Cinqair Injection, Solution, Concentrate
Product Images NDC 59310-610

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Cinqair (NDC 59310-610). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Teva Respiratory, Llc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Figure 1 (Image 1)

This is a graphic representation of the probability of not experiencing an asthma exacerbation over time, comparing the effects of CINQAIR 3.0 mg/kg and placebo in a sample of 245 and 264 subjects respectively. The x-axis represents time to first asthma exacerbation in weeks, and the y-axis represents the probability of not experiencing an exacerbation.*

FDA Label Image

Figure 2 (Image 2)

This appears to be a chart indicating the LS (least squares) mean change from baseline in FEV1 (forced expiratory volume) in liters over various weeks of a clinical trial involving a placebo group and a treatment group receiving a medication called CINQAIR. The medication group had 103 participants and the placebo group had 105. There is a scale on the left indicating changes in FEV1 in liters, ranging from -0.5 to 0.2.*

FDA Label Image

Trade Carton Image (Image 3)

This appears to be a description of a prescription medicine called CINQAIR (reslizumab) used for intravenous infusion. The dosage information is available on the package, and the medication must be refrigerated and is sterile. The injection contains 100 mg/10 mL of reslizumab and is diluted prior to administration. The medication is a treatment for nict_et. The text includes information about storage, expiration dates, and discarding unused portions.*

FDA Label Image

Sample Carton Image (Image 4)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.