1
|
Ferreira-Santos D, Amorim P, Silva Martins T, Monteiro-Soares M, Pereira Rodrigues P. Helping early obstructive sleep apnea diagnosis with machine learning: A systematic review (Preprint). J Med Internet Res 2022; 24:e39452. [PMID: 36178720 PMCID: PMC9568812 DOI: 10.2196/39452] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 06/20/2022] [Accepted: 07/19/2022] [Indexed: 11/13/2022] Open
Abstract
Background American Academy of Sleep Medicine guidelines suggest that clinical prediction algorithms can be used to screen patients with obstructive sleep apnea (OSA) without replacing polysomnography, the gold standard. Objective We aimed to identify, gather, and analyze existing machine learning approaches that are being used for disease screening in adult patients with suspected OSA. Methods We searched the MEDLINE, Scopus, and ISI Web of Knowledge databases to evaluate the validity of different machine learning techniques, with polysomnography as the gold standard outcome measure and used the Prediction Model Risk of Bias Assessment Tool (Kleijnen Systematic Reviews Ltd) to assess risk of bias and applicability of each included study. Results Our search retrieved 5479 articles, of which 63 (1.15%) articles were included. We found 23 studies performing diagnostic model development alone, 26 with added internal validation, and 14 applying the clinical prediction algorithm to an independent sample (although not all reporting the most common discrimination metrics, sensitivity or specificity). Logistic regression was applied in 35 studies, linear regression in 16, support vector machine in 9, neural networks in 8, decision trees in 6, and Bayesian networks in 4. Random forest, discriminant analysis, classification and regression tree, and nomogram were each performed in 2 studies, whereas Pearson correlation, adaptive neuro-fuzzy inference system, artificial immune recognition system, genetic algorithm, supersparse linear integer models, and k-nearest neighbors algorithm were each performed in 1 study. The best area under the receiver operating curve was 0.98 (0.96-0.99) for age, waist circumference, Epworth Somnolence Scale score, and oxygen saturation as predictors in a logistic regression. Conclusions Although high values were obtained, they still lacked external validation results in large cohorts and a standard OSA criteria definition. Trial Registration PROSPERO CRD42021221339; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=221339
Collapse
Affiliation(s)
- Daniela Ferreira-Santos
- Department of Community Medicine, Information and Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal
- Center for Health Technology and Services Research, Porto, Portugal
| | - Pedro Amorim
- Department of Community Medicine, Information and Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal
- Center for Health Technology and Services Research, Porto, Portugal
- Sleep and Non-Invasive Ventilation Unit, São João University Hospital, Porto, Portugal
| | | | - Matilde Monteiro-Soares
- Department of Community Medicine, Information and Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal
- Center for Health Technology and Services Research, Porto, Portugal
- Portuguese Red Cross Health School Lisbon, Lisbon, Portugal
| | - Pedro Pereira Rodrigues
- Department of Community Medicine, Information and Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal
- Center for Health Technology and Services Research, Porto, Portugal
| |
Collapse
|
2
|
Le Grande MR, Jackson AC, Beauchamp A, Kerr D, Driscoll A. Diagnostic accuracy and suitability of instruments that screen for obstructive sleep apnoea, insomnia and sleep quality in cardiac patients: a meta-analysis. Sleep Med 2021; 86:135-160. [PMID: 33674192 DOI: 10.1016/j.sleep.2021.02.021] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Revised: 01/29/2021] [Accepted: 02/08/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND A number of clinical guidelines recommend that all cardiac rehabilitation patients should be screened for potential sleep disorders with a validated screening instrument. There is currently no consensus on what specific tools should be used. OBJECTIVE To identify tools that are practical to use in the clinical environment and have high diagnostic accuracy. METHODS We systematically searched online databases to identify patient reported outcome instruments that have been used in published research studies to assess the likelihood of obstructive sleep apnoea (OSA) in cardiac patients. In studies that provided diagnostic data, these data were extracted and verified via an evidence-based diagnostic calculator. Where sufficient numbers of studies were available, a meta-analysis was conducted to determine pooled estimates of specificity, sensitivity and diagnostic odds ratios. Selected papers were qualitatively assessed using the Standards for Reporting Diagnostic accuracy studies (STARD). RESULTS Of the 21 instruments identified, six detected likelihood of OSA, two assessed daytime sleepiness, five assessed insomnia and eight examined sleep quality. A meta-analysis of 14 studies that assessed diagnostic accuracy of moderate OSA, revealed moderate sensitivity for the Berlin Questionnaire, Sens = 0.49 (95% CI 0.45-0.52) and good sensitivity for the Stop-BANG, Sens = 0.93 (95% CI 0.87-0.96) but poor specificity at standard cut-off criteria. CONCLUSION There are promising practical tools available to screen patients with OSA and other sleep disorders in cardiac rehabilitation settings, but specificity could be improved. Additional assessment of sleep quality may enhance prognostic ability with both OSA and insomnia screening.
