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Dataset Information

Development of a multivariate predictive model for dapsone adverse drug events in people with leprosy under standard WHO multidrug therapy.


ABSTRACT:

Background

The occurrence of adverse drug events (ADEs) during dapsone (DDS) treatment in patients with leprosy can constitute a significant barrier to the successful completion of the standardized therapeutic regimen for this disease. Well-known DDS-ADEs are hemolytic anemia, methemoglobinemia, hepatotoxicity, agranulocytosis, and hypersensitivity reactions. Identifying risk factors for ADEs before starting World Health Organization recommended standard multidrug therapy (WHO/MDT) can guide therapeutic planning for the patient. The objective of this study was to develop a predictive model for DDS-ADEs in patients with leprosy receiving standard WHO/MDT.

Methodology

This is a case-control study that involved the review of medical records of adult (≥18 years) patients registe

SUBMITTER: de Araujo ACGDS 

PROVIDER: S-EPMC10846698 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature