search
Back to results

Towards a Wearable Alcohol Biosensor: Examining the Accuracy of BAC Estimates From New-Generation Transdermal Technology Using Large-Scale Human Testing and Machine Learning Algorithms

Primary Purpose

Alcohol Drinking, Alcohol Intoxication

Status
Recruiting
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
Alcohol
Sponsored by
University of Illinois at Urbana-Champaign
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional basic science trial for Alcohol Drinking focused on measuring transdermal alcohol content, ambulatory, transdermal biosensor, machine learning algorithms, breath alcohol content

Eligibility Criteria

21 Years - undefined (Adult, Older Adult)All SexesAccepts Healthy Volunteers

Inclusion Criteria: 21 years or older drink alcohol at least 2x weekly Exclusion Criteria: psychological or medical conditions that might contraindicate alcohol-administration history of adverse reaction to type and amount of beverage used in the study currently seeking treatment for alcohol use disorder does not drink alcohol regularly taking drugs or medications for which alcohol consumption would be contraindicated women who are pregnant or are attempting to become pregnant

Sites / Locations

  • University of Illinois at Urbana-ChampaignRecruiting

Arms of the Study

Arm 1

Arm 2

Arm Type

Experimental

Experimental

Arm Label

Fast Condition

Slow Condition

Arm Description

Participants randomized to consume study beverages at a comparatively rapid rate.

Participants randomized to consume study beverages at a comparatively slow rate.

Outcomes

Primary Outcome Measures

Change in Breath Alcohol Concentration During Laboratory Visits
change in alcohol concentration through breath provided in the laboratory
Change in Ambulatory Breath Alcohol Concentration
change in measure of alcohol concentration through breath provided in the field

Secondary Outcome Measures

Full Information

First Posted
October 20, 2022
Last Updated
January 19, 2023
Sponsor
University of Illinois at Urbana-Champaign
Collaborators
National Institutes of Health (NIH)
search

1. Study Identification

Unique Protocol Identification Number
NCT05692830
Brief Title
Towards a Wearable Alcohol Biosensor: Examining the Accuracy of BAC Estimates From New-Generation Transdermal Technology Using Large-Scale Human Testing and Machine Learning Algorithms
Official Title
Towards a Wearable Alcohol Biosensor: Examining the Accuracy of BAC Estimates From New-Generation Transdermal Technology Using Large-Scale Human Testing and Machine Learning Algorithms
Study Type
Interventional

2. Study Status

Record Verification Date
January 2023
Overall Recruitment Status
Recruiting
Study Start Date
April 3, 2022 (Actual)
Primary Completion Date
August 1, 2026 (Anticipated)
Study Completion Date
September 1, 2027 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
University of Illinois at Urbana-Champaign
Collaborators
National Institutes of Health (NIH)

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Product Manufactured in and Exported from the U.S.
Yes
Data Monitoring Committee
No

