Article ; Online: Development of a multivariate predictive model for dapsone adverse drug events in people with leprosy under standard WHO multidrug therapy.
PLoS neglected tropical diseases
2024 Volume 18, Issue 1, Page(s) e0011901
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- ... ...
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 registered at a Leprosy Reference Center in Rio de Janeiro, Brazil. The cohort included individuals that received standard WHO/MDT between January 2000 to December 2021. A prediction nomogram was developed by means of multivariable logistic regression (LR) using variables. The Hosmer-Lemeshow test was used to determine the model fit. Odds ratios (ORs) and their respective 95% confidence intervals (CIs) were estimated. The predictive ability of the LRM was assessed by the area under the receiver operating characteristic curve (AUC). Results: A total of 329 medical records were assessed, comprising 120 cases and 209 controls. Based on the final LRM analysis, female sex (OR = 3.61; 95% CI: 2.03-6.59), multibacillary classification (OR = 2.5; 95% CI: 1.39-4.66), and higher education level (completed primary education) (OR = 1.97; 95% CI: 1.14-3.47) were considered factors to predict ADEs that caused standard WHO/MDT discontinuation. The prediction model developed had an AUC of 0.7208, that is 72% capable of predicting DDS-ADEs. Conclusion: We propose a clinical model that could become a helpful tool for physicians in predicting ADEs in DDS-treated leprosy patients. |
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MeSH term(s) | Adult ; Humans ; Female ; Dapsone/adverse effects ; Leprostatic Agents/adverse effects ; Rifampin/therapeutic use ; Drug Therapy, Combination ; Case-Control Studies ; Clofazimine/therapeutic use ; Brazil/epidemiology ; Leprosy/drug therapy ; Drug-Related Side Effects and Adverse Reactions ; World Health Organization |
Chemical Substances | Dapsone (8W5C518302) ; Leprostatic Agents ; Rifampin (VJT6J7R4TR) ; Clofazimine (D959AE5USF) |
Language | English |
Publishing date | 2024-01-25 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 2429704-5 |
ISSN | 1935-2735 ; 1935-2735 |
ISSN (online) | 1935-2735 |
ISSN | 1935-2735 |
DOI | 10.1371/journal.pntd.0011901 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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