Product Images Lyrica
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 22 images provide visual information about the product associated with Lyrica NDC 43353-413 by Aphena Pharma Solutions - Tennessee, Llc, 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.
Pregabalin (Lyrica) is a medication available in capsule form with a strength of 75mg. The package contains 60 capsules.*
This is a prescription medication called Pregabalin, also known as Lyrica. The pack consists of 60 capsules with a dosage strength of 300mg. It is important to note that this medication may be habit-forming and should only be taken with a valid prescription.*
This is a product description for 60 capsules of 225mg pregabalin (Lyrica) medication. There are no further available details as the output contains some non-English characters.*
This appears to be a medical formula for calculating creatinine clearance rate (CLC) for female patients based on age, weight, and serum creatinine levels. The formula suggests subtracting the patient's age (in years) from 140, multiplying their weight (in kilograms) by 5, multiplying their serum creatinine level (in mg/dL) by 72, then dividing the result by the product of age and serum creatinine levels. The result should then be multiplied by 0.85 for female patients.*
The text is describing a chart or table that shows the percentage of patients improved from a baseline. There are some numbers and symbols that are not recognizable due to incorrect , so the information is incomplete.*
This table shows the percentage of subjects who improved after taking Pregabalin compared to Placebo over a 16 week period. The percentage of subjects who improved was 100%, but there is no additional information available in 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.