Natural course and potential prognostic factors for sleep-disordered breathing in multiple system atrophy

Ohshima, Yasuyoshi; Nakayama, Hideaki; Matsuyama, Naho; Hokari, Satoshi; Sakagami, Takuro; Sato, Tomoe; Koya, Toshiyuki; Kikuchi, Toshiaki; Nishizawa, Masatoyo; Shimohata, Takayoshi

doi:10.1016/j.sleep.2017.01.020

Cited by 22 publications

(7 citation statements)

References 31 publications

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“…Respiratory problems, including stridor, sleep-disordered breathing (e.g., obstructive sleep apnoea-OSA) and respiratory insufficiency, are known to occur in MSA [118]. Of these, stridor is part of the second consensus diagnostic criteria [3] and sleep apnea represents a major cause of death in MSA [127,128]. Nocturnal stridor and obstructive sleep apnea are the most common sleep-related breathing disorders in MSA patients [129].…”

Section: Respiratory Features In Msamentioning

confidence: 99%

An update on MSA: premotor and non-motor features open a window of opportunities for early diagnosis and intervention

et al. 2020

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In this review, we describe the wide clinical spectrum of features that can be seen in multiple system atrophy (MSA) with a focus on the premotor phase and the non-motor symptoms providing an up-to-date overview of the current understanding in this fast-growing field. First, we highlight the non-motor features at disease onset when MSA can be indistinguishable from pure autonomic failure or other chronic neurodegenerative conditions. We describe the progression of clinical features to aid the diagnosis of MSA early in the disease course. We go on to describe the levels of diagnostic certainty and we discuss MSA subtypes that do not fit into the current diagnostic criteria, highlighting the complexity of the disease as well as the need for revised diagnostic tools. Second, we describe the pathology, clinical description, and investigations of cardiovascular autonomic failure, urogenital and sexual dysfunction, orthostatic hypotension, and respiratory and REM-sleep behavior disorders, which may precede the motor presentation by months or years. Their presence at presentation, even in the absence of ataxia and parkinsonism, should be regarded as highly suggestive of the premotor phase of MSA. Finally, we discuss how the recognition of the broader spectrum of clinical features of MSA and especially the non-motor features at disease onset represent a window of opportunity for disease-modifying interventions.

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Section: Respiratory Features In Msamentioning

confidence: 99%

An update on MSA: premotor and non-motor features open a window of opportunities for early diagnosis and intervention

et al. 2020

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“…The detection of apnea in monitoring the respiration rate [4,9,10] and the detection of low sounds such as snoring [8] did not necessary require detection within the high-frequency segments. Typical sensors used in clinical practice included a snore sensor (Nihon Koden: TM-106A) attached to polysomnography [11], a film piezoelectric element [40], and a respiration rate-monitoring sensor (Masimo: Rad-87) [10] in which a vibration plate was attached to the inside of the sensor to detect skin surface vibrations. Both sensors are contact types and are currently being used for low-frequency segment signal detection.…”

Section: Observation Of Actual Respiratory Sound and Usefulness In CLmentioning

confidence: 99%

“…Auscultation of respiratory sounds has long been an important physical assessment technique for medical workers [1], and with the influx of recent technology, auscultated respiratory sounds for pneumonia [2], bronchial asthma [3], and sleep apnea syndrome [4] are being used for chronic obstructive pulmonary disease (CODP) [5,6] diagnosis, tidal volume estimation [7], snoring detection [8], and apnea detection [9]. Moreover, respiratory rate monitoring using respiratory sounds [10] and snoring sensors [11] has become plausible due to unique advantages such as being a non-invasive technique and being based on low-cost, high-performance microphones that readily available in the market. Although the above-mentioned methods using respiratory sounds have been extensively studied via signal processing [3][4][5][6][7][8][9], the outcomes of these analyses have not often been practically implemented.…”

Section: Introductionmentioning

confidence: 99%

Validation of a Body-Conducted Sound Sensor for Respiratory Sound Monitoring and a Comparison with Several Sensors

