Risk factors of nociplastic pain in patients with autoimmune arthritis: web-based cross-sectional survey of patients

This study aimed to identify risk factors of nociplastic pain in patients with autoimmune arthritis. Patients suffering from chronic pain and autoimmune arthritis were invited to participate in a study via moderated support groups on social media. Each invitation included a brief description of nociplastic pain. The study cohort comprised 185 patients, primarily those with rheumatoid arthritis (64%) and spondyloarthropathies (27%). 82% of patients scored positively (≥ 40 points) on the Central Sensitization Inventory (CSI), while 57% showed a neuropathic component as indicated by the PainDetect Questionnaire (PDQ). Of the participants with a positive CSI score, 86% achieved at least a borderline grade on the PDQ. More frequent use of painkillers (> once a day) correlated with higher CSI scores (mean difference (MD) = 7.1, p = 0.039, and MD = 8, p = 0.005 compared to daily and less frequent use, respectively). In a multivariable linear regression model, factors such as depression (β = 8.7, p < 0.001), nocturnal pain (β = 4.5, p = 0.013), need for painkillers (β = 5.3, p = 0.032), disease duration > 2 years (β = 3.3, p = 0.036), Chronic Pain Grade Scale (β = 2.8, from I to IV grade, p < 0.001), and worse mood (β = -0.9, on a 0-10 scale, p = 0.031) were independently associated with higher CSI scores. Nocturnal pain and pain-related disability may serve as clinical risk factors of nociplastic pain. The PDQ may lose its reliability in detecting neuropathic pain in patients with a high nociplastic component.

Authors

Institutions

Publication Details

Journal
Rheumatology International
Published
2025-08-22
DOI
https://doi.org/10.1007/s00296-025-05948-7
Citations
1
Primary Topic
Pain Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
1.16

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Risk factors of nociplastic pain in patients with autoimmune arthritis: web-based cross-sectional survey of patients

Olga Brzezińska, Joanna Makowska, Grzegorz Mirocha
1 citations
Rheumatology International
Pain Mechanisms and Treatments
1.16
article

Risk factors of nociplastic pain in patients with autoimmune arthritis: web-based cross-sectional survey of patients

Olga Brzezińska, Joanna Makowska, Grzegorz Mirocha
article en
1 citations

Abstract

This study aimed to identify risk factors of nociplastic pain in patients with autoimmune arthritis. Patients suffering from chronic pain and autoimmune arthritis were invited to participate in a study via moderated support groups on social media. Each invitation included a brief description of nociplastic pain. The study cohort comprised 185 patients, primarily those with rheumatoid arthritis (64%) and spondyloarthropathies (27%). 82% of patients scored positively (≥ 40 points) on the Central Sensitization Inventory (CSI), while 57% showed a neuropathic component as indicated by the PainDetect Questionnaire (PDQ). Of the participants with a positive CSI score, 86% achieved at least a borderline grade on the PDQ. More frequent use of painkillers (> once a day) correlated with higher CSI scores (mean difference (MD) = 7.1, p = 0.039, and MD = 8, p = 0.005 compared to daily and less frequent use, respectively). In a multivariable linear regression model, factors such as depression (β = 8.7, p < 0.001), nocturnal pain (β = 4.5, p = 0.013), need for painkillers (β = 5.3, p = 0.032), disease duration > 2 years (β = 3.3, p = 0.036), Chronic Pain Grade Scale (β = 2.8, from I to IV grade, p < 0.001), and worse mood (β = -0.9, on a 0-10 scale, p = 0.031) were independently associated with higher CSI scores. Nocturnal pain and pain-related disability may serve as clinical risk factors of nociplastic pain. The PDQ may lose its reliability in detecting neuropathic pain in patients with a high nociplastic component.

Rheumatology InternationalVol. 45(9)
Lodz University of Technology (PL), Medical University of Lodz (PL)
Uniwersytet Łódzki
Openalex Percentile: Top 19%
Pain Mechanisms and Treatments
1.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.