Sjögren's disease & overlap diseases
Cracking the Code: Which Ocular Symptoms Predict Dry Eye Signs? Insights From a Large International Sicca Registry
Authors' conclusion
AT use and blurred vision were stronger indicators of ocular surface and tear film abnormalities than pain symptoms
Study context
- Population
- Sjögren's International Collaborative Clinical Alliance (SICCA) cohort participants; mean age 53 ± 13 years, 91% female, 54% White, 44% meeting 2016 criteria for Sjögren disease
- Participants
- 3,514 participants
- Exposure
- Ocular symptoms and artificial tear (AT) use as predictors of dry eye disease (DED) signs
- Outcome
- Abnormal ocular surface staining (OSS) and Schirmer's test (ST), graded yes/no, as outcomes of 16 ocular symptoms and AT use
Methodological detailsinternational registry (SICCA), univariable and multivariable logistic regression, hierarchical cluster analysis
- International registry (SICCA)
- Univariable and multivariable logistic regression
- Hierarchical cluster analysis
Main finding
As reported in the abstract
Abnormal OSS, multivariable analysis
AT use, OR
1.51 (1.36-1.67) (95% CI)
Eye redness, OR
1.17 (1.08-1.26) (95% CI)
Blurred vision, OR
1.11 (1.02-1.20) (95% CI)
Observational data: associations, not effects.
Further findings
Symptom-based clusters
- Three clusters with varied symptom burden (low, mild-moderate, high)
- Mild-moderate cluster had higher frequencies of abnormal ocular signs and positive serology (anti-SSA/Ro, elevated IgG) than high symptom burden cluster
Original publication
Cracking the Code: Which Ocular Symptoms Predict Dry Eye Signs? Insights From a Large International Sicca Registry. Arthritis Care Res (Hoboken). Published 14 May 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →