Product Images Pregabalin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 14 images provide visual information about the product associated with Pregabalin NDC 71335-9740 by Bryant Ranch Prepack, 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.

Label - lbl713359740

Label - lbl713359740

Figure 1 - pregabalin fig01

Figure 1 - pregabalin fig01

Figure 2 - pregabalin fig02

Figure 2 - pregabalin fig02

Figure 3 - pregabalin fig03

Figure 3 - pregabalin fig03

Figure 4 - pregabalin fig04

Figure 4 - pregabalin fig04

Figure 5 - pregabalin fig05

Figure 5 - pregabalin fig05

Figure 6 - pregabalin fig06

Figure 6 - pregabalin fig06

Figure 7 - pregabalin fig07

Figure 7 - pregabalin fig07

Figure 9 - pregabalin fig08

Figure 9 - pregabalin fig08

Figure 10 - pregabalin fig09

Figure 10 - pregabalin fig09

Figure 11 - pregabalin fig10

Figure 11 - pregabalin fig10

Figure 12 - pregabalin fig11

Figure 12 - pregabalin fig11

The text provided is a table showing the percentage improvement of subjects for different treatment groups (Pregabalin and Placebo) over a 16-week period. The table includes numbers ranging from 100 to 280 in increments of 10, indicating the percent improvement from baseline to week 16 for each group.*

Cockcroft and Gault equation - pregabalin formula

Cockcroft and Gault equation - pregabalin formula

This is a calculation for estimating CLCT (clearance of creatinine) in patients. It involves multiplying the difference between 140 and the patient's age (in years) by their weight (in kg). For female patients, the result is then multiplied by 0.85. The final step is to multiply the result by the serum creatinine level (in mg/dL), which is measured in the blood.*

Chemical Structure - pregabalin str

Chemical Structure - pregabalin str

* 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.