5. Study Description

Brief Summary
The study will employ a combined laboratory-ambulatory design. Participants will engage in ambulatory assessment over the course of 14 days, wearing biosensors assessing transdermal alcohol concentration (TAC) and providing breathalyzer readings in real-world contexts. Also during this period, participants will attend three laboratory alcohol-administration sessions scheduled at one-week intervals, with alcohol dose and rate of consumption manipulated within and between participants, respectively. Laboratory visits will also double as ambulatory orientation, check-in, and close-out sessions.
Detailed Description
Laboratory Procedures: The aim of the laboratory study is to capture the effect of variable alcohol doses and rates of consumption on the TAC-BAC relationship across individuals in a controlled context. Laboratory alcohol-administration sessions will be held at one-week intervals, scheduled at study initiation (day 0), study midpoint (day 7), and study end (day 14). Alcohol-administration procedures will employ a within (alcohol dose) X between (rate of consumption) participant design. All participants will consume three doses of alcohol over the course of the three laboratory sessions, targeting peak blood alcohol concentration (BAC) levels of .03%, .06%, and .09% respectively. The order of alcohol doses will be counterbalanced across participants. The exact quantity of alcohol administered to each participant in order to achieve these target peak BACs will be calculated based on individualized formulas adjusting for drinking rate, sex, height, weight, and age (see formulas provided in Watson et al., (1981)). Rate of consumption will be manipulated between participants, with equal numbers of participants assigned to consume alcohol at relatively "fast" and "slow" rates. Beverage intake will be monitored to ensure participant comfort and even consumption across the beverage administration period. After beverage administration, participants will provide breath alcohol concentration (BrAC) readings at 10- min intervals. In addition, during the laboratory procedures, participants will be exposed to environmental factors that are known to impact the transdermal reading of the Skyn device. These manipulations will allow the research team to train the machine learning algorithm to recognize and model for these environmental effects. These manipulations include: 1) Environmental alcohol: common household products containing alcohol (e.g., hand sanitizer, perfume, lotion containing alcohol) will be sprayed or applied in proximity to Skyn; 2) Sweating: Participants will be asked to engage in a brief 10-30 minute aerobic exercise while in a seated position (i.e., stationary biking) while under the supervision of a research assistant. This brief exercise will be designed simply to yield exertion to the point of sweating and not exertion beyond this point; 3) Arm Movements: Participants will be asked to engage in isolated body movements (e.g., arms and feet) to determine whether device shifting caused by such movements impact readings taken by Skyn. Ambulatory Procedures: This arm of the study aims to capture the TAC-BAC relationship among participants drinking in everyday settings. Ambulatory assessment will take place over 14 days. During laboratory session 1, prior to beverage administration, participants will be oriented to ambulatory study procedures. The Skyn device will be worn throughout participation. During orientation, participants will be trained to use the mobile breathalyzer. To avoid contamination of breathalyzer readings by mouth alcohol, participants will be instructed to wait 5 minutes after their last sip of alcohol to provide a reading. Also during this orientation session, participants will receive training in standard drink reporting (used to validate breathalyzer readings). During ambulatory assessment, participants will provide breathalyzer readings in response to both random and user-initiated prompts via their smartphones. On day 14 of the study, participants will attend a final laboratory session during which they will return study equipment as well as complete questionnaires asking them to reflect on their experience using the Skyn and their likelihood to adopt a Skyn application.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Alcohol Drinking, Alcohol Intoxication
Keywords
transdermal alcohol content, ambulatory, transdermal biosensor, machine learning algorithms, breath alcohol content

7. Study Design

Primary Purpose
Basic Science
Study Phase
Not Applicable
Interventional Study Model
Factorial Assignment
Model Description
Participants are counterbalanced into fast or slow consumption condition and 1 of 2 different categories of environmental alcohol tests within gender groups. All subjects will receive the moderate dose of alcohol at visit 1, and be counterbalanced to receive low and high doses between visits 2 and 3. All subjects will complete exercise, environmental alcohol, and body movement interventions across the 3 visits. The order of the post-drink activities will also be counterbalanced.
Masking
None (Open Label)
Allocation
Randomized
Enrollment
240 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
Fast Condition
Arm Type
Experimental
Arm Description
Participants randomized to consume study beverages at a comparatively rapid rate.
Arm Title
Slow Condition
Arm Type
Experimental
Arm Description
Participants randomized to consume study beverages at a comparatively slow rate.
Intervention Type
Drug
Intervention Name(s)
Alcohol
Intervention Description
Alcohol administered orally at multiple doses and consumption speeds to test transdermal device accuracy
Primary Outcome Measure Information:
Title
Change in Breath Alcohol Concentration During Laboratory Visits
Description
change in alcohol concentration through breath provided in the laboratory
Time Frame
From beginning to end of alcohol administration visit, measured every ten minutes, up to 12 hours
Title
Change in Ambulatory Breath Alcohol Concentration
Description
change in measure of alcohol concentration through breath provided in the field
Time Frame
up to 2 weeks

