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Acute Pain Predictors of Remote Postoperative Pain Resolution After Hand Surgery

INTRODUCTION: Chronic postsurgical pain (CPSP) is a global issue with high prevalence. This study compared acute pain descriptors among patients undergoing carpal tunnel release (CTR) or trigger finger release (TFR). We hypothesized worst pain intensity on postoperative day (POD) 10 would be best to...

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Autores principales: Hah, Jennifer M., Nwaneshiudu, Chinwe A., Cramer, Eric M., Carroll, Ian R., Curtin, Catherine M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586397/
https://www.ncbi.nlm.nih.gov/pubmed/33870479
http://dx.doi.org/10.1007/s40122-021-00263-y
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author Hah, Jennifer M.
Nwaneshiudu, Chinwe A.
Cramer, Eric M.
Carroll, Ian R.
Curtin, Catherine M.
author_facet Hah, Jennifer M.
Nwaneshiudu, Chinwe A.
Cramer, Eric M.
Carroll, Ian R.
Curtin, Catherine M.
author_sort Hah, Jennifer M.
collection PubMed
description INTRODUCTION: Chronic postsurgical pain (CPSP) is a global issue with high prevalence. This study compared acute pain descriptors among patients undergoing carpal tunnel release (CTR) or trigger finger release (TFR). We hypothesized worst pain intensity on postoperative day (POD) 10 would be best to predict the time to pain resolution. METHODS: In this secondary analysis of a negative, randomized, double-blind placebo-controlled trial, adult veterans undergoing CTR or TFR were enrolled January 2012–January 2014, with data analysis February 2020–October 2020. Participants were randomized to receive minocycline 200 mg or placebo 2 h prior to the operation, then minocycline 100 mg or placebo twice daily for 5 days. The Brief Pain Inventory, assessed daily, captured three pain scores: average and worst pain over the past 24 h, and current pain intensity. Fifteen acute pain descriptors based on the pain scores (clusters, mean, median, pain scores on POD 10, and linear slopes) were compared as predictors of time to pain resolution. RESULTS: Of 131 randomized participants, 114 (83 CTR, 31 TFR) were included. Average pain over the last 24 h reported on POD 10 best predicted time to pain cessation. Every one-point increase in the average pain score was associated with a 36.0% reduced rate of pain cessation (HR, 0.64, 95% CI 0.55–0.74, p < 0.001). Average pain on POD 10 was significantly associated with the development of CPSP at 90 days (OR 1.74, 95% CI 1.30–2.33, p value < 0.001). The optimal cutoff score for the high-risk group was determined as average pain on POD 10 ≥ 3. CONCLUSIONS: This study validates prior work and demonstrates the importance of assessing pain severity on POD 10 to identify patients at high risk for CPSP who are most likely to benefit from early pain intervention. Future research in diverse surgical cohorts is needed to further validate pain assessment on POD 10 as a significant predictor of CPSP.
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spelling pubmed-85863972021-11-23 Acute Pain Predictors of Remote Postoperative Pain Resolution After Hand Surgery Hah, Jennifer M. Nwaneshiudu, Chinwe A. Cramer, Eric M. Carroll, Ian R. Curtin, Catherine M. Pain Ther Original Research INTRODUCTION: Chronic postsurgical pain (CPSP) is a global issue with high prevalence. This study compared acute pain descriptors among patients undergoing carpal tunnel release (CTR) or trigger finger release (TFR). We hypothesized worst pain intensity on postoperative day (POD) 10 would be best to predict the time to pain resolution. METHODS: In this secondary analysis of a negative, randomized, double-blind placebo-controlled trial, adult veterans undergoing CTR or TFR were enrolled January 2012–January 2014, with data analysis February 2020–October 2020. Participants were randomized to receive minocycline 200 mg or placebo 2 h prior to the operation, then minocycline 100 mg or placebo twice daily for 5 days. The Brief Pain Inventory, assessed daily, captured three pain scores: average and worst pain over the past 24 h, and current pain intensity. Fifteen acute pain descriptors based on the pain scores (clusters, mean, median, pain scores on POD 10, and linear slopes) were compared as predictors of time to pain resolution. RESULTS: Of 131 randomized participants, 114 (83 CTR, 31 TFR) were included. Average pain over the last 24 h reported on POD 10 best predicted time to pain cessation. Every one-point increase in the average pain score was associated with a 36.0% reduced rate of pain cessation (HR, 0.64, 95% CI 0.55–0.74, p < 0.001). Average pain on POD 10 was significantly associated with the development of CPSP at 90 days (OR 1.74, 95% CI 1.30–2.33, p value < 0.001). The optimal cutoff score for the high-risk group was determined as average pain on POD 10 ≥ 3. CONCLUSIONS: This study validates prior work and demonstrates the importance of assessing pain severity on POD 10 to identify patients at high risk for CPSP who are most likely to benefit from early pain intervention. Future research in diverse surgical cohorts is needed to further validate pain assessment on POD 10 as a significant predictor of CPSP. Springer Healthcare 2021-04-18 2021-12 /pmc/articles/PMC8586397/ /pubmed/33870479 http://dx.doi.org/10.1007/s40122-021-00263-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Hah, Jennifer M.
Nwaneshiudu, Chinwe A.
Cramer, Eric M.
Carroll, Ian R.
Curtin, Catherine M.
Acute Pain Predictors of Remote Postoperative Pain Resolution After Hand Surgery
title Acute Pain Predictors of Remote Postoperative Pain Resolution After Hand Surgery
title_full Acute Pain Predictors of Remote Postoperative Pain Resolution After Hand Surgery
title_fullStr Acute Pain Predictors of Remote Postoperative Pain Resolution After Hand Surgery
title_full_unstemmed Acute Pain Predictors of Remote Postoperative Pain Resolution After Hand Surgery
title_short Acute Pain Predictors of Remote Postoperative Pain Resolution After Hand Surgery
title_sort acute pain predictors of remote postoperative pain resolution after hand surgery
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586397/
https://www.ncbi.nlm.nih.gov/pubmed/33870479
http://dx.doi.org/10.1007/s40122-021-00263-y
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