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.
The impact of multimorbidity on Quality of Life in inflammatory myopathies: A cluster analysis from the COVAD dataset / Marco, Fornaro; Vincenzo, Venerito; Maria Rosa, Pellico; Florenzo, Iannone; Mrudula, Joshi; Yi-Ming, Chen; Ai Lyn, Tan; Sreoshy, Saha; Tulika, Chatterjee; Vishwesh, Agarwal; Samuel Katsuyuki, Shinjo; Leonardo Santos, Hoff; Esha, Kadam; Nelly, Ziade; Tsvetelina, Velikova; A T M Tanveer, Hasan; Russka, Shumnalieva; Marcin, Milchert; Chou Luan, Tan; Abraham Edgar, Gracia-Ramos; Lorenzo, Cavagna; Binit, Vaidya; Masataka, Kuwana; Syahrul Sazliyana, Shaharir; Johannes, Knitza; Ashima, Makol; Erick Adrian Zamora, Tehozol; Jorge Rojas, Serrano; Hussein, Halabi; Dzifa, Dey; Carlos Enrique, Toro-Gutiérrez; Phonpen Akarawatcharangura, Goo; Carlo V, Caballero-Uribe; Oliver, Distler; Wanruchada, Katchamart; Jessica, Day; Ioannis, Parodis; Elena, Nikiphorou; Hector, Chinoy; Vikas, Agarwal; Latika, Gupta; Study Group Authors: Parikshit Sen, Covad; Javaid, Mahnoor; Andreoli, Laura; Lini, Daniele; Schreiber, Karen; Nune, Arvind; Lyn Tan, Ai; Patel, Aarat; D Pauling, John; Wincup, Chris; Barman, Bhupen; García-De La Torre, Ignacio; Colunga-Pedraza, Iris J.; Merayo-Chalico, Javier; Celestine Chibuzo, Okwara; El Kibbi, Lina; Lilleker, James B.; Salim, Babur; Gheita, Tamer; A Saavedra, Miguel; Griger, Zoltán; Kardes, Sinan; Nagy Vince, Melinda; Preet Singh, Yogesh; Ranjan, Rajiv; Jain, Avinash; C Pandya, Sapan; Kumar Pilania, Rakesh; Sharma, Aman; M, Manesh Manoj; Gupta, Vikas; G Kavadichanda, Chengappa; Sekhar Patro, Pradeepta; Ajmani, Sajal; Phatak, Sanat; Prosad Goswami, Rudra; Chandra Chowdhury, Abhra; Jacob Mathew, Ashish; Shenoy, Padnamabha; Asranna, Ajay; Talari Bommakanti, Keerthi; Shukla, Anuj; R Pande, Arunkumar; Chandwar, Kunal; Ghodke, Akanksha; Boro, Hiya; Zahid Fazal, Zoha; Vaidya, Binit; Üsküdar Cansu, Döndü; Yıldırım, Reşit; Yuri Gasparyan, Armen; Del Papa, Nicoletta; Sambataro, Gianluca; Fabiola, Atzeni; Govoni, Marcello; Parisi, Simone; Bartoloni Bocci, Elena; Domenico Sebastiani, Gian; Fusaro, Enrico; Sebastiani, Marco; Quartuccio, Luca; Franceschini, Franco; Paolo Sainaghi, Pier; Orsolini, Giovanni; De Angelis, Rossella; Danieli, Maria Giovanna; Grignaschi, Silvia; Giollo, Alessandro; Alunno, Alessia; S Traboco, Lisa; Anggoro Kusumo Wibowo, Suryo; Loarce-Martos, Jesús; Prieto-González, Sergio; Aranega Gonzalez, Raquel; Yoshida, Akira; Nakashima, Ran; Sato, Shinji; Kimura, Naoki; Kaneko, Yuko; Gono, Takahisa; Tomaras, Stylianos; Nikolai Proft, Fabian; Holzer, Marie-Therese; Aleksandrovna Gromova, Margarita; Aharonov, Or; Griger, Zoltán; Hmamouchi, Ihsane; El Bouchti, Imane; Baba, Zineb; Giannini, Margherita; Maurier, François; Campagne, Julien; Meyer, Alain; Langguth, Daman; Limaye, Vidya; Needham, Merrilee; Srivastav, Nilesh; Hudson, Marie; Landon-Cardinal, Océane; Gerardo Rojas Zuleta, Wilmer; Arbeláez, Álvaro; Cajas, Javier; António Pereira Silva, José; Eurico Fonseca, João; Zimba, Olena; Ima-Edomwonyi, Uyi; Dedeke, Ibukunoluwa; Airenakho, Emorinken; Henry Madu, Nwankwo; Yerima, Abubakar; Olaosebikan, Hakeem; A., Becky; Devi Koussougbo, Oruma; Palalane, Elisa; So, Ho; Francisco Ugarte-Gil, Manuel; Chinchay, Lyn; Proaño Bernaola, José; Pimentel, Victorio; Mohammed Fathi, Hanan; A Mohammed, Reem Hamdy; Harifi, Ghita; Fuentes-Silva, Yurilís; Cabriza, Karoll; Losanto, Jonathan; Colaman, Nelly; Cachafeiro-Vilar, Antonio; Guerra Bautista, Generoso; Julio Giraldo Ho, Enrique; González, Raúl; Stange Nunez, Lilith; M, Cristian Vergara; Then Báez, Jossiell; Alonzo, Hugo; Benito Santiago Pastelin, Carlos; García Salinas, Rodrigo; Quiñónez Obiols, Alejandro; Chávez, Nilmo; Bran Ordóñez, Andrea; Argueta, Sandra; Alberto Reyes Llerena, Gil; Sierra-Zorita, Radames; Arrieta, Dina; Romero Hidalgo, Eduardo; Saenz, Ricardo; M, Idania Escalante; Morales, Roberto; Calapaqui, Wendy; Quezada, Ivonne; Arredondo., Gabriela. - In: RHEUMATOLOGY. - ISSN 1462-0332. - 64:4(2025), pp. 2133-2142. [10.1093/rheumatology/keae520]
The impact of multimorbidity on Quality of Life in inflammatory myopathies: A cluster analysis from the COVAD dataset
Rossella De AngelisMembro del Collaboration Group
;Maria Giovanna DanieliMembro del Collaboration Group
;
2025-01-01
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.| File | Dimensione | Formato | |
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