Losartan Potassium Tablet
Product Images NDC 50090-5480
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 6 technical images submitted to the FDA as part of the official labeling for Losartan Potassium (NDC 50090-5480). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by A-s Medication Solutions, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Image (A27c3ddf 3129 4f3e Bc0e 37381cc1a167 02)
This appears to be a graph or chart depicting the comparison between two medications, Atenolol and Losartan, regarding the percentage of patients with the primary endpoint. The adjusted risk reduction is shown to be 13%, with a p-value of 0.021. The x-axis shows study months from 0 to 66. No further information is available from this text.*
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Image (A27c3ddf 3129 4f3e Bc0e 37381cc1a167 04)
This appears to be a table showing the results of a medical study comparing the effectiveness of Losartan and Atenolol in reducing the risk of stroke in patients with different risk factors such as age, gender, history of CVD and diabetes. The table displays the number and percentage of patients who experienced a stroke, as well as the Hazard Ratio for each group. However, there is not enough information to provide a more in-depth description or analysis of the study.*
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Label Image (Lbl500905480)
This appears to be a product label for a bottle of 30 tablets containing 50mg of potassium. The product is identified as "ei53-0" and the brand name "TolarTaN" is also visible. The label also contains the numbers "1mc" and "zotpe" which may be batch or lot numbers. There is also a section that reads "Stone AT 7 occnees" and "BRTeE oyt" which are not clear and may not be relevant to the product.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.