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Cano A, Nappi RE, Santoro N, Stute P, Blogg M, English ML, Morga A, Scrine L, Siddiqui E, Ottery FD. Fezolinetant impact on health-related quality of life for vasomotor symptoms due to the menopause: Pooled data from SKYLIGHT 1 and SKYLIGHT 2 randomised controlled trials. BJOG 2024; 131:1296-1305. [PMID: 38320967 DOI: 10.1111/1471-0528.17773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 01/10/2024] [Accepted: 01/14/2024] [Indexed: 02/08/2024]
Abstract
OBJECTIVE To assess the effect of fezolinetant treatment on health-related quality of life using pooled data from SKYLIGHT 1 and 2 studies. DESIGN Prespecified pooled analysis. SETTING USA, Canada, Europe; 2019-2021. POPULATION 1022 women aged ≥40 to ≤65 years with moderate-to-severe vasomotor symptoms (VMS; minimum average seven hot flushes/day), seeking treatment for VMS. METHODS Women were randomised to 12-week double-blind treatment with once-daily placebo or fezolinetant 30 or 45 mg. Completers entered a 40-week, active extension (those receiving fezolinetant continued that dose; those receiving placebo re-randomised to fezolinetant received 30 or 45 mg). MAIN OUTCOME MEASURES Mean changes from baseline to weeks 4 and 12 on Menopause-Specific Quality of Life (MENQoL) total and domain scores, Work Productivity and Activity Impairment questionnaire specific to VMS (WPAI-VMS) domain scores, Patient Global Impression of Change in VMS (PGI-C VMS); percentages achieving PGI-C VMS of 'much better' (PGI-C VMS responders). Mean reduction was estimated using mixed model repeated measures analysis of covariance. RESULTS Fezolinetant 45 mg mean reduction over placebo in MENQoL total score was -0.57 (95% confidence interval [CI] -0.75 to -0.39) at week 4 and -0.47 (95% CI -0.66 to -0.28) at week 12. Reductions were similar for 30 mg. MENQoL domain scores were also reduced and WPAI-VMS scores improved. Twice as many women receiving fezolinetant reported VMS were 'much better' than placebo based on PGI-C VMS assessment. CONCLUSIONS Fezolinetant treatment was associated with improvement in overall QoL, measured by MENQoL, and work productivity, measured by WPAI-VMS. A high proportion receiving fezolinetant felt VMS were 'much better' based on PGI-C VMS responder analysis.
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Affiliation(s)
- Antonio Cano
- Department of Paediatrics, Obstetrics and Gynaecology, INCLIVA, University of Valencia, Valencia, Spain
| | - Rossella E Nappi
- Department of Clinical, Surgical, Diagnostic and Paediatric Sciences, University of Pavia, Pavia, Italy
- Research Centre for Reproductive Medicine and Gynaecological Endocrinology - Menopause Unit, Fondazione Policlinico IRCCS S. Matteo, Pavia, Italy
| | - Nanette Santoro
- University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Petra Stute
- Department of Obstetrics and Gynaecology, Inselspital, Bern, Switzerland
| | | | - Marci L English
- Astellas Pharma Global Development, Northbrook, Illinois, USA
| | | | | | | | - Faith D Ottery
- Astellas Pharma Global Development, Northbrook, Illinois, USA
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Frija J, Mullaert J, Abensur Vuillaume L, Grajoszex M, Wanono R, Benzaquen H, Kerzabi F, Geoffroy PA, Matrot B, Trioux T, Penzel T, d'Ortho MP. Metrology of two wearable sleep trackers against polysomnography in patients with sleep complaints. J Sleep Res 2024:e14235. [PMID: 38873908 DOI: 10.1111/jsr.14235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 04/25/2024] [Accepted: 04/29/2024] [Indexed: 06/15/2024]
Abstract
Sleep trackers are used widely by patients with sleep complaints, however their metrological validation is often poor and relies on healthy subjects. We assessed the metrological validity of two commercially available sleep trackers (Withings Activité/Fitbit Alta HR) through a prospective observational monocentric study, in adult patients referred for polysomnography (PSG). We compared the total sleep time (TST), REM time, REM latency, nonREM1 + 2 time, nonREM3 time, and wake after sleep onset (WASO). We report absolute and relative errors, Bland-Altman representations, and a contingency table of times spent in sleep stages with respect to PSG. Sixty-five patients were included (final sample size 58 for Withings and 52 for Fitbit). Both devices gave a relatively accurate sleep start time with a median