Product Images Crestor
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Crestor NDC 69189-0752 by Avera Mckennan Hospital, 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 appears to be a chart of different statin medications (Crestor, Atorvastatin, Simvastatin, Pravastatin) and their doses in milligrams (mg). The chart also shows percent change from "hasel el" (likely a misspelling of "baseline"), possibly indicating the impact of the medication on cholesterol levels or another health metric. However, without more context or a clear format, it is difficult to provide a more specific description or interpretation of the data.*
The text provides information about Cumulative incidence with the help of HR values and Number at risk. However, there is not enough context to determine what the incident is related to.*
The text describes the number of events and related data for a clinical trial. The trial involved two groups: Roswa2omg and Placebo2omg with 8501 and 8901 participants, respectively. The text reports event rates and hazard ratios for primary and secondary endpoints of the trial, including rates of Cardiovascular death, Nonfatal Stroke, Nonfatal MI, and arterial revascularization. The text provides details on how event rate is calculated, and reports p-values for each endpoint comparison.*
This is a description of a medication called Rosuvastatin Calcium, specifically the 20mg tablet variant. The manufacturer is AstraZeneca and the lot number is HB0184, while the hospital lot number is APF16D13-K. The medication's expiration date is listed as 04/13/2017. The medication is associated with NDC number 6918907521. The remainder of the text is not clear and therefore not available for description.*
* 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.