Fang Lv1,2, Li-Jun Song1, Xing-Fu Li1. 1. Department of Rheumatology, Qilu Hospital of Shandong University, Jinan. 2. Department of Rheumatology, People's Hospital of Rizhao, Rizhao, Shandong, China.
Abstract
AIM: Acute phase reactants (APRs), such as serum C-reactive protein (CRP), ferritin, plasma fibrinogen and platelet count, are common biomarkers used to monitor the status of inflammatory diseases. The aim of this study was to determine whether APRs are predictive markers of relapse in rheumatoid arthritis (RA). METHOD: We analyzed forty RA patients in clinical remission (disease activity score [DAS28] < 2.6; baseline [t(0)]) or with low disease activity (DAS28 score ≤ 3.2; t(0)). The pre-existing therapeutic regimens were retained for each patient during a 4-week study period. APRs and patient characteristics were analyzed for normality of distribution by using the Kolmogorov-Smirnov test and correlations were assessed by Pearson's or Spearman's rank correlation coefficient. RESULTS: APR levels were found to be significantly correlated with DAS28 score of RA, and serum CRP was the most strongly correlated APR for both the clinical remission and high disease activity groups. For all APRs, the correlation strength paralleled the increase in disease activity. CONCLUSION: Measurement of multiple APRs in remission or low disease activity RA patients may predict relapse to active disease, thereby facilitating more timely clinical management and promoting efficacy of therapeutic intervention.
AIM: Acute phase reactants (APRs), such as serum C-reactive protein (CRP), ferritin, plasma fibrinogen and platelet count, are common biomarkers used to monitor the status of inflammatory diseases. The aim of this study was to determine whether APRs are predictive markers of relapse in rheumatoid arthritis (RA). METHOD: We analyzed forty RApatients in clinical remission (disease activity score [DAS28] < 2.6; baseline [t(0)]) or with low disease activity (DAS28 score ≤ 3.2; t(0)). The pre-existing therapeutic regimens were retained for each patient during a 4-week study period. APRs and patient characteristics were analyzed for normality of distribution by using the Kolmogorov-Smirnov test and correlations were assessed by Pearson's or Spearman's rank correlation coefficient. RESULTS:APR levels were found to be significantly correlated with DAS28 score of RA, and serum CRP was the most strongly correlated APR for both the clinical remission and high disease activity groups. For all APRs, the correlation strength paralleled the increase in disease activity. CONCLUSION: Measurement of multiple APRs in remission or low disease activity RApatients may predict relapse to active disease, thereby facilitating more timely clinical management and promoting efficacy of therapeutic intervention.