Peer-Reviewed Publication
Sleep Med2026;143108912.July 1, 2026Journal Article
Hypnogram-derived structured data reveal differences in sleep stage transition characteristics between high and low arousal threshold patients.
Junru Yu1, Qian Xu2, Ying Liu1, Yaxin Li1, Yueheng Yin1, Cuichun Cai3, Enfang Shan1, Yan Yang4, Dandan Wang5, Xianwen Li6, Shuzhen Niu7
1School of Nursing, Nanjing Medical University, Nanjing, Jiangsu, China.
2Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
3Department of Nursing, Jiangsu Province Geriatric Hospital, Nanjing, Jiangsu, China.
4Department of Nursing, Jiangsu Regard Care Senior Industry, Nanjing, Jiangsu, China.
5School of Nursing, Kangda College of Nanjing Medical University, Lianyungang, Jiangsu, China.
6School of Nursing, Nanjing Medical University, Nanjing, Jiangsu, China. Electronic address: xwli0201@njmu.edu.cn.
7School of Nursing, Nanjing Medical University, Nanjing, Jiangsu, China. Electronic address: niushuzhen@njmu.edu.cn.
Abstract
BACKGROUND: Arousal threshold (ArTH) is associated with disease severity and sleep stability, but conventional PSG metrics cannot capture dynamic stage transitions. Hypnogram-based analysis provides information on the temporal structure of sleep. How variations in ArTH phenotype affect sleep architecture and transition dynamics remains unclear.
METHODS: This retrospective study included 1792 pati…
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