Clinical Scorecard: What’s New in Glaucoma Diagnostics

At a Glance

Key Highlights

• Continuous IOP monitoring through wearable sensors like Triggerfish and Eyemate-IO.
• Advancements in OCT and OCTA for improved retinal imaging and early detection.
• AI applications enhancing image analysis and disease prediction.
• Portable tonometers enabling self-monitoring of IOP by patients.
• Integration of multiple diagnostic modalities for comprehensive risk assessment.

Guideline-Based Recommendations

Diagnosis

• Utilize advanced imaging techniques such as OCT and OCTA for early detection.
• Incorporate AI-driven models for risk stratification.

Management

• Empower patients with self-monitoring tools for personalized management.
• Consider continuous IOP monitoring for high-risk patients.

Monitoring & Follow-up

• Implement continuous and ambulatory IOP monitoring to capture fluctuations.
• Use AI for tracking disease progression and treatment response.

Risks

• Emerging technologies require clinical validation before widespread adoption.
• Ensure proper training for healthcare staff on advanced diagnostic tools.

Patient & Prescribing Data

Individuals with glaucoma or at risk for developing glaucoma.

Continuous monitoring and personalized management strategies are crucial.

Clinical Best Practices

• Adopt a multidisciplinary approach with trained technicians for accurate diagnostics.
• Integrate AI and advanced imaging techniques for improved patient outcomes.
• Encourage patient engagement through self-monitoring devices.

References

• Lommatzsch C, van Oterendorp C. Current Status of Glaucoma Diagnostics