Longitudinal monitoring of inflammation using skin devices may help predict outcomes compared to traditional blood draws
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
NONE
Enrollment
85
Skin sensor to detect inflammatory molecules in sweat
Hunter Holmes McGuire VA Medical Center
Richmond, Virginia, United States
Number of participants with treatment-related adverse events as assessed by CTCAE v4.0
We will study whether subjects have any issues or adverse events related to the sensor
Time frame: 3 days
Ability to detect inflammatory markers (TNF, IL-1b, IL-6 and CRP) using skin sensor compared to blood values
Comparison of skin sensor data to blood inflammatory markers as above using daily blood draw and sensor values. Blood markers and sensor markers will be correlated for each day.
Time frame: 3 days
Linkage of skin inflammatory markers (TNF, IL-6, IL-1b and CRP) with quality of life
Correlation of inflammatory markers using the skin sensor data to quality of life using Sickness Impact Profile and PROMIS questionnaires.
Time frame: 3 days
Linkage of inflammatory markers (TNF, IL-6, IL-1b and CRP) with cognitive testing
Correlation of inflammatory markers using the skin sensor data to cognitive performance on PHES and EncephalApp Stroop
Time frame: 3 days
Linkage of inflammatory markers with MELD score
Correlation of inflammatory markers using the skin sensor data to MELD score
Time frame: 3 days
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