absolute error of 5 (IQR -43; 27) min for Withings and -2.0 (-12.5; 4.2) min for Fitbit but both overestimated TST. Withings tended to underestimate WASO with a median absolute error of -25.0 (-61.5; -8.5) min, while Fitbit tended to overestimate it (median absolute error 10 (-18; 43) min. Withings underestimated light sleep and overestimated deep sleep, while Fitbit overestimated light and REM sleep and underestimated deep sleep. The overall kappas for concordance of each epoch between PSG and devices were low: 0.12 (95%CI 0.117-0.121) for Withings and VPSG indications 0.07 (95%CI 0.067-0.071) for Fitbit, as well as kappas for each VPSG indication 0.07 (95%CI 0.067-0.071). Thus, commercially available sleep trackers are not reliable for sleep architecture in patients with sleep complaints/pathologies and should not replace actigraphy and/or PSG.
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Affiliation(s)
- Justine Frija
- Explorations Fonctionnelles et Centre du Sommeil- Département de Physiologie Clinique, APHP, Hôpital Bichat, Paris, France
- Université de Paris, NeuroDiderot, Inserm U1141, Paris, France
- Département de psychiatrie et d'addictologie, GHU Paris Nord, DMU Neurosciences, APHP, Hôpital Bichat Claude Bernard, Paris, France
| | - Jimmy Mullaert
- AP-HP, Hôpital Bichat, DEBRC, Paris, France
- Université de Paris, IAME, INSERM, Paris, France
| | | | - Mathieu Grajoszex
- Explorations Fonctionnelles et Centre du Sommeil- Département de Physiologie Clinique, APHP, Hôpital Bichat, Paris, France
- Digital Medical Hub SAS, Assistance Publique Hôpitaux de Paris AP-HP, Hotel Dieu, Place du Parvis Notre Dame, Paris, France
| | - Ruben Wanono
- Explorations Fonctionnelles et Centre du Sommeil- Département de Physiologie Clinique, APHP, Hôpital Bichat, Paris, France
| | - Hélène Benzaquen
- Explorations Fonctionnelles et Centre du Sommeil- Département de Physiologie Clinique, APHP, Hôpital Bichat, Paris, France
| | - Fedja Kerzabi
- Explorations Fonctionnelles et Centre du Sommeil- Département de Physiologie Clinique, APHP, Hôpital Bichat, Paris, France
| | - Pierre Alexis Geoffroy
- Université de Paris, NeuroDiderot, Inserm U1141, Paris, France
- Département de psychiatrie et d'addictologie, GHU Paris Nord, DMU Neurosciences, APHP, Hôpital Bichat Claude Bernard, Paris, France
| | - Boris Matrot
- Université de Paris, NeuroDiderot, Inserm U1141, Paris, France
| | | | - Thomas Penzel
- Interdisciplinary Sleep Medicine Center, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Marie-Pia d'Ortho
- Explorations Fonctionnelles et Centre du Sommeil- Département de Physiologie Clinique, APHP, Hôpital Bichat, Paris, France
- Université de Paris, NeuroDiderot, Inserm U1141, Paris, France
- Digital Medical Hub SAS, Assistance Publique Hôpitaux de Paris AP-HP, Hotel Dieu, Place du Parvis Notre Dame, Paris, France
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Birrer V, Elgendi M, Lambercy O, Menon C. Evaluating reliability in wearable devices for sleep staging. NPJ Digit Med 2024; 7:74. [PMID: 38499793 PMCID: PMC10948771 DOI: 10.1038/s41746-024-01016-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 01/18/2024] [Indexed: 03/20/2024] Open
Abstract
Sleep is crucial for physical and mental health, but traditional sleep quality assessment methods have limitations. This scoping review analyzes 35 articles from the past decade, evaluating 62 wearable setups with varying sensors, algorithms, and features. Our analysis indicates a trend towards combining accelerometer and photoplethysmography (PPG) data for out-of-lab sleep staging. Devices using only accelerometer data are effective for sleep/wake detection but fall short in identifying multiple sleep stages, unlike those incorporating PPG signals. To enhance the reliability of sleep staging wearables, we propose five recommendations: (1) Algorithm validation with equity, diversity, and inclusion considerations, (2) Comparative performance analysis of commercial algorithms across multiple sleep stages, (3) Exploration of feature impacts on algorithm accuracy, (4) Consistent reporting of performance metrics for objective reliability assessment, and (5) Encouragement of open-source classifier and data availability. Implementing these recommendations can improve the accuracy and reliability of sleep staging algorithms in wearables, solidifying their value in research and clinical settings.
