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Neshat SS, Heidari A, Henriquez-Beltran M, Patel K, Colaco B, Arunthari V, Lee Mateus AY, Cheung J, Labarca G. Evaluating pharmacological treatments for excessive daytime sleepiness in obstructive sleep apnea: A comprehensive network meta-analysis and systematic review. Sleep Med Rev 2024; 76:101934. [PMID: 38754208 DOI: 10.1016/j.smrv.2024.101934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 03/10/2024] [Accepted: 04/02/2024] [Indexed: 05/18/2024]
Abstract
Obstructive sleep apnea (OSA) is associated with excessive daytime sleepiness (EDS). Pharmacotherapy offers a potential treatment approach for EDS in OSA patients. This systematic review and meta-analysis aimed to assess the efficacy and safety of pharmacological interventions for alleviating EDS in patients with OSA. Following PRISMA guidelines, we included randomized controlled trials investigating pharmacological treatments for EDS in adult OSA until August 2023. We conducted meta-analysis, subgroup, and meta-regression analyses using a random effects model. Finally, a network meta-analysis synthesized direct and indirect evidence, followed by a comprehensive safety analysis. We included 32 articles in the meta-analysis (n = 3357). Pharmacotherapy showed a significant improvement in the Epworth Sleepiness Scale (ESS) score (Mean Difference (MD) -2.73, (95 % Confidence Interval (CI) [-3.25, -2.20], p < 0.01) and Maintenance of Wakefulness Test (MWT) score (MD 6.00 (95 % CI [2.66, 9.33] p < 0.01). Solriamfetol, followed by Pitolisant and modafinil, exhibited the greatest ESS reduction, while Danavorexton, followed by Solriamfetol and MK-7288, had the strongest impact on MWT. MK-7288 had the most total adverse events (AEs), followed by Danavorexton and armodafinil. Pharmacological Interventions significantly alleviate EDS in OSA patients but with heterogeneity across medications. Treatment decisions should involve a personalized assessment of patient factors and desired outcomes.
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Affiliation(s)
- Seyed Sina Neshat
- Department of Epidemiology and Statistics, University of California, San Francisco, CA, USA; Division of Pulmonary, Allergy and Sleep Medicine, Mayo Clinic Jacksonville, Florida, USA
| | - Afshin Heidari
- School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mario Henriquez-Beltran
- Núcleo de Investigación en Ciencias de la Salud, Universidad Adventista de Chile, Chillán, Chile
| | - Kripa Patel
- Division of Pulmonary, Allergy and Sleep Medicine, Mayo Clinic Jacksonville, Florida, USA
| | - Brendon Colaco
- Division of Pulmonary, Allergy and Sleep Medicine, Mayo Clinic Jacksonville, Florida, USA
| | - Vichaya Arunthari
- Division of Pulmonary, Allergy and Sleep Medicine, Mayo Clinic Jacksonville, Florida, USA
| | | | - Joseph Cheung
- Division of Pulmonary, Allergy and Sleep Medicine, Mayo Clinic Jacksonville, Florida, USA
| | - Gonzalo Labarca
- Division of Pulmonary and Critical Care Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA; Department of Respiratory Diseases, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
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Martin VP, Gauld C, Taillard J, Peter-Derex L, Lopez R, Micoulaud-Franchi JA. Sleepiness should be reinvestigated through the lens of clinical neurophysiology: A mixed expertal and big-data Natural Language Processing approach. Neurophysiol Clin 2024; 54:102937. [PMID: 38401240 DOI: 10.1016/j.neucli.2023.102937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 12/14/2023] [Accepted: 12/15/2023] [Indexed: 02/26/2024] Open
Abstract
Historically, the field of sleep medicine has revolved around electrophysiological tools. However, the use of these tools as a neurophysiological method of investigation seems to be underrepresented today, from both international recommendations and sleep centers, in contrast to behavioral and psychometric tools. The aim of this article is to combine a data-driven approach and neurophysiological and sleep medicine expertise to confirm or refute the hypothesis that neurophysiology has declined in favor of behavioral or self-reported dimensions in sleep medicine for the investigation of sleepiness, despite the use of electrophysiological tools. Using Natural Language Processing methods, we analyzed the abstracts of the 18,370 articles indexed by PubMed containing the terms 'sleepiness' or 'sleepy' in the title, abstract, or keywords. For this purpose, we examined these abstracts using two methods: a lexical network, enabling the identification of concepts (neurophysiological or clinical) related to sleepiness in these articles and their interconnections; furthermore, we analyzed the temporal evolution of these concepts to extract historical trends. These results confirm the hypothesis that neurophysiology has declined in favor of behavioral or self-reported dimensions in sleep medicine for the investigation of sleepiness. In order to bring sleepiness measurements closer to brain functioning and to reintroduce neurophysiology into sleep medicine, we discuss two strategies: the first is reanalyzing electrophysiological signals collected during the standard sleep electrophysiological test; the second takes advantage of the current trend towards dimensional models of sleepiness to situate clinical neurophysiology at the heart of the redefinition of sleepiness.
