Product Images Uplizna

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Uplizna NDC 75987-150 by Horizon Therapeutics Usa, 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.

Figure 1 Kaplan-Meier Plot of Time to First Adjudication Committee-Determined NMOSD Relapse in the Randomized-Controlled Period (ITT Population; anti-AQP4 Antibody Positive Patients) - inebilizumab injection 100 mg per 10 ml 01

Figure 1 Kaplan-Meier Plot of Time to First Adjudication Committee-Determined NMOSD Relapse in the Randomized-Controlled Period (ITT Population; anti-AQP4 Antibody Positive Patients) - inebilizumab injection 100 mg per 10 ml 01

PRINCIPAL DISPLAY PANEL - 100 mg/10 mL Vial Carton - uplizna 02

PRINCIPAL DISPLAY PANEL - 100 mg/10 mL Vial Carton - uplizna 02

UPLIZNA is an injection medication used for intravenous infusion. Before use, the product must be diluted and prepared into three single-dose vials or complete doses of 300 mg. Any unused portion should be discarded. Each patient should be given a copy of the accompanying injection medication guide. The dosage information is available in the prescribing information. The store should keep the vials upright. The text also mentions the manufacturer, UPC code, and NDC number but no information that can be helpful.*

PRINCIPAL DISPLAY PANEL - 100 mg/10 mL Vial Label - uplizna 03

PRINCIPAL DISPLAY PANEL - 100 mg/10 mL Vial Label - uplizna 03

UPLIZNA is an injection used for intravenous infusion after dilution. The medication contains 100mg/mL (10mg/m). Its active ingredient is inehilizumab-cdon. The product is distributed in an APL2220/2 - 250LBLOT and its NDC is 75987-150-01. No additional information is available from the provided text.*

* 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.