10. Eligibility

Sex
All
Minimum Age & Unit of Time
21 Years
Accepts Healthy Volunteers
Accepts Healthy Volunteers
Eligibility Criteria
Inclusion Criteria: 21 years or older drink alcohol at least 2x weekly Exclusion Criteria: psychological or medical conditions that might contraindicate alcohol-administration history of adverse reaction to type and amount of beverage used in the study currently seeking treatment for alcohol use disorder does not drink alcohol regularly taking drugs or medications for which alcohol consumption would be contraindicated women who are pregnant or are attempting to become pregnant
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Catharine Fairbairn, PhD
Phone
217-300-5850
Email
uiucalcohollab@gmail.com
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Catharine Fairbairn, PhD
Organizational Affiliation
University of Illinois Urbana-Champaign
Official's Role
Principal Investigator
Facility Information:
Facility Name
University of Illinois at Urbana-Champaign
City
Champaign
State/Province
Illinois
ZIP/Postal Code
61820
Country
United States
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Catharine E Fairbairn, Ph.D.
Phone
217-300-5850
Email
uiucalcohollab@gmail.com

12. IPD Sharing Statement

Plan to Share IPD
Undecided
Citations:
PubMed Identifier
15303630
Citation
White AM. What happened? Alcohol, memory blackouts, and the brain. Alcohol Res Health. 2003;27(2):186-96.
Results Reference
background
PubMed Identifier
22823467
Citation
Leffingwell TR, Cooney NJ, Murphy JG, Luczak S, Rosen G, Dougherty DM, Barnett NP. Continuous objective monitoring of alcohol use: twenty-first century measurement using transdermal sensors. Alcohol Clin Exp Res. 2013 Jan;37(1):16-22. doi: 10.1111/j.1530-0277.2012.01869.x. Epub 2012 Jul 23.
Results Reference
background
PubMed Identifier
28709081
Citation
Alessi SM, Barnett NP, Petry NM. Experiences with SCRAMx alcohol monitoring technology in 100 alcohol treatment outpatients. Drug Alcohol Depend. 2017 Sep 1;178:417-424. doi: 10.1016/j.drugalcdep.2017.05.031. Epub 2017 Jun 28.
Results Reference
background
PubMed Identifier
32853998
Citation
Fairbairn CE, Kang D, Bosch N. Using machine learning for real-time BAC estimation from a new-generation transdermal biosensor in the laboratory. Drug Alcohol Depend. 2020 Nov 1;216:108205. doi: 10.1016/j.drugalcdep.2020.108205. Epub 2020 Aug 1.
Results Reference
background
PubMed Identifier
18616674
Citation
Kerr WC, Patterson D, Koenen MA, Greenfield TK. Alcohol content variation of bar and restaurant drinks in Northern California. Alcohol Clin Exp Res. 2008 Sep;32(9):1623-9. doi: 10.1111/j.1530-0277.2008.00741.x. Epub 2008 Jul 8.
Results Reference
background
PubMed Identifier
28088750
Citation
Mohan AMV, Windmiller JR, Mishra RK, Wang J. Continuous minimally-invasive alcohol monitoring using microneedle sensor arrays. Biosens Bioelectron. 2017 May 15;91:574-579. doi: 10.1016/j.bios.2017.01.016. Epub 2017 Jan 10.
Results Reference
background
PubMed Identifier
18184507
Citation
Webster GD, Gabler HC. Feasibility of transdermal ethanol sensing for the detection of intoxicated drivers. Annu Proc Assoc Adv Automot Med. 2007;51:449-64.
Results Reference
background
PubMed Identifier
25156615
Citation
