Losartan Potassium Tablet, Film Coated
Product Images NDC 71335-1174

Product Visual Gallery

This gallery contains 6 technical images submitted to the FDA as part of the official labeling for Losartan Potassium (NDC 71335-1174). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Bryant Ranch Prepack, 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

Label Image (Lbl713351174)

This is a description of a medication named Losartan, available in the potency of 25mg. It is sold in a plastic bottle containing 90 tablets, and the manufacturer is Aurobindo Pharma USA, Inc. The tablets are oval-shaped and green in color, and the identifier code is E45. In addition, it is recommended to store them at room temperature, ideally at 20-25°C (68-77°F). Furthermore, the medication's NDC is 7133511741 and 04519901523487 expires at MM/YY.*

FDA Label Image

Figure1 (Losartan Fig1)

The text is a table with two medication names, Atenolol and Losartan Potassium, and some numerical data. It is not possible to determine the context or what the data represents without further information.*

FDA Label Image

Figure2 (Losartan Fig2)

FDA Label Image

Figure 3 (Losartan Fig3)

Figure 3 displays results of primary endpoint events within demographic subgroups, including age, gender, and race. The overall results had 9193 events. There were lower events in patients under the age of 85. The gender distribution is not available due to the errors. The race subgroup had different events with Black patients having the highest events. There were also different events for patients with comorbidities such as VD history and factors like potassium fever or ion levels.*

FDA Label Image

Figure-4 (Losartan Fig4)

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Chemical Structure (Losartan Str)

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