Literature DB >> 29233567

Obtaining continuous BrAC/BAC estimates in the field: A hybrid system integrating transdermal alcohol biosensor, Intellidrink smartphone app, and BrAC Estimator software tools.

Susan E Luczak1, Ashley L Hawkins2, Zheng Dai3, Raphael Wichmann4, Chunming Wang5, I Gary Rosen6.   

Abstract

Biosensors have been developed to measure transdermal alcohol concentration (TAC), but converting TAC into interpretable indices of blood/breath alcohol concentration (BAC/BrAC) is difficult because of variations that occur in TAC across individuals, drinking episodes, and devices. We have developed mathematical models and the BrAC Estimator software for calibrating and inverting TAC into quantifiable BrAC estimates (eBrAC). The calibration protocol to determine the individualized parameters for a specific individual wearing a specific device requires a drinking session in which BrAC and TAC measurements are obtained simultaneously. This calibration protocol was originally conducted in the laboratory with breath analyzers used to produce the BrAC data. Here we develop and test an alternative calibration protocol using drinking diary data collected in the field with the smartphone app Intellidrink to produce the BrAC calibration data. We compared BrAC Estimator software results for 11 drinking episodes collected by an expert user when using Intellidrink versus breath analyzer measurements as BrAC calibration data. Inversion phase results indicated the Intellidrink calibration protocol produced similar eBrAC curves and captured peak eBrAC to within 0.0003%, time of peak eBrAC to within 18min, and area under the eBrAC curve to within 0.025% alcohol-hours as the breath analyzer calibration protocol. This study provides evidence that drinking diary data can be used in place of breath analyzer data in the BrAC Estimator software calibration procedure, which can reduce participant and researcher burden and expand the potential software user pool beyond researchers studying participants who can drink in the laboratory.
Copyright © 2017. Published by Elsevier Ltd.

Entities:  

Keywords:  Alcohol biosensor; Drinking diary; Ecological momentary assessment; Estimated breath alcohol concentration; Smartphone app; Transdermal alcohol concentration

Mesh:

Substances:

Year:  2017        PMID: 29233567      PMCID: PMC6022751          DOI: 10.1016/j.addbeh.2017.11.038

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  20 in total

1.  Transdermal alcohol measurement for estimation of blood alcohol concentration.

Authors:  R Swift
Journal:  Alcohol Clin Exp Res       Date:  2000-04       Impact factor: 3.455

2.  Estimating BrAC from transdermal alcohol concentration data using the BrAC estimator software program.

Authors:  Susan E Luczak; I Gary Rosen
Journal:  Alcohol Clin Exp Res       Date:  2014-08       Impact factor: 3.455

3.  Parameter estimation using a direct solution of the integrated Michaelis-Menten equation.

Authors:  C T Goudar; J R Sonnad; R G Duggleby
Journal:  Biochim Biophys Acta       Date:  1999-01-11

4.  Comparing the detection of transdermal and breath alcohol concentrations during periods of alcohol consumption ranging from moderate drinking to binge drinking.

Authors:  Donald M Dougherty; Nora E Charles; Ashley Acheson; Samantha John; R Michael Furr; Nathalie Hill-Kapturczak
Journal:  Exp Clin Psychopharmacol       Date:  2012-06-18       Impact factor: 3.157

5.  Estimating blood alcohol concentration: two computer programs and their applications in therapy and research.

Authors:  D B Matthews; W R Miller
Journal:  Addict Behav       Date:  1979       Impact factor: 3.913

6.  Prediction of blood alcohol concentrations in human subjects. Updating the Widmark Equation.

Authors:  P E Watson; I D Watson; R D Batt
Journal:  J Stud Alcohol       Date:  1981-07

Review 7.  Continuous objective monitoring of alcohol use: twenty-first century measurement using transdermal sensors.

