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Product Images Kedbumin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Kedbumin NDC 76179-025 by Kedrion S.p.a, 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.

PACKAGE LABEL – PRINCIPAL DISPLAY PANEL – 50 ML VIAL - kedbumin 01

PACKAGE LABEL – PRINCIPAL DISPLAY PANEL – 50 ML VIAL - kedbumin 01

This is a description of Albumin (Human) U.S.P. Kedbumin 25%, a pharmaceutical product for intravenous infusion only. The solution is hyperoncotic and each 50 mL contains 12.5 g of albumin (human) in aqueous content. The product is distributed by Kedrion§ p.A and manufactured by Kedrion Biopharma, Inc. The precautions indicate not to freeze the product and to keep the vial in outer packaging to protect from light. The text includes instructions for use, risks, benefits, and the storage temperature limit. There is also information regarding the solution's sodium range, no preservatives, and US license number. The description includes a Lot number and Expiration date, but no additional details are provided.*

PACKAGE LABEL – PRINCIPAL DISPLAY PANEL – 50 ML CARTON - kedbumin 02

PACKAGE LABEL – PRINCIPAL DISPLAY PANEL – 50 ML CARTON - kedbumin 02

This is a product description for KEDBUMIN 25%, containing human Albumin, in a 50 ml vial. Each vial contains 12.5g of Albumin in an aqueous divent, stabilized with 0.08 millimole sodium capryiate and 0.08 millimole acetylpryptophan per gram of albumin. It is used for Intravenous Infusion only and should not be used if turbid. It is stored at a temperature not exceeding 30 °C (86 °F), protected from light, and is not frozen. KEDBUMIN 25% is manufactured by Kedion S.p.A in Italy, and distributed by Kedrion Biopharma, Inc., based in the United States.*

* 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.