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Arthritis Care and Research
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Disponibilidad
| Institución detectada | Período | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | desde ene. 2010 / hasta dic. 2023 | Wiley Online Library |
Información
Tipo de recurso:
revistas
ISSN impreso
2151-464X
ISSN electrónico
2151-4658
País de edición
Estados Unidos
Cobertura temática
Tabla de contenidos
doi: 10.1002/acr.25159
OMERACT International Consensus for Ultrasound Definitions of Tenosynovitis in Juvenile Idiopathic Arthritis: Systematic Literature Review and Delphi Process
Paz Collado
; María Victoria Martire; Stefano Lanni; Orazio De Lucia; Peter Balint; Severine Guillaume‐Czitrom; Cristina Hernandez‐Diaz; Nina Krafft Sande; Silvia Magni‐Manzoni; Clara Malattia; Linda Rossi‐Semerano; Johannes Roth; Tracy Ting; Patricia Vega‐Fernandez; Daniel Windschall; Maria Antonietta D'Agostino; Esperanza Naredo;
Palabras clave: Rheumatology.
Pp. No disponible
doi: 10.1002/acr.24998
Clinical Phenotypes of Patients With Systemic Sclerosis With Distinct Molecular Signatures in Skin
Monica Yang; Vivien Goh; Jungwha Lee; Monica Espinoza; Yiwei Yuan; Mary Carns; Kathleen Aren; Lorinda Chung; Dinesh Khanna; Zsuzsanna H. McMahan; Rishi Agrawal; Lauren Beussink Nelson; Sanjiv J. Shah; Michael L. Whitfield; Monique Hinchcliff
<jats:sec><jats:title>Objective</jats:title><jats:p>Systemic sclerosis (SSc) patients are classified according to degree of skin fibrosis (limited and diffuse cutaneous [lc and dc]) and serum autoantibodies. We undertook the present multicenter study to determine whether intrinsic subset (IS) classification based upon skin gene expression yields additional valuable clinical information.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>SSc patients and healthy participants (HPs) were classified into Normal‐like, Limited, Fibroproliferative, and Inflammatory ISs using a previously trained classifier. Clinical data were obtained (serum autoantibodies, pulmonary function testing, modified Rodnan skin thickness scores [mRSS], and high‐resolution chest computed tomography [HRCT]). Statistical analyses were performed to compare patients classified by IS, traditional cutaneous classification, and serum autoantibodies.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>A total of 223 participants (165 SSc [115 dcSSc and 50 lcSSc] and 58 HPs) were classified. Inflammatory IS patients had higher mRSS (22.1 ± 9.9; <jats:italic>P</jats:italic> < 0.001) than other ISs and dcSSc patients (19.4 ± 9.4; <jats:italic>P</jats:italic> = 0.05) despite similar disease duration (median [interquartile range] months 14.9 [19.9] vs. 18.4 [31.6]; <jats:italic>P</jats:italic> = 0.48). In multivariable modeling, no significant association between mRSS and RNA polymerase III (<jats:italic>P</jats:italic> = 0.07) or anti–topoisomerase I (Scl‐70) (<jats:italic>P</jats:italic> = 0.09) was found. Radiographic interstitial lung disease (ILD) was more prevalent in Fibroproliferative IS compared with other ISs (91%; <jats:italic>P</jats:italic> = 0.04) with similar prevalence between lcSSc and dcSSc (67% vs. 76%; <jats:italic>P</jats:italic> = 0.73). Positive Scl‐70 antibody was the strongest ILD predictor (<jats:italic>P</jats:italic> < 0.001). Interestingly, all lcSSc/Fibroproliferative patients demonstrated radiographic ILD.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Classification by IS identifies patients with distinct clinical phenotypes versus traditional cutaneous or autoantibody classification. IS classification identifies subgroups of SSc patients with more radiographic ILD (Fibroproliferative), higher mRSS (Inflammatory), and milder phenotype (Normal‐like) and may provide additional clinically useful information to current SSc classification systems.</jats:p></jats:sec>
Pp. 1469-1480