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Pain Trajectories Following Subarachnoid Hemorrhage are Associated with Continued Opioid Use at Outpatient Follow-up
BACKGROUND: Subarachnoid hemorrhage (SAH) is characterized by the worst headache of life and associated with long-term opioid use. Discrete pain trajectories predict chronic opioid use following other etiologies of acute pain, but it is unknown whether they exist following SAH. If discrete pain traj...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189709/ https://www.ncbi.nlm.nih.gov/pubmed/34109554 http://dx.doi.org/10.1007/s12028-021-01282-5 |
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author | Jaffa, Matthew N. Jha, Ruchira M. Elmer, Jonathan Kardon, Adam Podell, Jamie E. Zusman, Benjamin E. Smith, Madeleine C. Simard, J. Marc Parikh, Gunjan Y. Armahizer, Michael J. Badjatia, Neeraj Morris, Nicholas A. |
author_facet | Jaffa, Matthew N. Jha, Ruchira M. Elmer, Jonathan Kardon, Adam Podell, Jamie E. Zusman, Benjamin E. Smith, Madeleine C. Simard, J. Marc Parikh, Gunjan Y. Armahizer, Michael J. Badjatia, Neeraj Morris, Nicholas A. |
author_sort | Jaffa, Matthew N. |
collection | PubMed |
description | BACKGROUND: Subarachnoid hemorrhage (SAH) is characterized by the worst headache of life and associated with long-term opioid use. Discrete pain trajectories predict chronic opioid use following other etiologies of acute pain, but it is unknown whether they exist following SAH. If discrete pain trajectories following SAH exist, it is uncertain whether they predict long-term opioid use. We sought to characterize pain trajectories after SAH and determine whether they are associated with persistent opioid use. METHODS: We reviewed pain scores from patients admitted to a single tertiary care center for SAH from November 2015 to September 2019. Group-based trajectory modeling identified discrete pain trajectories during hospitalization. We compared outcomes across trajectory groups using χ(2) and Kruskal–Wallis tests. Multivariable regression determined whether trajectory group membership was an independent predictor of long-term opioid use, defined as continued use at outpatient follow-up. RESULTS: We identified five discrete pain trajectories among 305 patients. Group 1 remained pain free. Group 2 reported low scores with intermittent spikes and slight increase over time. Group 3 noted increasing pain severity through day 7 with mild improvement until day 14. Group 4 experienced maximum pain with steady decrement over time. Group 5 reported moderate pain with subtle improvement. In multivariable analysis, trajectory groups 3 (odds ratio [OR] 3.5; 95% confidence interval [CI] 1.5–8.3) and 5 (OR 8.0; 95% CI 3.1–21.1), history of depression (OR 3.6; 95% CI 1.3–10.0) and racial/ethnic minority (OR 2.3; 95% CI 1.3–4.1) were associated with continued opioid use at follow-up (median 62 days following admission, interquartile range 48–96). CONCLUSIONS: Discrete pain trajectories following SAH exist. Recognition of pain trajectories may help identify those at risk for long-term opioid use. |
format | Online Article Text |
id | pubmed-8189709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-81897092021-06-10 Pain Trajectories Following Subarachnoid Hemorrhage are Associated with Continued Opioid Use at Outpatient Follow-up Jaffa, Matthew N. Jha, Ruchira M. Elmer, Jonathan Kardon, Adam Podell, Jamie E. Zusman, Benjamin E. Smith, Madeleine C. Simard, J. Marc Parikh, Gunjan Y. Armahizer, Michael J. Badjatia, Neeraj Morris, Nicholas A. Neurocrit Care Original Work BACKGROUND: Subarachnoid hemorrhage (SAH) is characterized by the worst headache of life and associated with long-term opioid use. Discrete pain trajectories predict chronic opioid use following other etiologies of acute pain, but it is unknown whether they exist following SAH. If discrete pain trajectories following SAH exist, it is uncertain whether they predict long-term opioid use. We sought to characterize pain trajectories after SAH and determine whether they are associated with persistent opioid use. METHODS: We reviewed pain scores from patients admitted to a single tertiary care center for SAH from November 2015 to September 2019. Group-based trajectory modeling identified discrete pain trajectories during hospitalization. We compared outcomes across trajectory groups using χ(2) and Kruskal–Wallis tests. Multivariable regression determined whether trajectory group membership was an independent predictor of long-term opioid use, defined as continued use at outpatient follow-up. RESULTS: We identified five discrete pain trajectories among 305 patients. Group 1 remained pain free. Group 2 reported low scores with intermittent spikes and slight increase over time. Group 3 noted increasing pain severity through day 7 with mild improvement until day 14. Group 4 experienced maximum pain with steady decrement over time. Group 5 reported moderate pain with subtle improvement. In multivariable analysis, trajectory groups 3 (odds ratio [OR] 3.5; 95% confidence interval [CI] 1.5–8.3) and 5 (OR 8.0; 95% CI 3.1–21.1), history of depression (OR 3.6; 95% CI 1.3–10.0) and racial/ethnic minority (OR 2.3; 95% CI 1.3–4.1) were associated with continued opioid use at follow-up (median 62 days following admission, interquartile range 48–96). CONCLUSIONS: Discrete pain trajectories following SAH exist. Recognition of pain trajectories may help identify those at risk for long-term opioid use. Springer US 2021-06-09 2021 /pmc/articles/PMC8189709/ /pubmed/34109554 http://dx.doi.org/10.1007/s12028-021-01282-5 Text en © Springer Science+Business Media, LLC, part of Springer Nature and Neurocritical Care Society 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Work Jaffa, Matthew N. Jha, Ruchira M. Elmer, Jonathan Kardon, Adam Podell, Jamie E. Zusman, Benjamin E. Smith, Madeleine C. Simard, J. Marc Parikh, Gunjan Y. Armahizer, Michael J. Badjatia, Neeraj Morris, Nicholas A. Pain Trajectories Following Subarachnoid Hemorrhage are Associated with Continued Opioid Use at Outpatient Follow-up |
title | Pain Trajectories Following Subarachnoid Hemorrhage are Associated with Continued Opioid Use at Outpatient Follow-up |
title_full | Pain Trajectories Following Subarachnoid Hemorrhage are Associated with Continued Opioid Use at Outpatient Follow-up |
title_fullStr | Pain Trajectories Following Subarachnoid Hemorrhage are Associated with Continued Opioid Use at Outpatient Follow-up |
title_full_unstemmed | Pain Trajectories Following Subarachnoid Hemorrhage are Associated with Continued Opioid Use at Outpatient Follow-up |
title_short | Pain Trajectories Following Subarachnoid Hemorrhage are Associated with Continued Opioid Use at Outpatient Follow-up |
title_sort | pain trajectories following subarachnoid hemorrhage are associated with continued opioid use at outpatient follow-up |
topic | Original Work |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189709/ https://www.ncbi.nlm.nih.gov/pubmed/34109554 http://dx.doi.org/10.1007/s12028-021-01282-5 |
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