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Abstract Number: 1218

Social Determinants Shape Health Outcomes in Idiopathic Inflammatory Myopathies: Insights from Lived Experience of 1,252 Patients

Tsvetelina Velikova1, Kostadin Kostadinov2, Emilia Naseva3, Tamar Rubinstein4, Manali Sarkar5, Lavanya Mangla6, Joanna Makowska7, Raphael Micheroli8, Leandro ferreryra9, Linda Kobert10, Ioannis Parodis11, Elena Nikiphorou12, Samuel Shinjo13, Carlo Vinicio Caballero Uribe14, Vincenzo Venerito15, Vikas Agarwal16 and Latika Gupta17, 1Medical Faculty, Sofia University St. Kliment Ohridski, Sofia, Bulgaria, 2Department of Social Medicine and Public Health, Faculty of Public Health, Medical University, Plovdiv; Health and Quality of Life in a Green and Sustainable Environment Research Group, Strategic Research and Innovation Program for the Development of MU- Plovdiv, Medical University of Plovdiv, Environmental Health Division, Research Institute at Medical University of Plovdiv, Medical University of Plovdiv,, Plovdiv, Bulgaria, 3Faculty of Public Health, Medical University of Sofia, 15 Acad. Ivan Evstratiev Geshov, 1606 Sofia; Medical Faculty, Sofia University St. Kliment Ohridski, Sofia, Bulgaria, 4Albert Einstein College of Medicine, White Plains, NY, 5Sir H. N. Reliance Foundation Hospital and Research Centre, Mumbai, Maharashtra, India., Mumbai, Maharashtra, India, 6Maulana Azad Medical College, 2-Bahadurshah Zafar Marg, New Delhi, New Delhi, India, 7Department of Rheumatology, Medical University of Lodz, Lodz, Poland, 8University Hospital Zurich, Zurich, Switzerland, 9HIBA, CABA, Ciudad Autonoma de Buenos Aires, Argentina, 10The Myositis Association, Columbia, MD, 11Karolinska Institutet and Karolinska University Hospital, Department of Medicine Solna, Division of Rheumatology, Stockholm, Sweden, 12King's College London, London, United Kingdom, 13Division of Rheumatology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil, Sao Paulo, Brazil, 14Department of Medicine, Hospital Universidad del Norte, Barranquilla, Atlantico, Colombi, Barranquilla, Colombia, 15Univeristy of Bari "Aldo Moro", Italy, Bari, Bari, Italy, 16Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India, 17School of Infection, Inflammation and Immunology, College of Medicine and Health, University of Birmingham; Royal Wolverhampton NHS Trust; Centre for Musculoskeletal Research, School of Biological Sciences, The University of Manchester, Manchester; Francis Crick Institute, London, Birmingham, UK, United Kingdom

Meeting: ACR Convergence 2025

Keywords: Disease Activity, Myopathies, Myositis, Social support, socioeconomic factors

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Session Information

Date: Monday, October 27, 2025

Title: (1191–1220) Muscle Biology, Myositis & Myopathies – Basic & Clinical Science Poster II

Session Type: Poster Session B

Session Time: 10:30AM-12:30PM

Background/Purpose: The impact of social determinants of health (SDoH)—including socioeconomic status, social support, and geographic context—on disease outcomes in idiopathic inflammatory myopathies (IIM) remains underexplored. We aimed to assess the association between SDoH and disease-related patient-reported outcomes (PROs) in patients with IIMs.

Methods: Data were derived from the third phase of the Collating the Voice of Autoimmune Diseases (COVAD) global e-survey, conducted in 111 countries across multiple languages [Fig.1A]. Descriptive (median, IQR), comparative, regression, and cluster analyses were used to explore associations between SDoH indicators and key patient-reported outcomes [Fig.1B].

