suggest that when the initial polysomnogram is negative and clinical suspicion for OSA remains, a second polysomnogram be considered for the diagnosis of OSA. (WEAK).
Collapse
Affiliation(s)
| | - Dennis H Auckley
- MetroHealth Medical Center and Case Western Reserve University, Cleveland, OH
| | - Susmita Chowdhuri
- John D. Dingell VA Medical Center and Wayne State University, Detroit, MI
| | | | | | | | | |
Collapse
|
22
|
Kapur VK, Auckley DH, Chowdhuri S, Kuhlmann DC, Mehra R, Ramar K, Harrod CG. Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline. JOURNAL OF CLINICAL SLEEP MEDICINE : JCSM : OFFICIAL PUBLICATION OF THE AMERICAN ACADEMY OF SLEEP MEDICINE 2017. [PMID: 28162150 DOI: 10.5664/jcsm.6506"] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
INTRODUCTION This guideline establishes clinical practice recommendations for the diagnosis of obstructive sleep apnea (OSA) in adults and is intended for use in conjunction with other American Academy of Sleep Medicine (AASM) guidelines on the evaluation and treatment of sleep-disordered breathing in adults. METHODS The AASM commissioned a task force of experts in sleep medicine. A systematic review was conducted to identify studies, and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) process was used to assess the evidence. The task force developed recommendations and assigned strengths based on the quality of evidence, the balance of benefits and harms, patient values and preferences, and resource use. In addition, the task force adopted foundational recommendations from prior guidelines as "good practice statements", that establish the basis for appropriate and effective diagnosis of OSA. The AASM Board of Directors approved the final recommendations. RECOMMENDATIONS The following recommendations are intended as a guide for clinicians diagnosing OSA in adults. Under GRADE, a STRONG recommendation is one that clinicians should follow under most circumstances. A WEAK recommendation reflects a lower degree of certainty regarding the outcome and appropriateness of the patient-care strategy for all patients. The ultimate judgment regarding propriety of any specific care must be made by the clinician in light of the individual circumstances presented by the patient, available diagnostic tools, accessible treatment options, and resources. Good Practice Statements: Diagnostic testing for OSA should be performed in conjunction with a comprehensive sleep evaluation and adequate follow-up. Polysomnography is the standard diagnostic test for the diagnosis of OSA in adult patients in whom there is a concern for OSA based on a comprehensive sleep evaluation.Recommendations: We recommend that clinical tools, questionnaires and prediction algorithms not be used to diagnose OSA in adults, in the absence of polysomnography or home sleep apnea testing. (STRONG). We recommend that polysomnography, or home sleep apnea testing with a technically adequate device, be used for the diagnosis of OSA in uncomplicated adult patients presenting with signs and symptoms that indicate an increased risk of moderate to severe OSA. (STRONG). We recommend that if a single home sleep apnea test is negative, inconclusive, or technically inadequate, polysomnography be performed for the diagnosis of OSA. (STRONG). We recommend that polysomnography, rather than home sleep apnea testing, be used for the diagnosis of OSA in patients with significant cardiorespiratory disease, potential respiratory muscle weakness due to neuromuscular condition, awake hypoventilation or suspicion of sleep related hypoventilation, chronic opioid medication use, history of stroke or severe insomnia. (STRONG). We suggest that, if clinically appropriate, a split-night diagnostic protocol, rather than a full-night diagnostic protocol for polysomnography be used for the diagnosis of OSA. (WEAK). We suggest that when the initial polysomnogram is negative and clinical suspicion for OSA remains, a second polysomnogram be considered for the diagnosis of OSA. (WEAK).
