Answers are grounded in this paper and cite their sources.
OBJECTIVE: Previous publications have reported that increased absolute monocyte counts are associated with treatment non-response in patients with rheumatoid arthritis (RA). This study investigated whether full blood count (FBC) components from routine clinical testing before treatment with a biological disease-modifying anti-rheumatic drug (bDMARD) were associated with treatment non-response after 6 months of treatment. METHOD: From a UK-based prospective multicentre study of patients with RA starting a bDMARD, data from 246 patients attending five of the participating centres were retrieved. FBC components were analysed for their association with European Alliance of Associations for Rheumatology non-response after 6 months of treatment using backward stepwise logistic regression, adjusting for potential confounders. Final models underwent resampling with 200 repeats of out-of-bag bootstrapping to assess model performance using area under the receiver operating characteristics (AUROC) curves. Model fit was compared using the Akaike information criterion (AIC). RESULTS: ) 9.56, 95% confidence intervals (CI) 1.61-59.86, p = 0.01, AUROC = 60.42%). The model including monocytes as a predictor demonstrated superior performance to the covariates-only model (AIC 184.36 vs 188.51, respectively). CONCLUSION: In the largest study to date, increasing absolute monocyte counts were associated with bDMARD non-response after 6 months of treatment, replicating previous reports. Validation and mechanistic studies are required to inform future treatment selection.
No takes yet. Share an insight, caveat, or question.
Ling et al. (2025) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: