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      Accuracy of Actigraphy Compared to Concomitant Ambulatory Polysomnography in Narcolepsy and Other Sleep Disorders

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          Abstract

          Actigraphy provides longitudinal sleep data over multiple nights. It is a less expensive and less cumbersome method for measuring sleep than polysomnography. Studies assessing accuracy of actigraphy compared to ambulatory polysomnography in different sleep-disordered patients are rare. We aimed to compare the concordance between these methods in clinical setting. We included 290 clinical measurements of 281 sleep laboratory patients (mean age 37.9 years, 182 female). Concomitant ambulatory polysomnography and actigraphy were analyzed to determine the agreement in patients with obstructive sleep apnea, narcolepsy, periodic leg movement disorder, hypersomnia, other rarer sleep disorders, or no organic sleep disorder. Bland-Altman plots showed excellent accuracy, but poor precision in single night results between the two methods in the measurement of sleep time, sleep efficiency, and sleep latency. On average, actigraphy tended to overestimate sleep time by a negligible amount, −0.13 min, 95% confidence interval [−5.9, 5.6] min in the whole sample. Overestimation was largest, −12.8 [−25.1, −0.9] min, in patients with obstructive sleep apnea. By contrast, in patients with narcolepsy, actigraphy tended to underestimate sleep time by 24.3 [12.4, 36.1] min. As for sleep efficiency, actigraphy underestimated it by 0.18 [−0.99, 1.35] % and sleep latency by 11.0 [8.5, 13.6] min compared to polysomnography. We conclude that, in measuring sleep time, actigraphy is reasonably reliable and helpful to be used for a week or two to exclude insufficient sleep in patients with the suspicion of narcolepsy. However, the effectiveness of actigraphy in determining sleep seems to decrease in subjects with low sleep efficiencies.

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          Most cited references36

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          STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT

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            A Concordance Correlation Coefficient to Evaluate Reproducibility

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              Understanding Bland Altman analysis

              In a contemporary clinical laboratory it is very common to have to assess the agreement between two quantitative methods of measurement. The correct statistical approach to assess this degree of agreement is not obvious. Correlation and regression studies are frequently proposed. However, correlation studies the relationship between one variable and another, not the differences, and it is not recommended as a method for assessing the comparability between methods.
In 1983 Altman and Bland (B&A) proposed an alternative analysis, based on the quantification of the agreement between two quantitative measurements by studying the mean difference and constructing limits of agreement.
The B&A plot analysis is a simple way to evaluate a bias between the mean differences, and to estimate an agreement interval, within which 95% of the differences of the second method, compared to the first one, fall. Data can be analyzed both as unit differences plot and as percentage differences plot.
The B&A plot method only defines the intervals of agreements, it does not say whether those limits are acceptable or not. Acceptable limits must be defined a priori, based on clinical necessity, biological considerations or other goals.
The aim of this article is to provide guidance on the use and interpretation of Bland Altman analysis in method comparison studies.
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                Author and article information

                Contributors
                Journal
                Front Neurol
                Front Neurol
                Front. Neurol.
                Frontiers in Neurology
                Frontiers Media S.A.
                1664-2295
                04 March 2021
                2021
                : 12
                : 629709
                Affiliations
                [1] 1Department of Clinical Neurophysiology, HUS Medical Imaging Center, Helsinki University Hospital, University of Helsinki , Helsinki, Finland
                [2] 2Faculty of Medicine and Health Technology, Tampere University , Tampere, Finland
                [3] 3Department Neurology and Rehabilitation, Tampere University Hospital , Tampere, Finland
                [4] 4Department of Neurology, Helsinki Sleep Clinic, Vitalmed Research Center , Helsinki, Finland
                [5] 5Department of Clinical Neurosciences, Clinicum, University of Helsinki , Helsinki, Finland
                Author notes

                Edited by: Ivana Rosenzweig, King's College London, United Kingdom

                Reviewed by: Sona Nevsimalova, Charles University, Czechia; Rexford Muza, Guy's and St Thomas' NHS Foundation Trust, United Kingdom

                This article was submitted to Sleep Disorders, a section of the journal Frontiers in Neurology

                Article
                10.3389/fneur.2021.629709
                7969975
                33746882
                9b225d2e-63f2-4216-a420-551facc980e2
                Copyright © 2021 Alakuijala, Sarkanen, Jokela and Partinen.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 15 November 2020
                : 20 January 2021
                Page count
                Figures: 4, Tables: 4, Equations: 0, References: 36, Pages: 9, Words: 6693
                Categories
                Neurology
                Original Research

                Neurology
                actimetry,sleep quantity,diagnostics,central disorders of hypersomnolence,insufficient sleep

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