Differential response to scrambler therapy by neuropathic pain phenotypes

Abstract Scrambler therapy is a noninvasive electroanalgesia technique designed to remodulate the pain system. Despite growing evidence of its efficacy in patients with neuropathic pain, little is known about the clinical factors associated with treatment outcome. We conducted a prospective, open-la...

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Autores principales:	Young Gi Min, Hyun Seok Baek, Kyoung-Min Lee, Yoon-Ho Hong
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f4fa45de515c4417a7f088efae2994e7
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spelling	oai:doaj.org-article:f4fa45de515c4417a7f088efae2994e72021-12-02T15:43:23ZDifferential response to scrambler therapy by neuropathic pain phenotypes10.1038/s41598-021-89667-62045-2322https://doaj.org/article/f4fa45de515c4417a7f088efae2994e72021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89667-6https://doaj.org/toc/2045-2322Abstract Scrambler therapy is a noninvasive electroanalgesia technique designed to remodulate the pain system. Despite growing evidence of its efficacy in patients with neuropathic pain, little is known about the clinical factors associated with treatment outcome. We conducted a prospective, open-label, single-arm trial to assess the efficacy and safety of scrambler therapy in patients with chronic neuropathic pain of various etiologies. A post-hoc analysis was performed to investigate whether cluster analysis of the Neuropathic Pain Symptom Inventory (NPSI) profiles could identify a subgroup of patients regarding neuropathic pain phenotype and treatment outcome. Scrambler therapy resulted in a significant decrease in the pain numerical rating scale (NRS) score over 2 weeks of treatment (least squares mean of percentage change from baseline, − 15%; 95% CI − 28% to − 2.4%; p < 0.001). The mean score of Brief Pain Inventory (BPI) interference subdimension was also significantly improved (p = 0.022), while the BPI pain composite score was not. Hierarchical clustering based on the NPSI profiles partitioned the patients into 3 clusters with distinct neuropathic pain phenotypes. Linear mixed-effects model analyses revealed differential response to scrambler therapy across clusters (p = 0.003, pain NRS; p = 0.072, BPI interference subdimension). Treatment response to scrambler therapy appears different depending on the neuropathic pain phenotypes, with more favorable outcomes in patients with preferentially paroxysmal pain rather than persistent pain. Further studies are warranted to confirm that capturing neuropathic pain phenotypes can optimize the use of scrambler therapy.Young Gi MinHyun Seok BaekKyoung-Min LeeYoon-Ho HongNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Young Gi Min Hyun Seok Baek Kyoung-Min Lee Yoon-Ho Hong Differential response to scrambler therapy by neuropathic pain phenotypes
description	Abstract Scrambler therapy is a noninvasive electroanalgesia technique designed to remodulate the pain system. Despite growing evidence of its efficacy in patients with neuropathic pain, little is known about the clinical factors associated with treatment outcome. We conducted a prospective, open-label, single-arm trial to assess the efficacy and safety of scrambler therapy in patients with chronic neuropathic pain of various etiologies. A post-hoc analysis was performed to investigate whether cluster analysis of the Neuropathic Pain Symptom Inventory (NPSI) profiles could identify a subgroup of patients regarding neuropathic pain phenotype and treatment outcome. Scrambler therapy resulted in a significant decrease in the pain numerical rating scale (NRS) score over 2 weeks of treatment (least squares mean of percentage change from baseline, − 15%; 95% CI − 28% to − 2.4%; p < 0.001). The mean score of Brief Pain Inventory (BPI) interference subdimension was also significantly improved (p = 0.022), while the BPI pain composite score was not. Hierarchical clustering based on the NPSI profiles partitioned the patients into 3 clusters with distinct neuropathic pain phenotypes. Linear mixed-effects model analyses revealed differential response to scrambler therapy across clusters (p = 0.003, pain NRS; p = 0.072, BPI interference subdimension). Treatment response to scrambler therapy appears different depending on the neuropathic pain phenotypes, with more favorable outcomes in patients with preferentially paroxysmal pain rather than persistent pain. Further studies are warranted to confirm that capturing neuropathic pain phenotypes can optimize the use of scrambler therapy.
format	article
author	Young Gi Min Hyun Seok Baek Kyoung-Min Lee Yoon-Ho Hong
author_facet	Young Gi Min Hyun Seok Baek Kyoung-Min Lee Yoon-Ho Hong
author_sort	Young Gi Min
title	Differential response to scrambler therapy by neuropathic pain phenotypes
title_short	Differential response to scrambler therapy by neuropathic pain phenotypes
title_full	Differential response to scrambler therapy by neuropathic pain phenotypes
title_fullStr	Differential response to scrambler therapy by neuropathic pain phenotypes
title_full_unstemmed	Differential response to scrambler therapy by neuropathic pain phenotypes
title_sort	differential response to scrambler therapy by neuropathic pain phenotypes
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f4fa45de515c4417a7f088efae2994e7
work_keys_str_mv	AT younggimin differentialresponsetoscramblertherapybyneuropathicpainphenotypes AT hyunseokbaek differentialresponsetoscramblertherapybyneuropathicpainphenotypes AT kyoungminlee differentialresponsetoscramblertherapybyneuropathicpainphenotypes AT yoonhohong differentialresponsetoscramblertherapybyneuropathicpainphenotypes
_version_	1718385847051485184

Differential response to scrambler therapy by neuropathic pain phenotypes

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