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Affiliation(s)
- Vera Birrer
- Biomedical and Mobile Health Technology Laboratory, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland
| | - Mohamed Elgendi
- Biomedical and Mobile Health Technology Laboratory, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
| | - Olivier Lambercy
- Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Carlo Menon
- Biomedical and Mobile Health Technology Laboratory, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
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Svensson T, Madhawa K, Nt H, Chung UI, Svensson AK. Validity and reliability of the Oura Ring Generation 3 (Gen3) with Oura sleep staging algorithm 2.0 (OSSA 2.0) when compared to multi-night ambulatory polysomnography: A validation study of 96 participants and 421,045 epochs. Sleep Med 2024; 115:251-263. [PMID: 38382312 DOI: 10.1016/j.sleep.2024.01.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 01/16/2024] [Accepted: 01/18/2024] [Indexed: 02/23/2024]
Abstract
PURPOSE To evaluate the validity and the reliability of the Oura Ring Generation 3 (Gen3) with Oura Sleep Staging Algorithm 2.0 (OSSA 2.0) through multi-night polysomnography (PSG). PARTICIPANTS AND METHODS Participants were 96 generally healthy Japanese men and women aged between 20 and 70 years contributing with 421,045 30-s epochs. Sleep scoring was performed according to American Academy of Sleep Medicine criteria. Each participant could contribute with a maximum of three polysomnography (PSG) nights. Within-participant means were created for each sleep measure and paired t-tests were used to compare equivalent measures obtained from the PSG and Oura Rings (non-dominant and dominant hand). Agreement between sleep measures were assessed using Bland-Altman plots. Interrater reliability for epoch accuracy was determined by prevalence-adjusted and bias-adjusted kappa (PABAK). RESULTS The Oura Ring did not significantly differ from PSG for the measures time in bed, total sleep time, sleep onset latency, sleep period time, wake after sleep onset, time spent in light sleep, and time spent in deep sleep. Oura Rings worn on the non-dominant- and dominant-hand underestimated sleep efficiency by 1.1 %-1.5 % and time spent in REM sleep by 4.1-5.6 min. The Oura Ring had a sensitivity of 94.4 %-94.5 %, specificity of 73.0 %-74.6 %, a predictive value for sleep of 95.9 %-96.1 %, a predictive value for wake of 66.6 %-67.0 %, and accuracy of 91.7 %-91.8 %. PABAK was 0.83-0.84 and reliability was 94.8 %. Sleep staging accuracy ranged between 75.5 % (light sleep) and 90.6 % (REM sleep). CONCLUSIONS The Oura Ring Gen3 with OSSA 2.0 shows good agreement with PSG for global sleep measures and time spent in light and deep sleep.
