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Leveraging Accelerometry as a Prognostic Indicator for Increase in Opioid Withdrawal Symptoms
Treating opioid use disorder (OUD) is a significant healthcare challenge in the United States. Remaining abstinent from opioids is challenging for individuals with OUD due to withdrawal symptoms that include restlessness. However, to our knowledge, studies of acute withdrawal have not quantified res...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688173/ https://www.ncbi.nlm.nih.gov/pubmed/36354433 http://dx.doi.org/10.3390/bios12110924 |
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author | Lambert, Tamara P. Gazi, Asim H. Harrison, Anna B. Gharehbaghi, Sevda Chan, Michael Obideen, Malik Alavi, Parvaneh Murrah, Nancy Shallenberger, Lucy Driggers, Emily G. Alvarado Ortega, Rebeca Washington, Brianna Walton, Kevin M. Tang, Yi-Lang Gupta, Rahul Nye, Jonathon A. Welsh, Justine W. Vaccarino, Viola Shah, Amit J. Bremner, J. Douglas Inan, Omer T. |
author_facet | Lambert, Tamara P. Gazi, Asim H. Harrison, Anna B. Gharehbaghi, Sevda Chan, Michael Obideen, Malik Alavi, Parvaneh Murrah, Nancy Shallenberger, Lucy Driggers, Emily G. Alvarado Ortega, Rebeca Washington, Brianna Walton, Kevin M. Tang, Yi-Lang Gupta, Rahul Nye, Jonathon A. Welsh, Justine W. Vaccarino, Viola Shah, Amit J. Bremner, J. Douglas Inan, Omer T. |
author_sort | Lambert, Tamara P. |
collection | PubMed |
description | Treating opioid use disorder (OUD) is a significant healthcare challenge in the United States. Remaining abstinent from opioids is challenging for individuals with OUD due to withdrawal symptoms that include restlessness. However, to our knowledge, studies of acute withdrawal have not quantified restlessness using involuntary movements. We hypothesized that wearable accelerometry placed mid-sternum could be used to detect withdrawal-related restlessness in patients with OUD. To study this, 23 patients with OUD undergoing active withdrawal participated in a protocol involving wearable accelerometry, opioid cues to elicit craving, and non-invasive Vagal Nerve Stimulation (nVNS) to dampen withdrawal symptoms. Using accelerometry signals, we analyzed how movements correlated with changes in acute withdrawal severity, measured by the Clinical Opioid Withdrawal Scale (COWS). Our results revealed that patients demonstrating sinusoidal–i.e., predominantly single-frequency oscillation patterns in their motion almost exclusively demonstrated an increase in the COWS, and a strong relationship between the maximum power spectral density and increased withdrawal over time, measured by the COWS (R = 0.92, p = 0.029). Accelerometry may be used in an ambulatory setting to indicate the increased intensity of a patient’s withdrawal symptoms, providing an objective, readily-measurable marker that may be captured ubiquitously. |
format | Online Article Text |
id | pubmed-9688173 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96881732022-11-25 Leveraging Accelerometry as a Prognostic Indicator for Increase in Opioid Withdrawal Symptoms Lambert, Tamara P. Gazi, Asim H. Harrison, Anna B. Gharehbaghi, Sevda Chan, Michael Obideen, Malik Alavi, Parvaneh Murrah, Nancy Shallenberger, Lucy Driggers, Emily G. Alvarado Ortega, Rebeca Washington, Brianna Walton, Kevin M. Tang, Yi-Lang Gupta, Rahul Nye, Jonathon A. Welsh, Justine W. Vaccarino, Viola Shah, Amit J. Bremner, J. Douglas Inan, Omer T. Biosensors (Basel) Article Treating opioid use disorder (OUD) is a significant healthcare challenge in the United States. Remaining abstinent from opioids is challenging for individuals with OUD due to withdrawal symptoms that include restlessness. However, to our knowledge, studies of acute withdrawal have not quantified restlessness using involuntary movements. We hypothesized that wearable accelerometry placed mid-sternum could be used to detect withdrawal-related restlessness in patients with OUD. To study this, 23 patients with OUD undergoing active withdrawal participated in a protocol involving wearable accelerometry, opioid cues to elicit craving, and non-invasive Vagal Nerve Stimulation (nVNS) to dampen withdrawal symptoms. Using accelerometry signals, we analyzed how movements correlated with changes in acute withdrawal severity, measured by the Clinical Opioid Withdrawal Scale (COWS). Our results revealed that patients demonstrating sinusoidal–i.e., predominantly single-frequency oscillation patterns in their motion almost exclusively demonstrated an increase in the COWS, and a strong relationship between the maximum power spectral density and increased withdrawal over time, measured by the COWS (R = 0.92, p = 0.029). Accelerometry may be used in an ambulatory setting to indicate the increased intensity of a patient’s withdrawal symptoms, providing an objective, readily-measurable marker that may be captured ubiquitously. MDPI 2022-10-26 /pmc/articles/PMC9688173/ /pubmed/36354433 http://dx.doi.org/10.3390/bios12110924 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lambert, Tamara P. Gazi, Asim H. Harrison, Anna B. Gharehbaghi, Sevda Chan, Michael Obideen, Malik Alavi, Parvaneh Murrah, Nancy Shallenberger, Lucy Driggers, Emily G. Alvarado Ortega, Rebeca Washington, Brianna Walton, Kevin M. Tang, Yi-Lang Gupta, Rahul Nye, Jonathon A. Welsh, Justine W. Vaccarino, Viola Shah, Amit J. Bremner, J. Douglas Inan, Omer T. Leveraging Accelerometry as a Prognostic Indicator for Increase in Opioid Withdrawal Symptoms |
title | Leveraging Accelerometry as a Prognostic Indicator for Increase in Opioid Withdrawal Symptoms |
title_full | Leveraging Accelerometry as a Prognostic Indicator for Increase in Opioid Withdrawal Symptoms |
title_fullStr | Leveraging Accelerometry as a Prognostic Indicator for Increase in Opioid Withdrawal Symptoms |
title_full_unstemmed | Leveraging Accelerometry as a Prognostic Indicator for Increase in Opioid Withdrawal Symptoms |
title_short | Leveraging Accelerometry as a Prognostic Indicator for Increase in Opioid Withdrawal Symptoms |
title_sort | leveraging accelerometry as a prognostic indicator for increase in opioid withdrawal symptoms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688173/ https://www.ncbi.nlm.nih.gov/pubmed/36354433 http://dx.doi.org/10.3390/bios12110924 |
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