# Antinuclear Antibodies Predict Treatment Escalation and Biologic Switching in Rheumatoid Arthritis

## TL;DR

This study shows that antinuclear antibodies (ANAs) in rheumatoid arthritis patients predict earlier use of advanced therapies and biologic switches, offering new insights for personalized treatment.

## Contribution

The study identifies ANA positivity as an independent predictor of treatment escalation in RA, beyond traditional markers like RF and anti-CCP.

## Key findings

- ANA-positive RA patients were more likely to initiate biologic therapy (48.2% vs. 24.3%) and experience multiple biologic switches.
- ANA positivity independently predicted earlier biologic therapy initiation (adjusted HR 2.14; p = 0.002).
- High ANA titers (>1:320) showed a lower hazard of biologic initiation compared to low–moderate titers (HR 0.24; p = 0.048).

## Abstract

Background: Antinuclear antibodies (ANAs) are frequently detected in patients with rheumatoid arthritis (RA); however, their prognostic relevance for predicting treatment escalation and biologic therapy initiation remains incompletely understood. Identifying biomarkers associated with earlier transition to advanced therapies may enhance individualized, treat-to-target disease management. Objectives: We aimed to evaluate the association of ANA status and titer levels with clinical characteristics, treatment trajectories, and time to biologic therapy initiation in patients with RA. Methods: In this retrospective cohort study, 223 patients with RA were stratified according to ANA status (112 ANA-positive, 111 ANA-negative). Baseline demographic data, disease activity (DAS28), and serological markers (RF, anti-CCP) were analyzed. Time to biologic therapy initiation, defined from the date of RA diagnosis to first biologic or targeted synthetic DMARD use, was assessed using Kaplan–Meier survival analysis and Cox proportional hazards regression. Multivariate models adjusted for clinically relevant covariates (age, sex, disease duration, RF, anti-CCP). Within the ANA-positive group, exploratory analyses compared low–moderate (1:80–1:320) and high (>1:320) ANA titers, highlighting potential non-linear effects. Results: Baseline demographic and clinical characteristics were comparable between groups (all p > 0.05). ANA-positive patients more frequently initiated biologic therapy (48.2% vs. 24.3%, p < 0.001) and experienced multiple biologic switches (29.5% vs. 16.2%, p = 0.028). In multivariate analysis, ANA positivity independently predicted earlier biologic therapy initiation (adjusted HR 2.14; 95% CI 1.32–3.46; p = 0.002), whereas RF and anti-CCP status were not significant predictors. Exploratory subgroup analysis revealed the “titer paradox,” whereby high ANA titers (>1:320) were associated with a lower hazard of biologic therapy initiation compared with low–moderate titers (HR 0.24; 95% CI 0.06–0.98; p = 0.048). Conclusions: ANA positivity serves as an independent prognostic marker for earlier biologic therapy initiation in RA, providing incremental information beyond traditional serological markers. The observed non-linear association between ANA titers and treatment escalation underscores the need for cautious interpretation and validation in prospective, mechanistic studies, and highlights the potential value of integrating ANA profiling into personalized treatment strategies.