101
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Raphelson JR, Kreitinger KY, Malhotra A. Positive Airway Pressure Therapy in Sleep-Disordered Breathing. Neurotherapeutics 2021; 18:75-80. [PMID: 33230691 PMCID: PMC8116368 DOI: 10.1007/s13311-020-00971-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/11/2020] [Indexed: 11/25/2022] Open
Abstract
Obstructive sleep apnea (OSA) is a highly prevalent condition with major neurocognitive and cardiovascular health effects. Positive airway pressure (PAP) therapy prevents the collapse of the pharyngeal airway to improve hypoxemia, hypercapnia, and sleep fragmentation caused by OSA. While adherence to PAP therapy has been thought to be a barrier to use, consistent usage is likely much higher than commonly thought. In addition, many strategies have been developed to assist providers in improving their patients' PAP adherence.
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Affiliation(s)
| | | | - Atul Malhotra
- Department of Medicine, UC San Diego, San Diego, CA, USA
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102
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Leino A, Nikkonen S, Kainulainen S, Korkalainen H, Töyräs J, Myllymaa S, Leppänen T, Ylä-Herttuala S, Westeren-Punnonen S, Muraja-Murro A, Jäkälä P, Mervaala E, Myllymaa K. Neural network analysis of nocturnal SpO 2 signal enables easy screening of sleep apnea in patients with acute cerebrovascular disease. Sleep Med 2020; 79:71-78. [PMID: 33482455 DOI: 10.1016/j.sleep.2020.12.032] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 12/16/2020] [Accepted: 12/28/2020] [Indexed: 10/22/2022]
Abstract
Current diagnostics of sleep apnea relies on the time-consuming manual analysis of complex sleep registrations, which is impractical for routine screening in hospitalized patients with a high probability for sleep apnea, e.g. those experiencing acute stroke or transient ischemic attacks (TIA). To overcome this shortcoming, we aimed to develop a convolutional neural network (CNN) capable of estimating the severity of sleep apnea in acute stroke and TIA patients based solely on the nocturnal oxygen saturation (SpO2) signal. The CNN was trained with SpO2 signals derived from 1379 home sleep apnea tests (HSAT) of suspected sleep apnea patients and tested with SpO2 signals of 77 acute ischemic stroke or TIA patients. The CNN's performance was tested by comparing the estimated respiratory event index (REI) and oxygen desaturation index (ODI) with manually obtained values. Median estimation errors for REI and ODI in patients with stroke or TIA were 1.45 events/hour and 0.61 events/hour, respectively. Furthermore, based on estimated REI and ODI, 77.9% and 88.3% of these patients were classified into the correct sleep apnea severity categories. The sensitivity and specificity to identify sleep apnea (REI > 5 events/hour) were 91.8% and 78.6%, respectively. Moderate-to-severe sleep apnea was detected (REI > 15 events/hour) with sensitivity of 92.3% and specificity of 96.1%. The CNN analysis of the SpO2 signal has great potential as a simple screening tool for sleep apnea. This novel automatic method accurately detects sleep apnea in acute cerebrovascular disease patients and facilitates their referral for a differential diagnostic HSAT or polysomnography evaluation.
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Affiliation(s)
- Akseli Leino
- Department of Clinical Neurophysiology, Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland; Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
| | - Sami Nikkonen
- Department of Clinical Neurophysiology, Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland; Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
| | - Samu Kainulainen
- Department of Clinical Neurophysiology, Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland; Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
| | - Henri Korkalainen
- Department of Clinical Neurophysiology, Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland; Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
| | - Juha Töyräs
- Department of Clinical Neurophysiology, Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland; Department of Applied Physics, University of Eastern Finland, Kuopio, Finland; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia
| | - Sami Myllymaa
- Department of Clinical Neurophysiology, Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland; Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
| | - Timo Leppänen
- Department of Clinical Neurophysiology, Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland; Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
| | - Salla Ylä-Herttuala
- Department of Clinical Neurophysiology, Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Susanna Westeren-Punnonen
- Department of Clinical Neurophysiology, Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Anu Muraja-Murro
- Department of Clinical Neurophysiology, Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Pekka Jäkälä
- Department of Neurology, NeuroCenter, Kuopio University Hospital, Kuopio, Finland; Department of Neurology, University of Eastern Finland, Kuopio, Finland
| | - Esa Mervaala
- Department of Clinical Neurophysiology, Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland; Department of Clinical Neurophysiology, University of Eastern Finland, Kuopio, Finland
| | - Katja Myllymaa
- Department of Clinical Neurophysiology, Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland; Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
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103
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Boulos MI, Dharmakulaseelan L, Brown DL, Swartz RH. Trials in Sleep Apnea and Stroke: Learning From the Past to Direct Future Approaches. Stroke 2020; 52:366-372. [PMID: 33349009 DOI: 10.1161/strokeaha.120.031709] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Few randomized controlled trials have evaluated the effectiveness of continuous positive airway pressure (CPAP) in reducing recurrent vascular events and mortality in poststroke obstructive sleep apnea (OSA). To date, results have been mixed, most studies were underpowered and definitive conclusions are not available. Using lessons learned from prior negative trials in stroke, we reappraise prior randomized controlled trials that examined the use of CPAP in treating poststroke OSA and propose the following considerations: (1) Intervention-based changes, such as ensuring that patients are using CPAP for at least 4 hours per night (eg, through use of improvements in CPAP technology that make it easier for patients to use), as well as considering alternative treatment strategies for poststroke OSA; (2) Population-based changes (ie, including stroke patients with severe and symptomatic OSA and CPAP noncompliers); and (3) Changes to timing of intervention and follow-up (ie, early initiation of CPAP therapy within the first 48 hours of stroke and long-term follow-up calculated in accordance with sample size to ensure adequate power). Given the burden of vascular morbidity and mortality in stroke patients with OSA, there is a strong need to learn from past negative trials and explore innovative stroke prevention strategies to improve stroke-free survival.
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Affiliation(s)
- Mark I Boulos
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Canada (M.I.B., L.D., R.H.S.).,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute (M.I.B., L.D., R.H.S.), Sunnybrook Health Sciences Centre, Toronto, Canada.,Sleep Laboratory (M.I.B., R.H.S.), Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Laavanya Dharmakulaseelan
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Canada (M.I.B., L.D., R.H.S.).,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute (M.I.B., L.D., R.H.S.), Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Devin L Brown
- Department of Neurology, University of Michigan, Ann Arbor (D.L.B.)
| | - Richard H Swartz
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Canada (M.I.B., L.D., R.H.S.).,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute (M.I.B., L.D., R.H.S.), Sunnybrook Health Sciences Centre, Toronto, Canada.,Sleep Laboratory (M.I.B., R.H.S.), Sunnybrook Health Sciences Centre, Toronto, Canada
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104
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Lin HJ, Yeh JH, Hsieh MT, Hsu CY. Continuous positive airway pressure with good adherence can reduce risk of stroke in patients with moderate to severe obstructive sleep apnea: An updated systematic review and meta-analysis. Sleep Med Rev 2020; 54:101354. [DOI: 10.1016/j.smrv.2020.101354] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 04/23/2020] [Accepted: 04/24/2020] [Indexed: 01/23/2023]
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105
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Šiarnik P, Jurík M, Klobučníková K, Kollár B, Pirošová M, Malík M, Turčáni P, Sýkora M. Sleep apnea prediction in acute ischemic stroke (SLAPS score): a derivation study. Sleep Med 2020; 77:23-28. [PMID: 33302095 DOI: 10.1016/j.sleep.2020.11.022] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 11/15/2020] [Accepted: 11/18/2020] [Indexed: 11/15/2022]
Abstract
BACKGROUND Despite its high prevalence and negative impact, sleep-disordered breathing (SDB) remain commonly underdiagnosed and undertreated in stroke subjects. Multiple stroke comorbidities and risk factors, including obesity, hypertension, diabetes mellitus, ischemic heart disease, atrial fibrillation, and heart failure (H.F.) have been associated with SDB. This study aimed to examine associations of clinical and demographic characteristics with moderate-to-severe SDB (msSDB) in stroke patients and to develop a predictive score. METHODS Consecutive patients with ischemic stroke were enrolled in an open, prospective study. SDB was assessed using standard polysomnography. Clinical and demographic characteristics, as well as findings from echocardiography, entered the analysis. Multivariate logistic regression models were used to examine the associations with msSDB. Based on the results, an original score to predict msSDB was proposed and tested. RESULTS 120 patients with acute ischemic stroke (mean age: 64.0 ± 12.2 years, median NIHSS: 4) were included. Body-mass index (BMI), wake-up stroke onset (WUS), and diastolic dysfunction were independently associated with msSDB. A score allocating 1 point for BMI≥25 kg/m2 and <30 kg/m2, 2 points for BMI≥30 kg/m2, 1 point for WUS and 1 point for diastolic dysfunction resulted in an area under the curve of 0.81 (95% CI 0.71-0.90, p<0.001), sensitivity 82.9%, specificity 71.9% to identify stroke patients with msSDB. CONCLUSIONS BMI, WUS, and diastolic dysfunction were associated with msSDB. A simple score might help to identify acute stroke patients with msSDB, who are usual candidates for positive airway pressure therapy.
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Affiliation(s)
- Pavel Šiarnik
- 1(st) Department of Neurology, Faculty of Medicine, Comenius University, Bratislava, Slovakia.
| | - Matúš Jurík
- 1(st) Department of Neurology, Faculty of Medicine, Comenius University, Bratislava, Slovakia.
| | - Katarína Klobučníková
- 1(st) Department of Neurology, Faculty of Medicine, Comenius University, Bratislava, Slovakia.
| | - Branislav Kollár
- 1(st) Department of Neurology, Faculty of Medicine, Comenius University, Bratislava, Slovakia.
| | - Margita Pirošová
- Department of Internal Medicine, Faculty of Medicine, Comenius University, Bratislava, Slovakia.
| | - Miroslav Malík
- Department of Radiology, Faculty of Medicine, Comenius University, Bratislava, Slovakia.
| | - Peter Turčáni
- 1(st) Department of Neurology, Faculty of Medicine, Comenius University, Bratislava, Slovakia.
| | - Marek Sýkora
- 1(st) Department of Neurology, Faculty of Medicine, Comenius University, Bratislava, Slovakia; Department of Neurology, St. John's Hospital, Medical Faculty, Sigmund Freud University Vienna, Austria.
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106
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Affiliation(s)
- Antonio Culebras
- Director Medical Neurology, University Sleep Center, SUNY Upstate Medical University, Syracuse, NY, USA.
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107
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Léotard A, Levy J, Pérennou D, Pépin JL, Lofaso F, Bensmail D, Lebret M, Baillieul S. Sleep might have a pivotal role in rehabilitation medicine: A road map for care improvement and clinical research. Ann Phys Rehabil Med 2020; 64:101392. [PMID: 32445976 DOI: 10.1016/j.rehab.2020.04.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 03/31/2020] [Accepted: 04/13/2020] [Indexed: 12/01/2022]
Affiliation(s)
- Antoine Léotard
- Département de physiologie, explorations fonctionnelles, unité des pathologies du sommeil, AP-HP, Hôpital Raymond-Poincaré, 104, boulevard Raymond-Poincaré, 92380 Garches, France; Université Versailles-Saint-Quentin-en-Yvelines, "End:icap" U1179 Inserm, UFR Des sciences de la sante-Simone-Veil, Versailles, France; Sleep Lab Initiative In PMR group (SLIIP), Garches, France.
| | - Jonathan Levy
- Service de médecine physique et de réadaptation, Hôpital Raymond Poincaré, AP-HP, 104, boulevard Raymond-Poincaré, 92380 Garches, France; Université Versailles-Saint-Quentin-en-Yvelines, "End:icap" U1179 Inserm, UFR Des sciences de la sante-Simone-Veil, Versailles, France; Sleep Lab Initiative In PMR group (SLIIP), Garches, France
| | - Dominic Pérennou
- Département de Rééducation Neurologique, CHU Grenoble Alpes, Grenoble, France; Laboratoire Psychologie et Neurocognition (LPNC), Univ Grenoble Alpes, Grenoble, 38000, Grenoble, France
| | - Jean-Louis Pépin
- HP2, Inserm U1042, Univ Grenoble Alpes, Grenoble, 38000 France; Laboratoire Sommeil et exercice, pole thorax-vaisseaux, CHU Grenoble Alpes, Grenoble, France
| | - Frédéric Lofaso
- Département de physiologie, explorations fonctionnelles, unité des pathologies du sommeil, AP-HP, Hôpital Raymond-Poincaré, 104, boulevard Raymond-Poincaré, 92380 Garches, France; Université Versailles-Saint-Quentin-en-Yvelines, "End:icap" U1179 Inserm, UFR Des sciences de la sante-Simone-Veil, Versailles, France
| | - Djamel Bensmail
- Service de médecine physique et de réadaptation, Hôpital Raymond Poincaré, AP-HP, 104, boulevard Raymond-Poincaré, 92380 Garches, France
| | - Marius Lebret
- Groupe de recherche en hypertension pulmonaire, Institut universitaire de cardiologie et de pneumologie de Québec, 2725, Chemin Sainte-Foy, G1V 4G5 Québec, Canada; Sleep Lab Initiative In PMR group (SLIIP), Garches, France
| | - Sebastien Baillieul
- HP2, Inserm U1042, Univ Grenoble Alpes, Grenoble, 38000 France; Laboratoire Sommeil et exercice, pole thorax-vaisseaux, CHU Grenoble Alpes, Grenoble, France; Sleep Lab Initiative In PMR group (SLIIP), Garches, France
