Product Images Albumin (human)

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Albumin (human) NDC 67467-633 by Octapharma Pharmazeutika Produktionsgesellschaft M.b.h., 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.

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Image File - img0001

This seems to be a table showing the reduction factor of various viruses during different production steps. It includes enveloped viruses such as PRV, SBV, and HIV-1, and non-enveloped viruses including REO3, PPV, and HAV. The reduction factor is shown in logarithmic scale [log;o]. The production steps include precipitation and pasteurization, as well as the final container. There is also a global reduction factor listed.*

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Image File - img0002

This text seems to be a medication label for Albumin (Human), indicating that it is intended for intravenous infusion only. It also advises against using it if it appears turbid and mentions that the solution should be protected from light and not to be frozen. The text further states that the medication may be stored for up to 36 months at certain temperatures. However, it does not provide any specific information about the medical condition it is used for or its potential side effects.*

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Image File - img0003

Albumin (Human) is a medication for intravenous infusion that comes in a 20g per 100 mL concentration without preservatives. The package insert should be reviewed for dosage and administration instructions. It should not be used if the seal is broken and should be protected from light and freezing. The medication can be stored for up to 36 months in a temperature range of +2°C to +25°C from the date of manufacture. The NDC number is 67467-633.02.*

* 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.