活动记录
多导睡眠图
失眠症
金标准(测试)
心理学
医学
脑电图
神经科学
物理医学与康复
精神科
内科学
作者
Dimitris Dikeos,Adam Wichniak,P.Y. Ktonas,Thorsten Mikoteit,Tatjana Crönlein,Anne Eckert,Jana Kopřivová,Maria Ntafouli,Kai Spiegelhalder,Martin Hatzinger,Dieter Riemann,Constantin R. Soldatos
标识
DOI:10.1080/15622975.2023.2171479
摘要
Objectives Thus far, the diagnosis of insomnia is based on purely clinical criteria. Although a broad range of altered physiological parameters has been identified in insomniacs, the evidence to establish their diagnostic usefulness is very limited. Purpose of this WFSBP Task Force consensus paper is to systematically evaluate a series of biomarkers as potential diagnostic tools for insomnia.Methods A newly created grading system was used for assessing the validity of various measurements in establishing the diagnosis of insomnia; these measurements originated from relevant studies selected and reviewed by experts.Results The measurements with the highest diagnostic performance were those derived from psychometric instruments. Biological measurements which emerged as potentially useful diagnostic instruments were polysomnography-derived cyclic alternating pattern, actigraphy, and BDNF levels, followed by heart rate around sleep onset, deficient melatonin rhythm, and certain neuroimaging patterns (mainly for the activity of frontal and pre-frontal cortex, hippocampus and basal ganglia); yet, these findings need replication, as well as establishment of commonly accepted methodology and diagnostic cut-off points. Routine polysomnography, EEG spectral analysis, heart rate variability, skin conductance, thermoregulation, oxygen consumption, HPA axis, and inflammation indices were not shown to be of satisfactory diagnostic value.Conclusions Apart from psychometric instruments which are confirmed to be the gold standard in diagnosing insomnia, six biomarkers emerge as being potentially useful for this purpose.
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