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Pangerc A, Petek Šter M, Dolenc Grošelj L. Two-stage screening for obstructive sleep apnea in the primary practice setting. Sleep Breath 2024; 28:2531-2538. [PMID: 39256328 PMCID: PMC11567976 DOI: 10.1007/s11325-024-03142-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2024] [Revised: 06/29/2024] [Accepted: 08/14/2024] [Indexed: 09/12/2024]
Abstract
PURPOSE To evaluate the effectiveness of a two-stage screening model for obstructive sleep apnea (OSA) in primary care that combines the STOP-BANG questionnaire (SBQ) with an automated home sleep apnea test (HSAT). METHODS This cross-sectional study was conducted from August 2018 to August 2022 in four Slovenian primary care practices. It included 153 randomly selected patients aged 18 to 70 years who visited the practice for any reason. Participants completed the SBQ and underwent HSAT with type III polygraphy on the same night. The HSAT recordings were scored automatically and by an experienced, accredited somnologist. RESULTS There was a strong correlation between manual and automated HSAT scorings for the detection of OSA (Pearson's r = 0.93). Cohen's kappa was 0.80 for OSA (respiratory event index (REI) ≥ 5) and 0.77 for OSA severity categorization. The two-stage model demonstrated sensitivity of 64%, a specificity of 97.4%, a positive predictive value (PPV) of 96.0%, a negative predictive value (NPV) of 73.8% and an accuracy of 81.1% for any OSA (REI ≥ 5). For moderate to severe OSA (REI ≥ 15), the model showed 72.7% sensitivity, 96.7% specificity, 85.7% PPV, 92.8% NPV and 91.5% accuracy. CONCLUSIONS The two-stage model for OSA screening combining the SBQ and automated HSAT was shown to be effective in primary care, especially for moderate and severe OSA. This method provides a practical and efficient approach for the early detection of OSA.
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Affiliation(s)
- Andrej Pangerc
- Department of Family Medicine, Faculty of Medicine, University of Ljubljana, 1000, Ljubljana, Slovenia.
| | - Marija Petek Šter
- Department of Family Medicine, Faculty of Medicine, University of Ljubljana, 1000, Ljubljana, Slovenia
| | - Leja Dolenc Grošelj
- Institute of Clinical Neurophysiology, Division of Neurology, University Medical Centre Ljubljana, 1000, Ljubljana, Slovenia
- Department of Neurology, Faculty of Medicine, University of Ljubljana, 1000, Ljubljana, Slovenia
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2
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Feltner C, Wallace IF, Aymes S, Cook Middleton J, Hicks KL, Schwimmer M, Baker C, Balio CP, Moore D, Voisin CE, Jonas DE. Screening for Obstructive Sleep Apnea in Adults: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA 2022; 328:1951-1971. [PMID: 36378203 DOI: 10.1001/jama.2022.18357] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
IMPORTANCE Obstructive sleep apnea (OSA) is associated with adverse health outcomes. OBJECTIVE To review the evidence on screening for OSA in asymptomatic adults or those with unrecognized OSA symptoms to inform the US Preventive Services Task Force. DATA SOURCES PubMed/MEDLINE, Cochrane Library, Embase, and trial registries through August 23, 2021; surveillance through September 23, 2022. STUDY SELECTION English-language studies of screening test accuracy, randomized clinical trials (RCTs) of screening or treatment of OSA reporting health outcomes or harms, and systematic reviews of treatment reporting changes in blood pressure and apnea-hypopnea index (AHI) scores. DATA EXTRACTION AND SYNTHESIS Dual review of abstracts, full-text articles, and study quality. Meta-analysis of intervention trials. MAIN OUTCOMES AND MEASURES Test accuracy, excessive daytime sleepiness, sleep-related and general health-related quality of life (QOL), and harms. RESULTS Eighty-six studies were included (N = 11 051). No study directly compared screening with no screening. Screening accuracy of the Multivariable Apnea Prediction score followed by unattended home sleep testing for detecting severe OSA syndrome (AHI ≥30 and Epworth Sleepiness Scale [ESS] score >10) measured as the area under the curve in 2 studies (n = 702) was 0.80 (95% CI, 0.78 to 0.82) and 0.83 (95% CI, 0.77 to 0.90). Five studies assessing the accuracy of other screening tools were heterogeneous and results were inconsistent. Compared with inactive control, positive airway pressure was associated with a significant improvement in ESS score from baseline (pooled mean difference, -2.33 [95% CI, -2.75 to -1.90]; 47 trials; n = 7024), sleep-related QOL (standardized mean difference, 0.30 [95% CI, 0.19 to 0.42]; 17 trials; n = 3083), and general health-related QOL measured by the 36-Item Short Form Health Survey (SF-36) mental health component summary score change (pooled mean difference, 2.20 [95% CI, 0.95 to 3.44]; 15 trials; n = 2345) and SF-36 physical health component summary score change (pooled mean difference, 1.53 [95% CI, 0.29 to 2.77]; 13 trials; n = 2031). Use of mandibular