The impact of multimorbidity on Quality of Life in inflammatory myopathies: A cluster analysis from the COVAD dataset
3
Issued Date
2025-04-01
Resource Type
ISSN
14620324
eISSN
14620332
Scopus ID
2-s2.0-105002248724
Pubmed ID
39324556
Journal Title
Rheumatology
Volume
64
Issue
4
Start Page
2133
End Page
2142
Rights Holder(s)
SCOPUS
Bibliographic Citation
Rheumatology Vol.64 No.4 (2025) , 2133-2142
Suggested Citation
Fornaro M., Venerito V., Pellico M.R., Iannone F., Joshi M., Chen Y.M., Tan A.L., Saha S., Chatterjee T., Agarwal V., Shinjo S.K., Hoff L.S., Kadam E., Ziade N., Velikova T., Hasan A.T.M.T., Shumnalieva R., Milchert M., Tan C.L., Gracia-Ramos A.E., Cavagna L., Vaidya B., Kuwana M., Shaharir S.S., Knitza J., Makol A., Tehozol E.A.Z., Serrano J.R., Halabi H., Dey D., Toro-Gutiérrez C.E., Goo P.A., Caballero-Uribe C.V., Distler O., Katchamart W., Day J., Parodis I., Nikiphorou E., Chinoy H., Agarwal V., Gupta L., Sen P., Javaid M., Andreoli L., Lini D., Schreiber K., Nune A., Patel A., Pauling J.D., Wincup C., Barman B., García-De La Torre I., Colunga-Pedraza I.J., Merayo-Chalico J., Chibuzo O.C., El Kibbi L., Lilleker J.B., Salim B., Gheita T., Saavedra M.A., Griger Z., Kardes S., Vince M.N., Singh Y.P., Ranjan R., Jain A., Pandya S.C., Pilania R.K., Sharma A., Manoj M.M., Gupta V., Kavadichanda C.G., Patro P.S., Ajmani S., Phatak S., Goswami R.P., Chowdhury A.C., Mathew A.J., Shenoy P., Asranna A., Bommakanti K.T., Shukla A., Pande A.R., Chandwar K., Ghodke A., Boro H., Fazal Z.Z., Cansu D.Ü., Yıldırım R., Gasparyan A.Y., Del Papa N., Sambataro G., Fabiola A., Govoni M., Parisi S., Bocci E.B., Sebastiani G.D., Fusaro E., Sebastiani M., Quartuccio L. The impact of multimorbidity on Quality of Life in inflammatory myopathies: A cluster analysis from the COVAD dataset. Rheumatology Vol.64 No.4 (2025) , 2133-2142. 2142. doi:10.1093/rheumatology/keae520 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/109545
Title
The impact of multimorbidity on Quality of Life in inflammatory myopathies: A cluster analysis from the COVAD dataset
Author(s)
Fornaro M.
Venerito V.
Pellico M.R.
Iannone F.
Joshi M.
Chen Y.M.
Tan A.L.
Saha S.
Chatterjee T.
Agarwal V.
Shinjo S.K.
Hoff L.S.
Kadam E.
Ziade N.
Velikova T.
Hasan A.T.M.T.
Shumnalieva R.
Milchert M.
Tan C.L.
Gracia-Ramos A.E.
Cavagna L.
Vaidya B.
Kuwana M.
Shaharir S.S.
Knitza J.
Makol A.
Tehozol E.A.Z.
Serrano J.R.
Halabi H.
Dey D.
Toro-Gutiérrez C.E.
Goo P.A.
Caballero-Uribe C.V.
Distler O.
Katchamart W.
Day J.
Parodis I.
Nikiphorou E.
Chinoy H.
Agarwal V.
Gupta L.
Sen P.
Javaid M.
Andreoli L.
Lini D.
Schreiber K.
Nune A.
Patel A.
Pauling J.D.
Wincup C.
Barman B.
García-De La Torre I.
Colunga-Pedraza I.J.
Merayo-Chalico J.
Chibuzo O.C.
El Kibbi L.
Lilleker J.B.
Salim B.
Gheita T.
Saavedra M.A.
Griger Z.
Kardes S.
Vince M.N.
Singh Y.P.
Ranjan R.
Jain A.
Pandya S.C.
Pilania R.K.
Sharma A.
Manoj M.M.
Gupta V.
Kavadichanda C.G.
Patro P.S.
Ajmani S.
Phatak S.
Goswami R.P.
Chowdhury A.C.
Mathew A.J.
Shenoy P.
Asranna A.
Bommakanti K.T.
Shukla A.
Pande A.R.
Chandwar K.
Ghodke A.
Boro H.
Fazal Z.Z.
Cansu D.Ü.
Yıldırım R.
Gasparyan A.Y.
Del Papa N.
Sambataro G.
Fabiola A.
Govoni M.
Parisi S.
Bocci E.B.
Sebastiani G.D.
Fusaro E.
Sebastiani M.
Quartuccio L.
Venerito V.
Pellico M.R.
Iannone F.
Joshi M.
Chen Y.M.
Tan A.L.
Saha S.
Chatterjee T.
Agarwal V.
Shinjo S.K.
Hoff L.S.
Kadam E.
Ziade N.
Velikova T.