Collapse
Affiliation(s)
| | - Dennis H Auckley
- MetroHealth Medical Center and Case Western Reserve University, Cleveland, OH
| | - Susmita Chowdhuri
- John D. Dingell VA Medical Center and Wayne State University, Detroit, MI
| | | | | | | | | |
Collapse
|
23
|
Kapur VK, Auckley DH, Chowdhuri S, Kuhlmann DC, Mehra R, Ramar K, Harrod CG. Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline. JOURNAL OF CLINICAL SLEEP MEDICINE : JCSM : OFFICIAL PUBLICATION OF THE AMERICAN ACADEMY OF SLEEP MEDICINE 2017. [PMID: 28162150 DOI: 10.5664/jcsm.6506,] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
INTRODUCTION This guideline establishes clinical practice recommendations for the diagnosis of obstructive sleep apnea (OSA) in adults and is intended for use in conjunction with other American Academy of Sleep Medicine (AASM) guidelines on the evaluation and treatment of sleep-disordered breathing in adults. METHODS The AASM commissioned a task force of experts in sleep medicine. A systematic review was conducted to identify studies, and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) process was used to assess the evidence. The task force developed recommendations and assigned strengths based on the quality of evidence, the balance of benefits and harms, patient values and preferences, and resource use. In addition, the task force adopted foundational recommendations from prior guidelines as "good practice statements", that establish the basis for appropriate and effective diagnosis of OSA. The AASM Board of Directors approved the final recommendations. RECOMMENDATIONS The following recommendations are intended as a guide for clinicians diagnosing OSA in adults. Under GRADE, a STRONG recommendation is one that clinicians should follow under most circumstances. A WEAK recommendation reflects a lower degree of certainty regarding the outcome and appropriateness of the patient-care strategy for all patients. The ultimate judgment regarding propriety of any specific care must be made by the clinician in light of the individual circumstances presented by the patient, available diagnostic tools, accessible treatment options, and resources. Good Practice Statements: Diagnostic testing for OSA should be performed in conjunction with a comprehensive sleep evaluation and adequate follow-up. Polysomnography is the standard diagnostic test for the diagnosis of OSA in adult patients in whom there is a concern for OSA based on a comprehensive sleep evaluation.Recommendations: We recommend that clinical tools, questionnaires and prediction algorithms not be used to diagnose OSA in adults, in the absence of polysomnography or home sleep apnea testing. (STRONG). We recommend that polysomnography, or home sleep apnea testing with a technically adequate device, be used for the diagnosis of OSA in uncomplicated adult patients presenting with signs and symptoms that indicate an increased risk of moderate to severe OSA. (STRONG). We recommend that if a single home sleep apnea test is negative, inconclusive, or technically inadequate, polysomnography be performed for the diagnosis of OSA. (STRONG). We recommend that polysomnography, rather than home sleep apnea testing, be used for the diagnosis of OSA in patients with significant cardiorespiratory disease, potential respiratory muscle weakness due to neuromuscular condition, awake hypoventilation or suspicion of sleep related hypoventilation, chronic opioid medication use, history of stroke or severe insomnia. (STRONG). We suggest that, if clinically appropriate, a split-night diagnostic protocol, rather than a full-night diagnostic protocol for polysomnography be used for the diagnosis of OSA. (WEAK). We suggest that when the initial polysomnogram is negative and clinical suspicion for OSA remains, a second polysomnogram be considered for the diagnosis of OSA. (WEAK).
Collapse
Affiliation(s)
| | - Dennis H Auckley
- MetroHealth Medical Center and Case Western Reserve University, Cleveland, OH
| | - Susmita Chowdhuri
- John D. Dingell VA Medical Center and Wayne State University, Detroit, MI
| | | | | | | | | |
Collapse
|
24
|
Moro M, Westover MB, Kelly J, Bianchi MT. Decision Modeling in Sleep Apnea: The Critical Roles of Pretest Probability, Cost of Untreated Obstructive Sleep Apnea, and Time Horizon. J Clin Sleep Med 2017; 12:409-18. [PMID: 26518699 DOI: 10.5664/jcsm.5596] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Accepted: 09/23/2015] [Indexed: 12/19/2022]
Abstract
STUDY OBJECTIVES Obstructive sleep apnea (OSA) is associated with increased morbidity and mortality, and treatment with positive airway pressure (PAP) is cost-effective. However, the optimal diagnostic strategy remains a subject of debate. Prior modeling studies have not consistently supported the widely held assumption that home sleep testing (HST) is cost-effective. METHODS We modeled four strategies: (1) treat no one; (2) treat everyone empirically; (3) treat those testing positive during in-laboratory polysomnography (PSG) via in-laboratory titration; and (4) treat those testing positive during HST with auto-PAP. The population was assumed to lack independent reasons for in-laboratory PSG (such as insomnia, periodic limb movements in sleep, complex apnea). We considered the third-party payer perspective, via both standard (quality-adjusted) and pure cost methods. RESULTS The preferred strategy depended on three key factors: pretest probability of OSA, cost of untreated OSA, and time horizon. At low prevalence and low cost of untreated OSA, the treat no one strategy was favored, whereas empiric treatment was favored for high prevalence and high cost of untreated OSA. In-laboratory backup for failures in the at-home strategy increased the preference for the at-home strategy. Without laboratory backup in the at-home arm, the in-laboratory strategy was increasingly preferred at longer time horizons. CONCLUSION Using a model framework that captures a broad range of clinical possibilities, the optimal diagnostic approach to uncomplicated OSA depends on pretest probability, cost of untreated OSA, and time horizon. Estimating each of these critical factors remains a challenge warranting further investigation.