Authors:  Thad R Leffingwell; Nathaniel J Cooney; James G Murphy; Susan Luczak; Gary Rosen; Donald M Dougherty; Nancy P Barnett
Journal:  Alcohol Clin Exp Res       Date:  2012-07-23       Impact factor: 3.455

8.  Using drinking data and pharmacokinetic modeling to calibrate transport model and blind deconvolution based data analysis software for transdermal alcohol biosensors.

Authors:  Zheng Dai; I G Rosen; Chuming Wang; Nancy Barnett; Susan E Luczak
Journal:  Math Biosci Eng       Date:  2016-10-01       Impact factor: 2.080

9.  Time Delays in Transdermal Alcohol Concentrations Relative to Breath Alcohol Concentrations.

Authors:  Tara E Karns-Wright; John D Roache; Nathalie Hill-Kapturczak; Yuanyuan Liang; Jillian Mullen; Donald M Dougherty
Journal:  Alcohol Alcohol       Date:  2016-08-13       Impact factor: 2.826

10.  Blind Deconvolution for Distributed Parameter Systems with Unbounded Input and Output and Determining Blood Alcohol Concentration from Transdermal Biosensor Data.

Authors:  I G Rosen; Susan E Luczak; Jordan Weiss
Journal:  Appl Math Comput       Date:  2014-03-15       Impact factor: 4.091

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  13 in total

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Authors:  Thomas M Piasecki
Journal:  Alcohol Clin Exp Res       Date:  2019-03-01       Impact factor: 3.455

2.  Objective continuous monitoring of alcohol consumption for three months among alcohol use disorder treatment outpatients.

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Journal:  Alcohol       Date:  2019-01-31       Impact factor: 2.405

3.  Wrist-worn alcohol biosensors: Strengths, limitations, and future directions.

Authors:  Yan Wang; Daniel J Fridberg; Robert F Leeman; Robert L Cook; Eric C Porges
Journal:  Alcohol       Date:  2018-09-01       Impact factor: 2.405

4.  Estimating the quantity and time course of alcohol consumption from transdermal alcohol sensor data: A combined laboratory-ambulatory study.

Authors:  Catharine E Fairbairn; I Gary Rosen; Susan E Luczak; Walter J Venerable
Journal:  Alcohol       Date:  2018-09-01       Impact factor: 2.405

5.  Attentional and approach biases to alcohol cues among young adult drinkers: An ecological momentary assessment study.

Authors:  Brian Suffoletto; Matt Field; Tammy Chung
Journal:  Exp Clin Psychopharmacol       Date:  2019-12-30       Impact factor: 3.157

6.  Applying a novel population-based model approach to estimating breath alcohol concentration (BrAC) from transdermal alcohol concentration (TAC) biosensor data.

Authors:  Melike Sirlanci; I Gary Rosen; Tamara L Wall; Susan E Luczak
Journal:  Alcohol       Date:  2018-09-20       Impact factor: 2.405

Review 7.  Mobile alcohol biosensors and pharmacotherapy development research.

Authors:  Walter Roberts; Sherry A McKee
Journal:  Alcohol       Date:  2018-08-03       Impact factor: 2.405

8.  Monitoring alcohol use in heavy drinking soup kitchen attendees.

Authors:  Carla J Rash; Nancy M Petry; Sheila M Alessi; Nancy P Barnett
Journal:  Alcohol       Date:  2018-10-08       Impact factor: 2.405

9.  Alcohol subjective responses in heavy drinkers: Measuring acute effects in the natural environment versus the controlled laboratory setting.

Authors:  Daniel J Fridberg; Dingcai Cao; Andrea C King
Journal:  Alcohol Clin Exp Res       Date:  2021-04-30       Impact factor: 3.928

10.  Sociodemographic and clinical factors associated with transdermal alcohol concentration from the SCRAM biosensor among persons living with and without HIV.

Authors:  Veronica L Richards; Yiyang Liu; Jessica Orr; Robert F Leeman; Nancy P Barnett; Kendall Bryant; Robert L Cook; Yan Wang
Journal:  Alcohol Clin Exp Res       Date:  2021-08-02       Impact factor: 3.928

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