TY - JOUR
T1 - The impact of multimorbidity on Quality of Life in inflammatory myopathies
T2 - A cluster analysis from the COVAD dataset
AU - on behalf of CoVAD Study Group
AU - Fornaro, Marco
AU - Venerito, Vincenzo
AU - Pellico, Maria Rosa
AU - Iannone, Florenzo
AU - Joshi, Mrudula
AU - Chen, Yi Ming
AU - Tan, Ai Lyn
AU - Saha, Sreoshy
AU - Chatterjee, Tulika
AU - Agarwal, Vishwesh
AU - Shinjo, Samuel Katsuyuki
AU - Hoff, Leonardo Santos
AU - Kadam, Esha
AU - Ziade, Nelly
AU - Velikova, Tsvetelina
AU - Hasan, A. T.M.Tanveer
AU - Shumnalieva, Russka
AU - Milchert, Marcin
AU - Tan, Chou Luan
AU - Gracia-Ramos, Abraham Edgar
AU - Cavagna, Lorenzo
AU - Vaidya, Binit
AU - Kuwana, Masataka
AU - Shaharir, Syahrul Sazliyana
AU - Knitza, Johannes
AU - Makol, Ashima
AU - Tehozol, Erick Adrian Zamora
AU - Serrano, Jorge Rojas
AU - Halabi, Hussein
AU - Dey, Dzifa
AU - Toro-Gutiérrez, Carlos Enrique
AU - Goo, Phonpen Akarawatcharangura
AU - Caballero-Uribe, Carlo V.
AU - Distler, Oliver
AU - Katchamart, Wanruchada
AU - Day, Jessica
AU - Parodis, Ioannis
AU - Nikiphorou, Elena
AU - Chinoy, Hector
AU - Agarwal, Vikas
AU - Gupta, Latika
AU - Sen, Parikshit
AU - Javaid, Mahnoor
AU - Andreoli, Laura
AU - Lini, Daniele
AU - Schreiber, Karen
AU - Nune, Arvind
AU - Patel, Aarat
AU - Pauling, John D.
AU - Wincup, Chris
N1 - Publisher Copyright:
© The Author(s) 2024. Published by Oxford University Press on behalf of the British Society for Rheumatology.
PY - 2025/4/1
Y1 - 2025/4/1
N2 - Objective: The presence of comorbidities can substantially affect patients’ quality of life, but data regarding their impact on idiopathic inflammatory myopathies (IIMs) are limited. Methods: We examined the prevalence of comorbidities in IIM patients, other autoimmune rheumatic diseases (oAIRDs) and healthy controls (HCs), using data from the self-reported COVAD-2 survey. We defined basic multimorbidity (BM) as the presence of ≥2 non-rheumatic chronic conditions and complex multimorbidity (CM) as the presence of ≥3 non-rheumatic chronic conditions affecting ≥3 organ systems. Hierarchical clustering on principal components was performed for grouping. Results: Among the COVAD respondents, 1558 IIMs, 4591 oAIRDs and 3652 HCs were analysed. IIMs exhibited a high burden of comorbidities (odds ratio [OR]: 1.62 vs oAIRDs and 2.95 vs HCs, P<0.01), BM (OR: 1.66 vs oAIRDs and 3.52 vs HCs, P<0.01), CM (OR: 1.69 vs AIRDs and 6.23 vs HCs, P<0.01) and mental health disorders (MHDs) (OR: 1.33 vs oAIRDs and 2.63 vs HCs, P<0.01). Among the IIM patients, those with comorbidities or MHDs had lower PROMIS Global Physical (PGP), PROMIS Global Mental (PGM), and PROMIS Physical Function (SF10) scores, and higher fatigue (F4a) scores (all P<0.001). PGP, PGM, SF10a and F4a were influenced by age, active disease, BM and MHDs. Four distinct clusters were identified among the IIMs according to comorbidities and PROMIS scores. Conclusion: Patients with IIMs have a higher burden of comorbidities that influence physical and mental health, identifiable as clinical clusters for optimized and holistic management approaches.
AB - Objective: The presence of comorbidities can substantially affect patients’ quality of life, but data regarding their impact on idiopathic inflammatory myopathies (IIMs) are limited. Methods: We examined the prevalence of comorbidities in IIM patients, other autoimmune rheumatic diseases (oAIRDs) and healthy controls (HCs), using data from the self-reported COVAD-2 survey. We defined basic multimorbidity (BM) as the presence of ≥2 non-rheumatic chronic conditions and complex multimorbidity (CM) as the presence of ≥3 non-rheumatic chronic conditions affecting ≥3 organ systems. Hierarchical clustering on principal components was performed for grouping. Results: Among the COVAD respondents, 1558 IIMs, 4591 oAIRDs and 3652 HCs were analysed. IIMs exhibited a high burden of comorbidities (odds ratio [OR]: 1.62 vs oAIRDs and 2.95 vs HCs, P<0.01), BM (OR: 1.66 vs oAIRDs and 3.52 vs HCs, P<0.01), CM (OR: 1.69 vs AIRDs and 6.23 vs HCs, P<0.01) and mental health disorders (MHDs) (OR: 1.33 vs oAIRDs and 2.63 vs HCs, P<0.01). Among the IIM patients, those with comorbidities or MHDs had lower PROMIS Global Physical (PGP), PROMIS Global Mental (PGM), and PROMIS Physical Function (SF10) scores, and higher fatigue (F4a) scores (all P<0.001). PGP, PGM, SF10a and F4a were influenced by age, active disease, BM and MHDs. Four distinct clusters were identified among the IIMs according to comorbidities and PROMIS scores. Conclusion: Patients with IIMs have a higher burden of comorbidities that influence physical and mental health, identifiable as clinical clusters for optimized and holistic management approaches.
KW - autoinflammatory condition
KW - comorbidity
KW - myositis
KW - observational studies
KW - quality of life
UR - https://www.scopus.com/pages/publications/105002248724
U2 - 10.1093/rheumatology/keae520
DO - 10.1093/rheumatology/keae520
M3 - Review article
C2 - 39324556
AN - SCOPUS:105002248724
SN - 1462-0324
VL - 64
SP - 2133
EP - 2142
JO - Rheumatology
JF - Rheumatology
IS - 4
ER -