Author | Araujo, Ana Carolina Galvão dos Santos de | |
Author | Hacker, Mariana de Andrea Vilas-Boas | |
Author | Pinheiro, Roberta Olmo | |
Author | Illarramendi, Ximena | |
Author | Durães, Sandra Maria Barbosa | |
Author | Nobre, Maurício Lisboa | |
Author | Moraes, Milton Ozório | |
Author | Sales, Anna Maria | |
Author | Silva, Gilberto Marcelo Sperandio da | |
Access date | 2024-03-22T23:28:38Z | |
Available date | 2024-03-22T23:28:38Z | |
Document date | 2024 | |
Citation | ARAUJO, Ana Carolina Galvão dos Santos de et al. Development of a multivariate predictive model for dapsone adverse drug events in people with leprosy under standard WHO multidrug therapy. PLoS Neglected Tropical Diseases, v. 18, n. 1, p. 1-14, Jan. 2024. | en_US |
ISSN | 1935-2727 | en_US |
URI | https://www.arca.fiocruz.br/handle/icict/63180 | |
Description | Author Contributions: Conceptualization: Ana Carolina Galvão dos Santos de Araujo, Ximena Illarramendi, Sandra Maria Barbosa Durães, Maurı´cio Lisboa Nobre, Milton Ozo´rio Moraes, Anna Maria Sales, Gilberto Marcelo Sperandio da Silva. Data curation: Ana Carolina Galvão dos Santos de Araujo, Anna Maria Sales, Gilberto Marcelo Sperandio da Silva. Formal analysis: Ana Carolina Galvão dos Santos de Araujo, Mariana de Andrea Vilas-Boas Hacker, Anna Maria Sales, Gilberto Marcelo Sperandio da Silva. Investigation: Ana Carolina Galvão dos Santos de Araujo. Methodology: Ana Carolina Galvão dos Santos de Araujo, Mariana de Andrea Vilas-Boas Hacker, Anna Maria Sales, Gilberto Marcelo Sperandio da Silva. Supervision: Anna Maria Sales, Gilberto Marcelo Sperandio da Silva. Writing – original draft: Ana Carolina Galvão dos Santos de Araujo. Writing – review & editing: Roberta Olmo Pinheiro, Ximena Illarramendi, Sandra Maria Barbosa Durães, Maurı´cio Lisboa Nobre, Anna Maria Sales, Gilberto Marcelo Sperandio da Silva. | en_US |
Sponsorship | The work was financially supported by CNPq - Conselho Nacional de Desenvolvimento Cientı´fico e Tecnolo´gico (URL: https://www.gov.br/cnpq/pt-br, Grant number: 312802/2020-0 to ROP), FAPERJ - Fundac¸ão Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (URL: https://www.faperj.br/, Grant number: E-26/
201.176/2021 (260734) to ROP), and FIOCRUZ - Fundac¸ão Oswaldo Cruz. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. | en_US |
Language | eng | en_US |
Publisher | Public Library of Science | en_US |
Rights | open access | en_US |
Title | Development of a multivariate predictive model for dapsone adverse drug events in people with leprosy under standard WHO multidrug therapy | en_US |
Type | Article | en_US |
DOI | 10.1371/journal.pntd.0011901 | |
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. | en_US |
Affilliation | Oswaldo Cruz Foundation. Evandro Chagas National Institute of Infectious Diseases. Rio de Janeiro, RJ, Brazil. | en_US |
Affilliation | Oswaldo Cruz Foundation. Oswaldo Cruz Institute. Rio de Janeiro, RJ, Brazil. | en_US |
Affilliation | Oswaldo Cruz Foundation. Oswaldo Cruz Institute. Rio de Janeiro, RJ, Brazil. | en_US |
Affilliation | Oswaldo Cruz Foundation. Oswaldo Cruz Institute. Rio de Janeiro, RJ, Brazil. | en_US |
Affilliation | Fluminense Federal University. Dermatology Department. Niterói, RJ, Brazil. | en_US |
Affilliation | Rio Grande do Norte Federal State Public Health Department. Giselda Trigueiro Hospital. Natal, RN, Brazil. | en_US |
Affilliation | Oswaldo Cruz Foundation. Oswaldo Cruz Institute. Rio de Janeiro, RJ, Brazil. | en_US |
Affilliation | Oswaldo Cruz Foundation. Oswaldo Cruz Institute. Rio de Janeiro, RJ, Brazil. | en_US |
Affilliation | Oswaldo Cruz Foundation. Evandro Chagas National Institute of Infectious Diseases. Chagas Disease Clinical Research Laboratory. Rio de Janeiro, RJ, Brazil. | en_US |
Subject | Adverse Drug Events (ADEs) | en_US |
Subject | During Dapsone (DDS) | en_US |
Subject | World Health Organization (WHO) | en_US |
Subject | Dapsone Hypersensitivity Syndrome (DHS) | en_US |
e-ISSN | 1935-2735 | |