Product Images Dofetilide
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 9 images provide visual information about the product associated with Dofetilide NDC 42794-044 by Sigmapharm Laboratories, Llc, 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 medical instructions for using the drug dofetilide to treat patients with certain heart conditions. The instructions include checking the patient's baseline QTc or QT levels, calculating their creatinine clearance, and adjusting the dosage of the medication based on these factors. The text also specifies when the drug is contraindicated and when it should be discontinued.*
This is a medication called Dofetilide available in capsules with a strength of 250 mcg (0.25 mg). It is recommended that the pharmacist provides each patient with a medication guide. The standard dosage is listed in the package insert. It should be stored at 20° to 25°C (68° to 77°F) with excursions allowed between 15°C to 30°C (59°F to 86°F) and kept away from moisture and humidity. The medicine must be dispensed in a tight container with a child-resistant closure. Sigmapharm Laboratories in Bensalem, PA is the manufacturer of this medication.*
This is a prescription medication with the name Dofetilide, which is a capsule. It is available in a pack of 60 capsules. Each capsule contains 500 mcg (0.5 mg) dofetilide, USP. The package insert should be reviewed for complete prescribing information. The medication should be stored at 20° to 25°C (68° to 77°F), and should be protected from moisture and humidity. This product should be dispensed in a tight container with a child-resistant closure. The text also includes a note to the pharmacist to dispense an accompanying medication guide to each patient. No additional information is available.*
* 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.