Collapse
Affiliation(s)
- Michael R Le Grande
- Australian Centre for Heart Health, 75 Chetwynd Street, North Melbourne, VIC, 3051, Australia; Faculty of Health, Deakin University, Burwood, VIC, 3216, Australia; Melbourne Centre for Behaviour Change, School of Psychological Sciences, The University of Melbourne, Parkville, VIC, 3052, Australia.
| | - Alun C Jackson
- Australian Centre for Heart Health, 75 Chetwynd Street, North Melbourne, VIC, 3051, Australia; Faculty of Health, Deakin University, Burwood, VIC, 3216, Australia; Centre on Behavioural Health, Hong Kong University, Pakfulam, Hong Kong
| | - Alison Beauchamp
- Australian Centre for Heart Health, 75 Chetwynd Street, North Melbourne, VIC, 3051, Australia; Department of Medicine - Western Health, The University of Melbourne, VIC, 3052, Australia; Australian Institute for Musculoskeletal Science (AIMSS), St. Albans, VIC, 3021, Australia; School of Rural Health, Monash University, Newborough, VIC, 3825, Australia
| | - Debra Kerr
- Faculty of Health, Deakin University, Burwood, VIC, 3216, Australia
| | - Andrea Driscoll
- Faculty of Health, Deakin University, Burwood, VIC, 3216, Australia; Centre for Quality and Patient Safety Research, School of Nursing and Midwifery, Deakin University, Geelong, VIC, 3220, Australia
| |
Collapse
|
3
|
Chakrabarti B, Lewis-Burke N, Pearson M, Craig S, Davies L, Sheridan K, England P, McKnight E, Angus R. Implementation of a computer-guided consultation in the assessment of suspected obstructive sleep apnoea syndrome. ERJ Open Res 2020; 6:00362-2019. [PMID: 32743003 PMCID: PMC7383049 DOI: 10.1183/23120541.00362-2019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 05/08/2020] [Indexed: 12/26/2022] Open
Abstract
Background We describe implementation of a clinical decision support system, a computer-guided consultation (CGC), in the assessment of subjects referred with suspected obstructive sleep apnoea syndrome (OSAS). Methods Two cohorts of patients were assessed. The first 100 cases had data collected with the CGC by a specialist sleep physician (stage1). A further 100 cases were assessed by a nonspecialist using the CGC (stage 2). For each case, the diagnosis suggested by the CGC was compared with the final diagnosis made by a second specialist sleep physician blinded to the CGC diagnosis. Results Stage 1: of 100 people evaluated, a final diagnosis of OSAS was made by both the sleep specialist and CGC in 88% of cases. In 7 of the remaining 12 cases, both agreed there was “No evidence of OSAS”; in 5 cases the CGC did not reach a final diagnosis instead prompting specialist referral. Stage 2: 100 people were evaluated; 95% were evaluable. Both CGC and the sleep specialist made a diagnosis of OSAS in 83 cases (87%), in 5 cases both agreed there was no OSAS, whereas in 7 cases the CGC prompted a specialist review due to unexplained symptoms. The CGC was concordant with the final diagnosis in 95% and 93% of cases in the two cohorts, respectively and where there was doubt, prompted for clinical review. No OSAS cases were overlooked by the CGC. Conclusion An intelligent CGC program creates opportunities in sleep medicine management pathways to safely yet effectively utilise nonspecialists working under specialist supervision. A clinical decision support system may be used safely to assess subjects with suspected obstructive sleep apnoea syndrome when used by specialists and nonspecialists alikehttps://bit.ly/2AFPD0r
Collapse
Affiliation(s)
| | | | - Mike Pearson
- Aintree Chest Centre, University Hospital Aintree, Liverpool, UK.,LungHealth Ltd, Swaffham, UK
| | - Sonya Craig
- Aintree Chest Centre, University Hospital Aintree, Liverpool, UK
| | - Lisa Davies
- Aintree Chest Centre, University Hospital Aintree, Liverpool, UK.,LungHealth Ltd, Swaffham, UK
| | - Kim Sheridan
- National Services for Health Improvement, Swaffham, UK
| | | | - Eddie McKnight
- LungHealth Ltd, Swaffham, UK.,National Services for Health Improvement, Swaffham, UK
| | - Robert Angus
- Aintree Chest Centre, University Hospital Aintree, Liverpool, UK.,LungHealth Ltd, Swaffham, UK
| |
Collapse
|
4
|