Collapse
Affiliation(s)
- Marilyn Moro
- Neurology Department, Massachusetts General Hospital, Boston, MA
| | | | - Jessica Kelly
- Neurology Department, Massachusetts General Hospital, Boston, MA
| | - Matt T Bianchi
- Neurology Department, Massachusetts General Hospital, Boston, MA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA
| |
Collapse
|
25
|
Automatic detection of respiratory arrests in OSA patients using PPG and machine learning techniques. Neural Comput Appl 2016. [DOI: 10.1007/s00521-016-2617-9] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
26
|
Automatic sleep staging in obstructive sleep apnea patients using photoplethysmography, heart rate variability signal and machine learning techniques. Neural Comput Appl 2016. [DOI: 10.1007/s00521-016-2365-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
27
|
He K, Kim R, Kapur VK. Home- vs. Laboratory-Based Management Of OSA: An Economic Review. CURRENT SLEEP MEDICINE REPORTS 2016. [DOI: 10.1007/s40675-016-0042-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
|
28
|
Response to Braghiroli et al., regarding our study “Accuracy of a novel auto-CPAP device to evaluate the residual apnea-hypopnea index in patients with obstructive sleep apnea”. Sleep Breath 2016; 20:247-8. [DOI: 10.1007/s11325-015-1242-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Accepted: 08/11/2015] [Indexed: 10/23/2022]
|
29
|
Leger D, Elbaz M, Piednoir B, Carron A, Texereau J. Evaluation of the add-on NOWAPI® medical device for remote monitoring of compliance to Continuous Positive Airway Pressure and treatment efficacy in obstructive sleep apnea. Biomed Eng Online 2016; 15:26. [PMID: 26922498 PMCID: PMC4769842 DOI: 10.1186/s12938-016-0139-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Accepted: 02/14/2016] [Indexed: 12/13/2022] Open
Abstract
Background Optimizing the measurement of Continuous Positive Airway Pressure (CPAP) compliance and treatment efficacy is paramount for patients with obstructive sleep apnea syndrome (OSAS). Compliance knowledge is currently based on data coming from CPAP machines; however algorithms and measured parameters vary from one machine to another. This study was conducted to clinically evaluate a novel device, NOWAPI®, designed to assess compliance remotely in conjunction with any CPAP machine. NOWAPI® was tested against polygraphy, the gold standard for the measurement of CPAP treatment duration and residual apnea-hypopnea index (AHI). Methods Single group assignment, open label, non-randomized. Sleep laboratory setting. 22 adult patients with OSAS treated by CPAP were included. Recordings were performed during one night while the patient was treated with his/her usual CPAP and interface. NOWAPI® data were collected electronically and compared to data acquisition and visual scoring using an EMBLETTA® GOLD polygraph. Statistics were only descriptive. Results Recordings were performed with six different CPAP machines and three different interfaces (full facemask, nasal pillow, nasal mask). The median [Q1; Q3] absolute difference in CPAP treatment duration between NOWAPI® and polygraphy was of 1.0 min [0.0; 12.0], corresponding to a relative difference of 0.21 % [0.0; 2.2] (Per Protocol data set, n = 20). NOWAPI® tended to underestimate residual AHI in a magnitude of two events per hour as compared to polygraphy. The device was well tolerated and the patient satisfaction was good. Conclusions This clinical study confirmed prior bench tests, showing that NOWAPI® estimate of CPAP treatment duration was clinically acceptable and in agreement with polygraphy. Although a limited number of OSAS patients treated by CPAP were included, relevant findings for the device improvement were identified. Trial Registration ClinicalTrials.gov identifier: NCT01441622. The study was funded by Air Liquide HealthCare
Collapse
Affiliation(s)
- Damien Leger
- EA 7330 VIFASOM Paris Descartes; Centre du Sommeil et de la Vigilance, Sorbonne Paris Cité, AP-HP Hôtel Dieu de Paris, Université Paris Descartes, 1 place du Parvis Notre Dame, 75181, Paris Cedex 04, France.
