Product Images Levetiracetam
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 10 images provide visual information about the product associated with Levetiracetam NDC 70518-1921 by Remedyrepack 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.
This text provides instructions for calculating the total daily dose of a medication in mL/day based on the patient's weight and the daily dose in mg/kg/day. The medication is available in a concentration of 100 mg/mL.*
This text provides a formula to calculate CLer, which is a measure of renal function in patients. The equation requires the patient's age, weight, and serum creatinine level. For female patients, a certain value must be multiplied by the result of the equation. To further adjust for the patient's body surface area, a conversion factor is provided. CLer is expressed in mL/min and then adjusted to mL/min/1.73m^2.*
The text seems to be a table showing the percentage of patients for each group (Placebo, Levetiracetam 1000 mg/day, and Levetiracetam 2000 mg/day) in a clinical trial. The percentages range from 0% to 35.2%. However, there is not enough information to determine the specific purpose or results of the trial.*
This is a table showing the percentage of patients in a clinical trial who received either a placebo or levetiracetam. The percentages range from 0% to 44.6%. There are some unreadable characters in the text.*
This appears to be a graph or chart displaying percentages of patients for different categories. The categories are not provided but are likely related to treatment or outcomes. The percentages range from 0% to 100%. There are two groups listed, one treated with placebo (N=84) and the other with levetiracetam (N=79). There are specific percentages listed for each group, although it is unclear what information they represent.*
* 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.