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108
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Bernasconi C, Ott SR, Fanfulla F, Miano S, Horvath T, Seiler A, Cereda CW, Brill AK, Young P, Nobili L, Manconi M, Bassetti CLA. SAS CARE 2 - a randomized study of CPAP in patients with obstructive sleep disordered breathing following ischemic stroke or transient ischemic attack. Sleep Med X 2020; 2:100027. [PMID: 33870178 PMCID: PMC8041126 DOI: 10.1016/j.sleepx.2020.100027] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 09/03/2020] [Accepted: 09/29/2020] [Indexed: 12/23/2022] Open
Abstract
Objective/background The benefit of Continuous Positive Airway Pressure (CPAP) treatment following ischemic stroke in patients with obstructive sleep-disordered breathing (SDB) is unclear. We set out to investigate this open question in a randomized controlled trial as part of the SAS-CARE study. Patients/methods. Non-sleepy patients (ESS < 10) with ischemic stroke or transient ischemic attack (TIA) and obstructive SDB (AHI ≥ 20) 3 months post-stroke were randomized 1:1 to CPAP treatment (CPAP+) or standard care. Primary outcome was the occurrence of vascular events (TIA/stroke, myocardial infarction/revascularization, hospitalization for heart failure or unstable angina) or death within 24 months post-stroke. Secondary outcomes included Modified Rankin Scale (mRS) and Barthel Index. Results Among 238 SAS-CARE patients 41 (17%) non-sleepy obstructive SDB patients were randomized to CPAP (n = 19) or standard care (n = 22). Most patients (80%) had stroke and were males (78%), mean age was 64 ± 7 years and mean NIHSS score 0.6 ± 1.0 (range: 0–5). The primary endpoint was met by one patient in the standard care arm (a new stroke). In an intent-to treat analysis disregarding adherence, this corresponds to an absolute risk difference of 4.5% or an NNT = 22. mRS and Barthel Index were stable and similar between arms. CPAP adherence was sufficient in 60% of evaluable patients at month 24. Conclusion No benefit of CPAP started three months post-stroke was found in terms of new cardio- and cerebrovascular events over 2 years. This may be related to the small size of this study, the mild stoke severity, the exclusion of sleepy patients, the delayed start of treatment, and the overall low event rate. No benefit of CPAP started 3 months post-stroke was found. A sufficient CPAP compliance was observed over 2 years in 60% of patients. Studies of CPAP in mild stroke need to be large and include long-term outcomes.
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Affiliation(s)
- C Bernasconi
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - S R Ott
- Department of Pulmonary Medicine, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.,Sleep-Wake-Epilepsy Center, Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.,Pulmonary and Sleep Medicine, St. Claraspital, Basel, Switzerland
| | - F Fanfulla
- Sleep Medicine, Neurocenter of the Southern Switzerland, Regional Hospital of Lugano, Lugano, Switzerland.,Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland.,Sleep Medicine Unit, Istituti Clinici Scientifici Maugeri, Pavia, Italy
| | - S Miano
- Sleep Medicine, Neurocenter of the Southern Switzerland, Regional Hospital of Lugano, Lugano, Switzerland.,Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - T Horvath
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - A Seiler
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - C W Cereda
- Stroke Center EOC, Neurocenter of the Southern Switzerland, Regional Hospital of Lugano, Lugano, Switzerland
| | - A-K Brill
- Department of Pulmonary Medicine, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.,Sleep-Wake-Epilepsy Center, Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - P Young
- University Hospital Münster, Department of Neurology, Münster, Germany
| | - L Nobili
- Department of Neurology, Ospedale Niguarda, Milano, Italy.,DINOGMI, University of Genoa, Genoa, Italy
| | - M Manconi
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.,Sleep Medicine, Neurocenter of the Southern Switzerland, Regional Hospital of Lugano, Lugano, Switzerland.,Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - C L A Bassetti
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.,Sleep-Wake-Epilepsy Center, Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.,Neurology Department, Sechenov First Moscow State Medical University, Moscow, Russia
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109
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Meng PP, Zhang SC, Han C, Wang Q, Bai GT, Yue SW. The Occurrence Rate of Swallowing Disorders After Stroke Patients in Asia: A PRISMA-Compliant Systematic Review and Meta-Analysis. J Stroke Cerebrovasc Dis 2020; 29:105113. [DOI: 10.1016/j.jstrokecerebrovasdis.2020.105113] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 06/23/2020] [Accepted: 06/28/2020] [Indexed: 01/07/2023] Open
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110
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Šiarnik P, Jurík M, Veverka J, Klobučníková K, Kollár B, Turčáni P, Sýkora M. Pulse oximetric routine examination of sleep apnea in acute stroke (PRESS). Sleep Med 2020; 73:208-212. [DOI: 10.1016/j.sleep.2020.06.035] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 06/25/2020] [Accepted: 06/30/2020] [Indexed: 12/17/2022]
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111
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Schütz SG, Lisabeth LD, Hsu CW, Kim S, Chervin RD, Brown DL. Central sleep apnea is uncommon after stroke. Sleep Med 2020; 77:304-306. [PMID: 32948418 DOI: 10.1016/j.sleep.2020.08.025] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 08/21/2020] [Accepted: 08/26/2020] [Indexed: 11/28/2022]
Abstract
OBJECTIVE/BACKGROUND Stroke is often considered a risk factor for central sleep apnea (CSA). The goal of this study was to determine the prevalence and clinical correlates of CSA in patients with ischemic stroke. PATIENTS/METHODS In this analysis, 1346 participants in the Brain Attack Surveillance in Corpus Christi (BASIC) project underwent a home sleep apnea test shortly after ischemic stroke. Respiratory events during sleep were classified as central apneas, obstructive apneas, or hypopneas. Central apnea index (CAI) was defined as number of central apneas divided by recording time. CSA was defined as CAI ≥5/hour with at least 50% of all scored respiratory events classified as central apneas. Demographics and co-morbidities were ascertained from the medical record. RESULTS Median CAI was 0/hour. Nineteen participants (1.4%) met criteria for CSA. Participants with CSA were more likely to be male, and had lower prevalence of obesity than participants without CSA. There was no association between CSA and other co-morbidities. CONCLUSIONS CSA was uncommon in this large cohort of patients with recent ischemic stroke.
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Affiliation(s)
- Sonja G Schütz
- Sleep Disorders Center, Department of Neurology, University of Michigan, 1500 E. Medical Center Drive, Ann Arbor, MI 48109, USA.
| | - Lynda D Lisabeth
- Department of Epidemiology, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Chia-Wei Hsu
- Department of Epidemiology, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Sehee Kim
- Department of Biostatistics, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, USA.
| | - Ronald D Chervin
- Sleep Disorders Center, Department of Neurology, University of Michigan, 1500 E. Medical Center Drive, Ann Arbor, MI 48109, USA.
| | - Devin L Brown
- Stroke Program - Cardiovascular Center, Department of Neurology, University of Michigan, 1500 E Medical Center Drive, Ann Arbor, MI 48109, USA.