Ng SS, Tam W, Chan TO, To KW, Ngai J, Chan KKP, Yip WH, Lo RL, Yiu K, Ko FW, Hui DS. Use of Berlin questionnaire in comparison to polysomnography and home sleep study in patients with obstructive sleep apnea. Respir Res 2019; 20:40. [PMID: 30795760 PMCID: PMC6387538 DOI: 10.1186/s12931-019-1009-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Accepted: 02/18/2019] [Indexed: 01/16/2023] Open
Abstract
Background Obstructive sleep apnea syndrome (OSAS) is a common disorder with significant morbidity and mortality. We aimed to evaluate the predictive accuracy of the Berlin questionnaire in patients with suspected OSAS undergoing PSG in the sleep laboratory setting against those going through the Embletta™ portable diagnostic system (Embletta PDS) at home. Methods Patients with suspected OSAS were recruited from respiratory clinics to complete Berlin questionnaire and Epworth Sleepiness Score (ESS). Patients were randomized to undergo either home-based sleep test (group A) or hospital-based polysomnography (PSG) (group B). Results Three hundreds and sixteen subjects with newly referred suspected OSAS were recruited and randomized into group A (n = 157) and group B (n = 159). The prevalence of moderate to severe OSAS defined as apnea-hypopnea index (AHI) ≥ 15/h was 54%. The Berlin questionnaire identified 69.7% (n = 99) of subjects as high risk in group A and 77.5% (n = 100) in group B. The sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV) of the questionnaire to predict an AHI ≥ 15/h as diagnosed by PSG was 78, 23, 67 and 35%. When compared with Embletta PDS, the specificity and NPV increased to 48 and 63%. The area under the Receiver Operator Curve (ROC) based on PSG (AUC = 0.539, 95%CI 0.417, 0.661) and based on home Embletta (AUC = 0.712, 95%CI 0.617, 0.907). Conclusions The questionnaire was not reliable in predicting OSAS through PSG AHI whereas there was some predictive ability in discriminating patients with OSAS from normal subjects based on home Embletta sleep test. Trial registration The study was registered at ClinicalTrials.gov (Identifier: NCT01828216) on 10 April 2013.
Collapse
Affiliation(s)
- Susanna S Ng
- Division of Respiratory Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong.,SH Ho Sleep Apnoea Management Center, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - Wilson Tam
- Alice Lee Centre for Nursing Studises, National University of Singapore, Singapore, Singapore
| | - Tat-On Chan
- Division of Respiratory Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong.,SH Ho Sleep Apnoea Management Center, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - Kin-Wang To
- Division of Respiratory Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong.,SH Ho Sleep Apnoea Management Center, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - Jenny Ngai
- Division of Respiratory Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong.,SH Ho Sleep Apnoea Management Center, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - Ken K P Chan
- Division of Respiratory Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong.,SH Ho Sleep Apnoea Management Center, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - Wing-Ho Yip
- Division of Respiratory Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong.,SH Ho Sleep Apnoea Management Center, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - Rachel L Lo
- Division of Respiratory Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong.,SH Ho Sleep Apnoea Management Center, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - Karen Yiu
- Division of Respiratory Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong.,SH Ho Sleep Apnoea Management Center, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - Fanny W Ko
- Division of Respiratory Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong.,SH Ho Sleep Apnoea Management Center, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - David S Hui
- Division of Respiratory Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong. .,SH Ho Sleep Apnoea Management Center, The Chinese University of Hong Kong, Sha Tin, Hong Kong. .,Alice Lee Centre for Nursing Studises, National University of Singapore, Singapore, Singapore. .,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, 30-32 Ngan Shing St, Shatin, N.T, Hong Kong.