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Affiliation(s)
- Thomas Svensson
- Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan; Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki-ku, Kawasaki-shi, Kanagawa, Japan; Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden.
| | - Kaushalya Madhawa
- Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
| | - Hoang Nt
- Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
| | - Ung-Il Chung
- Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan; Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki-ku, Kawasaki-shi, Kanagawa, Japan; Clinical Biotechnology, Center for Disease Biology and Integrative Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Akiko Kishi Svensson
- Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan; Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden; Department of Diabetes and Metabolic Diseases, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
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Leiner J, König S, Mouratis K, Kim I, Schmitz P, Joshi T, Schanner C, Wohlrab L, Hohenstein S, Pellissier V, Nitsche A, Kuhlen R, Hindricks G, Bollmann A. A Digital Infrastructure for Cardiovascular Patient Care Based on Mobile Health Data and Patient-Reported Outcomes: Concept Details of the Helios TeleWear Project Including Preliminary Experiences. JMIR Form Res 2023; 7:e41115. [PMID: 36867450 PMCID: PMC10029859 DOI: 10.2196/41115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 12/02/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Mobile health (mHealth) approaches are already having a fundamental impact on clinical practice in cardiovascular medicine. A variety of different health apps and wearable devices for capturing health data such as electrocardiograms (ECGs) exist. However, most mHealth technologies focus on distinct variables without integrating patients' quality of life, and the impact on clinical outcome measures of implementing those digital solutions into cardiovascular health care is still to be determined. OBJECTIVE Within this document, we describe the TeleWear project, which was recently initiated as an approach for contemporary patient management integrating mobile-collected health data and the standardized mHealth-guided measurement of patient-reported outcomes (PROs) in patients with cardiovascular disease. METHODS The specifically designed mobile app and clinical frontend form the central elements of our TeleWear infrastructure. Because of its flexible framework, the platform allows far-reaching customization with the possibility to add different mHealth data sources and respective questionnaires (patient-reported outcome measures). RESULTS With initial focus on patients with cardiac arrhythmias, a feasibility study is currently carried out to assess wearable-recorded ECG and PRO transmission and its evaluation by physicians using the TeleWear app and clinical frontend. First experiences made during the feasibility study yielded positive results and confirmed the platform's functionality and usability. CONCLUSIONS TeleWear represents a unique mHealth approach comprising PRO and mHealth data capturing. With the currently running TeleWear feasibility study, we aim to test and further develop the platform in a real-world setting. A randomized controlled trial including patients with atrial fibrillation that investigates PRO- and ECG-based clinical management based on the established TeleWear infrastructure will evaluate its clinical benefits. Widening the spectrum of health data collection and interpretation beyond the ECG and use of the TeleWear infrastructure in different patient subcohorts with focus on cardiovascular diseases are further milestones of the project with the ultimate goal to establish a comprehensive telemedical center entrenched by mHealth.
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Affiliation(s)
- Johannes Leiner
- Department of Electrophysiology, Heart Center Leipzig, University of Leipzig, Leipzig, Germany
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Sebastian König
- Department of Electrophysiology, Heart Center Leipzig, University of Leipzig, Leipzig, Germany
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Konstantinos Mouratis
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Igor Kim
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Pia Schmitz
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Tanvi Joshi
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Carolin Schanner
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Lisa Wohlrab
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Sven Hohenstein
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Vincent Pellissier
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Anne Nitsche
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Ralf Kuhlen
- Helios Health GmbH, Berlin, Germany
- Helios Health Institute, Berlin, Germany
| | - Gerhard Hindricks
- Department of Electrophysiology, Heart Center Leipzig, University of Leipzig, Leipzig, Germany
| | - Andreas Bollmann
- Department of Electrophysiology, Heart Center Leipzig, University of Leipzig, Leipzig, Germany
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
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Technical, Regulatory, Economic, and Trust Issues Preventing Successful Integration of Sensors into the Mainstream Consumer Wearables Market. SENSORS 2022; 22:s22072731. [PMID: 35408345 PMCID: PMC9002880 DOI: 10.3390/s22072731] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 03/25/2022] [Accepted: 03/29/2022] [Indexed: 11/17/2022]
Abstract
Sensors that track physiological biomarkers of health must be successfully incorporated into a fieldable, wearable device if they are to revolutionize the management of remote patient care and preventative medicine. This perspective article discusses logistical considerations that may impede the process of adapting a body-worn laboratory sensor into a commercial-integrated health monitoring system with a focus on examples from sleep tracking technology.