advancement devices was also associated with a significantly larger ESS score change compared with controls (pooled mean difference, -1.67 [95% CI, 2.09 to -1.25]; 10 trials; n = 1540). Reporting of other health outcomes was sparse; no included trial found significant benefit associated with treatment on mortality, cardiovascular events, or motor vehicle crashes. In 3 systematic reviews, positive airway pressure was significantly associated with reduced blood pressure; however, the difference was relatively small (2-3 mm Hg). CONCLUSIONS AND RELEVANCE The accuracy and clinical utility of OSA screening tools that could be used in primary care settings were uncertain. Positive airway pressure and mandibular advancement devices reduced ESS score. Trials of positive airway pressure found modest improvement in sleep-related and general health-related QOL but have not established whether treatment reduces mortality or improves most other health outcomes.
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Affiliation(s)
- Cynthia Feltner
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center
- Department of Medicine, University of North Carolina at Chapel Hill
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill
| | - Ina F Wallace
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center
- RTI International, Research Triangle Park, North Carolina
| | - Shannon Aymes
- Department of Medicine, University of North Carolina at Chapel Hill
| | - Jennifer Cook Middleton
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill
| | - Kelli L Hicks
- Department of Otolaryngology-Head and Neck Surgery, University of North Carolina at Chapel Hill
| | - Manny Schwimmer
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center
- Department of Internal Medicine, The Ohio State University, Columbus
| | - Claire Baker
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill
| | - Casey P Balio
- Center for Rural Health Research, Department of Health Services Management and Policy, College of Public Health, East Tennessee State University, Johnson City
| | - Daniel Moore
- Department of Medicine, University of North Carolina at Chapel Hill
| | - Christiane E Voisin
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center
- Department of Internal Medicine, The Ohio State University, Columbus
| | - Daniel E Jonas
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center
- Department of Internal Medicine, The Ohio State University, Columbus
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3
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Yeh E, Wong E, Tsai CW, Gu W, Chen PL, Leung L, Wu IC, Strohl KP, Folz RJ, Yar W, Chiang AA. Detection of obstructive sleep apnea using Belun Sleep Platform wearable with neural network-based algorithm and its combined use with STOP-Bang questionnaire. PLoS One 2021; 16:e0258040. [PMID: 34634070 PMCID: PMC8504733 DOI: 10.1371/journal.pone.0258040] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 09/16/2021] [Indexed: 11/18/2022] Open
Abstract
Many wearables allow physiological data acquisition in sleep and enable clinicians to assess sleep outside of sleep labs. Belun Sleep Platform (BSP) is a novel neural network-based home sleep apnea testing system utilizing a wearable ring device to detect obstructive sleep apnea (OSA). The objective of the study is to assess the performance of BSP for the evaluation of OSA. Subjects who take heart rate-affecting medications and those with non-arrhythmic comorbidities were included in this cohort. Polysomnography (PSG) studies were performed simultaneously with the Belun Ring in individuals who were referred to the sleep lab for an overnight sleep study. The sleep studies were manually scored using the American Academy of Sleep Medicine Scoring Manual (version 2.4) with 4% desaturation hypopnea criteria. A total of 78 subjects were recruited. Of these, 45% had AHI < 5; 18% had AHI 5-15; 19% had AHI 15-30; 18% had AHI ≥ 30. The Belun apnea-hypopnea index (bAHI) correlated well with the PSG-AHI (r = 0.888, P < 0.001). The Belun total sleep time (bTST) and PSG-TST had a high correlation coefficient (r = 0.967, P < 0.001). The accuracy, sensitivity, specificity in categorizing AHI ≥ 15 were 0.808 [95% CI, 0.703-0.888], 0.931 [95% CI, 0.772-0.992], and 0.735 [95% CI, 0.589-0.850], respectively. The use of beta-blocker/calcium-receptor antagonist and the presence of comorbidities did not negatively affect the sensitivity and specificity of BSP in predicting OSA. A diagnostic algorithm combining STOP-Bang cutoff of 5 and bAHI cutoff of 15 events/h demonstrated an accuracy, sensitivity, specificity of 0.938 [95% CI, 0.828-0.987], 0.944 [95% CI, 0.727-0.999], and 0.933 [95% CI, 0.779-0.992], respectively, for the diagnosis of moderate to severe OSA. BSP is a promising testing tool for OSA assessment and can potentially be incorporated into clinical practices for the identification of OSA. Trial registration: ClinicalTrial.org NCT03997916 https://clinicaltrials.gov/ct2/show/NCT03997916?term=belun+ring&draw=2&rank=1.