Luczak SE, Rosen IG. Estimating BrAC from transdermal alcohol concentration data using the BrAC estimator software program. Alcohol Clin Exp Res. 2014 Aug;38(8):2243-52. doi: 10.1111/acer.12478.
Results Reference
background
PubMed Identifier
30179709
Citation
Wang Y, Fridberg DJ, Leeman RF, Cook RL, Porges EC. Wrist-worn alcohol biosensors: Strengths, limitations, and future directions. Alcohol. 2019 Dec;81:83-92. doi: 10.1016/j.alcohol.2018.08.013. Epub 2018 Sep 1.
Results Reference
background
PubMed Identifier
31469451
Citation
Fairbairn CE, Kang D. Temporal Dynamics of Transdermal Alcohol Concentration Measured via New-Generation Wrist-Worn Biosensor. Alcohol Clin Exp Res. 2019 Oct;43(10):2060-2069. doi: 10.1111/acer.14172. Epub 2019 Aug 30.
Results Reference
background
PubMed Identifier
24923985
Citation
Hill-Kapturczak N, Roache JD, Liang Y, Karns TE, Cates SE, Dougherty DM. Accounting for sex-related differences in the estimation of breath alcohol concentrations using transdermal alcohol monitoring. Psychopharmacology (Berl). 2015 Jan;232(1):115-23. doi: 10.1007/s00213-014-3644-9. Epub 2014 Jun 13.
Results Reference
background
PubMed Identifier
29745701
Citation
Fairbairn CE, Bresin K, Kang D, Rosen IG, Ariss T, Luczak SE, Barnett NP, Eckland NS. A multimodal investigation of contextual effects on alcohol's emotional rewards. J Abnorm Psychol. 2018 May;127(4):359-373. doi: 10.1037/abn0000346.
Results Reference
background
PubMed Identifier
22708608
Citation
Dougherty DM, Charles NE, Acheson A, John S, Furr RM, Hill-Kapturczak N. Comparing the detection of transdermal and breath alcohol concentrations during periods of alcohol consumption ranging from moderate drinking to binge drinking. Exp Clin Psychopharmacol. 2012 Oct;20(5):373-81. doi: 10.1037/a0029021. Epub 2012 Jun 18.
Results Reference
background
PubMed Identifier
25335857
Citation
Hill-Kapturczak N, Lake SL, Roache JD, Cates SE, Liang Y, Dougherty DM. Do variable rates of alcohol drinking alter the ability to use transdermal alcohol monitors to estimate peak breath alcohol and total number of drinks? Alcohol Clin Exp Res. 2014 Oct;38(10):2517-22. doi: 10.1111/acer.12528. Epub 2014 Oct 21.
Results Reference
background
PubMed Identifier
30308286
Citation
Rash CJ, Petry NM, Alessi SM, Barnett NP. Monitoring alcohol use in heavy drinking soup kitchen attendees. Alcohol. 2019 Dec;81:139-147. doi: 10.1016/j.alcohol.2018.10.001. Epub 2018 Oct 8.
Results Reference
background
PubMed Identifier
30244026
Citation
Sirlanci M, Rosen IG, Wall TL, Luczak SE. Applying a novel population-based model approach to estimating breath alcohol concentration (BrAC) from transdermal alcohol concentration (TAC) biosensor data. Alcohol. 2019 Dec;81:117-129. doi: 10.1016/j.alcohol.2018.09.005. Epub 2018 Sep 20.
Results Reference
background
PubMed Identifier
27663578
Citation
Nahum-Shani I, Smith SN, Spring BJ, Collins LM, Witkiewitz K, Tewari A, Murphy SA. Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support. Ann Behav Med. 2018 May 18;52(6):446-462. doi: 10.1007/s12160-016-9830-8.
Results Reference
background
PubMed Identifier
31814628
Citation
