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Use of the painDETECT to discriminate musculoskeletal pain phenotypes

BACKGROUND: Musculoskeletal pain patients present similar pain characteristics regardless of the clinical diagnosis. PainDETECT questionnaire is useful for screening neuropathic-like symptoms in many musculoskeletal conditions. However, no previous studies compared pain phenotypes of patients with m...

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Autores principales: Bittencourt, Juliana Valentim, Bezerra, Márcia Cliton, Pina, Mônica Rotondo, Reis, Felipe José Jandre, de Sá Ferreira, Arthur, Nogueira, Leandro Alberto Calazans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851806/
https://www.ncbi.nlm.nih.gov/pubmed/35172904
http://dx.doi.org/10.1186/s40945-022-00129-2
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author Bittencourt, Juliana Valentim
Bezerra, Márcia Cliton
Pina, Mônica Rotondo
Reis, Felipe José Jandre
de Sá Ferreira, Arthur
Nogueira, Leandro Alberto Calazans
author_facet Bittencourt, Juliana Valentim
Bezerra, Márcia Cliton
Pina, Mônica Rotondo
Reis, Felipe José Jandre
de Sá Ferreira, Arthur
Nogueira, Leandro Alberto Calazans
author_sort Bittencourt, Juliana Valentim
collection PubMed
description BACKGROUND: Musculoskeletal pain patients present similar pain characteristics regardless of the clinical diagnosis. PainDETECT questionnaire is useful for screening neuropathic-like symptoms in many musculoskeletal conditions. However, no previous studies compared pain phenotypes of patients with musculoskeletal pain using the painDETECT. Therefore, the current study aimed to compare the pain characteristics of patients with musculoskeletal pain classified according to the painDETECT as nociceptive pain, unclear, and neuropathic-like symptoms. METHODS: A cross-sectional study was conducted in 308 participants with musculoskeletal pain. Demographic and clinical characteristics of the participants were examined. Neuropathic-like symptoms, pain intensity, pain area, Central Sensitization-related sign and symptoms, functional limitation, and conditioned pain modulation were assessed in patients with musculoskeletal pain. Independent one-way analysis of variance (ANOVA) was used to test for between-group differences for the outcome measures with continuous variables and Pearson chi-square test verified between-group differences on the efficiency of the conditioned pain modulation. RESULTS: Participants had a mean age of 52.21 (±15.01) years old and 220 (71.42%) were females. One hundred seventy-three (56.16%) participants present nociceptive pain, 69 (22.40%) unclear, and 66 (21.42%) neuropathic-like symptoms. A one-way ANOVA showed differences for the pain intensity [F (2,305) = 20.097; p < .001], pain area [F (2,305) = 28.525; p < .001], Central Sensitization-related sign and symptoms [F (2,305) = 54.186; p < .001], and functional limitation [F (2,256) = 8.061; p < .001]. However, conditioned pain modulation was similarly impaired among the three groups (X(2) = 0.333, p = 0.847). CONCLUSION: Patients with neuropathic-like symptoms revealed unfavorable pain characteristics compared to their counterparts, including pain intensity, generalized pain, Central Sensitization-related sign and symptoms, and functional limitation.
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spelling pubmed-88518062022-02-22 Use of the painDETECT to discriminate musculoskeletal pain phenotypes Bittencourt, Juliana Valentim Bezerra, Márcia Cliton Pina, Mônica Rotondo Reis, Felipe José Jandre de Sá Ferreira, Arthur Nogueira, Leandro Alberto Calazans Arch Physiother Research Article BACKGROUND: Musculoskeletal pain patients present similar pain characteristics regardless of the clinical diagnosis. PainDETECT questionnaire is useful for screening neuropathic-like symptoms in many musculoskeletal conditions. However, no previous studies compared pain phenotypes of patients with musculoskeletal pain using the painDETECT. Therefore, the current study aimed to compare the pain characteristics of patients with musculoskeletal pain classified according to the painDETECT as nociceptive pain, unclear, and neuropathic-like symptoms. METHODS: A cross-sectional study was conducted in 308 participants with musculoskeletal pain. Demographic and clinical characteristics of the participants were examined. Neuropathic-like symptoms, pain intensity, pain area, Central Sensitization-related sign and symptoms, functional limitation, and conditioned pain modulation were assessed in patients with musculoskeletal pain. Independent one-way analysis of variance (ANOVA) was used to test for between-group differences for the outcome measures with continuous variables and Pearson chi-square test verified between-group differences on the efficiency of the conditioned pain modulation. RESULTS: Participants had a mean age of 52.21 (±15.01) years old and 220 (71.42%) were females. One hundred seventy-three (56.16%) participants present nociceptive pain, 69 (22.40%) unclear, and 66 (21.42%) neuropathic-like symptoms. A one-way ANOVA showed differences for the pain intensity [F (2,305) = 20.097; p < .001], pain area [F (2,305) = 28.525; p < .001], Central Sensitization-related sign and symptoms [F (2,305) = 54.186; p < .001], and functional limitation [F (2,256) = 8.061; p < .001]. However, conditioned pain modulation was similarly impaired among the three groups (X(2) = 0.333, p = 0.847). CONCLUSION: Patients with neuropathic-like symptoms revealed unfavorable pain characteristics compared to their counterparts, including pain intensity, generalized pain, Central Sensitization-related sign and symptoms, and functional limitation. BioMed Central 2022-02-17 /pmc/articles/PMC8851806/ /pubmed/35172904 http://dx.doi.org/10.1186/s40945-022-00129-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Bittencourt, Juliana Valentim
Bezerra, Márcia Cliton
Pina, Mônica Rotondo
Reis, Felipe José Jandre
de Sá Ferreira, Arthur
Nogueira, Leandro Alberto Calazans
Use of the painDETECT to discriminate musculoskeletal pain phenotypes
title Use of the painDETECT to discriminate musculoskeletal pain phenotypes
title_full Use of the painDETECT to discriminate musculoskeletal pain phenotypes
title_fullStr Use of the painDETECT to discriminate musculoskeletal pain phenotypes
title_full_unstemmed Use of the painDETECT to discriminate musculoskeletal pain phenotypes
title_short Use of the painDETECT to discriminate musculoskeletal pain phenotypes
title_sort use of the paindetect to discriminate musculoskeletal pain phenotypes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851806/
https://www.ncbi.nlm.nih.gov/pubmed/35172904
http://dx.doi.org/10.1186/s40945-022-00129-2
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