| | - Maxime Elbaz
- EA 7330 VIFASOM Paris Descartes; Centre du Sommeil et de la Vigilance, Sorbonne Paris Cité, AP-HP Hôtel Dieu de Paris, Université Paris Descartes, 1 place du Parvis Notre Dame, 75181, Paris Cedex 04, France.
| | - Benoît Piednoir
- Air Liquide HealthCare, Medical R&D, Research Centre Paris Saclay, 1, chemin de la Porte des Loges, 78354, Jouy En Josas, France.
| | - Amélie Carron
- Air Liquide Applied Maths, Research Centre Paris Saclay, 1, chemin de la Porte des Loges, 78354, Jouy En Josas, France.
| | - Joëlle Texereau
- Air Liquide HealthCare, Medical R&D, Research Centre Paris Saclay, 1, chemin de la Porte des Loges, 78354, Jouy En Josas, France. .,APHP, Hôpital Cochin, Department of Clinical Physiology, Université Paris Descartes, 27 Faubourg Saint-Jacques, 75014, Paris, France.
| |
Collapse
|
30
|
Abstract
There is a bidirectional association between OSA and systemic hypertension. The strengths of this relationship appear to be modulated by factors such as age, sex, and somnolence. The 24-h BP circadian pattern also appears to be influenced by OSA. Patients with this syndrome exhibit a high prevalence of nondipping or riser circadian patterns, which are related to clinical and subclinical organ damage in the heart and brain. However, the influence of OSA on nocturnal hypertension development has not yet been clarified. A special area of interest is the recognized relationship between OSA and resistant hypertension. The majority of patients with resistant hypertension suffer OSA. CPAP treatment significantly reduces BP in such patients and could play a clinical role in the management of BP in these patients. Several meta-analyses have demonstrated a concordant mild effect of CPAP on systemic hypertension. This effect is related to CPAP compliance, somnolence status, and baseline BP. The effects of oral appliances on BP in patients with OSA must be evaluated in randomized controlled trials. In the absence of additional data reported by clinical studies on other antihypertensive drug treatments, diuretics, particularly antialdosteronic diuretic agents, should be considered the first-line antihypertensive drug treatment in patients with OSA. By reducing parapharyngeal edema and secondary upper airway obstruction, these drugs appear to improve OSA severity and also to reduce BP.
Collapse
Affiliation(s)
- Gerard Torres
- From the Respiratory Department, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Catalonia
| | - Manuel Sánchez-de-la-Torre
- From the Respiratory Department, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Catalonia; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Ferran Barbé
- From the Respiratory Department, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Catalonia; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain..
| |
Collapse
|
31
|
Zeidler MR, Santiago V, Dzierzewski JM, Mitchell MN, Santiago S, Martin JL. Predictors of Obstructive Sleep Apnea on Polysomnography after a Technically Inadequate or Normal Home Sleep Test. J Clin Sleep Med 2015; 11:1313-8. [PMID: 26156951 DOI: 10.5664/jcsm.5194] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2014] [Accepted: 05/19/2015] [Indexed: 11/13/2022]
Abstract
STUDY OBJECTIVES Home sleep testing (HST) is an accepted alternative to polysomnography (PSG) for diagnosing obstructive sleep apnea (OSA) in high-risk populations. Clinical guidelines recommend PSG in cases where the HST is technically inadequate (TI) or fails to establish the diagnosis of OSA in patients with high pretest probability. This retrospective study evaluated predictors of OSA on PSG within patients who had a TI or normal HST. METHODS Electronic medical records were reviewed on 1,157 patients referred for HST at our sleep center. Two hundred thirty-eight patients had a TI or normal HST with subsequent PSG. Age, BMI, Epworth score, HST result, and PSG-based apnea-hypopnea index (AHI) were abstracted. RESULTS Two hundred thirty-eight consecutive patients with either a normal HST (n = 127) or TI HST (n = 111) underwent subsequent PSG. Of 127 who had a normal HST, 76% had a normal PSG and 24% had OSA (23 mild, 6 moderate, 1 severe). Of 111 who had a TI HST, 29% had a normal PSG and 71% had OSA (43 mild, 19 moderate, 17 severe). Individuals younger than 50 years old with a normal HST were more likely to have a normal PSG. Older age predicted diagnosis of OSA on PSG among individuals with a TI HST. CONCLUSION In this retrospective analysis of a clinical sample, when the HST is interpreted as normal in a younger patient population, the subsequent PSG is likewise normal in majority of the patients, although significant OSA is sometimes discovered. When a HST is read as TI, the majority of patients have OSA.
