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Development of a risk score for constrictive pericarditis using the Investigation of the Management of Pericarditis randomised clinical trial dataset
Despite the recent global decline of tuberculosis infections, constrictive pericarditis, one of the most serious consequences of tuberculous pericarditis, continues to be a major cause of morbidity and mortality in sub-Saharan Africa. Currently, while the risk of constrictive pericarditis in individ...
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| Format: | Thesis |
| Language: | English |
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Department of Statistical Sciences
2023
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| _version_ | 1867613198763425792 |
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| access_status_str | Open Access |
| author | Geffen, Hayli |
| author2 | Gumedze, Freedom |
| author_browse | Geffen, Hayli Gumedze, Freedom |
| author_facet | Gumedze, Freedom Geffen, Hayli |
| author_sort | Geffen, Hayli |
| collection | Thesis |
| description | Despite the recent global decline of tuberculosis infections, constrictive pericarditis, one of the most serious consequences of tuberculous pericarditis, continues to be a major cause of morbidity and mortality in sub-Saharan Africa. Currently, while the risk of constrictive pericarditis in individuals with tuberculous pericarditis does not appear to be uniform, there is no defined risk score available to predict an individual's baseline risk of constrictive pericarditis. Therefore the main aim of this research was to employ supervised learning classification using the data from 1400 participants enrolled in the first Investigation of the Management of Pericarditis randomised clinical trial to derive a risk score for constrictive pericarditis. While various supervised learning classification methods, including tree-based algorithms, support vector machines and artificial neural networks, were compared to stratify individuals according to low, medium and high risk for constrictive pericarditis, the final risk score was developed using logistic regression. Significant associations were found between constrictive pericarditis and the following predictors: HIV, New York Heart Association functional class, cardiac tamponade and effusive-constrictive pericarditis. Although prednisolone treatment was associated with a reduced relative risk of constrictive pericarditis in high (risk ratio = 0.59; 95% CI = 0.378 – 0.925) and medium (risk ratio = 0.12; 95% CI = 0.016 – 0.971) risk individuals, prednisolone treatment did not seem to benefit the individuals predicted to be at low risk (risk ratio = 0.92; 95% CI = 0.084 - 10.047) for constrictive pericarditis. These results confirm that the baseline risk of developing constrictive pericarditis in individuals with suspected or confirmed tuberculous pericarditis is not uniform. Importantly, interventions such as adjunctive prednisolone should only be recommended for individuals suspected to be at either medium or high risk for constrictive pericarditis as they are the most likely to benefit while prednisolone treatment should potentially be avoided in treating individuals with tuberculous pericarditis that are suspected to be at low risk for constrictive pericarditis as they are the least likely to derive any benefit. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/37154 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:20.328Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Department of Statistical Sciences |
| publisherStr | Department of Statistical Sciences |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/37154 Development of a risk score for constrictive pericarditis using the Investigation of the Management of Pericarditis randomised clinical trial dataset Geffen, Hayli Gumedze, Freedom Ntsekhe, Mpiko Statistical Sciences Despite the recent global decline of tuberculosis infections, constrictive pericarditis, one of the most serious consequences of tuberculous pericarditis, continues to be a major cause of morbidity and mortality in sub-Saharan Africa. Currently, while the risk of constrictive pericarditis in individuals with tuberculous pericarditis does not appear to be uniform, there is no defined risk score available to predict an individual's baseline risk of constrictive pericarditis. Therefore the main aim of this research was to employ supervised learning classification using the data from 1400 participants enrolled in the first Investigation of the Management of Pericarditis randomised clinical trial to derive a risk score for constrictive pericarditis. While various supervised learning classification methods, including tree-based algorithms, support vector machines and artificial neural networks, were compared to stratify individuals according to low, medium and high risk for constrictive pericarditis, the final risk score was developed using logistic regression. Significant associations were found between constrictive pericarditis and the following predictors: HIV, New York Heart Association functional class, cardiac tamponade and effusive-constrictive pericarditis. Although prednisolone treatment was associated with a reduced relative risk of constrictive pericarditis in high (risk ratio = 0.59; 95% CI = 0.378 – 0.925) and medium (risk ratio = 0.12; 95% CI = 0.016 – 0.971) risk individuals, prednisolone treatment did not seem to benefit the individuals predicted to be at low risk (risk ratio = 0.92; 95% CI = 0.084 - 10.047) for constrictive pericarditis. These results confirm that the baseline risk of developing constrictive pericarditis in individuals with suspected or confirmed tuberculous pericarditis is not uniform. Importantly, interventions such as adjunctive prednisolone should only be recommended for individuals suspected to be at either medium or high risk for constrictive pericarditis as they are the most likely to benefit while prednisolone treatment should potentially be avoided in treating individuals with tuberculous pericarditis that are suspected to be at low risk for constrictive pericarditis as they are the least likely to derive any benefit. 2023-03-02T11:40:58Z 2023-03-02T11:40:58Z 2022 2023-02-20T12:47:22Z Master Thesis Masters MSc http://hdl.handle.net/11427/37154 eng application/pdf Department of Statistical Sciences Faculty of Science |
| spellingShingle | Statistical Sciences Geffen, Hayli Development of a risk score for constrictive pericarditis using the Investigation of the Management of Pericarditis randomised clinical trial dataset |
| thesis_degree_str | Master's |
| title | Development of a risk score for constrictive pericarditis using the Investigation of the Management of Pericarditis randomised clinical trial dataset |
| title_full | Development of a risk score for constrictive pericarditis using the Investigation of the Management of Pericarditis randomised clinical trial dataset |
| title_fullStr | Development of a risk score for constrictive pericarditis using the Investigation of the Management of Pericarditis randomised clinical trial dataset |
| title_full_unstemmed | Development of a risk score for constrictive pericarditis using the Investigation of the Management of Pericarditis randomised clinical trial dataset |
| title_short | Development of a risk score for constrictive pericarditis using the Investigation of the Management of Pericarditis randomised clinical trial dataset |
| title_sort | development of a risk score for constrictive pericarditis using the investigation of the management of pericarditis randomised clinical trial dataset |
| topic | Statistical Sciences |
| url | http://hdl.handle.net/11427/37154 |
| work_keys_str_mv | AT geffenhayli developmentofariskscoreforconstrictivepericarditisusingtheinvestigationofthemanagementofpericarditisrandomisedclinicaltrialdataset |