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112
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Whyte A, Gibson D. Imaging of sleep-disordered breathing in adults. Clin Radiol 2020; 75:960.e1-960.e16. [PMID: 32620255 DOI: 10.1016/j.crad.2020.05.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 05/15/2020] [Indexed: 10/24/2022]
Abstract
Sleep-disordered breathing (SDB) is a term that includes several chronic conditions in which partial or complete cessation of breathing occurs multiple times throughout the night. Central sleep apnoea (CSA) is uncommon and defined by the episodic cessation of airflow without respiratory effort. Lesions involving the respiratory centre in the brainstem or the origin of the phrenic nerve from the mid-cervical cord are the commonest structural causes of CSA; magnetic resonance imaging (MRI) will demonstrate the lesion and frequently suggest the likely aetiology. In contrast, obstructive sleep apnoea (OSA) is defined as upper airway obstruction despite ongoing respiratory effort. Repetitive episodes of narrowing or closure of the upper airway are the predominant cause leading to snoring and OSA, respectively. OSA affects 33-40% of the adult population and is associated with multiple adverse health consequences, including a significantly increased risk of serious morbidity and mortality. The incidence is increasing proportionally to the worldwide rise in obesity. Imaging, performed primarily without the involvement of radiologists, has been integral to understanding the anatomical basis of SDB and especially OSA. This article will review the pathophysiology, imaging findings, and sequelae of these common conditions. The role of imaging both in suggesting the incidental diagnoses of SDB and in the investigation of these conditions when the diagnosis is suspected or has been established are also discussed.
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Affiliation(s)
- A Whyte
- Perth Radiological Clinic, Subiaco, WA 6008, Australia; Departments of Surgery and Dentistry, University of Western Australia, Nedlands, WA 6009, Australia; Departments of Medicine and Radiology, University of Melbourne, Carlton, Victoria 3000, Australia.
| | - D Gibson
- Departments of Surgery and Dentistry, University of Western Australia, Nedlands, WA 6009, Australia; Imaging Department, Fiona Stanley Hospital, Murdoch, WA 6150, Australia; Department of Medicine, Curtin Medical School, Bentley, WA 6102, Australia
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113
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Ott SR, Fanfulla F, Miano S, Horvath T, Seiler A, Bernasconi C, Cereda CW, Brill AK, Young P, Nobili L, Manconi M, Bassetti CLA. SAS Care 1: sleep-disordered breathing in acute stroke an transient ischaemic attack - prevalence, evolution and association with functional outcome at 3 months, a prospective observational polysomnography study. ERJ Open Res 2020; 6:00334-2019. [PMID: 32577418 PMCID: PMC7293990 DOI: 10.1183/23120541.00334-2019] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 03/24/2020] [Indexed: 12/27/2022] Open
Abstract
Sleep-disordered breathing (SDB) is frequent in patients with acute stroke. Little is known, however about the evolution of SDB after stroke. Most of our knowledge stems from smaller cohort studies applying limited cardiopulmonary sleep recordings or from cross-sectional data collected in different populations. This study aims to determine prevalence, type and intra-individual evolution of SDB based on full-night polysomnography (PSG) in acute stroke and 3 months thereafter. Furthermore, we aimed to identify predictors of SDB in the acute and chronic phase and to evaluate associations between SDB and functional outcome at 3 months (M3). A total of 166 patients with acute cerebrovascular events were evaluated by full PSG at baseline and 105 again at M3. The baseline prevalence of SDB (apnoea–hypopnoea index (AHI)>5·h−1) was 80.5% and 25.4% of the patients had severe SDB (AHI>30·h−1). Obstructive sleep apnoea was more prevalent than central sleep apnoea (83.8% versus 13%). Mean±SD AHI was 21.4±17.6·h−1and decreased significantly at M3 (18±16.4·h−1; p=0.018). At M3, 91% of all patients with baseline SDB still had an AHI>5·h−1 and in 68.1% the predominant type of SDB remained unchanged (78.9% in obstructive sleep apnoea and 44.4% in central sleep apnoea). The only predictors of SDB at baseline were higher age and body mass index and in the chronic phase additionally baseline AHI. Baseline AHI was associated with functional outcome (modified Rankin score >3) at M3. The high prevalence of SDB in acute stroke, its persistence after 3 months, and the association with functional outcome supports the recommendation for a rapid SDB screening in stroke patients. The high prevalence of SDB in acute stroke, its persistence after 3 months and its association with functional outcome support the recommendation for rapid SDB screening in stroke patientshttps://bit.ly/3bFWqV7
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Affiliation(s)
- Sebastian R Ott
- Dept of Pulmonary Medicine, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.,Sleep-Wake-Epilepsy Center, Dept of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.,Pulmonary and Sleep Medicine, St Claraspital, Basel, Switzerland.,These authors contributed equally
| | - Francesco Fanfulla
- Neurocentre of Southern Switzerland, Lugano, Switzerland.,Sleep Medicine Unit, Istituti Clinici Scientifici Maugeri, Pavia, Italy.,These authors contributed equally
| | - Silvia Miano
- Neurocentre of Southern Switzerland, Lugano, Switzerland
| | - Thomas Horvath
- Dept of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Andrea Seiler
- Dept of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Corrado Bernasconi
- Dept of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Carlo W Cereda
- Neurocentre of Southern Switzerland, Lugano, Switzerland
| | - Anne-Kathrin Brill
- Dept of Pulmonary Medicine, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.,Sleep-Wake-Epilepsy Center, Dept of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Peter Young
- Dept of Neurology, University Hospital Münster, Münster, Germany
| | - Lino Nobili
- Dept of Neurology, Ospedale Niguarda, Milan, Italy.,Dept of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Child and Maternal Health (DINOGMI), University of Genova, Genoa, Italy
| | - Mauro Manconi
- Neurocentre of Southern Switzerland, Lugano, Switzerland.,Dept of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Claudio L A Bassetti
- Sleep-Wake-Epilepsy Center, Dept of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.,Dept of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.,Dept of Neurology, Sechenow University, Moscow, Russia
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114
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Brown DL, He K, Kim S, Hsu CW, Case E, Chervin RD, Lisabeth LD. Prediction of sleep-disordered breathing after stroke. Sleep Med 2020; 75:1-6. [PMID: 32835899 DOI: 10.1016/j.sleep.2020.05.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Revised: 04/16/2020] [Accepted: 05/06/2020] [Indexed: 11/26/2022]
Abstract
OBJECTIVE/BACKGROUND Sleep-disordered breathing (SDB) is highly prevalent after stroke and is associated with poor outcomes. Currently, after stroke, objective testing must be used to differentiate patients with and without SDB. Within a large, population-based study, we evaluated the usefulness of a flexible statistical model based on baseline characteristics to predict post-stroke SDB. PATIENTS/METHODS Within a population-based study, participants (2010-2018) underwent SDB screening, shortly after ischemic stroke, with a home sleep apnea test. The respiratory event index (REI) was calculated as the number of apneas and hypopneas per hour of recording; values ≥10 defined SDB. The distributed random forest classifier (a machine learning technique) was applied to predict SDB with the following as predictors: demographics, stroke risk factors, stroke severity (NIHSS), neck and waist circumference, palate position, and pre-stroke symptoms of snoring, apneas, and sleepiness. RESULTS Within the total sample (n = 1330), median age was 65 years; 47% were women; 32% non-Hispanic white, 62% Mexican American, and 6% African American. SDB was found in 891 (67%). The area under the receiver operating characteristic curve, a measure of predictive ability, applied to the validation sample was 0.75 for the random forest model. Random forest correctly classified 72.5% of validation samples. CONCLUSIONS In this large, ethnically diverse, population-based sample of ischemic stroke patients, prediction models based on baseline characteristics and clinical measures showed fair rather than clinically reliable performance, even with use of advanced machine learning techniques. Results suggest that objective tests are still needed to differentiate ischemic stroke patients with and without SDB.
