Abstract
BACKGROUND: Alterations in the hematological profile have been linked to disease activity in rheumatoid arthritis (RA). We aimed to evaluate the levels of hematological parameters in different phases of rheumatoid arthritis (RA) and determine whether hematological parameters could be used to predict RA remission. MATERIALS AND METHODS: The medical records of 365 RA patients were reviewed. Multivariate logistic regression analysis was used to compare hematological parameters among RA patients who were categorized into 4 groups according to disease activity: disease remission or low, moderate or high disease activity. Receiver operating characteristic curves were used to determine the predictive performances of significant parameters for RA remission. RESULTS: Complete data were obtained from 325 patients. The 4 groups of patients had different levels of hemoglobin (Hb), red blood cell, white blood cell, and platelet values. In multivariate analysis, Hb level, neutrophil-to-lymphocyte ratio (NLR), and mean platelet volume (MPV) were independent factors associated with disease activity. The combination of these 3 parameters yielded a sensitivity of 95.2% (95% confidence interval [CI] 88.7-98.2), specificity of 23.6% (95% CI 18.3-29.9), positive predictive value of 37.3% (95% CI 31.6-43.4), and negative predictive value of 91.2% (95% CI 80.0-96.7) in predicting disease remission. CONCLUSION: Hb level, NLR and MPV were independently associated with RA disease activity. The high sensitivity and negative predictive value of the model consisting of Hb level, NLR and MPV may serve as a simple and inexpensive tool to identify patients who are less likely to have disease remission.