A systematic analysis of ICSD-3 diagnostic criteria and proposal for further structured iteration

Gauld, Christophe; Lopez, Régis; Geoffroy, Pierre A.; Morin, Charles M.; Guichard, Kelly; Giroux, Élodie; Dauvilliers, Yves; Dumas, Guillaume; Philip, Pierre; Micoulaud-Franchi, Jean-Arthur

doi:10.1016/j.smrv.2021.101439

Cited by 43 publications

(41 citation statements)

References 37 publications

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“…Nevertheless, as the ICSD diagnostic criteria will evolve, symptoms criteria are needed for these sleep disorder categories and could be easily included later. Moreover, the other diagnostic criteria isolated in a previous article (especially “Objective marker”, “Distress”, “Disability”) are not considered in the network (Gauld et al, 2021), as proposed by Borsboom et al ., who suggested focussing on “Clinical manifestations” (Borsboom et al, 2011). “Distress” diagnostic criteria, which could be close to sleep PROMs, could be interesting to integrate in further network analysis.…”

Section: Discussionmentioning

confidence: 99%

Symptom network analysis of the sleep disorders diagnostic criteria based on the clinical text of the ICSD‐3

Gauld

Lopez

Morin

et al. 2021

Journal of Sleep Research

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Summary The third edition of the International Classification of Sleep Disorders (ICSD‐3) is the authoritative clinical text for the diagnosis of sleep disorders. An important issue of sleep nosology is to better understand the relationship between symptoms found in conventional diagnostic manuals and to compare classifications. Nevertheless, to our knowledge, there is no specific exhaustive work on the general structure of the networks of symptoms of sleep disorders as described in diagnostic manuals. The general aim of the present study was to use symptom network analysis to explore the diagnostic criteria in the ICSD‐3 manual. The ICSD‐3 diagnostic criteria related to clinical manifestations were systematically identified, and the units of analysis (symptoms) were labelled from these clinical manifestation diagnostic criteria using three rules (“Conservation”, “Splitting”, “Lumping”). A total of 37 of the 43 main sleep disorders with 160 units of analysis from 114 clinical manifestations in the ICSD‐3 were analysed. A symptom network representing all individual ICSD‐3 criteria and connections between them was constructed graphically (network estimation), quantified with classical metrics (network inference with global and local measures) and tested for robustness. The global measure of the sleep symptoms network shows that it can be considered as a small world, suggesting a strong interconnection between symptoms in the ICSD‐3. Local measures show the central role of three kinds of bridge sleep symptoms: daytime sleepiness, insomnia, and behaviour during sleep symptoms. Such a symptom network analysis of the ICSD‐3 structure could provide a framework for better systematising and organising symptomatology in sleep medicine.

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Section: Discussionmentioning

confidence: 99%

Symptom network analysis of the sleep disorders diagnostic criteria based on the clinical text of the ICSD‐3

Gauld

Lopez

Morin

et al. 2021

Journal of Sleep Research

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“…This neurobiological system has been described in multiple human biological samples, including the brain [ 1 , 2 , 6 – 11 ], suggesting its role on the regulation of a broad neurobiological processes such as the sleep–wake cycle [ 12 – 15 , 49 – 58 ], which is also driven by a variety of neuroanatomical brain areas, neurochemicals, and circadian and homeostatic factors [ 16 – 26 ]. On the other hand, the sleep disorders are the pathological feature of sleep patterns described by the International Classification of Sleep Disorders [ 27 ], including insomnia and sleep-related breathing disorders, such as OSA.…”

Section: Discussionmentioning

confidence: 99%

“…The sleep–wake cycle, as many other physiological phenomena, shows aberrant features that have been characterized as sleep disorders [ 27 ]. According to the International Classification of Sleep Disorders, several pathological patterns of the sleep have been classified in multiple Axis in which insomnia, central disorders of hypersomnolence, and many others are included.…”

Section: The Sleep–wake Cyclementioning

confidence: 99%

The Endocannabinoid System as Prognostic Biomarker of the Obstructive Sleep Apnea Morbidity in COVID-19-Recovered Individuals

Murillo-Rodrı́guez

2021

Sleep Vigilance

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The endocannabinoid system is a neurobiological signaling network that is present in the human biological systems, including the brain. This neurobiological system comprises cannabinoid receptors, endogenous ligands, as well as enzymatic synthesis, degradation and transport of endocannabinoids and has been suggested as a modulator of multiple physiological processes, including the sleep–wake cycle. On the other hand, the COVID-19 pandemic, originated by the novel coronavirus SARS-CoV-2, has caused global catastrophes in economic, social, and health spheres. COVID-19 is a multi-organ disease with a broad spectrum of health complications, such as respiratory infections leading to respiratory-related symptoms and disorders. The development, approval, and application of vaccines against SARS-CoV-2 is ongoing; however, there are increasing reports of prolonged effects after COVID-19 infection, including respiratory and neurological sequelae. Here, I provide a comprehensive review of the current literature on the endocannabinoid system and their role in sleep modulation. Whilst I discuss relevant considerations for the high risk for developing sleep disorders related to respiratory failures, such as obstructive sleep apnea (OSA) in recovered COVID-19-infected subjects. Finally, I propose a framework that integrates the analysis of the components of the endocannabinoid system as prognostic biomarkers of the likely OSA after COVID-19 infection.

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“…Nevertheless, most medical disciplines have experienced considerable difficulty in providing a single definition of a disorder that is useful, reliable and valid (Gauld, Lopez, & Geoffroy, 2021); hence, the need to call upon research diagnostic criteria (Lavigne, Rompré, Montplaisir, 1996;Spitzer, Endicott, & Robins, 1978). Such is the case with bruxism, a term that finds itself torn between two fields of clinical practice and research: sleep medicine and dental medicine.…”

mentioning

confidence: 99%

“…In the field of sleep medicine, recent systematic analysis (Gauld et al, 2021) on what constitutes a "sleep disorder" in the International Classification of Sleep Disorders, third edition (ICSD-3) (American Academy of Sleep Medicine, 2014) showed that it can be conceptualised according to the HDA framework (Wakefield, 1992).…”

mentioning

confidence: 99%

Sleep bruxism pulled between two worlds

d’Incau

Gauld

Philip

et al. 2021

Journal of Sleep Research

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A systematic analysis of ICSD-3 diagnostic criteria and proposal for further structured iteration

Cited by 43 publications

References 37 publications

Symptom network analysis of the sleep disorders diagnostic criteria based on the clinical text of the ICSD‐3

Symptom network analysis of the sleep disorders diagnostic criteria based on the clinical text of the ICSD‐3

The Endocannabinoid System as Prognostic Biomarker of the Obstructive Sleep Apnea Morbidity in COVID-19-Recovered Individuals

Sleep bruxism pulled between two worlds

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