Product Images Pregabalin
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 15 images provide visual information about the product associated with Pregabalin NDC 82804-049 by Proficient Rx Lp, 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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The given text is displaying responder rates (%) for a certain condition or treatment. The rates mentioned in the text range from 40.6% to 22.6%. Additionally, there is a mention of a placebo dosage of 2.5 mg/kg/day and 10 mg/kg/day, with response rates indicated as 93% and 103% respectively.*
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82804-049-60 - pregabalin caps 25mg 30ct
This text appears to be a medication label for Pregabalin 25mg capsules. The capsules are packaged by Proficient Rx LP and contain 25mg of pregabalin. The label indicates that there are 50 capsules in one package, and the lot number is 00000. The medication guide should be provided to each patient. The capsules are white to off-white and have the imprint "SG" on the cap and "350" on the body. The product is manufactured by ScieGen Pharmaceuticals, Inc. and should be stored at 25°C (77°F). It is important to keep the medication out of the reach of children.*
Cockcroft and Gault equation - pregabalin formula
The given text appears to be a formula for calculating CLCT (Creatinine Clearance) using age, weight, and serum creatinine levels. However, some parts of the text are not readable due to errors. The complete formula is as follows: CLCT = [140 - age (years)] x weight (kg) x 0.85 (for female patients) - 72 x serum creatinine (mg/dL). The formula calculates the creatinine clearance, which is a measure of kidney function, based on age, weight, and serum creatinine levels. The specific adjustment for female patients is also included.*
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.