Predictors of chronic arthralgia after chikungunya virus infection: a systematic review and meta-analysis.

J Travel MedOct 30, 2026

Lucas Bussiki Corrêa da Costa Kotecki, Vitória Diniz de Medeiros, Mariana Bussiki Corrêa da Costa Kotecki et al.

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In 30 seconds

This systematic review and meta-analysis examined predictors of chronic arthralgia, defined as lasting at least 3 months, after laboratory-confirmed chikungunya infection. It included 29 studies with 4108 participants, of whom 1878 had chronic arthralgia. Across 22 pooled predictors, the most consistent associations were female sex (OR 2.08, 95% CI 1.77-2.46), comorbidity (OR 1.99, 95% CI 1.55-2.55) and high blood pressure (OR 1.52, 95% CI 1.13-2.04). Acute-phase manifestations and treatment-related markers had less stable associations. The authors report high risk of bias in most included studies.

Key findings

  • Female sex was associated with chronic arthralgia (OR 2.08, 95% CI 1.77-2.46; I2 = 8.3%).
  • Comorbidity presence was associated with chronic arthralgia (OR 1.99, 95% CI 1.55-2.55; I2 = 0%).
  • High blood pressure was associated with chronic arthralgia (OR 1.52, 95% CI 1.13-2.04; I2 = 33.4%).
  • Acute-phase manifestations and treatment-related markers showed less stable, timing-dependent or study-sensitive associations.

Why it matters

The findings suggest that persistent post-chikungunya joint symptoms may be more consistently associated with identifiable baseline host characteristics than with a uniform pattern of acute illness severity. This distinction may help frame risk assessment and follow-up planning, while the variable evidence for acute-phase predictors cautions against relying on symptom burden alone.

What to keep in mind

Risk of bias was high in most included studies and moderate in the remainder; associations from the pooled observational evidence do not establish causation.

Source

Published in J Travel Med. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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