Royal Wolverhampton NHS Trust Wolverhampton, United Kingdom
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Akira Yoshida1, Yuan Li2, Vahed Maroufy2, Masataka Kuwana1, Naveen R3, Ashima Makol4, Parikshit Sen5, James Lilleker6, Vishwesh Agarwal7, Sinan Kardes8, Jessica Day9, Marcin Milchert10, Mrudula Joshi11, Tamer A Gheita12, Babur Salim13, Tsvetelina Velikova14, Abraham Edgar Gracia-Ramos15, Ioannis Parodis16, Elena Nikiphorou17, Ai Lyn Tan18, Arvind Nune19, Lorenzo Cavagna20, Miguel Angel Saavedra Salinas21, Samuel Shinjo22, Nelly Ziade23, Johannes Knitza24, Oliver Distler25, Hector Chinoy26, Vikas Agarwal3, Rohit Aggarwal27, Latika Gupta28 and COVAD Study Group29, 1Nippon Medical School Graduate School of Medicine, Tokyo, Japan, 2University of Texas Health Science Center at Houston, Houston, TX, 3Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, India, 4Mayo Clinic, Rochester, MN, Rochester, MN, 5Maulana Azad Medical College, 2-Bahadurshah Zafar Marg, New Delhi, Delhi-110002, India., Dalhi, India, 6Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK; Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Salford, UK. Orcid ID: 0000-0002-9230-4137., Manchester, United Kingdom, 7Mahatma Gandhi Missions Medical College, Lucknow, India, 8Istanbul University, Istanbul, Turkey, 9Walter and Eliza Hall Institute, Melbourne, Australia, 10Department of Internal Medicine, Rheumatology, Diabetology, Geriatrics and Clinical Immunology, Pomeranian Medical University in Szczecin, Szczecin, Poland, 11Byramjee Jeejeebhoy Government Medical College and Sassoon General Hospitals, Pune, India, 12Kasr Al Ainy School of Medicine, Cairo University, Cairo, Egypt, 13Fauji foundation hospital Rawalpindi, Rawalpindi, Pakistan, 14Department of Clinical Immunology, Medical Faculty, University Hospital "Lozenetz", Sofia University St. Kliment Ohridski, Sofia, Bulgaria, 15Department of Internal Medicine, General Hospital, National Medical Center "La Raza", Instituto Mexicano del Seguro Social, Av. Jacaranda S/N, Col. La Raza, Del. Azcapotzalco, C.P. 02990, Mexico City, Mexico, 16Karolinska Institutet, Stockholm, Sweden, 17King's College London, London, United Kingdom, 18University of Leeds, Leeds, United Kingdom, 19Southport & Ormskirk NHS Foundation Trust, Liverpool, United Kingdom, 20Fondazione IRCCS Policlinico San Matteo, Pavia, Italy, 21IMSS, Mexico City, Mexico, 22Faculdade de Medicina FMUSP, Universidade de Sao Paulo, São Paulo, Brazil, 23Saint-Joseph University, Beirut, Lebanon, 24Department of Internal Medicine 3 Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg, University Hospital Erlangen, Erlangen, Germany, 25Department of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland, 26The University of Manchester, Sale, United Kingdom, 27University of Pittsburgh, Pittsburgh, PA, 28Royal Wolverhampton Trust, Wolverhampton/University of Manchester, United Kingdom, 29-, -
Background/Purpose: The significance of Health-related quality of life (HRQoL) in patients with autoimmune diseases is well acknowledged. Unfortunately, there is dearth of data on the HRQoL in patients with idiopathic inflammatory myopathies (IIMs)and factors adversely impacting it.
Methods: HRQoL was measured in patients classifiable as IIMs and compared with non-IIM autoimmune inflammatory rheumatic diseases (AIRDs), non-rheumatic autoimmune inflammatory diseases (NRAIDs), and healthy controls, using Patient-Reported Outcome Measurement Information System (PROMIS) instrument data obtained through the 2nd COVID-19 vaccination in autoimmune disease (COVAD-2), a global patient reported e-survey that was extensively validated and pilot tested by a team of experts (160 collaborators, 100 countries).
Demographics, diagnoses, comorbidities, disease activity, treatments, and PROMIS instrument data were extracted from the COVAD-2 database. (Fig. 1D) Primary outcomes were PROMIS Global Physical Health (GPH) and Mental Health (GMH). Secondary outcomes were PROMIS Physical Function 10a (PF-10a), Fatigue-4a scores, and Pain Visual Analog Scores (VAS).
Independent factors affecting GPH and GMH scores in IIMs, also in the whole population were identified using multivariable regression analysis (Fig. 2) Each PROM was stratified by IIM subgroups. (Fig. 3)
Results: Complete responses from 1582 IIMs, 4700 non-IIM AIRDs, 545 NRAIDs, and 3675 controls as of May 22 were analysed. (Fig. 1A)
Notably GPH scores were the lowest in IIMs (Fig. 2A). GMH scores in IIMs were also substantially lower than in controls (Fig. 2B) PROMIS PF-10a scores were the lowest in IIMs. (Fig. 2C) pain VAS scores were the highest in patients with non-IIM AIRDs (Fig. 2D) PROMIS Fatigue-4a scores were the highest in IIMs (Fig. 2E) indicating increased fatigue in patients with IIMs.
Among IIM subsets, PROMIS GPH and PF-10a scores were the lowest in patients with IBM. (Fig. 3A & 3C) PROMIS GMH scores were lower in patients with ASSD or OM compared to other subtypes (Fig. 3B). Pain VAS (Fig. 3D) andPROMIS Fatigue-4a scores were the highest in patients with OM (Fig. 3E).
Older age, IBM, hypertension, diabetes, active disease, glucocorticoid use, and higher fatigue scores were the factors for lower GPH scores in IIMs (Fig. 1B), whereas interstitial lung disease, mental disorders, active disease, higher pain VAS, and fatigue scores were independently associated with lower GMH scores in IIMs (Fig. 1C).
Multivariable regression analysis in the overall population identified older age, women, longer disease duration, diagnosis of autoimmune inflammatory diseases including IIMs, and comorbidities as independent factors for lower PROMIS GPH scores. (Fig. 1E) On the contrary, younger age, women, Asian ethnicity, diagnosis of autoimmune inflammatory diseases including IIMs, and comorbidities were independently associated with lower PROMIS GMH scores (Fig. 1F)
Conclusion: Both physical and mental health are significantly impaired in patients with IIMs particularly the elderly, IBM and those with specific comorbidities, calling for greater attention and optimized multidisciplinary care to enhance patient-reported experience and global well-being in this population.
Figure 1 (A) A flow diagram of participant selection (B) Demographics and clinical characteristics of the participants included the COVAD-2 e-survey (C) Multivariable regression analysis to identify factors affecting PROMIS GMH score in patients with IIMs
Figure 2: HRQoL in IIM patients, in comparison with non-IIM AIRDs, NRAIDs and Controls (A): PROMIS GPH scores (B): PROMIS GMH scores (C): PROMIS PH-10a score (D): Pain VAS score (E): PROMIS Fatigue-4a score
Figure 3: HRQoL in patients with IIMs subtypes (A): PROMIS GPH scores (B): PROMIS GMH scores (C): PROMIS PH-10a score (D): Pain VAS score (E): PROMIS Fatigue-4a score