Itch leads to serious impairment of quality of life?often times on par with pain. Itch is the hallmark symptom and primary driver of morbidity for atopic dermatitis (AD)?one of the most common inflammatory skin diseases affecting 24 million adults and 10 million children in the U.S. Currently, there is a severe lack of objective measurement of itch. Psychometric surveys are point measurements that lack sensitivity and validity?particularly in children. Measuring itch-related scratching behavior offers a potential objective way to measure itch. Unfortunately, wrist strapped electronics fail to capture scratch accurately and are not adapted for children. This project seeks to accelerate the full qualification of a novel, wearable sensor leveraging a machine learning algorithm to objectively and accurately measure scratching. We propose to address key comments from the FDA in our accepted letter of intent (DDT COA #000120) by accomplishing the following specific aims.
Aim 1 : we will augment our current scratch sensor to achieve 7-day battery life on a single wireless charge (current battery life: 24 hours) to increase adherence and reduce user burden.
Aim 2 : we propose to extend healthy normal testing to strengthen our predictive algorithm and train against additional cofounders with an additional 8 subjects (n=16 total). In addition, we will improve the usability and cybersecurity of our software and cloud system.
Aim 3 : we will extend our existing clinical study at Northwestern University to include more pediatric and adult individuals with AD (n=30 target total). Psychometric surveys will assess user/caregiver experience afterwards, and determine which features of the sensor have greatest value to patients. Success will be defined by successful submission of a full qualification plan to the FDA within 12 months as a fully accepted drug discovery tool. The long- term goal is to make this scratch sensor widely available to support drug development by providing an objective endpoint for itch, and inform future clinical care of treatment response in a patient?s naturalistic environment. Further applications include deployment in other itchy conditions (e.g. prurigo nodularis, chronic pruritus of the elderly, pruritus associated with renal or hepatic failure).

Public Health Relevance

Itch is a profoundly disturbing symptom that greatly reduces quality of life. For Atopic dermatitis (eczema) sufferers, a disease that afflicts 10% of children and 4% of adults in the U.S., itch is the greatest source of morbidity. However, there remains a lack of objective, repeatable measurement tools for itch hindering drug development. Measuring scratch behavior offers one opportunity to quantify itch. This project will support efforts to fully qualify an accepted letter of intent for a novel wearable scratch sensor as a drug development tool (COA# 0001120).

Agency
National Institute of Health (NIH)
Institute
Food and Drug Administration (FDA)
Type
Research Project--Cooperative Agreements (U01)
Project #
1U01FD007001-01
Application #
10146184
Study Section
Special Emphasis Panel (ZFD1)
Program Officer
Luong, Kristina
Project Start
2020-08-01
Project End
2021-07-31
Budget Start
2020-08-01
Budget End
2021-07-31
Support Year
1
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Sonica, LLC
Department
Type
DUNS #
081039857
City
Evanston
State
IL
Country
United States
Zip Code
60208