Results: From a total of 14902 respondents, 1252 patients with IIM (including DM, PM, IBM, NAM, ASyS, OM, JDM, and CAM), diagnosed by a physician (either a rheumatologist, neurologist, dermatologist or internist), were included [Fig.1C]. The median age was 59 (47-70) years, with 69% females, 70% Caucasian/White, 24% holding postgraduate degrees, 32% smokers, and 61% alcohol consumers, with a median disease duration of 8 (3-16) years [Tab.1]. Half of IIM patients reported high trust in healthcare, 47.2% had little or some trust, and 3.4% reported none [Fig.2A]. In comparison, 74% had insurance, 32.2% trusted in their insurer, 52% live comfortably with the household income, and the median household size was 2 people. Adaptation, partnership, growth, affection, and resolve (APGAR) family score was estimated as 13 (10-15) [Fig.2B]. Among the 62% of participants not providing care for others, the majority were men (80%, p< 0.001), unlike the women caring for older adults (7.3%, p=0.001) and disabled relatives (3.9%, p=0.016). The age of retirement was 60 (53-65), with 52% reporting this was because of the IIM diagnosis. Higher income was associated with better physical function (PROMIS PF 4a, β=3, p< 0.001), less fatigue (β = –1.12, p< 0.001), and reduced pain (β = –1.8, p< 0.001), along with greater resilience (Brief Resilience Score, BRS score ranged 6-30) (β = 1.52, p=0.02). Better family function was positively associated with better overall health perception (PROMIS global, β = 0.3, P< 0.001) and resilience (β = 0.45, p< 0.001), and modestly linked to lower pain levels (β = –0.15, p< 0.001) [Fig.2C]. Trust in the insurer and type of insurance coverage were largely unrelated to PROs. Cluster analysis revealed three IIM clusters: (1) characterized by the best PROMIS scores and family function, (2) reflects the most severely affected group, with the lowest PROMIS scores, highest fatigue and pain levels, and the highest disease activity, while the least employed and report low family function, and (3) a younger, high-functioning group but lower HDI and family function.

Conclusion: SDoH play a significant role in influencing the outcomes in IIM. Factors, such as trust in healthcare, financial stability, and social support are associated with improved PROs, while socioeconomic disadvantage increases disease burden. These findings underscore critical priorities for healthcare providers and policymakers.

Supporting image 1Fig.1: A. Themes and variables for the study; B. Survey responses by country; C. Workflow of respondents selection (Anti-synthetase syndrome disease (ASyS), cancer-associated myositis (CAM), dermatomyositis (DM), inclusion body myositis (IBM), juvenile dermatomyositis (JDM), necrotizing autoimmune myopathy (NAM), overlap myositis (OM), and polymyositis (PM).

Supporting image 2Fig. 2 A. Trust in healthcare; B. APGAR score in IIM subtypes (p < 0.001); C. Heatmap of SDoH impact on PROs (Linear or logistic regression analysis, β coefficient, significant results are denoted by *); D. IIM clusters based on the main SDoH and PROs

Supporting image 3Table 1. Basic demographics and PROs of the IIM patients included in the study


Disclosures: T. Velikova: None; K. Kostadinov: None; E. Naseva: None; T. Rubinstein: None; M. Sarkar: None; L. Mangla: None; J. Makowska: None; R. Micheroli: None; L. ferreryra: None; L. Kobert: None; I. Parodis: Amgen, 5, 6, AstraZeneca, 5, 6, Aurinia, 5, BMS, 5, Eli Lilly, 5, F. Hoffman-La Roche Ltd, 5, 6, Gilead, 6, GSK, 5, 6, Janssen, 6, Novartis, 6, Otsuka, 5, 6, UCB, 2, 5; E. Nikiphorou: AbbVie/Abbott, 1, 2, 6, Alfasigma, 1, 6, Eli Lilly, 1, 2, 5, 6, Fresenius, 1, 6, Galapagos, 1, 6, Gilead, 1, 6, Novartis, 1, 2, 6, Pfizer, 1, 2, 5, 6, UCB, 1, 2, 6; S. Shinjo: None; C. Uribe: None; V. Venerito: None; V. Agarwal: None; L. Gupta: None.

To cite this abstract in AMA style:

Velikova T, Kostadinov K, Naseva E, Rubinstein T, Sarkar M, Mangla L, Makowska J, Micheroli R, ferreryra L, Kobert L, Parodis I, Nikiphorou E, Shinjo S, Uribe C, Venerito V, Agarwal V, Gupta L. Social Determinants Shape Health Outcomes in Idiopathic Inflammatory Myopathies: Insights from Lived Experience of 1,252 Patients [abstract]. Arthritis Rheumatol. 2025; 77 (suppl 9). https://acrabstracts.org/abstract/social-determinants-shape-health-outcomes-in-idiopathic-inflammatory-myopathies-insights-from-lived-experience-of-1252-patients/. Accessed .
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