Product Images Losartan Potassium
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Losartan Potassium NDC 68071-4380 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.
This is a label of a medication manufactured by NuCare Pharmaceuticals, Inc. The medication is Losartan Potassium 50mg, and it comes in a bottle with 90 tablets. The NDC codes and lot numbers are provided for the medication, and there is a warning to keep it out of reach of children and store at a controlled temperature.*
The text appears to be a table comparing the effectiveness of two medications, Atenolol and Losartan, on the primary endpoint of an unspecified medical study. The table shows the percentage of patients with the primary endpoint, an adjusted risk reduction of 13%, and a corresponding p-value of 0.021. The table also includes the study month timeline from 0 to 66 months.*
This appears to be a graph comparing the percentage of patients with fatal and non-fatal stroke between two medications, Atenolol and Losartan, over the course of 66 months. However, without additional information or context, it is difficult to provide a more detailed description.*
This text presents results from a study comparing the efficacy of Losartan and Atenolol in preventing fatal/non-fatal primary composite stroke events. It provides data on the number of events, patient rates, and hazard ratios for each drug, categorized by age, gender, race, history of hypertension, diabetes, and CVD.*
This is a graph showing the risk reduction percentage of Losartan compared to placebo. The risk reduction is 16.1% for Losartan. The p-value is 0.02225. The x-axis shows the time in months (0, 12, 24, 36, 48). There is no further information available to provide context.*
* 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.