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Affiliation(s)
- Devin L Brown
- Stroke Program, University of Michigan, United States.
| | - Kevin He
- Department of Biostatistics, School of Public Health, University of Michigan, United States
| | - Sehee Kim
- Department of Biostatistics, School of Public Health, University of Michigan, United States
| | - Chia-Wei Hsu
- Department of Epidemiology, School of Public Health, University of Michigan, United States
| | - Erin Case
- Stroke Program, University of Michigan, United States; Department of Epidemiology, School of Public Health, University of Michigan, United States
| | - Ronald D Chervin
- Sleep Disorders Center and Department of Neurology, University of Michigan, United States
| | - Lynda D Lisabeth
- Stroke Program, University of Michigan, United States; Department of Epidemiology, School of Public Health, University of Michigan, United States
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115
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Bassetti CLA, Randerath W, Vignatelli L, Ferini-Strambi L, Brill AK, Bonsignore MR, Grote L, Jennum P, Leys D, Minnerup J, Nobili L, Tonia T, Morgan R, Kerry J, Riha R, McNicholas WT, Papavasileiou V. EAN/ERS/ESO/ESRS statement on the impact of sleep disorders on risk and outcome of stroke. Eur Respir J 2020; 55:13993003.01104-2019. [PMID: 32317355 DOI: 10.1183/13993003.01104-2019] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Accepted: 09/12/2019] [Indexed: 12/26/2022]
Abstract
Sleep disorders are highly prevalent in the general population and may be linked in a bidirectional fashion to stroke, which is one of the leading causes of morbidity and mortality.Four major scientific societies established a task force of experts in neurology, stroke, respiratory medicine, sleep medicine and methodology, to critically evaluate the evidence regarding potential links and the impact of therapy. 13 research questions were evaluated in a systematic literature search using a stepwise hierarchical approach: first, systematic reviews and meta-analyses; second, primary studies post-dating the systematic reviews/meta-analyses. A total of 445 studies were evaluated and 88 included. Statements were generated regarding current evidence and clinical practice.Severe obstructive sleep apnoea (OSA) doubles the risk for incident stroke, especially in young to middle-aged patients. Continuous positive airway pressure (CPAP) may reduce stroke risk, especially in treatment-compliant patients. The prevalence of OSA is high in stroke patients and can be assessed by polygraphy. Severe OSA is a risk factor for recurrence of stroke and may be associated with stroke mortality, while CPAP may improve stroke outcome. It is not clear if insomnia increases stroke risk, while pharmacotherapy of insomnia may increase it. Periodic limb movements in sleep (PLMS), but not restless limb syndrome (RLS), may be associated with an increased risk of stroke. Preliminary data suggest a high frequency of post-stroke insomnia and RLS and their association with a less favourable stroke outcome, while treatment data are scarce.Overall, the evidence base is best for OSA relationship with stroke and supports active diagnosis and therapy. Research gaps remain especially regarding insomnia and RLS/PLMS relationships with stroke.
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Affiliation(s)
- Claudio L A Bassetti
- Neurology Dept, Medical Faculty, University Hospital, Bern, Switzerland.,Dept of Neurology, Sechenov First Moscow State Medical University, Moscow, Russia.,Co-shared first authorship
| | - Winfried Randerath
- Bethanien Hospital, Clinic of Pneumology and Allergology, Center for Sleep Medicine and Respiratory Care, Institute of Pneumology at the University of Cologne, Solingen, Germany.,Co-shared first authorship
| | - Luca Vignatelli
- Servizio di Epidemiologia e Biostatistica IRCCS, Istituto delle Scienze Neurologiche di Bologna Ospedale Bellaria, Bologna, Italy
| | - Luigi Ferini-Strambi
- Dept of Neurology OSR-Turro, Sleep Disorder Center, Vita-Salute San Raffaele University, Milan, Italy
| | - Anne-Kathrin Brill
- Dept of Pulmonary Medicine, University and University Hospital Bern, Bern, Switzerland
| | - Maria R Bonsignore
- PROMISE Dept, Division of Respiratory Medicine, DiBiMIS, University of Palermo and IBIM-CNR, Palermo, Italy
| | - Ludger Grote
- Sleep Disorders Center, Dept of Pulmonary Medicine, Sahlgrenska University Hospital, Göteborg, Sweden
| | - Poul Jennum
- Danish Center for Sleep Medicine, Rigshospitalet, Copenhagen, Denmark
| | - Didier Leys
- Dept of Neurology, University of Lille, Lille, France
| | - Jens Minnerup
- Dept of Neurology and Institute for Translational Neurology, University of Muenster, Muenster, Germany
| | - Lino Nobili
- Child Neuropsychiatry Unit, Gaslini Institute DINOGMI, University of Genova, Genoa, Italy
| | - Thomy Tonia
- Institute of Social and Preventive Medicine, Universtity of Bern, Bern, Switzerland
| | - Rebecca Morgan
- Dept of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Joel Kerry
- Library and Information Service, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Renata Riha
- Sleep Research Unit, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,Dept of Sleep Medicine, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Walter T McNicholas
- Dept of Respiratory and Sleep Medicine, St. Vincent's University Hospital, Dublin, Ireland.,School of Medicine, University College Dublin, Dublin, Ireland.,First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Co-shared senior authorship
| | - Vasileios Papavasileiou
- Leeds Teaching Hospital NHS Trust, Leeds, UK.,Medical School, University of Leeds, Leeds, UK.,Co-shared senior authorship
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116
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Bassetti CLA, Randerath W, Vignatelli L, Ferini‐Strambi L, Brill A, Bonsignore MR, Grote L, Jennum P, Leys D, Minnerup J, Nobili L, Tonia T, Morgan R, Kerry J, Riha R, McNicholas WT, Papavasileiou V. EAN/ERS/ESO/ESRS statement on the impact of sleep disorders on risk and outcome of stroke. Eur J Neurol 2020; 27:1117-1136. [DOI: 10.1111/ene.14201] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 03/04/2020] [Indexed: 02/06/2023]
