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Development and validation of a prognostic score during tuberculosis treatment

BACKGROUND: Death under care is a major challenge for tuberculosis (TB) treatment programs. We derived and validated a simple score to predict mortality during tuberculosis treatment in high endemicity areas. METHODS: We used data for patients aged ≥15 years, diagnosed and treated for tuberculosis a...

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Autores principales: Pefura-Yone, Eric Walter, Balkissou, Adamou Dodo, Poka-Mayap, Virginie, Fatime-Abaicho, Hadja Koté, Enono-Edende, Patrick Thierry, Kengne, André Pascal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5385091/
https://www.ncbi.nlm.nih.gov/pubmed/28388895
http://dx.doi.org/10.1186/s12879-017-2309-9
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author Pefura-Yone, Eric Walter
Balkissou, Adamou Dodo
Poka-Mayap, Virginie
Fatime-Abaicho, Hadja Koté
Enono-Edende, Patrick Thierry
Kengne, André Pascal
author_facet Pefura-Yone, Eric Walter
Balkissou, Adamou Dodo
Poka-Mayap, Virginie
Fatime-Abaicho, Hadja Koté
Enono-Edende, Patrick Thierry
Kengne, André Pascal
author_sort Pefura-Yone, Eric Walter
collection PubMed
description BACKGROUND: Death under care is a major challenge for tuberculosis (TB) treatment programs. We derived and validated a simple score to predict mortality during tuberculosis treatment in high endemicity areas. METHODS: We used data for patients aged ≥15 years, diagnosed and treated for tuberculosis at the Yaounde Jamot Hospital between January 2012 and December 2013. Baseline characteristics associated with mortality were investigated using logistic regressions. A simple prognosis score (CABI) was constructed with regression coefficients for predictors in the final model. Internal validation used bootstrap resampling procedures. Models discrimination was assessed using c-statistics and calibration assessed via calibration plots and the Hosmer and Lemeshwow (H-L) statistics. The optimal score was based on the Youden’s index. RESULTS: A total of 2250 patients (men 57.2%) with a mean age of 35.8 years were included; among whom 213 deaths (cumulative incidence 9.5%) were recorded. Clinical form of tuberculosis (C), age (A, years), adjusted body mass index (B, BMI, kg/m(2)) and status for HIV (Human immunodefiency virus) infection (I) were significant predictors in the final model (p < 0.0001) which was of the form Death risk = 1/(1 + e (− (−1.3120 + 0.0474 ∗ age − 0.1866 ∗ BMI + 1.1637 (if smear negative TB) + 0.5418(if extra − pulmonary TB) + 1.3820(if HIV+)))). The c-statistic was 0.812 in the derivation sample and 0.808 after correction for optimism. The calibration was good [H-Lχ(2) = 6.44 (p = 0.60)]. The optimal absolute risk threshold was 4.8%, corresponding to a sensitivity of 81% and specificity of 67%. CONCLUSIONS: The preliminary promising findings from this study require confirmation through independent external validation studies. If confirmed, the model derived could facilitate the stratification of TB patients for mortality risk and implementation of additional monitoring and management measures in vulnerable patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-017-2309-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-53850912017-04-12 Development and validation of a prognostic score during tuberculosis treatment Pefura-Yone, Eric Walter Balkissou, Adamou Dodo Poka-Mayap, Virginie Fatime-Abaicho, Hadja Koté Enono-Edende, Patrick Thierry Kengne, André Pascal BMC Infect Dis Research Article BACKGROUND: Death under care is a major challenge for tuberculosis (TB) treatment programs. We derived and validated a simple score to predict mortality during tuberculosis treatment in high endemicity areas. METHODS: We used data for patients aged ≥15 years, diagnosed and treated for tuberculosis at the Yaounde Jamot Hospital between January 2012 and December 2013. Baseline characteristics associated with mortality were investigated using logistic regressions. A simple prognosis score (CABI) was constructed with regression coefficients for predictors in the final model. Internal validation used bootstrap resampling procedures. Models discrimination was assessed using c-statistics and calibration assessed via calibration plots and the Hosmer and Lemeshwow (H-L) statistics. The optimal score was based on the Youden’s index. RESULTS: A total of 2250 patients (men 57.2%) with a mean age of 35.8 years were included; among whom 213 deaths (cumulative incidence 9.5%) were recorded. Clinical form of tuberculosis (C), age (A, years), adjusted body mass index (B, BMI, kg/m(2)) and status for HIV (Human immunodefiency virus) infection (I) were significant predictors in the final model (p < 0.0001) which was of the form Death risk = 1/(1 + e (− (−1.3120 + 0.0474 ∗ age − 0.1866 ∗ BMI + 1.1637 (if smear negative TB) + 0.5418(if extra − pulmonary TB) + 1.3820(if HIV+)))). The c-statistic was 0.812 in the derivation sample and 0.808 after correction for optimism. The calibration was good [H-Lχ(2) = 6.44 (p = 0.60)]. The optimal absolute risk threshold was 4.8%, corresponding to a sensitivity of 81% and specificity of 67%. CONCLUSIONS: The preliminary promising findings from this study require confirmation through independent external validation studies. If confirmed, the model derived could facilitate the stratification of TB patients for mortality risk and implementation of additional monitoring and management measures in vulnerable patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-017-2309-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-04-08 /pmc/articles/PMC5385091/ /pubmed/28388895 http://dx.doi.org/10.1186/s12879-017-2309-9 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Pefura-Yone, Eric Walter
Balkissou, Adamou Dodo
Poka-Mayap, Virginie
Fatime-Abaicho, Hadja Koté
Enono-Edende, Patrick Thierry
Kengne, André Pascal
Development and validation of a prognostic score during tuberculosis treatment
title Development and validation of a prognostic score during tuberculosis treatment
title_full Development and validation of a prognostic score during tuberculosis treatment
title_fullStr Development and validation of a prognostic score during tuberculosis treatment
title_full_unstemmed Development and validation of a prognostic score during tuberculosis treatment
title_short Development and validation of a prognostic score during tuberculosis treatment
title_sort development and validation of a prognostic score during tuberculosis treatment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5385091/
https://www.ncbi.nlm.nih.gov/pubmed/28388895
http://dx.doi.org/10.1186/s12879-017-2309-9
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