Dikeos, Dimitris and Wichniak, Adam and Ktonas, Periklis Y. and Mikoteit, Thorsten and Croenlein, Tatjana and Eckert, Anne and Koprivova, Jana and Ntafouli, Maria and Spiegelhalder, Kai and Hatzinger, Martin and Riemann, Dieter and Soldatos, Constantin (2023) The potential of biomarkers for diagnosing insomnia: Consensus statement of the WFSBP Task Force on Sleep Disorders. WORLD JOURNAL OF BIOLOGICAL PSYCHIATRY, 24 (8). pp. 614-642. ISSN 1562-2975, 1814-1412
Full text not available from this repository. (Request a copy)Abstract
ObjectivesThus 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.MethodsA 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.ResultsThe 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.ConclusionsApart from psychometric instruments which are confirmed to be the gold standard in diagnosing insomnia, six biomarkers emerge as being potentially useful for this purpose.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | HEART-RATE-VARIABILITY; PITUITARY-ADRENAL AXIS; COGNITIVE-BEHAVIORAL THERAPY; EEG SPECTRAL-ANALYSIS; PROLONGED-RELEASE MELATONIN; C-REACTIVE PROTEIN; DYSFUNCTIONAL BELIEFS; NREM SLEEP; PSYCHOMETRIC PROPERTIES; SUBJECTIVE INSOMNIA; Insomnia; biomarkers; psychometrics; diagnostic accuracy; grading system |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Psychiatrie und Psychotherapie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 30 Apr 2024 10:01 |
| Last Modified: | 30 Apr 2024 10:01 |
| URI: | https://pred.uni-regensburg.de/id/eprint/60599 |
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