Product Images Eprontia

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Eprontia NDC 59368-405 by Praxis, Llc, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

Figure 1 - Figure 1

Figure 1 - Figure 1

This text shows cumulative rates for time to the first seizure between two groups receiving different dosages of Topiramate - 50 mg/day and 400 mg/day. The graph displays the time in days along the X-axis and the cumulative rates on the Y-axis, with data points for each group at different time intervals.*

Figure 2 - Figure 2

Figure 2 - Figure 2

This appears to be a comparison study evaluating the efficacy of Topiramate at different dosages versus a placebo in reducing the average monthly migraine period rate. The study involves a sample size ranging from 112 to 125 individuals. The results show a significant change from baseline in migraine period rates, with p-values indicating statistical significance. Topiramate is commonly used to prevent migraines and seizures.*

Principle Display Panel - Principle Display Panel

Principle Display Panel - Principle Display Panel

This is a description of EPRONTIA® oral solution containing 25 mg/mL of topiramate. It comes in a 240 mL ready-to-use bottle with an oral dosing syringe included. The recommended dosage should be followed as per the prescribing information. The medication guide is available online. It is important to ensure the seal is intact before using, and to store the solution between 20°C to 25°C. Once opened, unused portion should be discarded after 90 days. This product is manufactured by Azurity Pharmaceuticals, Inc. located in Woburn, MA.*

Structural Formula - Structural Formula

Structural Formula - Structural Formula

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.