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Affiliation(s)
- Eric Yeh
- Division of Pulmonary, Critical Care, and Sleep Medicine, University Hospitals Cleveland Medical Center and Department of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Eileen Wong
- Division of Pulmonary, Critical Care, and Sleep Medicine, University Hospitals Cleveland Medical Center and Department of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Chih-Wei Tsai
- Belun Technology Company Limited, Sha Tin, Hong Kong
| | - Wenbo Gu
- Belun Technology Company Limited, Sha Tin, Hong Kong
- Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | | | - Lydia Leung
- Belun Technology Company Limited, Sha Tin, Hong Kong
| | - I-Chen Wu
- Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Kingman P. Strohl
- Division of Pulmonary, Critical Care, and Sleep Medicine, University Hospitals Cleveland Medical Center and Department of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America
- Division of Sleep Medicine, Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio, United States of America
| | - Rodney J. Folz
- Division of Pulmonary, Critical Care, and Sleep Medicine, University Hospitals Cleveland Medical Center and Department of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Wail Yar
- Department of Family Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio United States of America
| | - Ambrose A. Chiang
- Division of Pulmonary, Critical Care, and Sleep Medicine, University Hospitals Cleveland Medical Center and Department of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America
- Division of Sleep Medicine, Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio, United States of America
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4
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Papini GB, Fonseca P, van Gilst MM, van Dijk JP, Pevernagie DAA, Bergmans JWM, Vullings R, Overeem S. Estimation of the apnea-hypopnea index in a heterogeneous sleep-disordered population using optimised cardiovascular features. Sci Rep 2019; 9:17448. [PMID: 31772228 PMCID: PMC6879766 DOI: 10.1038/s41598-019-53403-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Accepted: 10/31/2019] [Indexed: 11/22/2022] Open
Abstract
Obstructive sleep apnea (OSA) is a highly prevalent sleep disorder, which results in daytime symptoms, a reduced quality of life as well as long-term negative health consequences. OSA diagnosis and severity rating is typically based on the apnea-hypopnea index (AHI) retrieved from overnight poly(somno)graphy. However, polysomnography is costly, obtrusive and not suitable for long-term recordings. Here, we present a method for unobtrusive estimation of the AHI using ECG-based features to detect OSA-related events. Moreover, adding ECG-based sleep/wake scoring yields a fully automatic method for AHI-estimation. Importantly, our algorithm was developed and validated on a combination of clinical datasets, including datasets selectively including OSA-pathology but also a heterogeneous, “real-world” clinical sleep disordered population (262 participants in the validation set). The algorithm provides a good representation of the current gold standard AHI (0.72 correlation, estimation error of 0.56 ± 14.74 events/h), and can also be employed as a screening tool for a large range of OSA severities (ROC AUC ≥ 0.86, Cohen’s kappa ≥ 0.53 and precision ≥70%). The method compares favourably to other OSA monitoring strategies, showing the feasibility of cardiovascular-based surrogates for sleep monitoring to evolve into clinically usable tools.
