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 68071-4414 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 appears to be a label of a medication prescribed for high blood pressure. The medicine contains Losartan POtaSSium 50mg and is in tablet form with 90 tablets in one bottle. The label has lot numbers and serial numbers mentioned on it. It also has a warning to keep out of reach of children and advises to call a doctor in case of any side effects. The label has a disclaimer mentioning to see the manufacturer's label before use.*
This text seems to describe a comparison between two medications, Atenolol and Losartan Potassium. The comparison is possibly related to the percentage of patients who achieved the primary endpoint. The text also shows an adjusted risk reduction of 13%, with a p-value of 0.021. The study was possibly conducted for 66 months, with data collected at different intervals.*
This is a medical study comparing the effects of Atenolol and Losartan Potassium on patients. The study shows the percentage of fatal and non-fatal outcomes in patients taking each drug. There is an adjusted risk reduction of 25% with p=0.001. The study duration was 66 months and outcomes were measured at regular intervals from month 0 to month 66.*
This appears to be a table showing the percentages of patients with an event and the risk reduction of a drug called "Losttan Potassium" compared to a placebo. Unfortunately, there is no additional information to indicate what type of event, what condition the drug is treating, or the units of measurement.*
* 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.