Perindopril Erbumine Tablet
Product Images NDC 65862-288

Product Visual Gallery

This gallery contains 6 technical images submitted to the FDA as part of the official labeling for Perindopril Erbumine (NDC 65862-288). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Aurobindo Pharma Limited, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Figure 1 (Perindopril Fig1)

This is a graph showing the Time to First Occurrence of Primary Endpoint with logrank p=0.0003 for Placebo and Perindopril. The primary endpoint being the cardiovascular mortality, nonfatal MI, or cardiac arrest. The x-axis is time in years and the y-axis is the proportion of people who had the primary endpoint. The graph shows that Perindopril has a lower proportion of people with the primary endpoint compared to the Placebo. The number of patients at risk is also provided for each group at different times.*

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Figure 2. Beneficial Effect Of Perindopril Treatment On Primary Endpoint In Predefined Subgroups (Perindopril Fig2)

Figure 2. Beneficial Effect of Perindopril Treatment on Primary Endpoint in Predefined Subgroups is a graph that shows the number of primary events (k) in patients with different characteristics who were treated with either perindopril or placebo. Subgroups include gender, age, previous medical conditions, and medication usage. The graph demonstrates that perindopril treatment had a favorable effect on the primary endpoint in all subgroups compared to the placebo.*

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Package Label-principal Display Panel (2 mg (100 Tablet Bottle))

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Package Label-principal Display Panel (4 mg (100 Tablet Bottle))

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Package Label-principal Display Panel (8 mg (100 Tablet Bottle))

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Chemical Structure (Perindopril Str)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.