Sirlanci M, Luczak SE, Fairbairn CE, Kang D, Pan R, Yu X, Rosen IG. Estimating the Distribution of Random Parameters in a Diffusion Equation Forward Model for a Transdermal Alcohol Biosensor. Automatica (Oxf). 2019 Aug;106:101-109. doi: 10.1016/j.automatica.2019.04.026. Epub 2019 May 16.
Results Reference
background
PubMed Identifier
30179707
Citation
Fairbairn CE, Rosen IG, Luczak SE, Venerable WJ. Estimating the quantity and time course of alcohol consumption from transdermal alcohol sensor data: A combined laboratory-ambulatory study. Alcohol. 2019 Dec;81:111-116. doi: 10.1016/j.alcohol.2018.08.015. Epub 2018 Sep 1.
Results Reference
background
PubMed Identifier
24490713
Citation
Barnett NP, Meade EB, Glynn TR. Predictors of detection of alcohol use episodes using a transdermal alcohol sensor. Exp Clin Psychopharmacol. 2014 Feb;22(1):86-96. doi: 10.1037/a0034821.
Results Reference
background
PubMed Identifier
31892764
Citation
Sirlanci M, Rosen IG, Luczak SE, Fairbairn CE, Bresin K, Kang D. Deconvolving the input to random abstract parabolic systems: a population model-based approach to estimating blood/breath alcohol concentration from transdermal alcohol biosensor data. Inverse Probl. 2018 Dec;34(12):125006. doi: 10.1088/1361-6420/aae791. Epub 2018 Nov 9.
Results Reference
background
PubMed Identifier
22336388
Citation
Figueroa RL, Zeng-Treitler Q, Kandula S, Ngo LH. Predicting sample size required for classification performance. BMC Med Inform Decis Mak. 2012 Feb 15;12:8. doi: 10.1186/1472-6947-12-8.
Results Reference
background
PubMed Identifier
27775390
Citation
Dai Z, Rosen IG, Wang C, Barnett N, Luczak SE. Using drinking data and pharmacokinetic modeling to calibrate transport model and blind deconvolution based data analysis software for transdermal alcohol biosensors. Math Biosci Eng. 2016 Oct 1;13(5):911-934. doi: 10.3934/mbe.2016023.
Results Reference
background
PubMed Identifier
25620731
Citation
Dawson DA, Goldstein RB, Saha TD, Grant BF. Changes in alcohol consumption: United States, 2001-2002 to 2012-2013. Drug Alcohol Depend. 2015 Mar 1;148:56-61. doi: 10.1016/j.drugalcdep.2014.12.016. Epub 2014 Dec 23.
Results Reference
background
PubMed Identifier
24145332
Citation
Bradford DE, Shapiro BL, Curtin JJ. How bad could it be? Alcohol dampens stress responses to threat of uncertain intensity. Psychol Sci. 2013 Dec;24(12):2541-9. doi: 10.1177/0956797613499923. Epub 2013 Oct 21.
Results Reference
background
PubMed Identifier
21503605
Citation
Moberg CA, Weber SM, Curtin JJ. Alcohol dose effects on stress response to cued threat vary by threat intensity. Psychopharmacology (Berl). 2011 Nov;218(1):217-27. doi: 10.1007/s00213-011-2304-6. Epub 2011 Apr 19.
Results Reference
background
PubMed Identifier
33966283
Citation
Delgado MK, Shofer F, Wetherill R, Curtis B, Hemmons J, Spencer E, Branas C, Wiebe DJ, Kranzler HR. Accuracy of Consumer-marketed smartphone-paired alcohol breath testing devices: A laboratory validation study. Alcohol Clin Exp Res. 2021 May;45(5):1091-1099. doi: 10.1111/acer.14597. Epub 2021 May 9.
Results Reference
background

Learn more about this trial

Towards a Wearable Alcohol Biosensor: Examining the Accuracy of BAC Estimates From New-Generation Transdermal Technology Using Large-Scale Human Testing and Machine Learning Algorithms

We'll reach out to this number within 24 hrs