Product Images Dalfampridine
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Dalfampridine NDC 62756-429 by Sun Pharmaceutical Industries, 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.
spl-dalfampridine-figure1 - spl dalfampridine figure1
The text describes a chart showing the average percent increase in walking speed from baseline for patients who either took a placebo or Dalfampridine 10 mg bid. The chart also includes the percentage of patients in each group.*
spl-dalfampridine-figure2 - spl dalfampridine figure2
This is a table showing the percentage of patients and their average percent increase in walking speed from baseline. The table has two columns with the percentages ranging from 0% to 100% and the rows showing the placebo control group labeled BPiacebo (N=118) and the treatment group labeled B Daftanpridine 10 mg bid (N=119). The data also shows the average percent increase in walking speed for the treatment group, with the numbers ranging from 210% to >50%.*
spl-dalfampridine-formula - spl dalfampridine formula
The first text is a formula to calculate an individual's ideal weight based on age and weight in kilograms. The second text is likely a formula to calculate Creatinine Clearance (Crol) based on Serum Creatinine level in milligrams per day, multiplied by 72.*
spl-dalfampridine-label - spl dalfampridine label
This is a medication package of Dalfampridine Extended-Release Tablets with the National Drug Code (NDC) 62756-429-86. The pharmacist is instructed to provide a medication guide to each patient. The package contains 60 tablets and is available by prescription only. However, the rest of the text seems to be illegible due to errors.*
spl-dalfampridine-structure - spl dalfampridine structure
* 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.