Affiliation(s)
- C. L. A. Bassetti
- Neurology Department Medical Faculty University Hospital Bern Switzerland
- Department of Neurology Sechenov First Moscow State Medical University Moscow Russia
| | - W. Randerath
- Clinic of Pneumology and Allergology Center for Sleep Medicine and Respiratory Care Bethanien Hospital Institute of Pneumology at the University of Cologne Solingen Germany
| | - L. Vignatelli
- Servizio di Epidemiologia e Biostatistica IRCCS Istituto delle Scienze Neurologiche di Bologna Ospedale Bellaria BolognaItaly
| | - L. Ferini‐Strambi
- Department of Neurology OSR‐Turro Sleep Disorder Center Vita‐Salute San Raffaele University Milan Italy
| | - A.‐K. Brill
- Department of Pulmonary Medicine University and University Hospital Bern Bern Switzerland
| | - M. R. Bonsignore
- PROMISE Department Division of Respiratory Medicine DiBiMIS University of Palermo and IBIM‐CNR Palermo Italy
| | - L. Grote
- Sleep Disorders Center Department of Pulmonary Medicine Sahlgrenska University Hospital Göteborg Sweden
| | - P. Jennum
- Danish Center for Sleep Medicine Rigshospitalet Copenhagen Denmark
| | - D. Leys
- Department of Neurology University of Lille Lille France
| | - J. Minnerup
- Department of Neurology and Institute for Translational Neurology University of Muenster Muenster Germany
| | - L. Nobili
- Child Neuropsychiatry Unit Gaslini Institute DINOGMI University of Genova Genoa Italy
| | - T. Tonia
- Institute of Social and Preventive Medicine Universtity of Bern Bern Switzerland
| | - R. Morgan
- Department of Health Research Methods, Evidence, and Impact McMaster University Hamilton ON Canada
| | - J. Kerry
- Library and Information Service Leeds Teaching Hospitals NHS Trust LeedsUK
| | - R. Riha
- Sleep Research Unit Centre for Clinical Brain Sciences University of Edinburgh EdinburghUK
- Department of Sleep Medicine Royal Infirmary of Edinburgh Edinburgh UK
| | - W. T. McNicholas
- Department of Respiratory and Sleep Medicine St Vincent’s University Hospital DublinIreland
- School of Medicine University College Dublin Dublin Ireland
- First Affiliated Hospital of Guangzhou Medical University Guangzhou China
| | - V. Papavasileiou
- Leeds Teaching Hospital NHS Trust LeedsUK
- Medical School University of Leeds Leeds UK
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117
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Abstract
IMPORTANCE Obstructive sleep apnea (OSA) affects 17% of women and 34% of men in the US and has a similar prevalence in other countries. This review provides an update on the diagnosis and treatment of OSA. OBSERVATIONS The most common presenting symptom of OSA is excessive sleepiness, although this symptom is reported by as few as 15% to 50% of people with OSA in the general population. OSA is associated with a 2- to 3-fold increased risk of cardiovascular and metabolic disease. In many patients, OSA can be diagnosed with home sleep apnea testing, which has a sensitivity of approximately 80%. Effective treatments include weight loss and exercise, positive airway pressure, oral appliances that hold the jaw forward during sleep, and surgical modification of the pharyngeal soft tissues or facial skeleton to enlarge the upper airway. Hypoglossal nerve stimulation is effective in select patients with a body mass index less than 32. There are currently no effective pharmacological therapies. Treatment with positive airway pressure lowers blood pressure, especially in patients with resistant hypertension; however, randomized clinical trials of OSA treatment have not demonstrated significant benefit on rates of cardiovascular or cerebrovascular events. CONCLUSIONS AND RELEVANCE OSA is common and the prevalence is increasing with the increased prevalence of obesity. Daytime sleepiness is among the most common symptoms, but many patients with OSA are asymptomatic. Patients with OSA who are asymptomatic, or whose symptoms are minimally bothersome and pose no apparent risk to driving safety, can be treated with behavioral measures, such as weight loss and exercise. Interventions such as positive airway pressure are recommended for those with excessive sleepiness and resistant hypertension. Managing asymptomatic OSA to reduce cardiovascular and cerebrovascular events is not currently supported by high-quality evidence.
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Affiliation(s)
- Daniel J Gottlieb
- Medical Service, VA Boston Healthcare System, Boston, Massachusetts
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Naresh M Punjabi
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland
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118
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Crespo A, Baillieul S, Marhuenda E, Bradicich M, Andrianopoulos V, Louvaris Z, Marillier M, Almendros I. ERS International Congress, Madrid, 2019: highlights from the Sleep and Clinical Physiology Assembly. ERJ Open Res 2020; 6:00373-2019. [PMID: 32714963 PMCID: PMC7369446 DOI: 10.1183/23120541.00373-2019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2019] [Accepted: 05/13/2020] [Indexed: 12/12/2022] Open
Abstract
The 2019 European Respiratory Society (ERS) International Congress took place in Madrid, Spain, and served as a platform to find out the latest advances in respiratory diseases research. The research aims are to understand the physiology and consequences of those diseases, as well as the improvement in their diagnoses, treatments and patient care. In particular, the scientific sessions arranged by ERS Assembly 4 provided novel insights into sleep-disordered breathing and new knowledge in respiratory physiology. This article, divided by session, will summarise the most relevant studies presented at the ERS International Congress. Each section has been written by Early Career Members specialising in the different fields of this interdisciplinary assembly.
