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Multimorbidity phenotypes in ankylosing spondylitis and their association with disease activity and functional impairment: Data from the prospective study of outcomes in ankylosing spondylitis cohort.
Karmacharya, Paras; Crowson, Cynthia S; Lennon, Ryan J; Poudel, Dilli; Davis, John M; Ogdie, Alexis; Liew, Jean W; Ward, Michael M; Ishimori, Mariko; Weisman, Michael H; Brown, Matthew A; Rahbar, Mohammad H; Hwang, Mark C; Reveille, John D; Gensler, Lianne S.
Afiliación
  • Karmacharya P; Vanderbilt University Medical Center, Division of Rheumatology & Immunology, Nashville, TN, United States of America; Mayo Clinic, Division of Rheumatology, Rochester, MN, United States of America. Electronic address: paraskarmacharya@gmail.com.
  • Crowson CS; Mayo Clinic, Division of Rheumatology, Rochester, MN, United States of America; Mayo Clinic, Department of Quantitative Health Sciences, Rochester, MN, United States of America.
  • Lennon RJ; Mayo Clinic, Department of Quantitative Health Sciences, Rochester, MN, United States of America.
  • Poudel D; Indiana Regional Medical Center, Indiana, PA, United States of America.
  • Davis JM; Mayo Clinic, Division of Rheumatology, Rochester, MN, United States of America.
  • Ogdie A; Perelman School of Medicine, University of Pennsylvania, Departments of Medicine/Rheumatology and Biostatistics, Epidemiology and Informatics, Philadelphia, United States of America.
  • Liew JW; Boston University Chobanian & Avedisian School of Medicine, Section of Rheumatology, Boston, MA, USA.
  • Ward MM; National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Intramural Research Program, Bethesda, USA.
  • Ishimori M; Cedars-Sinai Medical Center, Division of Rheumatology, Los Angeles, USA.
  • Weisman MH; Cedars-Sinai Medical Center, Division of Rheumatology, Los Angeles, USA.
  • Brown MA; Department of Medical and Molecular Genetics, Faculty of Health, King's College London, England; Genomics England, London, England.
  • Rahbar MH; Division of Clinical and Translational Sciences, McGovern Medical School, and Biostatistics/Epidemiology/Research Design (BERD) Core, Center for Clinical and Translational Sciences, (CCTS) at the University of Texas Health Science Center at Houston, USA.
  • Hwang MC; McGovern Medical School at the University of Texas Health Science Center, Division of Rheumatology and Clinical Immunogenetics, Houston, USA.
  • Reveille JD; McGovern Medical School at the University of Texas Health Science Center, Division of Rheumatology and Clinical Immunogenetics, Houston, USA.
  • Gensler LS; University of California San Francisco, Department of Medicine, Division of Rheumatology, San Francisco, USA.
Semin Arthritis Rheum ; 64: 152282, 2024 Feb.
Article en En | MEDLINE | ID: mdl-37995469
ABSTRACT

OBJECTIVES:

To examine the association of multimorbidity phenotypes at baseline with disease activity and functional status over time in ankylosing spondylitis (AS).

METHODS:

Patient-reported AS morbidities (comorbidities, N = 28 and extra-musculoskeletal manifestations, EMMs, N = 3) within 3 years of enrollment with a prevalence ≥1 %, were included from the Prospective Study of Outcomes in Ankylosing Spondylitis (PSOAS) cohort. We defined multimorbidity as ≥2 morbidities (MM2+) and substantial multimorbidity as ≥5 morbidities (MM5+). Multimorbidity clusters or phenotypes were identified using K-median clustering. Disease activity (ASDAS-CRP) and functional status (BASFI) measures were collected every 6 months. Generalized estimating equation method was used to examine the associations of multimorbidity counts and multimorbidity clusters with measures of disease activity and functional status over time.

RESULTS:

Among 1,270 AS patients (9,885 visits) with a median follow-up of 2.9 years (IQ range 1.0-6.8 years), the prevalence of MM2+ and MM5+ was 49 % and 9 % respectively. We identified five multimorbidity clusters depression (n = 321, 25 %), hypertension (n = 284, 22 %), uveitis (n = 274, 22 %), no morbidities (n = 238, 19 %), and miscellaneous (n = 153, 12 %). Patients in the depression cluster were more likely to be female and had significantly more morbidities and worse disease activity and functional status compared to those with no morbidities.

CONCLUSION:

Approximately 49 % of AS patients in the PSOAS cohort had multimorbidity and five distinct multimorbidity phenotypes were identified. In addition to the number of morbidities, the type of morbidity appears to be important to longitudinal outcomes in AS. The depression cluster was associated with worse disease activity and function.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Espondilitis Anquilosante Idioma: En Revista: Semin Arthritis Rheum Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Espondilitis Anquilosante Idioma: En Revista: Semin Arthritis Rheum Año: 2024 Tipo del documento: Article