首页> 外文期刊>Annals of the Rheumatic Diseases: A Journal of Clinical Rheumatology and Connective Tissue Research >NT-proBNP predicts mortality in patients with rheumatoid arthritis: results from 10-year follow-up of the EURIDISS study.
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NT-proBNP predicts mortality in patients with rheumatoid arthritis: results from 10-year follow-up of the EURIDISS study.

机译:NT-proBNP可以预测类风湿关节炎患者的死亡率:EURIDISS研究10年的随访结果。

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OBJECTIVES: Patients with rheumatoid arthritis (RA) have a higher mortality than the general population, and this increased mortality is related to demographic and disease variables. N-terminal pro-brain natriuretic peptide (NT-proBNP) is a predictor of mortality both in general and patient populations, but has not been shown to predict mortality in patients with RA. This study examines whether NT-proBNP can further improve the prediction of mortality in RA. METHODS: 182 patients with RA of 5-9 years disease duration were comprehensively examined in 1997. Serum samples were frozen and later batch analysed for NT-proBNP levels and other biomarkers. Adjusted univariate and logistic regression analyses were performed with death within the 10-year follow-up period as the dependent variable. Significant predictors were also examined as dichotomised variables. RESULTS: Mortality was predicted in univariate analyses by the following variables: age, sex, homozygosity for HLA-DRB1 shared epitope alleles, Health Assessment Questionnaire, 28-joint Disease Activity Score (DAS28) and NT-proBNP. A multivariate model with age, sex, DAS28 and NT-proBNP as independent variables showed the greatest discrimination. CONCLUSION: NT-proBNP provided incremental information in the prediction of mortality in this cohort of patients with RA.
机译:目的:类风湿关节炎(RA)患者的死亡率高于一般人群,而这种增加的死亡率与人口统计学和疾病变量有关。 N末端脑钠肽前体(NT-proBNP)可以预测普通人群和患者的死亡率,但尚未显示出可预测RA患者的死亡率。这项研究检查了NT-proBNP是否可以进一步改善RA死亡率的预测。方法:1997年对182例RA,病程为5-9年的RA患者进行了全面检查。将血清样品冷冻,然后分批分析NT-proBNP水平和其他生物标志物。进行调整后的单因素和逻辑回归分析,以10年随访期内的死亡为因变量。还将重要的预测变量作为二分变量进行了检验。结果:通过以下变量在单变量分析中预测了死亡率:年龄,性别,HLA-DRB1共有表位等位基因的纯合性,健康评估问卷,28关节疾病活动评分(DAS28)和NT-proBNP。以年龄,性别,DAS28和NT-proBNP为自变量的多元模型显示出最大的歧视性。结论:NT-proBNP为该类RA患者的死亡率预测提供了增量信息。

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