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The objective of the present study is to demonstrate treatment efficacy of transcranial pulse stimulation for patients with Post-COVID-19 related neurological symptoms (fatigue, cognitive deficits, mood deterioration). Fatigue, as measured by the Fatigue Impact Scale (FIS), will represent the primary outcome variable. The verum treatment will be compared to a sham (placebo) condition.
Full description
This clinical trial aims to investigate the treatment efficacy of transcranial pulse stimulation (TPS) using the NEUROLITH device (Storz Medical AG, Tägerwilen, Switzerland) in individuals with neurological post-COVID-19-symptoms. TPS is a novel brain stimulation therapy based on non-invasive ultrasound pulses and first published in 2019 by the Medical University of Vienna, Austria (Beisteiner et al. Advanced Science, 2019). The study employs a double-blind, randomized, placebo-controlled [multicenter-]* design with parallel groups (verum vs. sham). The anticipated timeframe for the entire study is 2 years, during which each participant is expected to be actively engaged for a period of 3-4 months. The aim is to include [120] patients, with 90 individuals participating in the Austrian center [and 30 in the Italian center]. The randomization ratio is 1:1, ensuring an even distribution between the verum (active treatment) and sham (placebo) groups. Three assessment points are scheduled (Baseline, PostStim, 1monthPostStim). Furthermore, to determine potential effects over time, limited data collection (involving only FIS, BDI-II, SF-36 and BI-PEM) is planned at later time points, specifically at 3 months post-stimulation and 6 months post-stimulation (only at the Austrian center).
Hypotheses
Timeline
Each study participant will undergo the following sequence:
Initial information session and clarification of relevant medical findings regarding inclusion and exclusion criteria
Baseline screening:
Transcranial pulse stimulation
Post-stimulation assessment (PostStim)
One-month post-stimulation assessment (1monthPostStim)
Deviations of + 5 days from the intended timeline are considered tolerable.
Sample Size Calculation
The sample size calculation conducted with G*Power incorporated a small effect size (f = .10), α error probability of .05, and a power of 0.8, resulting in an estimate of 102 patients. While the consideration of a 12.5% drop-out rate from a previous study (Beisteiner et al., 2019) would yield a sample size of 114.75, a more conservative approach is being employed: To ensure sufficient participant numbers, the aim is to enroll 120 patients.
[Italian Center Adaptation: The Italian center will use the Austrian center as a template while considering available resources, potentially leading to a reduced number of data collection instruments and sessions per assessment point. After obtaining approval, this passage will be revised to include relevant information for the Italian center.]
[...]* indicates aspects of the planned multicenter design. The center in Italy is currently undergoing the approval process. Updates to this page will be made once confirmations are obtained.
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120 participants in 2 patient groups
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Central trial contact
Roland Beisteiner, Prof.; Michael Mitterwallner, Dr.
Data sourced from clinicaltrials.gov
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