Product Images Kerendia

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Kerendia NDC 50419-540 by Bayer Healthcare Pharmaceuticals 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.

Kerendia 20 mg label - image 01

Kerendia 20 mg label - image 01

Kerendia (finerenone) is a tablet medication with each film-coated tablet containing 20 mg of finerenone. It is recommended to refer to prescription information for the proper dosage. The tablets should be kept out of children's reach and stored between 8-20°C to 25°C. The label also includes the product code NDC 50419.541.01.*

Kerendia 10 mg label - image 02

Kerendia 10 mg label - image 02

Kerendia is a prescription drug in the form of film-coated tablets. Each tablet contains 10 milligrams of finerenone. The recommended dosage should be sought from the prescribing information. It should be kept away from children. The storage temperature range is 20-25°C (68-77°F), with excursions permitted from 15-30°C (59-86°F). The manufacturer appears to be Torston, and the NDC is 50419-540-01.*

Kerendia Chemical Structure - image 03

Kerendia Chemical Structure - image 03

Figure 1 Time to Occurence of Kidney Failure - image 04

Figure 1 Time to Occurence of Kidney Failure - image 04

This graph displays the cumulative incidence probability for the planned treatment of Kerendia versus placebo in a clinical trial. The x-axis represents time in months and the y-axis shows the probability of event occurrence. The trial included a total of 2833 participants in the Kerendia group and 2841 in the placebo group. The graph displays the number of patients at risk at each time point for both groups.*

Time to Occurrence of CV death - image 05

Time to Occurrence of CV death - image 05

* 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.