Joyashiki

Wada

2020

Sensors

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The ideal respiratory sound sensor exhibits high sensitivity, wide-band frequency characteristics, and excellent anti-noise properties. We investigated the body-conducted sound sensor (BCS) and verified its usefulness in respiratory sound monitoring through comparison with an air-coupled microphone (ACM) and acceleration sensor (B & K: 8001). We conducted four experiments for comparison: (1) estimation by equivalent circuit model of sensors and measurement by a sensitivity evaluation system; (2) measurement of tissue-borne sensitivity-to-air-noise sensitivity ratio (SRTA); (3) respiratory sound measurement through a simulator; and (4) actual respiratory sound measurement using human subjects. For (1), the simulation and measured values of all the sensors showed good agreement; BCS demonstrated sensitivity~10 dB higher than ACM and higher sensitivity in the high-frequency segments compared with 8001. In (2), BCS showed high SRTA in the 600-1000 and 1200-2000-Hz frequency segments. In (3), BCS detected wheezes in the high-frequency segments of the respiratory sound. Finally, in (4), the sensors showed similar characteristics and features in the high-frequency segments as the simulators, where typical breathing sound detection was possible. BCS displayed a higher sensitivity and anti-noise property in high-frequency segments compared with the other sensors and is a useful respiratory sound sensor.

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“…MSA affects sleep in several ways: sleep-disordered breathing ( 67 ), sleep fragmentation, REM sleep behavior disorder, insomnia, and excessive daytime sleepiness ( 68 ). In addition, sleep study (polysomnography) are included in a list of useful tools for differential diagnosis of MSA ( 69 ).…”

Section: Movement Disorders and Rating Scalesmentioning

confidence: 99%

Rating Scales for Movement Disorders With Sleep Disturbances: A Narrative Review

et al. 2018

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Introduction: In recent years, a wide variety of rating scales and questionnaires for movement disorders have been developed and published, making reviews on their contents, and attributes convenient for the potential users. Sleep disorders are frequently present in movement disorders, and some movement disorders are accompanied by specific sleep difficulties.Aim: The aim of this study is to perform a narrative review of the most frequently used rating scales for movement disorders with sleep problems, with special attention to those recommended by the International Parkinson and Movement Disorders Society.Methods: Online databases (PubMed, SCOPUS, Web of Science, Google Scholar), related references from papers and websites and personal files were searched for information on comprehensive or global rating scales which assessed sleep disturbances in the following movement disorders: akathisia, chorea, dystonia, essential tremor, myoclonus, multiple system atrophy, Parkinson's disease, progressive supranuclear palsy, and tics and Tourette syndrome. For each rating scale, its objective and characteristics, as well as a summary of its psychometric properties and recommendations of use are described.Results: From 22 rating scales identified for the selected movement disorders, only 5 included specific questions on sleep problems. Movement Disorders Society-Unified Parkinson's Disease Rating scale (MDS-UPDRS), Non-Motor Symptoms Scale and Questionnaire (NMSS and NMSQuest), Scales for Outcomes in Parkinson's Disease (SCOPA)-Autonomic and Progressive Supranuclear Palsy Rating Scale (PSPRS) were the only rating scales that included items for assessing sleep disturbances.Conclusions: Despite sleep problems are frequent in movement disorders, very few of the rating scales addresses these specific symptoms. This may contribute to an infra diagnosis and mistreatment of the sleep problems in patients with movement disorders.

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Natural course and potential prognostic factors for sleep-disordered breathing in multiple system atrophy

Cited by 22 publications

References 31 publications

An update on MSA: premotor and non-motor features open a window of opportunities for early diagnosis and intervention

An update on MSA: premotor and non-motor features open a window of opportunities for early diagnosis and intervention

Validation of a Body-Conducted Sound Sensor for Respiratory Sound Monitoring and a Comparison with Several Sensors

Rating Scales for Movement Disorders With Sleep Disturbances: A Narrative Review

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