The Problem of Pain in Lupus: Epidemiological Profiles of Patients Attending Multidisciplinary Pain Clinics.


Journal

Pain management nursing : official journal of the American Society of Pain Management Nurses
ISSN: 1532-8635
Titre abrégé: Pain Manag Nurs
Pays: United States
ID NLM: 100890606

Informations de publication

Date de publication:
16 Mar 2024
Historique:
received: 06 10 2023
revised: 12 02 2024
accepted: 16 02 2024
medline: 18 3 2024
pubmed: 18 3 2024
entrez: 17 3 2024
Statut: aheadofprint

Résumé

Patients with systemic lupus erythematosus (SLE) bear a significant burden of pain. We aimed to identify factors that distinguish patients with SLE referred to comprehensive pain clinics and those who are not. Characterizing this patient population will identify unmet needs in SLE management and inform efforts to improve pain care in rheumatology. Among patients with SLE with ≥2 rheumatology clinic visits in a large hospital system from 1998 to 2023 (n = 1319), we examined factors that distinguished those who had at least one visit to multidisciplinary pain clinics (n = 77, 5.8%) from those who did not have any visits (n = 1242, 94.2%) with a focus on biopsychosocial and socioeconomic characteristics. We extracted demographic data and ICD-9/ICD-10 codes from the EHR. Patients with SLE attending the pain clinics exhibited characteristics including average older age (mean age ± SD: 54.1 ± 17.9 vs. 48.4 ± 19.9), a higher likelihood of relying on public health insurance (50.7% vs. 34.2%), and a greater representation of Black patients (9.1% vs. 4.4%) compared to SLE patients not seen in pain clinics. Nearly all patients seen at the pain clinics presented with at least one chronic overlapping pain condition (96.1% vs. 58.6%), demonstrated a higher likelihood of having a mental health diagnosis (76.7% vs. 42.4%), and exhibited a greater number of comorbidities (mean ± SD: 6.0 ± 3.0 vs. 2.9 ± 2.6) compared to those not attending the pain clinic. We found notable sociodemographic and clinical differences between these patient populations. Patients presenting with multiple comorbidities might benefit from further pain screening and referral to pain clinics to provide comprehensive care, and earlier referral could mitigate the development and progression of multimorbidities.

Identifiants

pubmed: 38494346
pii: S1524-9042(24)00021-3
doi: 10.1016/j.pmn.2024.02.012
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors have no conflicts of interest to report.

Auteurs

Tiffany E Jiang (TE)

Department of Epidemiology and Population Sciences, Stanford University School of Medicine, Stanford, CA.

Alissa P Pascual (AP)

Department of Human Biology, Stanford University, Stanford, CA.

Nathan Le (N)

University of California, Los Angeles, CA.

Thy B Nguyen (TB)

Department of Epidemiology and Population Sciences, Stanford University School of Medicine, Stanford, CA.

Sean Mackey (S)

Departments of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine Stanford, CA; Department of Neurology, Stanford University School of Medicine, Stanford, CA.

Beth D Darnall (BD)

Departments of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine Stanford, CA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA.

Julia F Simard (JF)

Department of Epidemiology and Population Sciences, Stanford University School of Medicine, Stanford, CA; Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA; Departments of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA.

Titilola Falasinnu (T)

Departments of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine Stanford, CA; Departments of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA. Electronic address: tof@stanford.edu.

Classifications MeSH