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Affiliation(s)
- Vincent P Martin
- Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg; Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, F-33400 Talence, France; Univ. Bordeaux, CNRS, SANPSY, UMR 6033, F-33000 Bordeaux, France
| | - Christophe Gauld
- Service Psychopathologie du Développement de l'Enfant et de l'Adolescent, Hospices Civils de Lyon & Université de Lyon 1, France; Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS & Université Claude Bernard Lyon 1, France
| | - Jacques Taillard
- Univ. Bordeaux, CNRS, SANPSY, UMR 6033, F-33000 Bordeaux, France
| | - Laure Peter-Derex
- Lyon Neuroscience Research Centre, INSERM U1028, CNRS UMR 5292, Lyon, France; Centre for Sleep Medicine and Respiratory Diseases, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon 1 University, Lyon, France
| | - Régis Lopez
- National Reference Centre for Orphan Diseases, Narcolepsy-Rare hypersomnias, Sleep Unit, Department of Neurology, CHU de Montpellier, University of Montpellier, Montpellier, France; Institute for Neurosciences of Montpellier (INM), University of Montpellier, Inserm, Montpellier, France
| | - Jean-Arthur Micoulaud-Franchi
- Univ. Bordeaux, CNRS, SANPSY, UMR 6033, F-33000 Bordeaux, France; University Sleep Clinic, University Hospital of Bordeaux, Place Amélie Raba-Leon, 33 076 Bordeaux, France.
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Johnson T, Gurubhagavatula I. Assessment of Vigilance and Fatigue. Sleep Med Clin 2023; 18:349-359. [PMID: 37532374 DOI: 10.1016/j.jsmc.2023.05.007] [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: 08/04/2023]
Abstract
This article summarizes the definitions of vigilance, fatigue, and sleepiness, as well as tools used in their assessment. Consideration is given to the strengths and limitations of the different subjective and objective tools. Future directions for research are also discussed, as well as the public health importance of continued investigation in this subject.
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Affiliation(s)
- Tyler Johnson
- Division of Sleep Medicine, Perelman School of Medicine, University of Pennsylvania, 3624 Market Street, Suite 205, Philadelphia, PA 19104, USA.
| | - Indira Gurubhagavatula
- Division of Sleep Medicine, Perelman School of Medicine, University of Pennsylvania, 3624 Market Street, Suite 205, Philadelphia, PA 19104, USA; Crescenz VA Medical Center, Philadelphia, PA, USA.
