Background: Evidence is emerging that pain in rheumatoid arthritis (RA) exists without underlying inflammation. Our objective was to evaluate the prognostic value of pain classification at treatment initiation using the painDETECT questionnaire (PDQ). Outcomes were change in DAS28-CRP and RAMRIS synovitis score.
Methods: RA patients initiating a disease-modifying anti-rheumatic drug (DMARD) or initiating/ switching a biological agent were included. Follow-up time was 4 months. Clinical examination, imaging (MRI, dynamic contrast-enhanced MRI (DCE-MRI)), and patient-reported outcomes were undertaken. The PDQ was used to differentiate pain mechanisms. Mean change (95% CI) was calculated using ANCOVA. Multivariable regression models were used to determine a prognostic value.
Results: A total of 102 patients were included; 75 were enrolled for MRI. Mean changes in baseline variables were greatest in the high PDQ classification group (> 18), while limited in the intermediate group (13-18). The 12 patients with high baseline PDQ score all changed pain classification group. No prognostic value of PDQ pain classification was found in relation to change of DAS28-CRP, RAMRIS score, or VAS pain. In the unadjusted model, RAMRIS score at baseline was associated with change in DAS28-CRP. The exploratory variables of DCE-MRI did not differ from other inflammatory variables.
Conclusions: In RA patients a high PDQ score (non-nociceptive pain) at baseline was not associated with worse outcomes, in fact these patients had numerically greater improvement in DAS28-CRP. However, pain classification by PDQ was not independently associated with change in DAS28-CRP, RAMRIS score, or VAS pain in the prognostic models. Furthermore, patients classified with a high baseline PDQ score changed pain classification group. Patients with unclear pain mechanism had reduced numerically treatment response.
Trial Registration: The study was approved by the Regional Ethics Committee of the Capital of Denmark April 18 2013; identification number H-3-2013-049 .
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http://dx.doi.org/10.1186/s13075-018-1581-4 | DOI Listing |
Pathologie (Heidelb)
January 2025
Orthopädische Klinik und Poliklinik, Universitätsmedizin Rostock, Rostock, Deutschland.
Joint endoprosthetics is one of the most successful surgical-orthopedic procedures worldwide, enabling pain reduction and complete restoration of mobility. In the Federal Republic of Germany, around 400,000 joint endoprostheses, hip and knee joints are currently implanted every year ( https://www.eprd.
View Article and Find Full Text PDFPharmacol Res
January 2025
Department of Surgical Sciences, Clinical Pain research, Uppsala University, Sweden.
Br J Anaesth
February 2025
Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy.
Machine learning (ML) algorithms hold significant potential for extracting valuable clinical information from big data, surpassing the processing capabilities of the human brain. However, it would be naïve to believe that ML algorithms can consistently transform data into actionable insights. Clinical studies suggest that in some instances, they tell clinicians what they already know or can plainly see.
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January 2025
Department of Radiology, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo Bunkyo-Ku, Tokyo, 113-8421, Japan.
Background: Classifying uterine fibroid using the International Federation of Gynecology and Obstetrics (FIGO) classification system assists treatment decision-making and planning. This study aimed to study whether different fibroid locations influence clinical outcomes following uterine artery embolization (UAE).
Methods: This is a retrospective cohort study of patients who underwent UAE for symptomatic uterine fibroid between December 2016 and January 2023 at our hospital.
J Can Chiropr Assoc
December 2024
Division of Neurosurgery, Université de Montréal.
Objective: This case report discusses the diagnostic challenges associated with the early identification of cauda equina syndrome in a 25-year-old patient without lumbar spinal pain. It introduces a new classification scheme related to a more effective diagnosis.
Clinical Features: The patient experienced pain in the right hamstring, diagnosed as a pulled muscle.
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