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Application of PainDETECT in pediatric chronic pain: how well does it identify neuropathic pain and its characteristics?

INTRODUCTION: Neuropathic pain (NP) arises from nerve damage or disease, and when not defined, it can impair function and quality of life. Early detection allows for interventions that can enhance outcomes. Diagnosis of NP can be difficult if not properly evaluated. PainDETECT is a NP screening tool...

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Detalles Bibliográficos
Autores principales: Hess, Courtney W., Van Orden, Amanda R., Mesaroli, Giulia, Stinson, Jennifer N., Borsook, David, Simons, Laura E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686590/
https://www.ncbi.nlm.nih.gov/pubmed/38033717
http://dx.doi.org/10.1097/PR9.0000000000001109
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author Hess, Courtney W.
Van Orden, Amanda R.
Mesaroli, Giulia
Stinson, Jennifer N.
Borsook, David
Simons, Laura E.
author_facet Hess, Courtney W.
Van Orden, Amanda R.
Mesaroli, Giulia
Stinson, Jennifer N.
Borsook, David
Simons, Laura E.
author_sort Hess, Courtney W.
collection PubMed
description INTRODUCTION: Neuropathic pain (NP) arises from nerve damage or disease, and when not defined, it can impair function and quality of life. Early detection allows for interventions that can enhance outcomes. Diagnosis of NP can be difficult if not properly evaluated. PainDETECT is a NP screening tool developed and successfully used in adults. OBJECTIVES: We evaluated the validity of painDETECT in a pediatric population. METHODS: Adolescents and young adults (10–19 years old) completed painDETECT and quantitative sensory testing (QST), which assessed mechanical allodynia and hyperalgesia, common symptoms of NP. Pain diagnoses, including neuropathic pain (n = 10), were collected through documentation in the medical chart. Descriptive statistics were used to examine age, gender, pain diagnoses, and painDETECT scores. Kruskal–Wallis H tests were conducted to examine differences in QST results across painDETECT categorizations. RESULTS: Youth with chronic pain (N = 110, M(age) = 15.08 ± 2.4 years, N(female) = 88) and peers without pain (N = 55, M(age) = 15.84 ± 3.9 years, N(female) = 39) completed the painDETECT. The painDETECT scores for youth with pain (M = 12.7 ± 6.76) were significantly higher than those for peers without pain (M = 2.05 ± 2.41). PainDETECT demonstrated 80% sensitivity and 33% specificity in a pediatric population. Individuals who screened positively on the PainDETECT had significantly higher mechanical allodynia (M = 0.640 ± 0.994) compared with those who screened negatively (M = 0.186 ± 0.499; P = 0.016). CONCLUSION: PainDETECT demonstrated the ability to screen for NP, and QST mechanical allodynia results were consistent with a positive NP screen. Results of the study offer preliminary support for the ongoing assessment of the painDETECT as a brief, inexpensive, and simple-to-use screening tool for pediatric patients with primary pain complaints.
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spelling pubmed-106865902023-11-30 Application of PainDETECT in pediatric chronic pain: how well does it identify neuropathic pain and its characteristics? Hess, Courtney W. Van Orden, Amanda R. Mesaroli, Giulia Stinson, Jennifer N. Borsook, David Simons, Laura E. Pain Rep Pediatric INTRODUCTION: Neuropathic pain (NP) arises from nerve damage or disease, and when not defined, it can impair function and quality of life. Early detection allows for interventions that can enhance outcomes. Diagnosis of NP can be difficult if not properly evaluated. PainDETECT is a NP screening tool developed and successfully used in adults. OBJECTIVES: We evaluated the validity of painDETECT in a pediatric population. METHODS: Adolescents and young adults (10–19 years old) completed painDETECT and quantitative sensory testing (QST), which assessed mechanical allodynia and hyperalgesia, common symptoms of NP. Pain diagnoses, including neuropathic pain (n = 10), were collected through documentation in the medical chart. Descriptive statistics were used to examine age, gender, pain diagnoses, and painDETECT scores. Kruskal–Wallis H tests were conducted to examine differences in QST results across painDETECT categorizations. RESULTS: Youth with chronic pain (N = 110, M(age) = 15.08 ± 2.4 years, N(female) = 88) and peers without pain (N = 55, M(age) = 15.84 ± 3.9 years, N(female) = 39) completed the painDETECT. The painDETECT scores for youth with pain (M = 12.7 ± 6.76) were significantly higher than those for peers without pain (M = 2.05 ± 2.41). PainDETECT demonstrated 80% sensitivity and 33% specificity in a pediatric population. Individuals who screened positively on the PainDETECT had significantly higher mechanical allodynia (M = 0.640 ± 0.994) compared with those who screened negatively (M = 0.186 ± 0.499; P = 0.016). CONCLUSION: PainDETECT demonstrated the ability to screen for NP, and QST mechanical allodynia results were consistent with a positive NP screen. Results of the study offer preliminary support for the ongoing assessment of the painDETECT as a brief, inexpensive, and simple-to-use screening tool for pediatric patients with primary pain complaints. Wolters Kluwer 2023-11-28 /pmc/articles/PMC10686590/ /pubmed/38033717 http://dx.doi.org/10.1097/PR9.0000000000001109 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The International Association for the Study of Pain. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Pediatric
Hess, Courtney W.
Van Orden, Amanda R.
Mesaroli, Giulia
Stinson, Jennifer N.
Borsook, David
Simons, Laura E.
Application of PainDETECT in pediatric chronic pain: how well does it identify neuropathic pain and its characteristics?
title Application of PainDETECT in pediatric chronic pain: how well does it identify neuropathic pain and its characteristics?
title_full Application of PainDETECT in pediatric chronic pain: how well does it identify neuropathic pain and its characteristics?
title_fullStr Application of PainDETECT in pediatric chronic pain: how well does it identify neuropathic pain and its characteristics?
title_full_unstemmed Application of PainDETECT in pediatric chronic pain: how well does it identify neuropathic pain and its characteristics?
title_short Application of PainDETECT in pediatric chronic pain: how well does it identify neuropathic pain and its characteristics?
title_sort application of paindetect in pediatric chronic pain: how well does it identify neuropathic pain and its characteristics?
topic Pediatric
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686590/
https://www.ncbi.nlm.nih.gov/pubmed/38033717
http://dx.doi.org/10.1097/PR9.0000000000001109
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