Predictors for remission in rheumatoid arthritis patients: A systematic review

医学 类风湿性关节炎 内科学 磺胺吡啶 甲氨蝶呤 类风湿因子 亚甲基四氢叶酸还原酶 疾病 等位基因 肿瘤科 生物化学 基因 化学 溃疡性结肠炎
作者
Wanruchada Katchamart,Sindhu R. Johnson,Hsing-Ju Lucy Lin,Veerapong Phumethum,Carine Salliot,Claire Bombardier
出处
期刊:Arthritis Care and Research [Wiley]
卷期号:62 (8): 1128-1143 被引量:154
标识
DOI:10.1002/acr.20188
摘要

Abstract Objective To summarize the potential predictors of remission in patients with rheumatoid arthritis (RA). Methods We performed a systematic review of prognostic studies that identified the predictors of remission in RA patients. Studies were identified in Medline, EMBase, and the Cochrane Registry, and by hand search. We included only studies performing multivariate analysis. Results A total of 18 studies from 2,062 citations were included. The following variables were found to be the independent predictors of RA remission: male sex; young age; late‐onset RA; short disease duration; nonsmoker; low baseline disease activity; mild functional impairment; low baseline radiographic damage; absence of rheumatoid factor and anti–citrullinated peptide; low serum level of acute‐phase reactant, interleukin‐2, and RANKL at baseline; MTHFR 677T alleles and 1298C alleles in the methotrexate (MTX)–treated patients; magnetization transfer ratio 2756A allele ± either the SLC 19A180A allele or the TYMS 3R‐del6 haplotype in the MTX plus sulfasalazine combination–treated patients; early treatment with nonbiologic disease‐modifying antirheumatic drug (DMARD) combinations; the use of anti–tumor necrosis factor (anti‐TNF); the concurrent use of DMARDs in anti‐TNF–treated patients; and moderate or good response to treatments at the first 6 months. The magnitude of the association in the individual predictor was diverse among the studies depending on the patient characteristics, the study characteristics, and the variables used to adjust for in the models. Conclusion A number of independent predictors of remission, i.e., baseline clinical and laboratory characteristics and genetic markers, were summarized. The predictive value of prognostic factors recently identified needs to be confirmed.

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