Psoriasis may affect patients’ sleep. In order to examine this relationship, this study evaluated non-anxious and non-depressive patients with moderate to severe psoriasis before and after 6 months of systemic treatment. A prospective case-control study with 46 consecutive patients (mean age 51.1 ± 12.8 years, 18 women) and 24 age-, sex- and body mass index-matched controls (mean age 46.5 ± 15.4 years, 12 women) was conducted to assess sleep using both sleep questionnaires and actigraphy. Of psoriatic patients, 91.3% were poor sleepers, and 65.2% of the psoriatic patients presented insomnia symptoms, compared with 54.2% and 33.3% of the control group (p < 0.001, p = 0.02, respectively). Actigraphy showed that Total Sleep Time was shorter in patients, while 82.6% of the psoriatic patients had poor Sleep Efficiency, compared with controls (p = 0.004, p = 0.03, respectively). Patients’ quality of life was associated with sleep disturbance (p < 0.001), and pruritus was negatively correlated with sleep duration (p < 0.001). After 6 months of treatment, patients’ sleep pattern, according to actigraphy, had not changed significantly; however, they had insomnia for no longer than the control group (p = 0.65), whereas the above-mentioned correlations were non-significant after treatment. Psoriatic insomnia was improved after 6 months of systemic treatment. Actigraphy may be used as an objective tool to evaluate sleep in these patients.

We report a thirty-six-year-old woman with intellectual disability who was referred for evaluation of suspected obstructive sleep apnea. The initial clinical impression suggested a syndromic case, so comprehensive genetic testing was undertaken. Overnight polysomnography revealed a severe rapid eye movement–predominant obstructive sleep apnea syndrome with an apnea–hypopnea index of 31.9 events per hour, rapid eye movement apnea–hypopnea index of 113.8 events per hour, and lowest oxygen saturation of 66%. Treatment with continuous positive airway pressure improved respiratory and sleep quality indices and was well tolerated. Whole-exome sequencing identified a de novo splice site variant in the pleckstrin homology domain interacting protein gene (c.41-1G > A), confirming a molecular diagnosis of Chung–Jansen Syndrome. Chung–Jansen syndrome is a rare neurodevelopmental disorder caused by heterozygous pathogenic variants in the pleckstrin homology domain interacting protein gene, marked by developmental delay, intellectual disability, behavioral abnormalities, dysmorphism, and progressive obesity. PHIP influences central and peripheral pathways controlling satiety, pancreatic function, and body weight. Despite frequent reports of sleep problems, systematic evaluation of sleep-disordered breathing has been limited. This adult case provides the first polysomnographic confirmation in the syndrome, supporting proactive screening for obstructive sleep apnea—especially in those with obesity. Integrating genetic assessment into sleep care can reduce diagnostic delays and better guide therapy and prognosis.

Introduction: Healthcare professionals face irregular work schedules and sleep disruption. Identifying sleep–function phenotypes may support early prevention and occupational performance. Methods: Exploratory, cross-sectional study aimed to characterize sleep parameters and work-related conditions through certified sleep-specialist interviews, defining clinically meaningful sleep phenotypes in healthcare workers. This single-center cross-sectional study was conducted between December 2021 and February 2022 in a tertiary hospital. Interviews captured occupational and sleep-related parameters by a sleep specialist. Validated Greek versions of the Pittsburgh Sleep Quality Index (PSQI), Athens Insomnia Scale (AIS), and Epworth Sleepiness Scale (ESS) were administered. Data collection involved structured questionnaires and statistical analysis using STATA/IC software. Results: Among 38 healthcare professionals, most were medical/nursing staff (71%), one-quarter worked rotating shifts (26%), and the majority reported short sleep duration (74% <7 h). Unadjusted analyses indicated that poorer sleep was associated with younger age, reduced job performance, cognitive strain, morning headaches, and being overweight, whereas evening-type individuals reported fewer sleep complaints; in adjusted models, however, chronotype remained the only independent predictor of sleep disturbance, while reduced job performance independently predicted excessive daytime sleepiness. Medical/nursing personnel also reported higher rates of weight gain and greater daytime sleepiness compared with non-medical staff. Conclusion: This study demonstrates that clinician-led sleep interviews can effectively identify key sleep phenotypes in healthcare professionals, revealing that evening-type individuals consistently exhibit a more favorable sleep profile. Targeted screening of resilient sleep phenotypes, such as the evening type identified in this study, can help support safer and more sustainable working conditions for healthcare professionals.