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Affiliation(s)
- Gabriele B Papini
- Eindhoven University of Technology, Dept. of Electrical Engineering, Eindhoven, 5612 AZ, The Netherlands. .,Philips Research, High Tech Campus, Eindhoven, 5656 AE, The Netherlands. .,Sleep Medicine Centre Kempenhaeghe, Heeze, 5591 VE, The Netherlands.
| | - Pedro Fonseca
- Eindhoven University of Technology, Dept. of Electrical Engineering, Eindhoven, 5612 AZ, The Netherlands.,Philips Research, High Tech Campus, Eindhoven, 5656 AE, The Netherlands
| | - Merel M van Gilst
- Eindhoven University of Technology, Dept. of Electrical Engineering, Eindhoven, 5612 AZ, The Netherlands.,Sleep Medicine Centre Kempenhaeghe, Heeze, 5591 VE, The Netherlands
| | - Johannes P van Dijk
- Eindhoven University of Technology, Dept. of Electrical Engineering, Eindhoven, 5612 AZ, The Netherlands.,Sleep Medicine Centre Kempenhaeghe, Heeze, 5591 VE, The Netherlands
| | | | - Jan W M Bergmans
- Eindhoven University of Technology, Dept. of Electrical Engineering, Eindhoven, 5612 AZ, The Netherlands.,Philips Research, High Tech Campus, Eindhoven, 5656 AE, The Netherlands
| | - Rik Vullings
- Eindhoven University of Technology, Dept. of Electrical Engineering, Eindhoven, 5612 AZ, The Netherlands
| | - Sebastiaan Overeem
- Eindhoven University of Technology, Dept. of Electrical Engineering, Eindhoven, 5612 AZ, The Netherlands.,Sleep Medicine Centre Kempenhaeghe, Heeze, 5591 VE, The Netherlands
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5
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Izci-Balserak B, Zhu B, Gurubhagavatula I, Keenan BT, Pien GW. A Screening Algorithm for Obstructive Sleep Apnea in Pregnancy. Ann Am Thorac Soc 2019; 16:1286-1294. [PMID: 31162952 PMCID: PMC6812170 DOI: 10.1513/annalsats.201902-131oc] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Accepted: 06/04/2019] [Indexed: 01/15/2023] Open
Abstract
Rationale: Obstructive sleep apnea (OSA) is common in pregnancy and associated with maternal and fetal complications. Early detection of OSA may have important implications for maternal-fetal well-being. A screening tool combining several methods of assessment may better predict OSA among pregnant women compared with tools that rely solely on self-reported information.Objectives: To develop a screening tool combining subjective and objective measures to predict OSA in pregnant women.Methods: This study is a secondary analysis using data collected from a completed cohort of pregnant women (n = 121 during the first and n = 87 during the third trimester). Participants underwent full polysomnography and completed the Multivariable Apnea Prediction Questionnaire. The Obstructive Sleep Apnea/Hypopnea Syndrome Score and Facco apnea predictive model were obtained. Logistic regression analysis and area under the curve (AUC) were used to identify models predicting OSA risk.Results: Participants' mean age was 27.4 ± 7.0 years. The prevalence of OSA during the first and third trimester was 10.7% and 24.1%, respectively. The final model predicting OSA risk consisted of body mass index, age, and presence of tongue enlargement. During the first trimester, the AUC was 0.86 (95% confidence interval [CI], 0.76-0.96). During the third trimester, the AUC was 0.87 (95% CI, 0.77-0.96). When the first-trimester data were used to predict third-trimester OSA risk, the AUC was 0.87 (95% CI, 0.77-0.97). This model had high sensitivity and specificity when used during both trimesters. The negative posttest probabilities (probability of OSA given a negative test result) ranged from 0.03 to 0.07.Conclusions: A new model consisting of body mass index, age, and presence of tongue enlargement provided accurate screening of OSA in pregnant women, particularly African-Americans. This tool can be easily and rapidly administered in busy clinical practices without depending on patients' awareness of experiencing apnea symptoms.