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Affiliation(s)
- Andrea Crespo
- Multidisciplinary Sleep Unit, Dept of Pulmonology, Rio Hortega University Hospital, Valladolid, Spain
- Biomedical Engineering Group, University of Valladolid, Valladolid, Spain
- All authors contributed equally to this work
| | - Sébastien Baillieul
- HP2 Laboratory, INSERM U1042, Grenoble Alpes University, Grenoble, France
- FCR Laboratory, Grenoble Alpes University Hospital, Grenoble, France
- All authors contributed equally to this work
| | - Esther Marhuenda
- Unitat de Biofísica i Bioenginyeria, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias CIBERES, Madrid, Spain
- All authors contributed equally to this work
| | - Matteo Bradicich
- Dept of Pulmonology and Sleep Disorders Centre, University Hospital Zurich, Zurich, Switzerland
- All authors contributed equally to this work
| | - Vasileios Andrianopoulos
- Institute for Pulmonary Rehabilitation Research, Schoen Klinik Berchtesgadener Land, Schoenau am Koenigssee, Germany
- All authors contributed equally to this work
| | - Zafeiris Louvaris
- Faculty of Kinesiology and Rehabilitation Sciences, Division of Respiratory Rehabilitation, Department Rehabilitation Sciences KU Leuven, University Hospitals Leuven, Leuven, Belgium
- All authors contributed equally to this work
| | - Mathieu Marillier
- Laboratory of Clinical Exercise Physiology, Queen's University, Kingston, ON, Canada
- All authors contributed equally to this work
| | - Isaac Almendros
- Unitat de Biofísica i Bioenginyeria, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias CIBERES, Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- All authors contributed equally to this work
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119
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Prospective study of sleep-disordered breathing in 28 patients with acute unilateral lateral medullary infarction. Sleep Breath 2020; 24:1557-1563. [DOI: 10.1007/s11325-020-02031-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 12/22/2019] [Accepted: 02/05/2020] [Indexed: 12/14/2022]
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120
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Camilo MR, Machado LA, Castilho CM, Sander HH, Eckeli AL, Fernandes RF, Leite JP, Pontes-Neto OM. Diagnostic Accuracy of Positive Airway Pressure Device for Sleep Apnea Detection in Acute Stroke Patients. Stroke 2020; 51:324-326. [DOI: 10.1161/strokeaha.119.027141] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose—
Sleep apnea has been associated with a poor outcome in acute stroke patients. Polysomnography is the gold standard diagnostic method for sleep apnea, but it is not feasible as a routine in the acute stroke setting. The current generation of positive airway pressure (PAP) devices can detect the different types of respiratory events. This study aimed to compare the algorithms used in PAP device to manually scored events on polysomnography in patients with acute stroke.
Methods—
A sleep study was performed with standard polysomnography and PAP device, simultaneously, within the first 48 hours after acute stroke onset.
Results—
We prospectively evaluated 29 patients with acute stroke (59.5±12.1 years). The area under the receiver operating characteristic curve for each apnea-hypopnea index value was above 0.90 by PAP device. There was a good correlation of apnea-hypopnea index (
r
s
=0.92;
P
<0.001), hypopnea index (
r
s
=0.89;
P
<0.001), and apnea index (
r
s
=0.70;
P
<0.001) between device-detected events and manually scored polysomnography.
Conclusions—
Given the high frequency of sleep apnea during the acute phase of stroke and the complexity of a full polysomnography study in this setting, PAP device on diagnostic mode can be used as an alternative tool for sleep apnea detection in acute stroke patients.
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Affiliation(s)
- Millene Rodrigues Camilo
- From the Department of Neurosciences and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo, Brazil
| | - Luís Artur Machado
- From the Department of Neurosciences and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo, Brazil
| | - Cristiane Menezes Castilho
- From the Department of Neurosciences and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo, Brazil
| | - Heidi Haueisen Sander
- From the Department of Neurosciences and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo, Brazil
| | - Alan Luiz Eckeli
- From the Department of Neurosciences and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo, Brazil
| | - Regina França Fernandes
- From the Department of Neurosciences and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo, Brazil
| | - Joao Pereira Leite
- From the Department of Neurosciences and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo, Brazil
| | - Octavio Marques Pontes-Neto
- From the Department of Neurosciences and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo, Brazil
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121
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Whyte A, Gibson D. Adult obstructive sleep apnoea: Pathogenesis, importance, diagnosis and imaging. J Med Imaging Radiat Oncol 2019; 64:52-66. [PMID: 31788980 DOI: 10.1111/1754-9485.12978] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 10/15/2019] [Indexed: 01/10/2023]
Abstract
Obstructive sleep apnoea (OSA) is a serious worldwide health problem. Moderate-to-severe OSA has been found in up to 50% of men and 25% of women in the middle-aged population. It results in a fourfold increase in all causes of mortality. The prevalence of OSA is underestimated, partly due to absence of symptoms but also lack of knowledge amongst the population at large as well as sectors of the medical profession. Imaging, performed predominantly by clinicians and research scientists, has been integral to evaluating the anatomical basis of OSA. Increased nasal resistance and a narrowed and elongated oropharynx lead to increased collapsibility of the upper airway, predisposing to airway collapse and apnoea during sleep when there is reduction in tone of the pharyngeal dilator muscles. Unfortunately, a significantly narrowed upper airway is usually ignored by radiologists: it is not part of their reporting 'check-list'. The imaging findings in the upper airway that are strongly associated with OSA and its sequelae in various organ systems are discussed. Imaging can strongly suggest OSA; the diagnosis requires a polysomnogram for confirmation. Treatment of moderate-to-severe disease is primarily with positive airway pressure applied by a nasal or oral mask which splints the upper airway. Although highly effective, compliance is limited and other treatment modalities are increasingly being utilized.
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Affiliation(s)
- Andy Whyte
- Perth Radiological Clinic, Perth, Western Australia, Australia.,University of Western Australia, Perth, Western Australia, Australia.,University of Melbourne, Melbourne, Victoria, Australia
| | - Daren Gibson
- Medical Imaging, Fiona Stanley Hospital, Perth, Western Australia, Australia
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122
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Yoon CW, Park HK, Bae EK, Rha JH. Sleep Apnea and Early Neurological Deterioration in Acute Ischemic Stroke. J Stroke Cerebrovasc Dis 2019; 29:104510. [PMID: 31767524 DOI: 10.1016/j.jstrokecerebrovasdis.2019.104510] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 10/03/2019] [Accepted: 10/28/2019] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND AND PURPOSE Evidence of an association between sleep apnea (SA) and early neurological deterioration (END) in acute phase ischemic stroke is scant. We investigated the prevalence of SA and the impact of SA severity on END in acute ischemic stroke (AIS) patients. METHODS We prospectively enrolled consecutive AIS patients admitted to our stroke unit within 72 hours of symptom onset. SA severity was assessed with ApneaLink-a validated portable respiratory monitor. SA was defined as an apnea-hypopnea index (AHI) of greater than or equal to 5 per hour. END was defined as an incremental increase in the National Institutes of Health Stroke Scale (NIHSS) score by greater than or equal to 1 point in motor power, or greater than or equal to 2 points in the total score within the first week after admission. RESULTS Of the 305 patients studied, 254 (83.3%) patients had SA (AHI ≥ 5 per hour), and of these, 114 (37.4%) had mild SA (AHI 5-14 per hour), 59 (19.3%) had moderate SA (AHI 15-29 per hour), and 81 (26.6%) had severe SA (AHI ≥ 30 per hour). Thirty-six (11.8%) patients experienced END: 2 of the 51 (3.9%) patients without SA and 34 of the 254 (14.4%) patients with SA. Multivariable regression analysis showed AHI independently predicted END (odds ratio 1.024; 95% confidence interval 1.006 to 1.042; P = .008). CONCLUSIONS SA is common in the acute phase of ischemic stroke, and SA severity is associated with the risk of END.
