What is associated with painful polyneuropathy? a cross-sectional analysis of symptoms and signs in patients with painful and painless polyneuropathy

It is still unclear how and why some patients develop painful and others painless polyneuropathy. The aim of this study was to identify multiple factors associated with painful polyneuropathies (NeuP). A total of 1181 patients of the multicenter DOLORISK database with painful (probable or definite N...

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Main Authors: Gierthmühlen, J, Attal, N, Baskozos, G, Bennedsgaard, K, Bouhassira, D, Crombez, G, Finnerup, NB, Granovsky, Y, Jensen, TS, John, J, Kennes, LN, Laycock, H, Pascal, MMV, Rice, ASC, Shafran-Topaz, L, Themistocleous, AC, Yarnitsky, D, Bennett, DL, Baron, R
Format: Journal article
Language:English
Published: Lippincott, Williams & Wilkins 2024
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author Gierthmühlen, J
Attal, N
Baskozos, G
Bennedsgaard, K
Bouhassira, D
Crombez, G
Finnerup, NB
Granovsky, Y
Jensen, TS
John, J
Kennes, LN
Laycock, H
Pascal, MMV
Rice, ASC
Shafran-Topaz, L
Themistocleous, AC
Yarnitsky, D
Bennett, DL
Baron, R
author_facet Gierthmühlen, J
Attal, N
Baskozos, G
Bennedsgaard, K
Bouhassira, D
Crombez, G
Finnerup, NB
Granovsky, Y
Jensen, TS
John, J
Kennes, LN
Laycock, H
Pascal, MMV
Rice, ASC
Shafran-Topaz, L
Themistocleous, AC
Yarnitsky, D
Bennett, DL
Baron, R
author_sort Gierthmühlen, J
collection OXFORD
description It is still unclear how and why some patients develop painful and others painless polyneuropathy. The aim of this study was to identify multiple factors associated with painful polyneuropathies (NeuP). A total of 1181 patients of the multicenter DOLORISK database with painful (probable or definite NeuP) or painless (unlikely NeuP) probable or confirmed neuropathy were investigated clinically, with questionnaires and quantitative sensory testing. Multivariate logistic regression including all variables (demographics, medical history, psychological symptoms, personality items, pain-related worrying, life-style factors, as well as results from clinical examination and quantitative sensory testing) and machine learning was used for the identification of predictors and final risk prediction of painful neuropathy. Multivariate logistic regression demonstrated that severity and idiopathic etiology of neuropathy, presence of chronic pain in family, Patient-Reported Outcomes Measurement Information System Fatigue and Depression T-Score, as well as Pain Catastrophizing Scale total score are the most important features associated with the presence of pain in neuropathy. Machine learning (random forest) identified the same variables. Multivariate logistic regression archived an accuracy above 78%, random forest of 76%; thus, almost 4 out of 5 subjects can be classified correctly. This multicenter analysis shows that pain-related worrying, emotional well-being, and clinical phenotype are factors associated with painful (vs painless) neuropathy. Results may help in the future to identify patients at risk of developing painful neuropathy and identify consequences of pain in longitudinal studies.
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spelling oxford-uuid:9871b589-4cd3-40f5-b2a4-a217ff619e902024-10-28T10:11:14ZWhat is associated with painful polyneuropathy? a cross-sectional analysis of symptoms and signs in patients with painful and painless polyneuropathyJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:9871b589-4cd3-40f5-b2a4-a217ff619e90EnglishSymplectic ElementsLippincott, Williams & Wilkins2024Gierthmühlen, JAttal, NBaskozos, GBennedsgaard, KBouhassira, DCrombez, GFinnerup, NBGranovsky, YJensen, TSJohn, JKennes, LNLaycock, HPascal, MMVRice, ASCShafran-Topaz, LThemistocleous, ACYarnitsky, DBennett, DLBaron, RIt is still unclear how and why some patients develop painful and others painless polyneuropathy. The aim of this study was to identify multiple factors associated with painful polyneuropathies (NeuP). A total of 1181 patients of the multicenter DOLORISK database with painful (probable or definite NeuP) or painless (unlikely NeuP) probable or confirmed neuropathy were investigated clinically, with questionnaires and quantitative sensory testing. Multivariate logistic regression including all variables (demographics, medical history, psychological symptoms, personality items, pain-related worrying, life-style factors, as well as results from clinical examination and quantitative sensory testing) and machine learning was used for the identification of predictors and final risk prediction of painful neuropathy. Multivariate logistic regression demonstrated that severity and idiopathic etiology of neuropathy, presence of chronic pain in family, Patient-Reported Outcomes Measurement Information System Fatigue and Depression T-Score, as well as Pain Catastrophizing Scale total score are the most important features associated with the presence of pain in neuropathy. Machine learning (random forest) identified the same variables. Multivariate logistic regression archived an accuracy above 78%, random forest of 76%; thus, almost 4 out of 5 subjects can be classified correctly. This multicenter analysis shows that pain-related worrying, emotional well-being, and clinical phenotype are factors associated with painful (vs painless) neuropathy. Results may help in the future to identify patients at risk of developing painful neuropathy and identify consequences of pain in longitudinal studies.
spellingShingle Gierthmühlen, J
Attal, N
Baskozos, G
Bennedsgaard, K
Bouhassira, D
Crombez, G
Finnerup, NB
Granovsky, Y
Jensen, TS
John, J
Kennes, LN
Laycock, H
Pascal, MMV
Rice, ASC
Shafran-Topaz, L
Themistocleous, AC
Yarnitsky, D
Bennett, DL
Baron, R
What is associated with painful polyneuropathy? a cross-sectional analysis of symptoms and signs in patients with painful and painless polyneuropathy
title What is associated with painful polyneuropathy? a cross-sectional analysis of symptoms and signs in patients with painful and painless polyneuropathy
title_full What is associated with painful polyneuropathy? a cross-sectional analysis of symptoms and signs in patients with painful and painless polyneuropathy
title_fullStr What is associated with painful polyneuropathy? a cross-sectional analysis of symptoms and signs in patients with painful and painless polyneuropathy
title_full_unstemmed What is associated with painful polyneuropathy? a cross-sectional analysis of symptoms and signs in patients with painful and painless polyneuropathy
title_short What is associated with painful polyneuropathy? a cross-sectional analysis of symptoms and signs in patients with painful and painless polyneuropathy
title_sort what is associated with painful polyneuropathy a cross sectional analysis of symptoms and signs in patients with painful and painless polyneuropathy
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