Psorcast Mobile Study
- Conditions
- PsoriasisPsoriatic ConditionsDermatologic DiseasePsoriatic ArthritisRheumatologic DiseasePsoriatic NailDactylitisPlaque PsoriasisJoint Pain
- Registration Number
- NCT05621369
- Lead Sponsor
- Sage Bionetworks
- Brief Summary
The purpose of this study is to understand variation in the symptoms of psoriasis and psoriatic arthritis using simple, scalable smartphone-based measurements. This study uses an iPhone app to record these symptoms through questionnaires and sensors.
- Detailed Description
Psoriatic disease exhibits a spectrum of symptoms and can transition from psoriasis (PsO), largely affecting the skin, to psoriatic arthritis (PsA) involving widespread musculoskeletal inflammation. Early detection of the PsO-to-PsA transition and rapid administration of effective treatment is essential, as a delay in diagnosing PsA by as little as 6 months can lead to irreversible joint damage. This "ticking clock" paradigm drives the need for frequent monitoring and effective therapeutic intervention as early as possible to attenuate or possibly prevent disease progression. Using a suite of smartphone-based measurements in an app called Psorcast (psoriasis forecasts), we aim to aggregate weekly, symptom measurements from participants in a remote, longitudinal observational study to map the trajectories of treatment response and disease progression. In this study, we will explore measurements of psoriatic disease activity at least an order of magnitude more frequently (weekly vs. quarterly) than standard clinical practice or clinical trial designs. This study is not meant to provide a medical diagnosis, treatment, or medical advice. It is meant to provide a scalable, inexpensive, non-invasive and frequent measure and tracking of psoriasis and psoriatic arthritis for research purposes.
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 1000
- Adult age 18 and older who consent to participate in the study
- Own a compatible iPhone or iPod Touch device running iOS 12.2 or above
- Be able to read and understand an official language of the country of participation
- Age 17 years or younger
- Not a resident of the a country where the app is approved for use
- Not have a personal (i.e., not shared) iPhone (4s or newer running iOS 8.0 or later)
- Not be able to read and understand an official language of the country of participation
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Results of participant self-assessment surveys Through study completion, an average of 2 years Results of participant self-assessment surveys will be analyzed using descriptive statistics. These results may also be compared with other intervention results.
Computer vision features from Psoriasis Area Photo assessment Through study completion, an average of 2 years The investigators apply visual processing and classifier algorithms to analyze the images from the Psoriasis Area Photo assessments. These results may also be compared with other intervention results.
Gyroscope and accelerometer sensor measurements from Digital Jar Open assessment Through study completion, an average of 2 years The investigators examine rotational features from gyroscope and accelerometer sensors. The investigators apply feature selection and classifier algorithms to analyze these data. These results may also be compared with other intervention results.
Body surface area and location from the Psoriasis Draw assessment Through study completion, an average of 2 years The investigators will quantify body surface area and psoriasis area hotspots across the cohort. These results may also be compared with other intervention results.
Computer vision features from Finger/Toe Photos Through study completion, an average of 2 years The investigators apply visual processing and classifier algorithms to segment nails and joints from hand and foot photos. These results may also be compared with other intervention results.
Gyroscope and accelerometer sensor measurements from 30-sec Walk assessment Through study completion, an average of 2 years The investigators examine step-dependent and sequence-dependent features from gyroscope and accelerometer sensors. The investigators apply feature selection and classifier algorithms to analyze these data. These results may also be compared with other intervention results.
Quantification and distribution of self-reported painful joints Through study completion, an average of 2 years The investigators will quantify the self-reported painful joints and, in particular, compare to measurements from the 30-sec Walk and Digital Jar Open to identify correlations. These results may also be compared with other intervention results.
- Secondary Outcome Measures
Name Time Method App usage data for assessment of participant engagement Through study completion, an average of 2 years App usage data is used to gauge participant engagement throughout the study period. These results may also be compared with other intervention results.
Related Research Topics
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Trial Locations
- Locations (1)
Sage Bionetworks
🇺🇸Seattle, Washington, United States
Sage Bionetworks🇺🇸Seattle, Washington, United StatesChristine Suver, PhDContact2066672128christine.suver@sagebase.org