Temporal and sleep stage-dependent agreement in manual scoring of respiratory events.

IF 3.4 3区 医学 Q2 CLINICAL NEUROLOGY
Minna Pitkänen, Henna Pitkänen, Rajdeep Kumar Nath, Sami Nikkonen, Samu Kainulainen, Henri Korkalainen, Kristín Anna Ólafsdóttir, Erna Sif Arnardottir, Sigridur Sigurdardottir, Thomas Penzel, Francesco Fanfulla, Ulla Anttalainen, Tarja Saaresranta, Ludger Grote, Jan Hedner, Richard Staats, Juha Töyräs, Timo Leppänen
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Abstract

Obstructive sleep apnea diagnosis is based on the manual scoring of respiratory events. The agreement in the manual scoring of the respiratory events lacks an in-depth investigation as most of the previous studies reported only the apnea-hypopnea index or overall agreement, and not temporal, second-by-second or event subtype agreement. We hypothesized the temporal and subtype agreement to be low because the event duration or subtypes are not generally considered in current clinical practice. The data comprised 50 polysomnography recordings scored by 10 experts. The respiratory event agreement between the scorers was calculated using kappa statistics in a second-by-second manner. Obstructive sleep apnea severity categories (no obstructive sleep apnea/mild/moderate/severe) were compared between scorers. The Fleiss' kappa value for binary (event/no event) respiratory event scorings was 0.32. When calculated separately within N1, N2, N3 and R, the Fleiss' kappa values were 0.12, 0.23, 0.22 and 0.23, respectively. Binary analysis conducted separately for the event subtypes showed the highest Fleiss' kappa for hypopneas to be 0.26. In 34% of the participants, the obstructive sleep apnea severity category was the same regardless of the scorer, whereas in the rest of the participants the category changed depending on the scorer. Our findings indicate that the agreement of manual scoring of respiratory events depends on the event type and sleep stage. The manual scoring has discrepancies, and these differences affect the obstructive sleep apnea diagnosis. This is an alarming finding, as ultimately these differences in the scorings affect treatment decisions.

人工评分呼吸事件的时间和睡眠阶段一致性。
阻塞性睡眠呼吸暂停的诊断基于呼吸事件的人工评分。由于之前的大多数研究仅报告了呼吸暂停-低通气指数或总体一致性,而未报告时间、逐秒或事件亚型的一致性,因此缺乏对呼吸事件人工评分一致性的深入研究。我们推测时间和亚型的一致性较低,因为在目前的临床实践中,事件持续时间或亚型通常不被考虑。数据包括由 10 位专家评分的 50 份多导睡眠图记录。评分者之间的呼吸事件一致性采用卡帕统计法逐秒计算。对评分者之间的阻塞性睡眠呼吸暂停严重程度类别(无阻塞性睡眠呼吸暂停/轻度/中度/重度)进行了比较。二元(事件/无事件)呼吸事件评分的弗莱斯卡帕值为 0.32。分别计算 N1、N2、N3 和 R 时,弗莱斯卡帕值分别为 0.12、0.23、0.22 和 0.23。对事件亚型分别进行的二元分析表明,低通气的弗莱斯卡帕值最高,为 0.26。在 34% 的参与者中,无论评分者是谁,阻塞性睡眠呼吸暂停的严重程度类别都是相同的,而在其他参与者中,类别则会随着评分者的不同而改变。我们的研究结果表明,呼吸事件人工评分的一致性取决于事件类型和睡眠阶段。人工评分存在差异,这些差异会影响阻塞性睡眠呼吸暂停的诊断。这是一个令人担忧的发现,因为这些评分差异最终会影响治疗决策。
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来源期刊
Journal of Sleep Research
Journal of Sleep Research 医学-临床神经学
CiteScore
9.00
自引率
6.80%
发文量
234
审稿时长
6-12 weeks
期刊介绍: The Journal of Sleep Research is dedicated to basic and clinical sleep research. The Journal publishes original research papers and invited reviews in all areas of sleep research (including biological rhythms). The Journal aims to promote the exchange of ideas between basic and clinical sleep researchers coming from a wide range of backgrounds and disciplines. The Journal will achieve this by publishing papers which use multidisciplinary and novel approaches to answer important questions about sleep, as well as its disorders and the treatment thereof.
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