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Affiliation(s)
- Cindy W Yoon
- Department of Neurology, Inha University School of Medicine, Incheon, Republic of Korea.
| | - Hee-Kwon Park
- Department of Neurology, Inha University School of Medicine, Incheon, Republic of Korea
| | - Eun-Kee Bae
- Department of Neurology, Inha University School of Medicine, Incheon, Republic of Korea
| | - Joung-Ho Rha
- Department of Neurology, Inha University School of Medicine, Incheon, Republic of Korea.
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123
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Aribisala BS, Riha RL, Valdes Hernandez M, Muñoz Maniega S, Cox S, Radakovic R, Taylor A, Pattie A, Corley J, Redmond P, Bastin ME, Starr J, Deary I, Wardlaw JM. Sleep and brain morphological changes in the eighth decade of life. Sleep Med 2019; 65:152-158. [PMID: 31706897 DOI: 10.1016/j.sleep.2019.07.015] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 07/03/2019] [Accepted: 07/09/2019] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Sleep is important for brain health. We analysed associations between usual sleep habits and magnetic resonance imaging (MRI) markers of neurodegeneration (brain atrophy), vascular damage (white matter hyperintensities, WMH) and waste clearance (perivascular spaces, PVS) in older community-dwelling adults. METHOD We collected self-reported usual sleep duration, quality and medical histories from the Lothian Birth Cohort 1936 (LBC1936) age 76 years and performed brain MRI. We calculated sleep efficiency, measured WMH and brain volumes, quantified PVS, and assessed associations between sleep measures and brain markers in multivariate models adjusted for demographic and medical history variables. RESULTS In 457 subjects (53% males, mean age 76 ± 0.65 years), we found: brain and white matter loss with increased weekend daytime sleep (β = -0.114, P = 0.03; β = -0.122, P = 0.007 respectively), white matter loss with less efficient sleep (β = 0.132, P = 0.011) and PVS increased with interrupted sleep (OR 1.84 95% CI, P = 0.025). CONCLUSION Cross-sectional associations of sleep parameters with brain atrophy and more PVS suggest adverse relationships between usual sleep habits and brain health in older people that should be evaluated longitudinally.
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Affiliation(s)
- Benjamin S Aribisala
- Brain Research Imaging Centre, Division of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE), UK; Department of Computer Science, Lagos State University, Lagos, Nigeria
| | - Renata L Riha
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Sleep Medicine, Royal Infirmary of Edinburgh, NHS Lothian, UK
| | - Maria Valdes Hernandez
- Brain Research Imaging Centre, Division of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE), UK
| | - Susana Muñoz Maniega
- Brain Research Imaging Centre, Division of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE), UK
| | - Simon Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ratko Radakovic
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK; Faculty of Health and Medical Sciences, University of East Anglia, Norwich, UK; Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Adele Taylor
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Alison Pattie
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Janie Corley
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Paul Redmond
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Mark E Bastin
- Brain Research Imaging Centre, Division of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE), UK
| | - John Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Ian Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK; Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Joanna M Wardlaw
- Brain Research Imaging Centre, Division of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE), UK; UK Dementia Research Institute, University of Edinburgh, UK.
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124
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Román GC, Jackson RE, Fung SH, Zhang YJ, Verma AK. Sleep-Disordered Breathing and Idiopathic Normal-Pressure Hydrocephalus: Recent Pathophysiological Advances. Curr Neurol Neurosci Rep 2019; 19:39. [PMID: 31144048 PMCID: PMC6541578 DOI: 10.1007/s11910-019-0952-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Purpose of Review Idiopathic normal-pressure hydrocephalus (iNPH) is characterized clinically by ventriculomegaly, abnormal gait, falls, incontinence, and cognitive decline. This article reviews recent advances in the pathophysiology of iNPH concerning sleep-disordered breathing (SDB) and glymphatic circulation during deep sleep. Recent Findings The authors found iNPH frequently associated with obstructive sleep apnea (OSA). A critical factor in iNPH is intracranial venous hypertension delaying drainage of cerebrospinal fluid (CSF) into the cerebral venous sinuses. CSF-venous blood circulates in the jugular veins and finally drains into the heart. During SDB, repeated reflex attempts to breathe induce strong respiratory efforts against a closed glottis thereby increasing the negative intrathoracic pressure. This causes atrial distortion and decreases venous return to the heart resulting in retrograde intracranial venous hypertension. Additionally, repeated awakenings from OSA impede sleep-associated circulation of interstitial CSF into the glymphatic circulation contributing to hydrocephalus. Summary Sleep has become a critical element in the cognitive changes of aging including iNPH.
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Affiliation(s)
- Gustavo C Román
- Department of Neurology, Methodist Neurological Institute and Houston Methodist Hospital Research Institute for Academic Medicine, Houston, TX, USA. .,Department of Neurology, Weill Cornell Medical College, Cornell University, New York, NY, USA.
| | - Robert E Jackson
- Department of Medicine, Houston Methodist Hospital and Houston Research Institute for Academic Medicine, Houston, TX, USA.,Department of Medicine, Weill Cornell Medical College, Cornell University, New York, NY, USA
| | - Steve H Fung
- Department of Radiology MRI Core, Houston Methodist Hospital and Methodist Research Institute for Academic Medicine, Houston, TX, USA.,Department of Radiology Weill Cornell Medical College, Cornell University, New York, NY, USA
| | - Y Jonathan Zhang
- Department of Neurosurgery, Methodist Neurological Institute and Houston Methodist Hospital Research Institute for Academic Medicine, Houston, TX, USA.,Department of Neurosurgery, Weill Cornell Medical College, Cornell University, New York, NY, USA
| | - Aparajitha K Verma
- Department of Neurology, Methodist Neurological Institute and Houston Methodist Hospital Research Institute for Academic Medicine, Houston, TX, USA.,Department of Neurology, Weill Cornell Medical College, Cornell University, New York, NY, USA.,Sleep Laboratory Houston Methodist Hospital, Houston, TX, USA
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Bassetti CLA. Sleep and stroke: A bidirectional relationship with clinical implications. Sleep Med Rev 2019; 45:127-128. [PMID: 31080163 DOI: 10.1016/j.smrv.2019.04.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Accepted: 04/03/2019] [Indexed: 11/19/2022]
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126
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Bochkarev MV, Korostovtseva LS, Medvedeva EA, Rotar OP, Sviryaev YV, Zhernakova YV, Shalnova SA, Konradi AO, Chazova IE, Boitsov SA, Shlyakhto EV. Sleep disorders and stroke: data of the esse-rf study. Zh Nevrol Psikhiatr Im S S Korsakova 2019; 119:73-80. [DOI: 10.17116/jnevro201911904273] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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