| |
Collapse
|
5
|
Yatsu S, Naito R, Kasai T, Matsumoto H, Shitara J, Shimizu M, Murata A, Kato T, Suda S, Hiki M, Sai E, Miyauchi K, Daida H. Influence of sleep-disordered breathing assessed by pulse oximetry on long-term clinical outcomes in patients who underwent percutaneous coronary intervention. Clin Res Cardiol 2018; 107:711-718. [PMID: 29605831 DOI: 10.1007/s00392-018-1238-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Accepted: 03/29/2018] [Indexed: 11/27/2022]
Abstract
BACKGROUND Sleep-disordered breathing (SDB) has been recognized as an important risk factor for coronary artery disease (CAD). However, SDB was not fully examined, because sleep studies are limited. Nocturnal pulse oximetry has been suggested to be a useful tool for evaluating SDB. Therefore, the aim of this study was to investigate the influence of SDB assessed by nocturnal pulse oximetry on clinical outcomes in patients who underwent percutaneous coronary intervention (PCI). METHODS We conducted a prospective, multicenter, observational cohort study, wherein SDB was assessed by finger pulse oximetry in patients who underwent PCI from January 2014 to December 2016. SDB was defined as 4% oxygen desaturation index of 5 and higher. The primary endpoint was major adverse cardiac or cerebrovascular event (MACCE), defined as a composite of all-cause mortality, acute coronary syndrome, and/or stroke. RESULTS Of 539 patients, 296 (54.9%) had SDB. MACCE occurred in 32 patients (5.8%) during a median follow-up of 1.9 years. The cumulative incidence of MACCE was significantly higher in patients with SDB (P = 0.0134). In the stepwise multivariable Cox proportional model, the presence of SDB was a significant predictor of MACCE (hazard ratio 2.26; 95% confidence interval 1.05-5.4, P = 0.036). CONCLUSIONS SDB determined by nocturnal pulse oximetry was associated with worse clinical outcomes in patients who underwent PCI. Screening for SDB with nocturnal pulse oximetry was considered to be important for risk stratification in patients with CAD.
Collapse
Affiliation(s)
- Shoichiro Yatsu
- Department of Cardiovascular Medicine, Juntendo University School of Medicine, Tokyo, Japan
- Department of Cardiovascular Medicine, Juntendo Tokyo Koto Geriatric Medical Center, Tokyo, Japan
| | - Ryo Naito
- Department of Cardiovascular Medicine, Juntendo University School of Medicine, Tokyo, Japan
| | - Takatoshi Kasai
- Department of Cardiovascular Medicine, Juntendo University School of Medicine, Tokyo, Japan.
- Cardiovascular Respiratory Sleep Medicine, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, Japan.
