Neovascular AMD Real-World Data

Neovascular AMD can cause rapid and severe vision loss.
Qdata® can help advance treatments for these patients.

Qdata nAMD (neovascular age-related macular degeneration) is an exclusive dataset with a detailed view of the patient journey, disease progression, and anti-VEGF treatments.

Key Data Elements

Central Subfield Thickness (CST)

Visual Acuity

By the Numbers

M+
Total de-identified patients with nAMD
yrs
Average length follow-up time

About Qdata® Neovascular AMD

Neovascular AMD (nAMD) is a condition that mainly affects elderly populations and can cause vision impairment and even total vision loss. This condition occurs when vascular endothelial growth factor (VEGF) causes abnormal blood vessels to develop in the back of the eye.

This condition is characterized by three different stages. Early stages of nAMD may not show any symptoms, making it harder to diagnose and treat when the condition first appears. Later stages, however, present more obvious symptoms as the disease progresses, such as drastic vision changes, difficulties seeing at night, blank spots, and blurriness.

Real-world nAMD data is vital in treating patients with this condition. With Verana Health's Qdata nAMD, researchers and clinicians can work to better understand the patient journey, disease progression and anti-VEGF treatment efficacy.

Verana Health is the exclusive real-world data and analytics partner of the American Academy of Ophthalmology IRIS® Registry (Intelligent Research in Sight). Both structured and unstructured data from EHRs across the US are curated to generate Qdata nAMD, a research-ready module to generate real-world evidence for life sciences companies.

Evidence in Action

Exclusive nAMD Insights

Only found here from the IRIS Registry® (Intelligent Research in Sight).

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Detailed Understanding of Disease Progression

Key variables including visual acuity and CST

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Timely View of Anti-VEGF Treatments

Track usage and outcomes

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Custom Data Curation

Need data tailored to your exact study design requirements?

Our purpose-built, fit-for-purpose datasets are designed to support rigorous research and confident decision-making. These datasets can be tailored
around custom inclusion and exclusion criteria, in addition to including all standard abstracted data elements.

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Ready to Explore the Neovascular AMD Dataset?

Connect with our team to discuss your research objectives and receive a tailored data overview.