Collapse
Affiliation(s)
- Michelle R Zeidler
- VA Greater Los Angeles Healthcare System, Pulmonary/Critical Care and Sleep Medicine.,David Geffen School of Medicine at the University of California, Los Angeles
| | - Vicente Santiago
- VA Central California Healthcare System and University of California, San Francisco Fresno Medical Education Program
| | - Joseph M Dzierzewski
- David Geffen School of Medicine at the University of California, Los Angeles.,VA Greater Los Angeles Healthcare System, Geriatric Research, Education and Clinical Center
| | - Michael N Mitchell
- VA Greater Los Angeles Healthcare System, Geriatric Research, Education and Clinical Center
| | - Silverio Santiago
- VA Greater Los Angeles Healthcare System, Pulmonary/Critical Care and Sleep Medicine
| | - Jennifer L Martin
- David Geffen School of Medicine at the University of California, Los Angeles.,VA Greater Los Angeles Healthcare System, Geriatric Research, Education and Clinical Center
| |
Collapse
|
32
|
Torres G, Sánchez‐de‐la‐Torre M, Martínez‐Alonso M, Gómez S, Sacristán O, Cabau J, Barbé F. Use of Ambulatory Blood Pressure Monitoring for the Screening of Obstructive Sleep Apnea. J Clin Hypertens (Greenwich) 2015; 17:802-9. [PMID: 26205355 PMCID: PMC8032127 DOI: 10.1111/jch.12619] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2015] [Revised: 05/25/2015] [Accepted: 05/29/2015] [Indexed: 11/30/2022]
Abstract
Obstructive sleep apnea (OSA) is a frequent and underdiagnosed disease in hypertensive individuals who experience cardiovascular events. The aim of this study was to define the best model that combined the ambulatory blood pressure (BP) monitoring (ABPM), anthropometric, sociodemographic, and biological variables to identify moderate to severe OSA. A total of 105 ABPM-confirmed hypertensive patients were evaluated using their clinical histories, blood analyses, ABPM, and home respiratory polygraphic results. A multivariate logistic regression analysis was performed to identify the significant variables. The best model included sex, presence of obesity (body mass index ≥30 kg/m(2) and abdominal obesity), mean daytime BP, mean nocturnal heart rate, and minimal diastolic nighttime BP to achieve an area under the curve of 0.804. Based on this model, a validated scoring system was developed to identify the patients with an apnea-hypopnea index ≥15. Therefore, in untreated hypertensive patients who snored, ABPM variables might be used to identify patients at risk for OSA.
Collapse
Affiliation(s)
- Gerard Torres
- Cardiovascular Risk UnitSanta Maria HospitalLleidaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES)MadridSpain
| | - Manuel Sánchez‐de‐la‐Torre
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES)MadridSpain
- Sleep UnitSanta Maria HospitalLleidaSpain
- Respiratory DepartmentHospital Arnau de VilanovaLleidaSpain
- Institut de Recerca Biomédica de Lleida (IRB Lleida)University of LleidaCataloniaSpain
| | - Montserrat Martínez‐Alonso
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES)MadridSpain
- Respiratory DepartmentHospital Arnau de VilanovaLleidaSpain
- Institut de Recerca Biomédica de Lleida (IRB Lleida)University of LleidaCataloniaSpain
| | - Silvia Gómez
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES)MadridSpain
- Sleep UnitSanta Maria HospitalLleidaSpain
- Respiratory DepartmentHospital Arnau de VilanovaLleidaSpain
- Institut de Recerca Biomédica de Lleida (IRB Lleida)University of LleidaCataloniaSpain
| | | | - Jacint Cabau
- Cardiovascular Risk UnitSanta Maria HospitalLleidaSpain
| | - Ferran Barbé
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES)MadridSpain
- Sleep UnitSanta Maria HospitalLleidaSpain
- Respiratory DepartmentHospital Arnau de VilanovaLleidaSpain
- Institut de Recerca Biomédica de Lleida (IRB Lleida)University of LleidaCataloniaSpain
| |
Collapse
|
33
|
Mayer G, Apelt S, Hessmann P, Reese JP, Dodel R, Heitmann J. Versorgung von Schlafapnoe-Patienten in Hessen. SOMNOLOGIE 2015. [DOI: 10.1007/s11818-015-0021-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|
34
|
Vat S, Haba-Rubio J, Tafti M, Tobback N, Andries D, Heinzer R. Scoring criteria for portable monitor recordings: a comparison of four hypopnoea definitions in a population-based cohort. Thorax 2015; 70:1047-53. [PMID: 26294685 DOI: 10.1136/thoraxjnl-2014-205982] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2014] [Accepted: 07/22/2015] [Indexed: 11/03/2022]
Abstract
RATIONALE Limited-channel portable monitors (PMs) are increasingly used as an alternative to polysomnography (PSG) for the diagnosis of obstructive sleep apnoea (OSA). However, recommendations for the scoring of PM recordings are still lacking. Pulse-wave amplitude (PWA) drops, considered as surrogates for EEG arousals, may increase the detection sensitivity for respiratory events in PM recordings. OBJECTIVES To investigate the performance of four different hypopnoea scoring criteria, using 3% or 4% oxygen desaturation levels, including or not PWA drops as surrogates for EEG arousals, and to determine the impact of measured versus reported sleep time on OSA diagnosis. METHODS Subjects drawn from a population-based cohort underwent a complete home PSG. The PSG recordings were scored using the 2012 American Academy of Sleep Medicine criteria to determine the apnoea-hypopnoea index (AHI). Recordings were then rescored using only parameters available on type 3 PM devices according to different hypopnoea criteria and patients-reported sleep duration to determine the 'portable monitor AHIs' (PM-AHIs). MAIN RESULTS 312 subjects were included. Overall, PM-AHIs showed a good concordance with the PSG-based AHI although it tended to slightly underestimate it. The PM-AHI using 3% desaturation without PWA drops showed the best diagnostic accuracy for AHI thresholds of ≥ 5/h and ≥ 15/h (correctly classifying 94.55% and 93.27% of subjects, respectively, vs 80.13% and 87.50% with PWA drops). There was a significant but modest correlation between PWA drops and EEG arousals (r=0.20, p=0.0004). CONCLUSION Interpretation of PM recordings using hypopnoea criteria which include 3% desaturation without PWA drops as EEG arousal surrogate showed the best diagnosis accuracy compared with full PSG.
Collapse
Affiliation(s)
- Sopharat Vat
- Centre for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), Lausanne, Switzerland Pulmonary Medicine Department, University Hospital of Montreal (CHUM), Montreal, Quebec, Canada
| | - Jose Haba-Rubio
- Centre for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Mehdi Tafti
- Centre for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), Lausanne, Switzerland Centre for Integrative Genomics, University of Lausanne (UNIL), Lausanne, Switzerland
| | - Nadia Tobback
- Centre for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Daniela Andries
- Centre for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Raphael Heinzer
- Centre for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), Lausanne, Switzerland Pulmonary Department (CHUV), Lausanne University Hospital, Lausanne, Vaud, Switzerland
| |
Collapse
|
35
|
Sériès F. Should All Congestive Heart Failure Patients Have a Routine Sleep Apnea Screening? Pro. Can J Cardiol 2015; 31:935-9. [PMID: 26112303 DOI: 10.1016/j.cjca.2015.04.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2014] [Revised: 04/21/2015] [Accepted: 04/21/2015] [Indexed: 10/23/2022] Open
Abstract
Sleep-disordered breathing (SDB) is highly prevalent in heart failure (HF) patients. These breathing disturbances are independent predictors of increased morbidity and comorbid conditions that improve with SDB treatment. Considering the overlap between SDB-related and HF clinical symptoms reported by patients, objective tests need to be conducted for a diagnosis to be firmly established and to determine the type and severity of SDB that will dictate treatment alternatives. Considering the high success rate and diagnostic value of ambulatory monitoring techniques, they represent a practical, cost-effective, and accurate alternative to diagnosing SDB in HF patients.
Collapse
Affiliation(s)
- Frédéric Sériès
- Unité de recherche en pneumologie, Centre de recherche, Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Québec, Canada.
| |
Collapse
|