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Research · 02 of 05

Refractory non-infectious uveitis: switching biologic class may work better than switching anti-TNF

When non-infectious uveitis fails an anti-TNF, a switch of biologic class is a reasonable next step.

Design
Systematic review and meta-analysis, mostly case series
Population
466 patients with anti-TNF-refractory non-infectious uveitis in 89 studies
Primary outcome
Pooled response rate after biologic switch
Effect
Overall 83% (76 to 90%); interclass 89% vs intraclass 77% (P = .10)

This systematic review, published in Ophthalmology, included 136 studies (129 case reports or series, 7 comparative) of patients with non-infectious uveitis who failed an anti-TNF agent, with 89 studies (466 patients) in the meta-analysis.

Overall, 83% (95% CI 76 to 90%) responded after switching. Switching to another anti-TNF agent gave 77% and switching to a different class 89%, a difference not statistically significant in the main analysis (P = .10). In a sensitivity analysis, response was 71% vs 85% (P = .044). Certainty was graded low.

Up to a third of patients do not respond adequately to adalimumab or infliximab, so the question of what to try next is common. This suggests moving to a different mechanism — such as IL-6 blockade or JAK inhibition — is at least as good as trying a second anti-TNF, and possibly better. The evidence is mostly case series, so the choice should still reflect the underlying disease, systemic features and access.

  • Consider switching to a different biologic class when uveitis fails a first anti-TNF agent.
  • Check adherence, drug levels and antibodies before labelling anti-TNF failure, where available.
  • Coordinate the choice with rheumatology when there is associated systemic disease.
  • Expect most patients to respond after a switch; about 8 in 10 did in this review.

Why it matters

It guides a common decision that currently rests largely on habit.

Don't overread it

Mostly case reports and series with low-certainty evidence; the main comparison was not statistically significant.

The statistics, in plain English

A P value of .10 in the main analysis means the difference between 77% and 89% could be chance. The sensitivity analysis reached significance (P = .044), but choosing among analyses weakens that result.

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