The Hypersomnia Severity Index: reliability, construct, and criterion validity in a clinical sample of patients with sleep disorders

Fernández-Mendoza, Julio; Puzino, Kristina; Amatrudo, Gregory; Bourchtein, Elizaveta; Calhoun, Susan L.; Plante, David T.; Kaplan, Katherine A.

doi:10.5664/jcsm.9426

Cited by 13 publications

(2 citation statements)

References 19 publications

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“…To overcome this issue, the idiopathic hypersomnia severity scale (IHSS) (56) and the hypersomnia severity index (HSI) (57) were developed almost simultaneously at the end of the 2010s to assess the whole spectrum of hypersomnolence and its functional consequences. They have demonstrated excellent psychometric properties (58,59) so they could be widely used to assess hypersomnolence in both clinical practice and randomized controlled trials (60).…”

Section: Main Sleepiness Assessment Toolsmentioning

confidence: 99%

Sleepiness in adults: An umbrella review of a complex construct

Martin¹,

Lopez²,

Dauvilliers³

et al. 2023

Sleep Medicine Reviews

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Section: Main Sleepiness Assessment Toolsmentioning

confidence: 99%

Sleepiness in adults: An umbrella review of a complex construct

Martin¹,

Lopez²,

Dauvilliers³

et al. 2023

Sleep Medicine Reviews

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“…In general, the experience is also influenced by other diseases, both psychiatric and somatic. The issue of the validity of patient testimony has been addressed in many papers (9,10), and in general, tools based on the personal testimony of patients are considered reliable. In addition, our project was, without exception, a re-evaluation of the diagnosis in patients whose clinical status was known throughout the time since diagnosis.…”

Section: Introductionmentioning

confidence: 99%

Idiopathic Hypersomnia—A Dynamic Simulation Model

et al. 2022

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Aims of the study:Commonly used approach to illness assessment focuses on the patient's actual state supplemented by binary records of past events and conditions. This research project was designed to explain subjective experience in idiopathic hypersomnia (IH) patients influenced by their clinical symptoms and comorbidities.Material and MethodsForty-three IH patients of both sexes (female 60.5%, male 39.5%) were assessed using a detailed structured examination. The interview covered neurologic, psychiatric, and internal medicine anamnesis, medication past and current, substance abuse, work impairment, detailed sleep-related data, specific sleep medication, and a full-length set of questionnaires including depression, quality of life, sleepiness, anxiety, fatigue, insomnia, and sleep inertia. The data were digitized and imported into statistical software (SPSS by IBM), and dynamic simulation software (Vensim by Ventana Systems Inc.) was used to build a causal loop diagram and stocks and flows diagram as a simulation structure.ResultsThe overall raw data and simulation-based patterns fit at 76.1%. The simulation results also identified the parameters that contribute the most to patients' subjective experience. These included sleep inertia, the refreshing potential of naps, the quality of nocturnal sleep, and the social aspects of the patient's life. Psychiatric disorders influence the overall pattern at a surprisingly low level. The influence of medication has been studied in detail. Although its contribution to the dynamics looks marginal at first sight, it significantly influences the contribution of other variables to the overall patient experience of the disease.ConclusionEven the simplified dynamic structure designed by the research team reflects the real-life events in patients with IH at the acceptable level of 76.1% and suggests that a similar structure plays an important role in the course of the disease. Therapeutic focus on the parameters identified by the model should enhance the patients' subjective experience throughout illness duration and might even turn the progress from negative into positive. Further research is needed to understand the dynamics of idiopathic hypersomnia in greater detail to better understand the causes and design therapeutic approaches to improve patients' quality of life.

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