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Imtiaz SA. A Systematic Review of Sensing Technologies for Wearable Sleep Staging. SENSORS (BASEL, SWITZERLAND) 2021; 21:1562. [PMID: 33668118 PMCID: PMC7956647 DOI: 10.3390/s21051562] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 02/13/2021] [Accepted: 02/20/2021] [Indexed: 12/15/2022]
Abstract
Designing wearable systems for sleep detection and staging is extremely challenging due to the numerous constraints associated with sensing, usability, accuracy, and regulatory requirements. Several researchers have explored the use of signals from a subset of sensors that are used in polysomnography (PSG), whereas others have demonstrated the feasibility of using alternative sensing modalities. In this paper, a systematic review of the different sensing modalities that have been used for wearable sleep staging is presented. Based on a review of 90 papers, 13 different sensing modalities are identified. Each sensing modality is explored to identify signals that can be obtained from it, the sleep stages that can be reliably identified, the classification accuracy of systems and methods using the sensing modality, as well as the usability constraints of the sensor in a wearable system. It concludes that the two most common sensing modalities in use are those based on electroencephalography (EEG) and photoplethysmography (PPG). EEG-based systems are the most accurate, with EEG being the only sensing modality capable of identifying all the stages of sleep. PPG-based systems are much simpler to use and better suited for wearable monitoring but are unable to identify all the sleep stages.
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Affiliation(s)
- Syed Anas Imtiaz
- Wearable Technologies Lab, Imperial College London, London SW7 2AZ, UK
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Point of care TECHNOLOGIES. Digit Health 2021. [DOI: 10.1016/b978-0-12-818914-6.00008-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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O'Mahony AM, Garvey JF, McNicholas WT. Technologic advances in the assessment and management of obstructive sleep apnoea beyond the apnoea-hypopnoea index: a narrative review. J Thorac Dis 2020; 12:5020-5038. [PMID: 33145074 PMCID: PMC7578472 DOI: 10.21037/jtd-sleep-2020-003] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Obstructive sleep apnoea (OSA) is a growing and serious worldwide health problem with significant health and socioeconomic consequences. Current diagnostic testing strategies are limited by cost, access to resources and over reliance on one measure, namely the apnoea-hypopnoea frequency per hour (AHI). Recent evidence supports moving away from the AHI as the principle measure of OSA severity towards a more personalised approach to OSA diagnosis and treatment that includes phenotypic and biological traits. Novel advances in technology include the use of signals such as heart rate variability (HRV), oximetry and peripheral arterial tonometry (PAT) as alternative or additional measures. Ubiquitous use of smartphones and developments in wearable technology have also led to increased availability of applications and devices to facilitate home screening of at-risk populations, although current evidence indicates relatively poor accuracy in comparison with the traditional gold standard polysomnography (PSG). In this review, we evaluate the current strategies for diagnosing OSA in the context of their limitations, potential physiological targets as alternatives to AHI and the role of novel technology in OSA. We also evaluate the current evidence for using newer technologies in OSA diagnosis, the physiological targets such as smartphone applications and wearable technology. Future developments in OSA diagnosis and assessment will likely focus increasingly on systemic effects of sleep disordered breathing (SDB) such as changes in nocturnal oxygen and blood pressure (BP); and may also include other factors such as circulating biomarkers. These developments will likely require a re-evaluation of the diagnostic and grading criteria for clinically significant OSA.
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Affiliation(s)
- Anne M O'Mahony
- School of Medicine, University College Dublin, Dublin, Ireland
| | - John F Garvey
- School of Medicine, University College Dublin, Dublin, Ireland
| | - Walter T McNicholas
- School of Medicine, University College Dublin, Dublin, Ireland.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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