Susta Marek, Šonka Karel, Bizik Gustav, Petranek Svojmil, Nevsimalova Sona
Department of Public Health, St. Elisabeth University, Bratislava, Slovakia.
Department of Neurology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czechia.
Front Neurol. 2022 Jun 10;13:902637. doi: 10.3389/fneur.2022.902637. eCollection 2022.
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.
Forty-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.
The 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.
Even 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.
常用的疾病评估方法侧重于患者的实际状况，并辅以过去事件和病情的二元记录。本研究项目旨在解释受临床症状和合并症影响的特发性嗜睡症（IH）患者的主观体验。
对43例男女IH患者（女性占60.5%，男性占39.5%）进行详细的结构化检查评估。访谈涵盖神经科、精神科和内科病史、过去和当前用药情况、药物滥用、工作障碍、详细的睡眠相关数据、特定的助眠药物，以及一整套问卷，包括抑郁、生活质量、嗜睡、焦虑、疲劳、失眠和睡眠惰性。数据被数字化并导入统计软件（IBM公司的SPSS），并使用动态模拟软件（Ventana Systems Inc.公司的Vensim）构建因果循环图和存量与流量图作为模拟结构。
总体原始数据与基于模拟的模式拟合度为76.1%。模拟结果还确定了对患者主观体验贡献最大的参数。这些参数包括睡眠惰性、小睡的提神潜力、夜间睡眠质量以及患者生活的社会方面。精神障碍对总体模式的影响出奇地低。已对药物的影响进行了详细研究。尽管其对动态变化的贡献乍一看似乎微不足道，但它显著影响其他变量对患者整体疾病体验的贡献。
即使是研究团队设计的简化动态结构，也能在76.1%的可接受水平上反映IH患者的现实生活情况，并表明类似结构在疾病过程中发挥着重要作用。针对模型确定的参数进行治疗，应能在整个病程中增强患者的主观体验，甚至可能使病情发展从消极转为积极。需要进一步研究以更详细地了解特发性嗜睡症的动态变化，从而更好地理解病因并设计治疗方法以改善患者生活质量。
