Product Images Fluticasone Furoate And Vilanterol
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Product Label Images
The following 27 images provide visual information about the product associated with Fluticasone Furoate And Vilanterol NDC 66993-135 by Prasco Laboratories, 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 table showing interactions between two drugs - Ketoconazole and Verapamil. The table includes a "Fold Change" column, and some percentages and values but it is not clear what they refer to. The table also includes the recommendation to exercise caution and to not adjust the dose without consulting a healthcare provider.*
This appears to be a graph showing the LS Mean Change from Baseline in milliliters over time since dose in hours for three different treatments: Fluticasone furoate/vilanterol 100mcg/25mcg, Fluticasone furoate/vilanterol 200mcg/25mcg, and Fluticasone furoate 100mcg using ELLIPTA.*
NDC 66993-135-97 is the code for Fluticasone Furoate/Vilanterol ELLIPTA Inhalation Powder for oral inhalation only. It comes in an inhaler containing 30 doses and contains 2 foil strips of 30 blisters each. One strip contains 100 meg of fluticasone furoate and lactose monohydrate while the other strip contains 25 mcg of vilanterol, magnesium stearate, and lactose monohydrate. It is meant for prescription only.*
NDC 66993-136-97 is a prescription medication in the form of Fluticasone Furoate/Vilanterol ELLIPTA Inhalation Powder for oral inhalation. It contains two separate foil strips. One strip contains 30 blisters where each blister contains 200 mcg of fluticasone furoate and lactose monohydrate, while the other strip contains 30 blisters where each blister contains 25 mcg of vilanterol, magnesium stearate, and lactose monohydrate. Its package comes with an ELLIPTA inhaler containing 30 doses, 60 blisters in total.*
* 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.