| | - Hiroki Matsumoto
- Department of Cardiovascular Medicine, Juntendo University School of Medicine, Tokyo, Japan
- Cardiovascular Respiratory Sleep Medicine, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Jun Shitara
- Department of Cardiovascular Medicine, Juntendo University School of Medicine, Tokyo, Japan
| | - Megumi Shimizu
- Department of Cardiovascular Medicine, Juntendo University School of Medicine, Tokyo, Japan
| | - Azusa Murata
- Department of Cardiovascular Medicine, Juntendo University School of Medicine, Tokyo, Japan
| | - Takao Kato
- Department of Cardiovascular Medicine, Juntendo University School of Medicine, Tokyo, Japan
| | - Shoko Suda
- Department of Cardiovascular Medicine, Juntendo University School of Medicine, Tokyo, Japan
- Cardiovascular Respiratory Sleep Medicine, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Masaru Hiki
- Department of Cardiovascular Medicine, Juntendo University School of Medicine, Tokyo, Japan
| | - Eiryu Sai
- Department of Cardiovascular Medicine, Juntendo University School of Medicine, Tokyo, Japan
- Department of Cardiovascular Medicine, Juntendo Tokyo Koto Geriatric Medical Center, Tokyo, Japan
| | - Katsumi Miyauchi
- Department of Cardiovascular Medicine, Juntendo University School of Medicine, Tokyo, Japan
- Department of Cardiovascular Medicine, Juntendo Tokyo Koto Geriatric Medical Center, Tokyo, Japan
| | - Hiroyuki Daida
- Department of Cardiovascular Medicine, Juntendo University School of Medicine, Tokyo, Japan
| |
Collapse
|
6
|
Validity of the Berlin questionnaire in detecting obstructive sleep apnea: A systematic review and meta-analysis. Sleep Med Rev 2017; 36:116-124. [PMID: 28599983 DOI: 10.1016/j.smrv.2017.04.001] [Citation(s) in RCA: 139] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Revised: 03/31/2017] [Accepted: 04/04/2017] [Indexed: 01/06/2023]
Abstract
We aimed to systematically review the Berlin questionnaire as a screening tool for obstructive sleep apnea. We systematically searched PubMed, Embase, and Scopus databases, reviewed articles reporting the Berlin questionnaire's diagnostic utility as measured against type-1 polysomnography, and performed meta-analyses where possible. Thirty five eligible articles showed that the Berlin questionnaire's diagnostic utility varied by study population, definition of hypopnea used, and apnea-hypopnea index threshold used. It had good sensitivity and specificity for detecting clinically relevant obstructive sleep apnea as well as any obstructive sleep apnea in the sleep clinic population. Despite limited evidence, it showed modest to high sensitivity for detecting clinically relevant obstructive sleep apnea or any obstructive sleep apnea in other clinical and general population subgroups. Its specificity was relatively low. Possible reasons for variability in reported diagnostic utility of the Berlin questionnaire are multifaceted. We conclude that the Berlin questionnaire is useful as a clinical screening test and epidemiological tool in the sleep clinic population. Despite limited evidence, it likely has potential clinical and research utility in other populations. Adopting more consistent methodological definitions and focussing more on the general population and specific clinical populations to determine its usefulness as a clinical or epidemiological screening tool are recommended.
Collapse
|
7
|
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
|
8
|
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
|
9
|
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: 1739] [Impact Index Per Article: 217.4] [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
|
10
|
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
|
11
|
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
|
12
|
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
|
13
|
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
|
14
|
Chiu HY, Chen PY, Chuang LP, Chen NH, Tu YK, Hsieh YJ, Wang YC, Guilleminault C. Diagnostic accuracy of the Berlin questionnaire, STOP-BANG, STOP, and Epworth sleepiness scale in detecting obstructive sleep apnea: A bivariate meta-analysis. Sleep Med Rev 2016; 36:57-70. [PMID: 27919588 DOI: 10.1016/j.smrv.2016.10.004] [Citation(s) in RCA: 385] [Impact Index Per Article: 42.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2016] [Revised: 10/17/2016] [Accepted: 10/24/2016] [Indexed: 11/24/2022]
Abstract
