Product Images Valsartan And Hydrochlorothiazide
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Product Label Images
The following 9 images provide visual information about the product associated with Valsartan And Hydrochlorothiazide NDC 50090-1412 by A-s Medication Solutions, 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 describes a study that assesses the effectiveness of a medication in reducing systolic blood pressure in individuals with hypertension. The medication, which contains a combination of Valsartan and Hydrochlorothiazide, is evaluated at a dosage of 320 mg /25 mg. The study includes a placebo group and the results are presented in a graph, which shows the probability of achieving a systolic blood pressure of less than 140 mmHg after 8 weeks of treatment.*
The text shows a graph (Figure 2) displaying the probability of achieving a diastolic blood pressure of less than 90 mmHg after 8 weeks. The graph includes three data points: 95, 100, and 105. Additionally, there is a baseline measurement of DBP shown to be less than 90 mmHg.*
This is a graphic representation of the probability of achieving a systolic blood pressure of less than 130 mmHg at week 8 using a combination of Valsartan and Hydrochlorothiazide medication. The medication dosage is 320 mg/25 mg of Hydrochlorothiazide. The graph also shows the baseline systolic blood pressure range of 140-180 mmHg.*
This is a graph (Figure 4) that shows the probability of achieving a diastolic blood pressure of less than 80 mmHg after 8 weeks of treatment with Valsartan and Hydrochlorothiazide at a dosage of 320 mg and 25 mg respectively, compared to a placebo. The x-axis represents the baseline diastolic blood pressure while the y-axis represents the probability percentage. There are no readable characters to describe the text outside of the figure.*
* 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.