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Affiliation(s)
- Bilgay Izci-Balserak
- Department of Biobehavioral Health Sciences, College of Nursing, University of Illinois at Chicago, Chicago, Illinois
| | - Bingqian Zhu
- Department of Biobehavioral Health Sciences, College of Nursing, University of Illinois at Chicago, Chicago, Illinois
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Indira Gurubhagavatula
- Center for Sleep and Circadian Neurobiology and
- Division of Sleep Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and
| | | | - Grace W. Pien
- School of Medicine, John Hopkins University, Baltimore, Maryland
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6
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Lyons MM, Kraemer JF, Dhingra R, Keenan BT, Wessel N, Glos M, Penzel T, Gurubhagavatula I. Screening for Obstructive Sleep Apnea in Commercial Drivers Using EKG-Derived Respiratory Power Index. J Clin Sleep Med 2019; 15:23-32. [PMID: 30621825 DOI: 10.5664/jcsm.7562] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 08/17/2018] [Indexed: 11/13/2022]
Abstract
STUDY OBJECTIVES Obstructive sleep apnea (OSA) is common in commercial motor vehicle operators (CMVOs); however, polysomnography (PSG), the gold-standard diagnostic test, is expensive and inconvenient for screening. OSA is associated with changes in heart rate and voltage on electrocardiography (EKG). We evaluated the utility of EKG parameters in identifying CMVOs at greater risk for sleepiness-related crashes (apnea-hypopnea index [AHI] ≥ 30 events/h). METHODS In this prospective study of CMVOs, we performed EKGs with concurrent PSG, and calculated the respiratory power index (RPI) on EKG, a surrogate for AHI calculated from PSG. We evaluated the utility of two-stage predictive models using simple clinical measures (age, body mass index [BMI], neck circumference, Epworth Sleepiness Scale score, and the Multi-Variable Apnea Prediction [MVAP] score) in the first stage, followed by RPI in a subset as the second-stage. We assessed area under the receiver operating characteristic curve (AUC), sensitivity, and negative posttest probability (NPTP) for this two-stage approach and for RPI alone. RESULTS The best-performing model used the MVAP, which combines BMI, age, and sex with three OSA symptoms, in the first stage, followed by RPI in the second. The model yielded an estimated (95% confidence interval) AUC of 0.883 (0.767-0.924), sensitivity of 0.917 (0.706-0.962), and NPTP of 0.034 (0.015-0.133). Predictive characteristics were similar using a model with only BMI as the first-stage screen. CONCLUSIONS A two-stage model that combines BMI or the MVAP score in the first stage, with EKG in the second, had robust discriminatory power to identify severe OSA in CMVOs.
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Affiliation(s)
- M Melani Lyons
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jan F Kraemer
- Department of Physics, Humboldt-Universitat zu Berlin, Berlin, Germany
| | - Radha Dhingra
- Mahatma Gandhi Medical College and Hospital, Jaipur, India
| | - Brendan T Keenan
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Niels Wessel
- Department of Physics, Humboldt-Universitat zu Berlin, Berlin, Germany
| | - Martin Glos
- The Centre of Sleep Medicine, Department of Cardiology, Charité Universitätsmedizin, Berlin, Berlin, Germany
| | - Thomas Penzel
- The Centre of Sleep Medicine, Department of Cardiology, Charité Universitätsmedizin, Berlin, Berlin, Germany
| | - Indira Gurubhagavatula
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.,Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.,Sleep Disorders Clinic at the Philadelphia CMC VA Medical Center, Philadelphia, Pennsylvania
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7
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Solbach S, Uehli K, Strobel W, Brighenti-Zogg S, Dürr S, Maier S, Hug M, Bingisser R, Leuppi JD, Miedinger D. Obstructive sleep apnea syndrome and sleep disorders in individuals with occupational injuries. SLEEP SCIENCE AND PRACTICE 2018. [DOI: 10.1186/s41606-018-0026-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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8
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Yang H, Watach A, Varrasse M, King TS, Sawyer AM. Clinical Trial Enrollment Enrichment in Resource-Constrained Research Environments: Multivariable Apnea Prediction (MAP) Index in SCIP-PA Trial. J Clin Sleep Med 2018; 14:173-181. [PMID: 29246264 DOI: 10.5664/jcsm.6926] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2017] [Accepted: 10/10/2017] [Indexed: 11/13/2022]
Abstract
STUDY OBJECTIVES Determine the Multivariable Apnea Prediction (MAP) index predictive utility for enrollment enrichment in a clinical trial wherein enrollment was prior to obstructive sleep apnea diagnosis. METHODS Secondary analysis of screening data (n = 264) from randomized, double-blind, pilot trial. Clinical sleep center patients with complete screening and polysomnography data were included. To determine diagnostic test accuracy of the MAP index using apnea-hypopnea index criterion ≥ 10 events/h (primary) and ≥ 5, ≥ 15, and ≥ 30 events/h (secondary), sensitivity, specificity, negative and positive predictive values, likelihood positive and negative ratios, and receiver operating characteristic curves were calculated. Predictive utility was examined by characteristic variables. RESULTS Middle-aged, overweight or obese, men and women were included. Employing a MAP index threshold ≥ 0.5, sensitivity for obstructive sleep apnea (apnea-hypopnea index ≥ 10 events/h) was 83.6%; specificity was 46.4%; area under the curve = 0.74. Sensitivity was higher in males than females (95.3%, 68.7%, respectively); specificity was lower in males than females (30.4%, 57.6%, respectively) with similar area under the curve (0.74 versus 0.72, respectively). MAP accuracy was higher in younger versus older adults (younger than 50 years, or 50 years or older; area under the curve 0.82 versus 0.63, respectively). Varied apnea-hypopnea index criteria produced stable accuracy estimates. CONCLUSIONS Recruitment/enrollment is a high-cost endeavor. Screening procedures may confer resource savings but careful evaluation prior to study implementation assures effectiveness and efficiency. CLINICAL TRIAL REGISTRATION The secondary analysis reports data from the SCIP-PA Trial (NCT 01454830); study information available at: https://clinicaltrials.gov.