Obstructive sleep apnea (OSA) is a highly prevalent sleep disorder; however, it remains underdiagnosed and undertreated. Although screening tools such as the Berlin questionnaire (BQ), STOP-BANG questionnaire (SBQ), STOP questionnaire (STOP), and Epworth sleepiness scale (ESS) are widely used for OSA, the findings regarding their diagnostic accuracy are controversial. Therefore, this meta-analysis investigated and compared the summary sensitivity, specificity, and diagnostic odds ratio (DOR) among the BQ, SBQ, STOP, and ESS according to the severity of OSA. Electronic databases, namely the Embase, PubMed, PsycINFO, ProQuest dissertations and theses A&I databases, and China knowledge resource integrated database, were searched from their inception to July 15, 2016. We included studies examining the sensitivity and specificity of the BQ, SBQ, STOP, and ESS against the apnea-hypopnea index (AHI) or respiratory disturbance index (RDI). The revised quality assessment of diagnostic accuracy studies was used to evaluate the methodological quality of studies. A random-effects bivariate model was used to estimate the summary sensitivity, specificity, and DOR of the tools. We identified 108 studies including a total of 47 989 participants. The summary estimates were calculated for the BQ, SBQ, STOP, and ESS in detecting mild (AHI/RDI ≥ 5 events/h), moderate (AHI/RDI ≥ 15 events/h), and severe OSA (AHI/RDI ≥ 30 events/h). The performance levels of the BQ, SBQ, STOP, and ESS in detecting OSA of various severity levels are outlined as follows: for mild OSA, the pooled sensitivity levels were 76%, 88%, 87%, and 54%; pooled specificity levels were 59%, 42%, 42%, and 65%; and pooled DORs were 4.30, 5.13, 4.85, and 2.18, respectively. For moderate OSA, the pooled sensitivity levels were 77%, 90%, 89%, and 47%; pooled specificity levels were 44%, 36%, 32%, and 621%; and pooled DORs were 2.68, 5.05, 3.71, and 1.45, respectively. For severe OSA, the pooled sensitivity levels were 84%, 93%, 90%, and 58%; pooled specificity levels were 38%, 35%, 28%, and 60%; and pooled DORs were 3.10, 6.51, 3.37, and 2.10, respectively. Therefore, for mild, moderate, and severe OSA, the pooled sensitivity and DOR of the SBQ were significantly higher than those of other screening tools (P < .05); however, the specificity of the SBQ was lower than that of the ESS (P < .05). Moreover, age, sex, body mass index, study sample size, study populations, presence of comorbidities, PSG or portable monitoring performance, and risk of bias in the domains of the index test and reference standard were significant moderators of sensitivity and specificity (P < .05). Compared with the BQ, STOP, and ESS, the SBQ is a more accurate tool for detecting mild, moderate, and severe OSA. Sleep specialists should use the SBQ to conduct patient interviews for the early diagnosis of OSA in clinical settings, particularly in resource-poor countries and sleep clinics where PSG is unavailable.
Collapse
Affiliation(s)
- Hsiao-Yean Chiu
- School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.
| | - Pin-Yuan Chen
- Neurosurgical Department, Chang-Gung Memorial Hospital, Taoyuan, Taiwan; School of Medicine, Chang-Gung University, Taoyuan, Taiwan
| | - Li-Pang Chuang
- School of Medicine, Chang-Gung University, Taoyuan, Taiwan; Sleep Center, Department of Pulmonary and Critical Care Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Ning-Hung Chen
- Sleep Center, Department of Pulmonary and Critical Care Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Yu-Kang Tu
- Department of Public Health, Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Yu-Jung Hsieh
- Department of Nursing, National Taiwan University Hospital, Taipei, Taiwan
| | - Yu-Chi Wang
- Neurosurgical Department, Chang-Gung Memorial Hospital, Taoyuan, Taiwan
| | | |
Collapse
|
15
|
Gronda E, Brambilla G, Seravalle G, Maloberti A, Cairo M, Costantino G, Lovett E, Vanoli E, Mancia G, Grassi G. Effects of chronic carotid baroreceptor activation on arterial stiffness in severe heart failure. Clin Res Cardiol 2016; 105:838-846. [PMID: 27120329 DOI: 10.1007/s00392-016-0992-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2015] [Accepted: 04/22/2016] [Indexed: 11/30/2022]
Abstract
BACKGROUND Heart failure with reduced ejection fraction (HFrEF) is characterized by activation of the sympathetic nervous system and increased arterial stiffness, leading to an impaired ventricular-vascular coupling. Baroreflex activation therapy (BAT) has been shown to reduce muscle sympathetic nerve activity (MSNA) and improve clinical status of patients with HFrEF. The purpose of this investigation was to determine the effects of BAT on arterial stiffness in HFrEF. METHODS AND RESULTS MSNA, clinical variables, and parameters of central blood pressure (BP) and arterial stiffness were collected in 18 NYHA Class III HFrEF patients, nine receiving BAT and nine continuing with optimal medical management alone. Patients were followed for 3 months, with measurements at that time compared to baseline evaluation. Baseline characteristics of the groups were well matched. At 3 months, BAT did not improve central BP and arterial stiffness despite a significant amelioration of MSNA, NYHA class, Minnesota living with heart failure questionnaire score, number of heart failure medications and six-minute walking distance. The control group exhibited no significant changes in all the measured variables. CONCLUSIONS Despite significant reductions in MSNA and clinical improvement, BAT does not appear to chronically modify arterial stiffness within this HFrEF cohort. Additional study is required to determine if this result applies to the HFrEF population as a whole.
