Losartan Potassium Tablet, Film Coated
Product Images NDC 68071-4943

Product Visual Gallery

This gallery contains 6 technical images submitted to the FDA as part of the official labeling for Losartan Potassium (NDC 68071-4943). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Nucare 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

68071 4943 9

The text appears to be a description of a medication called Losartan Potassium 50mg manufactured by NuCare Pharmaceuticals, Inc. It includes details such as NDC and lot numbers, tablet count, manufacturing information and an expiry date. However, it is missing important details like indications, dosage, contra-indications, and usage instructions. The text also includes a warning to keep out of reach of children and store at a controlled temperature.*

FDA Label Image

Figure1 (Losartan Fig1)

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Figure2 (Losartan Fig2)

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Figure 3 (Losartan Fig3)

This is a table containing data on the primary endpoint events within demographic subgroups. The subgroups are divided by age, gender, race, history of VD, and other factors. The overall results are also shown, with a total of 9193 events. However, without context or additional information, it is difficult to determine the significance or interpretation of these results.*

FDA Label Image

Figure-4 (Losartan Fig4)

This text presents data on the percentage of patients who experienced an event (either for the Losttan Potassium or Placebo groups), the risk reduction percentage, and the p-value. The values suggest that the Losttan Potassium treatment reduced the risk of experiencing an event by 16.1% compared to the placebo group with a p-value of 0.022.*

FDA Label Image

Chemical Structure (Losartan Str)

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