Why the study?
It was unknown whether differences exist between early and late developers of difficult-to-treat rheumatoid arthritis, prompting investigation into classification by time to development and risk factors for earlier onset.
A temporal threshold of 44.5 months can distinguish early from late difficult-to-treat rheumatoid arthritis, with older age, anxiety-depressive syndrome, and elevated CRP at 6 months predicting early onset.
May aid early D2TRA risk stratification in RA; hypothesis-generating and requires prospective validation before clinical use.
BACKGROUND: While risk factors for difficult-to-treat rheumatoid arthritis (D2TRA) have been studied in recent years, no studies have determined if there are differences between early and late developers of D2TRA. This study investigates whether patients can be classified by time to D2TRA development and examines risk factors for earlier onset. PATIENTS AND METHODS: Observational study involving D2TRA patients whose reason for switching b/tsDMARD therapy was inefficacy (D2TRA-Inneficacy). Demographic data, comorbidities and disease characteristics, acute phase reactants and Disease Activity Score-28 [DAS28-ESR]) at baseline and 6 months after initiation of the first b/tsDMARD, and duration of each treatment were recorded. Using LASSO (Least Absolute Shrinkage and Selection Operator) Cox-regression feature-selection strategy, we identified those factors influencing the time to D2TRA-Inneficacy. DBSCAN clustering was conducted to identify subgroups based on time to D2TRA. Finally, we used ROC and Precision-Recall curves in tandem with the Youden index to establish a cutoff point for differentiating early and late-D2TRA. RESULTS: Of the 131 patients with D2TRA, 96 (72.7%) were classified as D2TRA-inefficacy. The variables presence of anxiety-depressive syndrome (ADS) at first b/tsDMARD, CRP at 6 months after starting the first b/tsDMARD and age at disease diagnosis were selected based on their contracted scores from the LASSO Cox-regression model, following the criterion of minimizing the cross-validated error. DBSCAN clustering based on selected variables identified three clusters. These clusters, differentiated by time to D2TRA, classified patients into early and late D2TRA groups. Finally, an optimal cut-off point of 44.5 months was determined using the Youden index to distinguish between the two groups. CONCLUSION: In our cohort, the cut-off time for defining early developers of D2TRA-inefficacy was 44.5 months. The presence of ADS diagnosis, a higher CRP 6 months after the first b/tsDMARD, and being older at diagnosis were predictors of early development of D2TRA.
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Rodríguez-Merlos et al. (2025) studied this question.
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