Product Images Tudorza Pressair
View Photos of Packaging, Labels & Appearance
- Structural Formula - ChecmicalStructure
- Figure 1 - Figure 1 Change from baseline in FEV1Over Time (prior to and after administration of study drug) at Week 1 in Trial A
- Figure 2 - Figure 2
- Figure_4_Time_to_first - figure 4 time to first
- Figure_3 - figure 3
- Figure_A_IFU - image 01
- Figure_C_IFU - image 02
- Figure_B_IFU - image 03
- Figure_D_IFU - image 04
- Figure_E_IFU - image 05
- Figure_F_IFU - image 06
- Figure_G_IFU - image 07
- Figure_H_IFU - image 08
- Figure_I_IFU - image 09
- Figure_J_IFU - image 10
- Figure_K_IFU - image 11
- Figure_L_IFU - image 12
- Figure_M_IFU - image 13
- Figure_N_IFU - image 14
- Figure_O_IFU - image 15
- Figure_P_IFU - image 16
- 60 metered doses carton - image 17
Product Label Images
The following 22 images provide visual information about the product associated with Tudorza Pressair NDC 70515-002 by Covis Pharma Us, 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.
Figure 1 - Figure 1 Change from baseline in FEV1Over Time (prior to and after administration of study drug) at Week 1 in Trial A
Figure_A_IFU - image 01
The text appears to be describing the features of an inhaler. It mentions a control window, a green button, and a dose indicator that turns green when the inhaler is ready to use. It also mentions a protective cap, a red indicator that signifies correct inhalation of medicine, and a mouthpiece.*
60 metered doses carton - image 17
Tudorza Pressair is an inhalation powder medication containing aclidinium bromide. Each actuation contains 400 mcg of the active ingredient, and the package contains 60 metered doses. It is intended for oral inhalation and is used to treat certain respiratory conditions. The product is identified by the NDC code 70515-002-01.*
* 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.