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Predictive factors associated with successful response to utrasound guided genicular radiofrequency ablation

BACKGROUND: Ultrasound-guided genicular nerve radiofrequency (RF) procedures are of interest in the management of chronic knee pain. A wide variety of demographic, clinical, and procedural characteristics can affect treatment success. This study aimed to determine predictive factors to provide super...

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Autores principales: Kose, Selin Guven, Kose, Halil Cihan, Celikel, Feyza, Akkaya, Omer Taylan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Pain Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530687/
https://www.ncbi.nlm.nih.gov/pubmed/36175344
http://dx.doi.org/10.3344/kjp.2022.35.4.447
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author Kose, Selin Guven
Kose, Halil Cihan
Celikel, Feyza
Akkaya, Omer Taylan
author_facet Kose, Selin Guven
Kose, Halil Cihan
Celikel, Feyza
Akkaya, Omer Taylan
author_sort Kose, Selin Guven
collection PubMed
description BACKGROUND: Ultrasound-guided genicular nerve radiofrequency (RF) procedures are of interest in the management of chronic knee pain. A wide variety of demographic, clinical, and procedural characteristics can affect treatment success. This study aimed to determine predictive factors to provide superior treatment outcomes. METHODS: The demographic, clinical, and technical data of patients who received genicular nerve RF for knee pain between September 2016 and September 2021 were evaluated. A positive outcome was defined as at least 50% pain relief on a pain score for at least 6 months. Logistic regression analysis was performed to determine the factors associated with a successful response to genicular RF. RESULTS: Among 206 patients who underwent genicular RF, 62% of the patients reported successful outcomes at 6 months. In the multivariate model, targeting 5 nerves (odds ratio [OR], 6.184; 95% confidence interval [CI], 2.291–16.690; P < 0.001) was the most significant predictor of successful outcomes. Multivariable logistic regression analysis showed that prognostic genicular nerve block with a 50% cut-off value (OR, 2.109; 95% CI, 1.038–4.287; P = 0.039), no opioid use (OR, 2.753; 95% CI, 1.405–5.393; P = 0.003), and depression (OR, 0.297; 95% CI, 0.124–0.713; P = 0.007) were the predictive factors significantly associated with response to genicular RF. CONCLUSIONS: Clinical and technical factors associated with better treatment outcomes were ultimately targeting more nerves, performing prognostic block, no opioid use, and no depression. These results are expected to be considered when selecting patients for genicular RF.
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spelling pubmed-95306872022-10-12 Predictive factors associated with successful response to utrasound guided genicular radiofrequency ablation Kose, Selin Guven Kose, Halil Cihan Celikel, Feyza Akkaya, Omer Taylan Korean J Pain Clinical Research Articles BACKGROUND: Ultrasound-guided genicular nerve radiofrequency (RF) procedures are of interest in the management of chronic knee pain. A wide variety of demographic, clinical, and procedural characteristics can affect treatment success. This study aimed to determine predictive factors to provide superior treatment outcomes. METHODS: The demographic, clinical, and technical data of patients who received genicular nerve RF for knee pain between September 2016 and September 2021 were evaluated. A positive outcome was defined as at least 50% pain relief on a pain score for at least 6 months. Logistic regression analysis was performed to determine the factors associated with a successful response to genicular RF. RESULTS: Among 206 patients who underwent genicular RF, 62% of the patients reported successful outcomes at 6 months. In the multivariate model, targeting 5 nerves (odds ratio [OR], 6.184; 95% confidence interval [CI], 2.291–16.690; P < 0.001) was the most significant predictor of successful outcomes. Multivariable logistic regression analysis showed that prognostic genicular nerve block with a 50% cut-off value (OR, 2.109; 95% CI, 1.038–4.287; P = 0.039), no opioid use (OR, 2.753; 95% CI, 1.405–5.393; P = 0.003), and depression (OR, 0.297; 95% CI, 0.124–0.713; P = 0.007) were the predictive factors significantly associated with response to genicular RF. CONCLUSIONS: Clinical and technical factors associated with better treatment outcomes were ultimately targeting more nerves, performing prognostic block, no opioid use, and no depression. These results are expected to be considered when selecting patients for genicular RF. The Korean Pain Society 2022-10-01 2022-10-01 /pmc/articles/PMC9530687/ /pubmed/36175344 http://dx.doi.org/10.3344/kjp.2022.35.4.447 Text en © The Korean Pain Society, 2022 https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Research Articles
Kose, Selin Guven
Kose, Halil Cihan
Celikel, Feyza
Akkaya, Omer Taylan
Predictive factors associated with successful response to utrasound guided genicular radiofrequency ablation
title Predictive factors associated with successful response to utrasound guided genicular radiofrequency ablation
title_full Predictive factors associated with successful response to utrasound guided genicular radiofrequency ablation
title_fullStr Predictive factors associated with successful response to utrasound guided genicular radiofrequency ablation
title_full_unstemmed Predictive factors associated with successful response to utrasound guided genicular radiofrequency ablation
title_short Predictive factors associated with successful response to utrasound guided genicular radiofrequency ablation
title_sort predictive factors associated with successful response to utrasound guided genicular radiofrequency ablation
topic Clinical Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530687/
https://www.ncbi.nlm.nih.gov/pubmed/36175344
http://dx.doi.org/10.3344/kjp.2022.35.4.447
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