Cracking the Code: Which Ocular Symptoms Predict Dry Eye Signs? Insights From a Large International Sicca Registry - Scorecard - MDSpire

Identifying Ocular Symptoms as Predictors of Dry Eye: Findings from a Comprehensive International Sicca Registry

  • By

  • Pragnya R. Donthineni

  • Chloe Shields

  • Rohit Muralidhar

  • Shreya Bhatt

  • Alan Baer

  • Robert Fox

  • Sara S. McCoy

  • Anat Galor

  • May 14, 2026

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Clinical Scorecard: Identifying Ocular Symptoms as Predictors of Dry Eye: Findings from a Comprehensive International Sicca Registry

At a Glance

CategoryDetail
ConditionDry Eye Disease (DED)
Key MechanismsOcular dryness, discomfort, soreness, grittiness, burning, and poor/fluctuating vision.
Target PopulationIndividuals with sicca symptoms, particularly those with Sjögren disease.
Care SettingRheumatology clinics and eye clinics.

Key Highlights

  • Ocular symptoms in DED include dryness, discomfort, soreness, grittiness, and burning.
  • Symptom-based clustering reveals distinct levels of symptom burden.
  • Abnormal serologic test results are more frequent in mild-moderate symptom clusters.
  • DED symptoms often discordant with clinical signs.
  • Visual analog scale for eye dryness shows weak correlation with ocular surface damage.

Guideline-Based Recommendations

Diagnosis

  • Utilize composite questionnaires like DEQ5 and OSDI to assess symptoms.

Management

  • Tailor management strategies based on identified SjD phenotypes.

Monitoring & Follow-up

  • Monitor ocular surface staining and tear production using appropriate tests.

Risks

  • Consider potential discordance between symptoms and clinical signs in DED.

Patient & Prescribing Data

Individuals aged ≥21 years with sicca symptoms, including those with suspected or established Sjögren disease.

Artificial tear use and blurred vision are stronger predictors of DED signs than pain symptoms.

Clinical Best Practices

  • Assess both symptoms and signs for a comprehensive evaluation of DED.
  • Use symptom-based clustering to identify unique SjD phenotypes.

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