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Kumagai H, Kawaguchi K, Sawatari H, Kiyohara Y, Hayashi M, Shiomi T. Dashcam video footage-based analysis of microsleep-related behaviors in truck collisions attributed to falling asleep at the wheel. ACCIDENT; ANALYSIS AND PREVENTION 2023; 187:107070. [PMID: 37060664 DOI: 10.1016/j.aap.2023.107070] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 03/23/2023] [Accepted: 04/05/2023] [Indexed: 05/12/2023]
Abstract
OBJECTIVE With the rapid spread of dashcams, many car accidents have been recorded; however, behavioral approaches using these dashcam video footage have not been sufficiently examined. We employed dashcam video footage to evaluate microsleep-related behaviors immediately prior to real-world truck collisions in professional drivers to explore a new solution to reduce collisions attributed to falling asleep at the wheel. METHODS In total, 3,120 s of video footage (60 s/case × 52 cases) from real-world truck collisions of 52 professional drivers obtained from interior and exterior dashcams were used and visually analyzed in a second-by-second manner to simultaneously evaluate any eye changes and microsleep-related behaviors (the driver's anti-sleepiness behavior, behavioral signs of microsleep, and abnormal vehicle behavior) during driving. RESULTS Assessment of the frequency of occurrence of each item of microsleep-related behavior in the 52 collisions revealed that the item "touching" in terms of anti-sleepiness behavior, "absence of body movement" in terms of behavioral signs of microsleep, and "inappropriate line crossing" in terms of abnormal vehicle behavior were observed at the highest rate in all drivers (46.2%, 75.0%, and 78.8%, respectively). Decreases in anti-sleepiness behavior coincided with increases in behavioral signs of microsleep and abnormal vehicle behavior, with collisions occurring within approximately 40 s of these changes. Collisions were more common among young people and in the early morning and evening. CONCLUSION Our dashcam video footage-based analysis in truck collisions attributed to falling asleep at the wheel revealed the process of changes in microsleep-related driver and vehicle behaviors, classified as anti-sleepiness behavior, behavioral signs of microsleep, and abnormal vehicle behavior. Based on these findings, to prevent collisions caused by falling asleep at the wheel, it is crucial to monitor not only the driver's eyes, but also the driver's whole body and vehicle behavior simultaneously to reliably detect microsleep-related behaviors.
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Affiliation(s)
- Hajime Kumagai
- Department of Sleep Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 7348553, Japan.
| | - Kengo Kawaguchi
- Department of Sleep Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 7348553, Japan
| | - Hiroyuki Sawatari
- Department of Perioperative and Critical Care Management, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 7348553, Japan
| | - Yuka Kiyohara
- Department of Sleep Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 7348553, Japan
| | - Mitsuo Hayashi
- Graduate School of Integrated Arts and Sciences, Hiroshima University, 1-7-1 Kagamiyama, Higashi-Hiroshima 7398521, Japan
| | - Toshiaki Shiomi
- Department of Sleep Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 7348553, Japan
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Martin VP, Lopez R, Dauvilliers Y, Rouas JL, Philip P, Micoulaud-Franchi JA. Sleepiness in adults: An umbrella review of a complex construct. Sleep Med Rev 2023; 67:101718. [PMID: 36455433 DOI: 10.1016/j.smrv.2022.101718] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 10/21/2022] [Accepted: 11/10/2022] [Indexed: 11/21/2022]
Abstract
Sleepiness involves many dimensions that require investigation. Since sleepiness is often defined operationally, we exhaustively inventoried all the assessment tools designed to measure it in an umbrella review, without any preconceptions, i.e. a review of reviews. We included all reviews and systematic reviews related to sleepiness assessment tools published up to March 2021. Three investigators independently assessed the eligibility of studies for inclusion and identified 36 relevant reviews. In total, 99 tools were identified and classified into 8 categories. We classified them depending on their category, their publication year and the number of mentions in the 36 included reviews. The 6 most frequently cited were the Epworth sleepiness scale, the multiple sleep latency test, the maintenance of wakefulness test, the Stanford sleepiness scale, the Karolinska sleepiness scale, and the psychomotor vigilance task. Despite the limitation that we may have missed some recently developed tools, this historical perspective on sleepiness measurement is a first step toward a better delineation of the different dimensions underlying the constructs of sleepiness, and will serve as a basis for further discussion in the clinical and research sleep community.
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Affiliation(s)
- Vincent P Martin
- Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, F-33400, Talence, France; Université de Bordeaux, SANPSY UMR 6033, F-33000, Bordeaux, France.
| | - Régis Lopez
- National Reference Center for Orphan Diseases, Narcolepsy, Idiopathic Hypersomnia and Kleine-Levin Syndrome, Sleep Disorders Center, Department of Neurology, Gui-de-Chauliac Hospital, CHU Montpellier, France; Institute for Neurosciences of Montpellier (INM), Montpellier University, INSERM, Montpellier, France
| | - Yves Dauvilliers
- National Reference Center for Orphan Diseases, Narcolepsy, Idiopathic Hypersomnia and Kleine-Levin Syndrome, Sleep Disorders Center, Department of Neurology, Gui-de-Chauliac Hospital, CHU Montpellier, France; Institute for Neurosciences of Montpellier (INM), Montpellier University, INSERM, Montpellier, France
| | - Jean-Luc Rouas
- Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, F-33400, Talence, France
| | - Pierre Philip
- Service de Médecine Universitaire du sommeil, CHU de Bordeaux, Place Amélie Raba-Leon, Bordeaux, France; Université de Bordeaux, SANPSY UMR 6033, F-33000, Bordeaux, France
| | - Jean-Arthur Micoulaud-Franchi
- Service de Médecine Universitaire du sommeil, CHU de Bordeaux, Place Amélie Raba-Leon, Bordeaux, France; Université de Bordeaux, SANPSY UMR 6033, F-33000, Bordeaux, France.
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Bonsignore MR, Lombardi C, Lombardo S, Fanfulla F. Epidemiology, Physiology and Clinical Approach to Sleepiness at the Wheel in OSA Patients: A Narrative Review. J Clin Med 2022; 11:jcm11133691. [PMID: 35806976 PMCID: PMC9267880 DOI: 10.3390/jcm11133691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 06/22/2022] [Accepted: 06/24/2022] [Indexed: 11/16/2022] Open
Abstract
Sleepiness at the wheel (SW) is recognized as an important factor contributing to road traffic accidents, since up to 30 percent of fatal accidents have been attributed to SW. Sleepiness-related motor vehicle accidents may occur both from falling asleep while driving and from behavior impairment attributable to sleepiness. SW can be caused by various sleep disorders but also by behavioral factors such as sleep deprivation, shift work and non-restorative sleep, as well as chronic disease or the treatment with drugs that negatively affect the level of vigilance. An association between obstructive sleep apnea (OSA) and motor vehicle accidents has been found, with an increasing risk in OSA patients up to sevenfold in comparison to the general population. Regular treatment with continuous positive airway pressure (CPAP) relieves excessive daytime sleepiness and reduces the crash risk. Open questions still remain about the physiological and clinical determinants of SW in OSA patients: the severity of OSA in terms of the frequency of respiratory events (apnea hypopnea index, AHI) or hypoxic load, the severity of daytime sleepiness, concomitant chronic sleep deprivation, comorbidities, the presence of depressive symptoms or chronic fatigue. Herein, we provide a review addressing the epidemiological, physiological and clinical aspects of SW, with a particular focus on the methods to recognize those patients at risk of SW.
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Affiliation(s)
- Maria R. Bonsignore
- PROMISE Department, University of Palermo, 90127 Palermo, Italy
- Sleep Clinic, Division of Respiratory Medicine, Ospedali Riuniti Villa Sofia-Cervello, 90146 Palermo, Italy;
- Institute for Biomedical Research and Innovation (IRIB), National Research Council (CNR), 90146 Palermo, Italy
- Correspondence:
| | - Carolina Lombardi
- Sleep Disorders Center, Department of Cardiology, San Luca Hospital, Istituto Auxologico Italiano, IRCCS, 20145 Milan, Italy;
- Department of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
| | - Simone Lombardo
- Sleep Clinic, Division of Respiratory Medicine, Ospedali Riuniti Villa Sofia-Cervello, 90146 Palermo, Italy;
| | - Francesco Fanfulla
- Respiratory Function and Sleep Unit, Maugeri Clinical and Scientific Institute of Pavia and Montescano, 27100 Pavia, Italy;
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