Product Images Losartan Potassium

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Product Label Images

The following 6 images provide visual information about the product associated with Losartan Potassium NDC 68071-5041 by Nucare Pharmaceuticals,inc., 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.

PDP - 68071 5041 9

PDP - 68071 5041 9

This is a description of Losartan Potassium 25mg tablets manufactured by NuCare Pharmaceuticals, Inc. It contains 90 tablets with the NDC number 65862-201-90 and the expiration date of 00-00. The LOT# is 000000 and the serial number is 00000000002. The GTIN is 00368071504194. The label warns to keep out of reach of children and to store at a controlled temperature of 59-86°F. Rx only 1-800-FDA-1088 should be contacted for any issues.*

Figure1 - losartan fig1

Figure1 - losartan fig1

The text appears to show a comparison between the medications Atenolol and Losartan Potassium, and includes a statistic for "Adjusted Risk Reduction" with a corresponding p-value. The rest of the text contains numeric values that may relate to a study timeline or duration.*

Figure2 - losartan fig2

Figure2 - losartan fig2

Figure 3 - losartan fig3

Figure 3 - losartan fig3

The text provided is related to figures showing primary endpoint events within demographic subgroups. The figures show the results of a study, but due to the poor quality of the text, it's not possible to interpret it.*

Figure-4 - losartan fig4

Figure-4 - losartan fig4

This text provides information on the percentage of patients who experienced an event for Losttan Potassium and Placebo. The event rate for Losttan Potassium was 60%, while it was 40% for Placebo, resulting in a risk reduction of 16.1%. The text also indicates a statistical significance of p=0.022.*

Chemical Structure - losartan str

Chemical Structure - losartan str

* 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.