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Affiliation(s)
- Hyunju Yang
- Penn State University College of Nursing, University Park, Pennsylvania
| | - Alexa Watach
- Penn State University College of Nursing, University Park, Pennsylvania.,University of Pennsylvania Perelman School of Medicine, Center for Sleep & Circadian Neurobiology, Philadelphia, Pennsylvania
| | - Miranda Varrasse
- University of Pennsylvania Perelman School of Medicine, Center for Sleep & Circadian Neurobiology, Philadelphia, Pennsylvania.,University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania
| | - Tonya S King
- Penn State University College of Medicine, Department of Public Health Sciences, Hershey, Pennsylvania
| | - Amy M Sawyer
- Penn State University College of Nursing, University Park, Pennsylvania.,University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania
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9
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Lyons MM, Keenan BT, Li J, Khan T, Elkassabany N, Walsh CM, Williams NN, Pack AI, Gurubhagavatula I. Symptomless Multi-Variable Apnea Prediction Index Assesses Obstructive Sleep Apnea Risk and Adverse Outcomes in Elective Surgery. Sleep 2017; 40:2845959. [PMID: 28364424 DOI: 10.1093/sleep/zsw081] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Study Objective To validate that the symptomless Multi-Variable Apnea Prediction index (sMVAP) is associated with Obstructive Sleep Apnea (OSA) diagnosis and assess the relationship between sMVAP and adverse outcomes in patients having elective surgery. We also compare associations between Bariatric surgery, where preoperative screening for OSA risk is mandatory, and non-Bariatric surgery groups who are not screened routinely for OSA. Methods Using data from 40 432 elective inpatient surgeries, we used logistic regression to determine the relationship between sMVAP and previous OSA, current hypertension, and postoperative complications: extended length of stay (ELOS), intensive-care-unit-stay (ICU-stay), and respiratory complications (pulmonary embolism, acute respiratory distress syndrome, and/or aspiration pneumonia). Results Higher sMVAP was associated with increased likelihood of previous OSA, hypertension and all postoperative complications (p < .0001). The top sMVAP quintile had increased odds of postoperative complications compared to the bottom quintile. For ELOS, ICU-stay, and respiratory complications, respective odds ratios (95% CI) were: 1.83 (1.62, 2.07), 1.44 (1.32, 1.58), and 1.85 (1.37, 2.49). Compared against age-, gender- and BMI-matched patients having Bariatric surgery, sMVAP was more strongly associated with postoperative complications in non-Bariatric surgical groups, including: (1) ELOS (Orthopedics [p < .0001], Gastrointestinal [p = .024], Neurosurgery [p = .016], Spine [p = .016]); (2) ICU-stay (Orthopedics [p = .0004], Gastrointestinal [p < .0001], and Otorhinolaryngology [p = .0102]); and (3) respiratory complications (Orthopedics [p =.037] and Otorhinolaryngology [p =.011]). Conclusions OSA risk measured by sMVAP correlates with higher risk for select postoperative complications. Associations are stronger for non-Bariatric surgeries, where preoperative screening for OSA is not routinely performed. Thus, preoperative screening may reduce OSA-related risk for adverse postoperative outcomes.
