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Purpose: Excessive daytime sleepiness (EDS) can have a significant impact on health and quality of life but may remain undiagnosed due to low awareness and underestimation of the clinical impact of the symptoms. An online screening tool supported by media campaigns might increase awareness and help detect undiagnosed cases of EDS and narcolepsy. The aim of this study was to develop an online screening method, along with a media campaign focusing on EDS, and evaluate its feasibility. Methods: Online screening supported by a media campaign targeting young and middle-aged adults (18-45 years old) were developed and implemented over a period of 1 year starting from November 2022. The Epworth Sleepiness Scale was used to identify EDS, and the Swiss Narcolepsy Scale was used to identify narcolepsy. In addition, the data on sociodemographic characteristics, selected sleep and health indicators and lifestyle behaviors were collected to indicate the etiology of the EDS. Feasibility, e.g., implementation and practicality, was assessed by the response rate, response to the promotion strategy, time spent on the tool, sample characteristics, and the prevalence of identified EDS and narcolepsy cases. Results: A total of 2,390 people opened the screening link; 568 of them completed the online screening (23.8%), and most of them (n = 437, 76.9%) left their contact data to receive feedback. We identified 171 (30.1%) respondents at risk of EDS and 61 (10.7%) at risk of narcolepsy. The mean time of the screening was 15 min. Conclusion: An online screening tool supported with a campaign seems to be a feasible way to increase awareness about EDS and prevent delayed detection of EDS cases.
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INTRODUCTION: Idiopathic REM-sleep behavior disorder (iRBD) is considered the most specific prodromal marker of Parkinson's disease (PD). With the need to improve early detection of prodromal α-synucleinopathies, several methods to identify peripheral α-synuclein (α-syn) pathology have been exploited in manifest and prodromal PD with varying diagnostic accuracy. Recently, a disease specific 5G4 antibody has been evaluated in skin biopsies of manifest PD patients. The aim of our study was to analyze the 5G4 α-syn immunoreactivity in skin biopsies of deeply phenotyped subjects with iRBD and controls. METHODS: The study cohort consisted of 28 patients with PD, 24 subjects with iRBD and 27 healthy controls, recruited from the CEGEMOD, PDBIOM and PARCAS cohorts. All subjects were deeply phenotyped and assessed for prodromal PD (pPD) probability based on MDS research criteria. Abdominal skin punch biopsies were processed and stained using a conformation specific 5G4 α-syn antibody as well as axonal markers SMI-31 and S100. RESULTS: 5G4-positivity was identified in 23/28 PD patients, 20/24 iRBD subjects and 8/27 healthy controls. Compared to healthy controls, sensitivity and specificity reached 83.33 % and 70.37 % for iRBD; and 82.14 % and 70.37 % for PD, respectively. 5G4-positivity rate in our study was irrespective of the calculated pPD probability of iRBD subjects. CONCLUSIONS: This work establishes the diagnostic yield of conformation specific 5G4 α-syn antibody testing in skin biopsies of subjects with pPD, specifically iRBD. The diagnostic accuracy for this method seems to be similar for both manifest and prodromal PD and is not dependent on the pPD probability ratios.