Icosapent Ethyl Capsule
Product Images NDC 72865-290

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Icosapent Ethyl (NDC 72865-290). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Xlcare Pharmaceuticals, Inc., 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

0.5 (0.5 240)

0.5 (0.5 240)
This text provides information about a product that contains 0.3 gram XicAre in each capsule. It includes details on storage conditions and the manufacturer, XLCare Pharmaceuticals, Inc. It also mentions the quantity of capsules in the package, the NDC number, and dosage recommendations.*
FDA Label Image

1 (1 120)

1 (1 120)
Each capsule of XLcare contains 1 gram of Icosapent Ethyl. The usual adult dosage is indicated on the package insert for complete dosage recommendations. It is advised to store the capsules at a temperature between 20°C to 25°C (68°F to 77°F) and keep them out of reach of children. Manufactured by XLCare Pharmaceuticals, Inc. in Lawrenceville, GA 30046. Each container includes 120 capsules.*
FDA Label Image

Table 2 (Table 2)

Table 2 (Table 2)
This is a comparison of the effects of Cosapent Ethyl 4 g/day versus Placebo on lipid parameters in a sample size of 76 versus 75 individuals. The baseline values and percent changes are provided for Triglycerides (TG), LDL Cholesterol (LDL-C), Non-HDL Cholesterol, Total Cholesterol (TC), HDL Cholesterol (HDL-C), Very Low-Density Lipoprotein Cholesterol (VLDL-C), and Apolipoprotein B (Apo B). The confidence intervals for the differences between the two groups are also given.*
FDA Label Image

Structure (Structure)

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