Development of a multivariate predictive model for dapsone adverse drug events in people with leprosy under standard WHO multidrug therapy.
<h4>Background</h4>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, me...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2024-01-01
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| Series: | PLoS Neglected Tropical Diseases |
| Online Access: | https://journals.plos.org/plosntds/article/file?id=10.1371/journal.pntd.0011901&type=printable |
| _version_ | 1827351256209817600 |
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| author | Ana Carolina Galvão Dos Santos de Araujo Mariana de Andrea Vilas-Boas Hacker Roberta Olmo Pinheiro Ximena Illarramendi Sandra Maria Barbosa Durães Maurício Lisboa Nobre Milton Ozório Moraes Anna Maria Sales Gilberto Marcelo Sperandio da Silva |
| author_facet | Ana Carolina Galvão Dos Santos de Araujo Mariana de Andrea Vilas-Boas Hacker Roberta Olmo Pinheiro Ximena Illarramendi Sandra Maria Barbosa Durães Maurício Lisboa Nobre Milton Ozório Moraes Anna Maria Sales Gilberto Marcelo Sperandio da Silva |
| author_sort | Ana Carolina Galvão Dos Santos de Araujo |
| collection | DOAJ |
| description | <h4>Background</h4>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.<h4>Methodology</h4>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).<h4>Results</h4>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.<h4>Conclusion</h4>We propose a clinical model that could become a helpful tool for physicians in predicting ADEs in DDS-treated leprosy patients. |
| first_indexed | 2024-03-08T01:59:32Z |
| format | Article |
| id | doaj.art-1fc1af22695b498b8c71f7ab56bc88da |
| institution | Directory Open Access Journal |
| issn | 1935-2727 1935-2735 |
| language | English |
| last_indexed | 2024-03-08T01:59:32Z |
| publishDate | 2024-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Neglected Tropical Diseases |
| spelling | doaj.art-1fc1af22695b498b8c71f7ab56bc88da2024-02-14T05:33:16ZengPublic Library of Science (PLoS)PLoS Neglected Tropical Diseases1935-27271935-27352024-01-01181e001190110.1371/journal.pntd.0011901Development of a multivariate predictive model for dapsone adverse drug events in people with leprosy under standard WHO multidrug therapy.Ana Carolina Galvão Dos Santos de AraujoMariana de Andrea Vilas-Boas HackerRoberta Olmo PinheiroXimena IllarramendiSandra Maria Barbosa DurãesMaurício Lisboa NobreMilton Ozório MoraesAnna Maria SalesGilberto Marcelo Sperandio da Silva<h4>Background</h4>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.<h4>Methodology</h4>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).<h4>Results</h4>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.<h4>Conclusion</h4>We propose a clinical model that could become a helpful tool for physicians in predicting ADEs in DDS-treated leprosy patients.https://journals.plos.org/plosntds/article/file?id=10.1371/journal.pntd.0011901&type=printable |
| spellingShingle | Ana Carolina Galvão Dos Santos de Araujo Mariana de Andrea Vilas-Boas Hacker Roberta Olmo Pinheiro Ximena Illarramendi Sandra Maria Barbosa Durães Maurício Lisboa Nobre Milton Ozório Moraes Anna Maria Sales Gilberto Marcelo Sperandio da Silva Development of a multivariate predictive model for dapsone adverse drug events in people with leprosy under standard WHO multidrug therapy. PLoS Neglected Tropical Diseases |
| title | Development of a multivariate predictive model for dapsone adverse drug events in people with leprosy under standard WHO multidrug therapy. |
| title_full | Development of a multivariate predictive model for dapsone adverse drug events in people with leprosy under standard WHO multidrug therapy. |
| title_fullStr | Development of a multivariate predictive model for dapsone adverse drug events in people with leprosy under standard WHO multidrug therapy. |
| title_full_unstemmed | Development of a multivariate predictive model for dapsone adverse drug events in people with leprosy under standard WHO multidrug therapy. |
| title_short | Development of a multivariate predictive model for dapsone adverse drug events in people with leprosy under standard WHO multidrug therapy. |
| title_sort | development of a multivariate predictive model for dapsone adverse drug events in people with leprosy under standard who multidrug therapy |
| url | https://journals.plos.org/plosntds/article/file?id=10.1371/journal.pntd.0011901&type=printable |
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