Collapse
Affiliation(s)
- Edoardo Gronda
- Cardiovascular Department, IRCCS Multimedica, Sesto San Giovanni, Milan, Italy
| | - GianMaria Brambilla
- Clinica Medica, University of Milano-Bicocca, Via Pergolesi 33, 20090, Monza, Italy
| | | | - Alessandro Maloberti
- Clinica Medica, University of Milano-Bicocca, Via Pergolesi 33, 20090, Monza, Italy
| | - Matteo Cairo
- Clinica Medica, University of Milano-Bicocca, Via Pergolesi 33, 20090, Monza, Italy
| | - Giuseppe Costantino
- Cardiovascular Department, IRCCS Multimedica, Sesto San Giovanni, Milan, Italy
| | | | - Emilio Vanoli
- Cardiovascular Department, IRCCS Multimedica, Sesto San Giovanni, Milan, Italy
| | | | - Guido Grassi
- Cardiovascular Department, IRCCS Multimedica, Sesto San Giovanni, Milan, Italy.
- Clinica Medica, University of Milano-Bicocca, Via Pergolesi 33, 20090, Monza, Italy.
| |
Collapse
|
16
|
Abstract
Clinical decision support systems are interactive software systems designed to help clinicians with decision-making tasks, such as determining a diagnosis or recommending a treatment for a patient. Clinical decision support systems are a widely researched topic in the computer science community, but their inner workings are less well understood by, and known to, clinicians. This article provides a brief explanation of clinical decision support systems and some examples of real-world systems. It also describes some of the challenges to implementing these systems in clinical environments and posits some reasons for the limited adoption of decision-support systems in practice. It aims to engage clinicians in the development of decision support systems that can meaningfully help with their decision-making tasks and to open a discussion about the future of automated clinical decision support as a part of healthcare delivery.
Collapse
Affiliation(s)
| | - Paolo Fraccaro
- Centre for Health Informatics, City University London, UK
| | - Ewart Carson
- Centre for Health Informatics, City University London, UK
| | - Peter Weller
- Centre for Health Informatics, City University London, UK
| |
Collapse
|
17
|
Seetho IW, Wilding JPH. Screening for obstructive sleep apnoea in obesity and diabetes--potential for future approaches. Eur J Clin Invest 2013; 43:640-55. [PMID: 23586795 DOI: 10.1111/eci.12083] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2013] [Accepted: 03/07/2013] [Indexed: 12/17/2022]
Abstract
BACKGROUND It is recognised that sleep-disordered breathing (SDB), in particular, obstructive sleep apnoea (OSA) is associated with obesity and diabetes. The complications of OSA include dysregulation of metabolic and cardiovascular homeostasis. With the growing population of diabetes and obesity globally, it is becoming apparent that identifying and screening patients who are at risk is becoming increasingly crucial. Many patients may remain unaware of the potential diagnosis and continue to be undiagnosed. The high prevalence of OSA poses a demanding challenge to healthcare providers in order to provide sufficient resources and facilities for patient diagnosis and treatment. DESIGN In this article, we review the evidence in favour of screening populations deemed to be at increased risk of OSA, with particular reference to patients with obesity and diabetes. We consider the recent advances in potential screening methods that may allow new prognostic and predictive tools to be developed. A detailed search of Medline and Web of Science electronic databases for relevant articles in English was performed. RESULTS Apart from the use of screening tools such as questionnaires and clinical decision models, there is increasing evidence to suggest that there are differences in biological parameters in patients with OSA. Although further studies are required, there may be potential for such biomarkers to contribute to and augment the screening process. However, the significance of such biological tools remains to be elucidated. CONCLUSIONS A fundamental role for improved screening in patients with conditions such as obesity and diabetes can enable early interventions that may improve health outcomes relating to the adverse consequences of OSA. The future will see further research being carried out in the development of potential screening methods with emphasis on the selection of patients at risk of sleep disorders, thereby allowing more detailed physiological studies to be carried out where needed.
Collapse
Affiliation(s)
- Ian W Seetho
- Department of Obesity & Endocrinology, University of Liverpool, Clinical Sciences Centre, University Hospital Aintree, Liverpool, UK.
| | | |
Collapse
|