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 60760-507 by St. Mary's Medical Park Pharmacy, 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.

PREGAB - Pregabalin 60760 507 60

PREGAB - Pregabalin 60760 507 60

This is a pharmaceutical label for a drug called Pregabalin. The drug comes in capsule form with a dosage of 150mg. The label contains storage instructions to store the drug at a temperature between 15°- 30° C. The label has a lot number, expiration date and manufacturer details.*

Figure 1 - pregabalin fig01

Figure 1 - pregabalin fig01

Figure 2 - pregabalin fig02

Figure 2 - pregabalin fig02

This appears to be a table showing the percent improvement in pain for patients taking Pregabalin 160mg over a period of 3 days. The table also includes some numerical values, but it is unclear what they represent. The text from the table is also missing some characters, making it difficult to interpret.*

Figure 3 - pregabalin fig03

Figure 3 - pregabalin fig03

This appears to be a table or chart showing the percentage improvement in pain for patients using different medications (Pregatalin, Pregabain, and Pregabalin) at different dosages and frequencies. The numbers 8, 88, and 83888 may correspond to different levels of improvement. The last line seems to show the time frame of the study, including a year and a week. Without more context or information, it is difficult to provide a more detailed description.*

Figure 4 - pregabalin fig04

Figure 4 - pregabalin fig04

Figure 5 - pregabalin fig05

Figure 5 - pregabalin fig05

This appears to be a table showing the results of a study on pain relief medication. The table lists three different medications (Fregabalin, Pregataiin, and Placebo) and the number of times they were taken each day. The table also shows the percentage of patients who showed improvement in their pain, as well as the percentage improvement in pain compared to the baseline. However, the text is not completely accurate and contains errors, making interpretation difficult.*

Figure 6 - pregabalin fig06

Figure 6 - pregabalin fig06

Figure 7 - pregabalin fig07

Figure 7 - pregabalin fig07

Figure 9 - pregabalin fig08

Figure 9 - pregabalin fig08

The text shows a graph displaying the percent of patients improved for Pregabalin at two different daily doses and Placebo. The X-axis displays the percent improvement in pain from baseline while the Y-axis displays the percentage of patients improved. The text does not provide any further information or context.*

Figure 10 - pregabalin fig09

Figure 10 - pregabalin fig09

This table shows estimated percentages of subjects without LTR (likely to refer to "low-threshold readiness") for different time intervals in days, ranging from 0 to 180. The data is related to Progabain and Placebo interventions, but there is not enough context to understand the nature of the interventions or LTR.*

Figure 11 - pregabalin fig10

Figure 11 - pregabalin fig10

Figure 12 - pregabalin fig11

Figure 12 - pregabalin fig11

The text provides a chart showing the improvement of subjects in percentage from baseline to week 16 under the medication of Pregabalin and Placebo. The chart shows values ranging from 100 to 280, with the x-axis ranging from 210 to 270.*

Cockcroft and Gault equation - pregabalin formula

Cockcroft and Gault equation - pregabalin formula

This appears to be a formula for calculating creatinine clearance (CLCT) using the patient's age, weight and serum creatinine level. However, some of the characters in the formula are not readable due to the "mmmmm" and "e e" present. It is not possible to provide an accurate description with incomplete information.*

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.