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Affiliation(s)
- M Melanie Lyons
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania,Philadelphia, PA
| | - Brendan T Keenan
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania,Philadelphia, PA
| | - Junxin Li
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania,Philadelphia, PA
| | - Tanya Khan
- Perelman School of Medicine, University of Pennsylvania,Philadelphia, PA
| | - Nabil Elkassabany
- Section of Orthopedic Anesthesiology, Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania,Philadelphia, PA
| | - Colleen M Walsh
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania,Philadelphia, PA
| | - Noel N Williams
- Penn Metabolic and Bariatric Surgery Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,William T. Fitts Surgery Education Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Allan I Pack
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,Division of Sleep Medicine, University of Pennsylvania, Philadelphia, PA.,Global Sleep Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Indira Gurubhagavatula
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,Penn Occupational Sleep Medicine; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,CMC VA Medical Center, Philadelphia, PA
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Escobar-Córdoba F, Eslava-Schmalbach J. Evaluación del síndrome de apnea-hipopnea obstructiva del sueño (SAHOS) mediante instrumentos de medición como escalas y fórmulas matemáticas. REVISTA DE LA FACULTAD DE MEDICINA 2017. [DOI: 10.15446/revfacmed.v65n1sup.59561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
La psicometría del síndrome de apnea-hipopnea obstructiva del sueño (SAHOS) se puede proporcionar con el uso de variados métodos de evaluación como entrevistas clínicas, escalas, cuestionarios de sueño, autoregistros y registros psicofisiológicos. La prueba de oro para el diagnóstico de esta enfermedad sigue siendo la polisomnografía, la cual puede llegar a tener altos costos y dificultades para acceder al estudio. Debido a la alta morbimortalidad asociada a este síndrome, se requieren instrumentos que permitan la identificación rápida de individuos que puedan estar en riesgo de padecerlo. Por tales motivos, se han desarrollado herramientas que permiten detectar los pacientes en riesgo de presentar SAHOS, tales como el Cuestionario de Berlín, el STOP-Bang y la Escala de Somnolencia de Epworth. Es importante tener en cuenta los alcances y limitaciones de estas herramientas para escoger el instrumento indicado según lo que se desee evaluar.
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de Los Reyes VS, Jimeno CA, Tang VAS, Lusica PMM. Screening Programs for Obstructive Sleep Apnea. CURRENT PULMONOLOGY REPORTS 2017. [DOI: 10.1007/s13665-017-0170-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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12
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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).
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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
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13
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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).
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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
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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: 1741] [Impact Index Per Article: 217.6] [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).
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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
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15
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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).
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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
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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).
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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
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17
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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).
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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
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18
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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).
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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
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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: 0.9] [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.
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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
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Tumour necrosis factor-α/interleukin-10 ratio in patients with obstructive sleep apnoea hypopnoea syndrome. The Journal of Laryngology & Otology 2014; 129:73-8. [PMID: 25496519 DOI: 10.1017/s0022215114002990] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To explore the significance of the tumour necrosis factor-α/interleukin-10 ratio and the effect of continuous positive airway pressure in patients with different degrees of obstructive sleep apnoea hypopnoea syndrome severity. METHOD This study comprised 135 patients with obstructive sleep apnoea hypopnoea syndrome and 94 control subjects. RESULTS Tumour necrosis factor-α and tumour necrosis factor-α/interleukin-10 ratio values were significantly higher in the obstructive sleep apnoea hypopnoea syndrome group than in the control group, but interleukin-10 was significantly lower. Tumour necrosis factor-α/interleukin-10 ratio values increased in line with the severity of obstructive sleep apnoea hypopnoea syndrome. In multivariate analysis, the tumour necrosis factor-α/interleukin-10 ratio correlated positively with the apnoea-hypopnoea index and all indices of obstructive sleep apnoea hypopnoea syndrome, except for age, body mass index and neck circumference. After one month of continuous positive airway pressure therapy, levels of tumour necrosis factor-α decreased; interleukin-10 showed no change. CONCLUSION The results suggest that inflammation is activated and anti-inflammatory cytokines are decreased in obstructive sleep apnoea hypopnoea syndrome patients. Tumour necrosis factor-α/interleukin-10 ratio may prove useful for severity monitoring and management of obstructive sleep apnoea hypopnoea syndrome patients, and may reduce the need for polysomnography.
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Kawada T. Screening for obstructive sleep apnea syndrome in hypertensive outpatients: clinical characteristics of hypertension are important for their analysis. J Clin Hypertens (Greenwich) 2013; 15:856. [PMID: 24283600 DOI: 10.1111/jch.12183] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Tomoyuki Kawada
- Department of Hygiene and Public Health, Nippon Medical School, Tokyo, Japan
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