Product Images Losartan Potassium 50 Mg

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Losartan Potassium 50 Mg NDC 51655-418 by Northwind Pharmaceuticals, Llc, 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.

image001 - 03375ec9 0e3a 40c2 8c77 de5d9fd21876 01

image001 - 03375ec9 0e3a 40c2 8c77 de5d9fd21876 01

image002 - 03375ec9 0e3a 40c2 8c77 de5d9fd21876 02

image002 - 03375ec9 0e3a 40c2 8c77 de5d9fd21876 02

This appears to be a chart showing the percentage of patients who reached the primary endpoint in a study comparing Atenolol and Sartan Potassium. It also shows an adjusted risk reduction of 13% with a p-value of 0.021. The months of the study are listed on the bottom.*

image003 - 03375ec9 0e3a 40c2 8c77 de5d9fd21876 03

image003 - 03375ec9 0e3a 40c2 8c77 de5d9fd21876 03

The text is not available as it lacks context and meaningful information.*

image004 - 03375ec9 0e3a 40c2 8c77 de5d9fd21876 04

image004 - 03375ec9 0e3a 40c2 8c77 de5d9fd21876 04

This is a table showing results of a study on the primary composite stroke (fatal/non-fatal) using Losartan Potassium and Atenolol medication. The table presents information by age, gender, race, hypertension status, diabetes status, and history of cardiovascular disease. The event rate and hazard ratio are also displayed for each group.*

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image005 - 03375ec9 0e3a 40c2 8c77 de5d9fd21876 05

This may be a graph or chart showing risk reduction percentages and the number of patients with events. Without more context, it is difficult to determine the exact nature of the data.*

Label - 51655 418 26 Master Bottle Label Approval Rev A 07 20

Label - 51655 418 26 Master Bottle Label Approval   Rev A 07 20

The text is not readable.*

* 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.