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The Study of Efficacy and Safety of UV Forecasting Based Heliotherapy For Psoriasis in Bangkok, Thailand: A Split-side Pilot Study
Due to limited number of phototherapy centres and shortage of qualified phototherapy practitioners, heliotherapy has become a promising treatment alternative in Thailand where patients effortlessly receive supervised sun-bathing treatments from their homes whenever they are convenient. We used newly designed deep neural network UV forecasting model developed by using our 10 year-retrospective Solar UV irradiance (280-400 nm) retrieved from a ground based platform at Atmosperic laboratory, Silpakorn University, Nakhon Pathom, Thailand (13.82N 100.04E, 30 m above mean sea level). This model achieved a next-day forecast error of less than 12% which has been the most accurate prediction to date. We designed our 10week heliotherapy regimen based on the predicted anti psoriasis effective irradiance values. We studied efficacy and safety of the 12-week heliotherapy regimen for psoriasis on only ruled acceptable clear sky days in Bangkok, Thailand
We studied efficacy and safety of the 16-week heliotherapy regimen for psoriasis on only ruled acceptable clear sky days in Bangkok, Thailand
Age
18 - 80 years
Sex
ALL
Healthy Volunteers
Yes
Start Date
March 15, 2021
Primary Completion Date
August 30, 2021
Completion Date
December 31, 2021
Last Updated
February 5, 2021
20
ESTIMATED participants
Heliotherapy (a sole sun-bathing)
OTHER
Lead Sponsor
Chulalongkorn University
Collaborators
NCT04080635
NCT04340076
Data Source & Attribution
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View ClinicalTrials.gov Terms and ConditionsNCT03507946