Hasan A.T.M.T.
Shumnalieva R.
Milchert M.
Tan C.L.
Gracia-Ramos A.E.
Cavagna L.
Vaidya B.
Kuwana M.
Shaharir S.S.
Knitza J.
Makol A.
Tehozol E.A.Z.
Serrano J.R.
Halabi H.
Dey D.
Toro-Gutiérrez C.E.
Goo P.A.
Caballero-Uribe C.V.
Distler O.
Katchamart W.
Day J.
Parodis I.
Nikiphorou E.
Chinoy H.
Agarwal V.
Gupta L.
Sen P.
Javaid M.
Andreoli L.
Lini D.
Schreiber K.
Nune A.
Patel A.
Pauling J.D.
Wincup C.
Barman B.
García-De La Torre I.
Colunga-Pedraza I.J.
Merayo-Chalico J.
Chibuzo O.C.
El Kibbi L.
Lilleker J.B.
Salim B.
Gheita T.
Saavedra M.A.
Griger Z.
Kardes S.
Vince M.N.
Singh Y.P.
Ranjan R.
Jain A.
Pandya S.C.
Pilania R.K.
Sharma A.
Manoj M.M.
Gupta V.
Kavadichanda C.G.
Patro P.S.
Ajmani S.
Phatak S.
Goswami R.P.
Chowdhury A.C.
Mathew A.J.
Shenoy P.
Asranna A.
Bommakanti K.T.
Shukla A.
Pande A.R.
Chandwar K.
Ghodke A.
Boro H.
Fazal Z.Z.
Cansu D.Ü.
Yıldırım R.
Gasparyan A.Y.
Del Papa N.
Sambataro G.
Fabiola A.
Govoni M.
Parisi S.
Bocci E.B.
Sebastiani G.D.
Fusaro E.
Sebastiani M.
Quartuccio L.
Author's Affiliation
Faculty of Medicine and Health
Siriraj Hospital
Graduate School of Medicine
NIHR Leeds Biomedical Research Centre
Health Innovation Manchester
Pontificia Universidad Javeriana, Cali
Seth GS Medical College and KEM Hospital
Hôtel-Dieu de France Hospital
Université Saint-Joseph de Beyrouth
Universidad del Norte
Università degli Studi di Milano
Sveti Ivan Rilski hospital
Universitätsklinikum Erlangen
Universidade Potiguar
Walter and Eliza Hall Institute of Medical Research
University of Melbourne
Sanjay Gandhi Postgraduate Institute of Medical Sciences
University of Leeds, School of Medicine
University of Illinois College of Medicine
Università degli studi di Bari Aldo Moro
Mymensingh Medical College
King's College Hospital
Sofia University St. Kliment Ohridski
UniversitatsSpital Zurich
Karolinska Universitetssjukhuset
Pomeranian Medical University in Szczecin
University of Ghana
King Faisal Specialist Hospital & Research Centre
Università degli Studi di Pavia
King's College London
Instituto Mexicano del Seguro Social
Instituto Nacional de Enfermedades Respiratorias
Universidade de São Paulo
The Royal Wolverhampton NHS Trust
Veterans General Hospital-Taichung Taiwan
Mayo Clinic
Royal Melbourne Hospital
Salford Royal Hospital
Faculty of Medicine, UKM
National Center for Rheumatic Diseases (NCRD)
Mahatma Gandhi Mission Medical College
Hospital Sultanah Bahiyah
Sassoon General Hospitals
Green Life Medical College
Queen Savang Vadhana Memorial Hospital
Siriraj Hospital
Graduate School of Medicine
NIHR Leeds Biomedical Research Centre
Health Innovation Manchester
Pontificia Universidad Javeriana, Cali
Seth GS Medical College and KEM Hospital
Hôtel-Dieu de France Hospital
Université Saint-Joseph de Beyrouth
Universidad del Norte
Università degli Studi di Milano
Sveti Ivan Rilski hospital
Universitätsklinikum Erlangen
Universidade Potiguar
Walter and Eliza Hall Institute of Medical Research
University of Melbourne
Sanjay Gandhi Postgraduate Institute of Medical Sciences
University of Leeds, School of Medicine
University of Illinois College of Medicine
Università degli studi di Bari Aldo Moro
Mymensingh Medical College
King's College Hospital
Sofia University St. Kliment Ohridski
UniversitatsSpital Zurich
Karolinska Universitetssjukhuset
Pomeranian Medical University in Szczecin
University of Ghana
King Faisal Specialist Hospital & Research Centre
Università degli Studi di Pavia
King's College London
Instituto Mexicano del Seguro Social
Instituto Nacional de Enfermedades Respiratorias
Universidade de São Paulo
The Royal Wolverhampton NHS Trust
Veterans General Hospital-Taichung Taiwan
Mayo Clinic
Royal Melbourne Hospital
Salford Royal Hospital
Faculty of Medicine, UKM
National Center for Rheumatic Diseases (NCRD)
Mahatma Gandhi Mission Medical College
Hospital Sultanah Bahiyah
Sassoon General Hospitals
Green Life Medical College
Queen Savang Vadhana Memorial Hospital
Corresponding Author(s)
Other Contributor(s)
Abstract
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.