Gauld Christophe, Martin Vincent P, Richaud Alexandre, Baillieul Sébastien, Vicente Lucie, Perromat Jean-Lorrain, Zreik Issa, Taillard Jacques, Geoffroy Pierre Alexis, Lopez Régis, Micoulaud-Franchi Jean-Arthur
Service Psychopathologie du Développement de l'Enfant et de l'Adolescent, Hospices Civils de Lyon & Université de Lyon 1, 69500 Bron, France.
Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS & Université Claude Bernard Lyon 1, 69500 Bron, France.
J Clin Med. 2023 Jan 20;12(3):852. doi: 10.3390/jcm12030852.
Sleep disorders are defined on the basis of diagnostic criteria presented in medical classifications. However, no consensus has emerged on the exact list of operational symptoms that should be systematically investigated in the field of sleep medicine. We propose a systematic analysis of sleep symptoms that figure in a set of self-reported multiple sleep disorder screening questionnaires for adult populations, to identify the content overlap of symptoms that probe the presence of central sleep symptoms, and to highlight the potential level of heterogeneity among sleep disorder questionnaires. The method comprises three steps: (i) the selection of self-reported multiple sleep disorder screening questionnaires; (ii) item extraction and selection; (iii) the extraction of symptoms from items. Frequency of sleep symptoms and content overlap (Jaccard Index) are analyzed. We extracted 469 items that provide 60 different symptoms from 12 questionnaires. Insomnia, somnolence, and sleep-related breathing symptoms were found in all the questionnaires. The mean overlap among all questionnaires evaluated with the Jaccard Index is 0.44, i.e., moderate similarity. Despite limitations related to the selection of questionnaires and the symptom extraction and harmonization, this study underlines the need to standardize sleep symptom contents for sleep medicine in order to enhance the practicability, reliability, and validity of sleep disorder diagnoses.
睡眠障碍是根据医学分类中提出的诊断标准来定义的。然而，对于睡眠医学领域应系统调查的确切操作症状清单，尚未达成共识。我们建议对一组针对成年人群的自我报告式多种睡眠障碍筛查问卷中的睡眠症状进行系统分析，以确定探查中枢性睡眠症状存在的症状内容重叠情况，并突出睡眠障碍问卷之间潜在的异质性水平。该方法包括三个步骤：（i）选择自我报告式多种睡眠障碍筛查问卷；（ii）项目提取与选择；（iii）从项目中提取症状。分析睡眠症状的频率和内容重叠情况（杰卡德指数）。我们从12份问卷中提取了469个项目，这些项目提供了60种不同的症状。所有问卷中均发现了失眠、嗜睡和与睡眠相关的呼吸症状。用杰卡德指数评估的所有问卷之间的平均重叠率为0.44，即中等相似度。尽管在问卷选择以及症状提取与统一方面存在局限性，但本研究强调了为睡眠医学规范睡眠症状内容的必要性，以提高睡眠障碍诊断的实用性、可靠性和有效性。
