American Journal of Internal Medicine

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Prediction of Post-Tuberculosis Lung Function Impairment

Received: 09 December 2018    Accepted: 25 December 2018    Published: 18 January 2019
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Abstract

Objective: The aim of this study was to establish prediction equations for post-tuberculosis residual lung function in patients successfully treated for pulmonary tuberculosis (PTB). Methods: This study took place at the Yaounde Jamot Hospital of Yaounde (YJH) and used data from three cross-sectional studies conducted from January to July 2015 (7 months), December 2015 to May 2016 (6 months) and from January to May 2017 (5 months). Adults successful treated for bacteriologically proven pulmonary TB were included. Spirometric indices including forced expiratory volume in 1s (FEV1), forced vital capacity (FVC) and FEV1/FVC ratio were measured using standard methods. Predicted values were estimated using the reference spirometric equations of the Global Lung Initiative equations (GLI) 2012. General linear models were used to establish prediction equations of post-tuberculous residual lung function. Internal validation of the derived models used the bootstrap resampling procedures. A difference was considered significant if p < 5%. Results: In this study, 400 patients (53.5% men) were included. The median age (25th -75th percentiles) of men was 40 (31-50) years and that of women was 36(27.8-46) years (p=0.002). Determinants of the post-tuberculosis spirometric indices vary according to each indice and include age, weight, height, body mass index, smoking, duration of symptoms before TB treatment, persistent of respiratory symptoms after TB treatment, persistent of cavity lesions and extension of lung sequelae. The prediction equations of the spirometric indices have been established separately for men and women to account for significant differences in the absolute values of spirometric parameters in men and women. The prediction equations of residual lung function parameters were in the form: lung function parameters = Intercept + β1*P1 + β2*P2 +…βn*Pn; βn is regression coefficient for corresponding predictor (Pn), for categorical variables Pn is 1 if the modality is present and 0 if the modality is absent. For each of the spirometric variable, differences in performance measures (optimism) were mostly marginal. Conclusion: The equations developed and validated in this study could help the selection of patients in whom spirometry should be a priority after TB treatment. Like any newly developed model, results from this study are just preliminary findings. Models will require independent external validation to establish the performance both in the study setting and in other settings.

DOI 10.11648/j.ajim.20180606.14
Published in American Journal of Internal Medicine (Volume 6, Issue 6, November 2018)
Page(s) 170-181
Creative Commons

This is an Open Access article, 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 or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Tuberculosis, Residual Lung Function, Spirometry, Sequelae, Obstructive Lung Disease, Restrictive Pattern

References
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Author Information
  • Department of Internal medicine, Faculty of Medicine and Biomedical Sciences, The University of Yaounde 1, Yaounde, Cameroon; Pneumology A Service, Yaounde Jamot Hospital, Yaounde, Cameroon

  • Faculty of Medicine and Biomedical Sciences of Garoua, University of Ngaoundéré, Garoua, Cameroon

  • Approved Treatment Center for HIV, Yaounde Jamot Hospital, Yaounde, Cameroon

  • Pneumology A Service, Yaounde Jamot Hospital, Yaounde, Cameroon

  • Department of Radiology and Medical Imaging, Faculty of Medicine and Biomedical Sciences, The University of Yaounde 1, Yaounde, Cameroon

  • Institut Supérieur de Technologie Médicale, Yaounde, Cameroon

  • Faculty of Medicine and Biomedical Sciences, The University of Yaounde 1, Yaounde, Cameroon

  • Faculty of Health Sciences, University of Bamenda, Bambili, Cameroon

  • Medical Research Council, Cape Town, South Africa

Cite This Article
  • APA Style

    Eric Walter Pefura-Yone, Adamou Dodo Balkissou, Amadou Djenabou, Virginie Poka-Mayap, Boniface Moifo, et al. (2019). Prediction of Post-Tuberculosis Lung Function Impairment. American Journal of Internal Medicine, 6(6), 170-181. https://doi.org/10.11648/j.ajim.20180606.14

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    ACS Style

    Eric Walter Pefura-Yone; Adamou Dodo Balkissou; Amadou Djenabou; Virginie Poka-Mayap; Boniface Moifo, et al. Prediction of Post-Tuberculosis Lung Function Impairment. Am. J. Intern. Med. 2019, 6(6), 170-181. doi: 10.11648/j.ajim.20180606.14

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    AMA Style

    Eric Walter Pefura-Yone, Adamou Dodo Balkissou, Amadou Djenabou, Virginie Poka-Mayap, Boniface Moifo, et al. Prediction of Post-Tuberculosis Lung Function Impairment. Am J Intern Med. 2019;6(6):170-181. doi: 10.11648/j.ajim.20180606.14

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  • @article{10.11648/j.ajim.20180606.14,
      author = {Eric Walter Pefura-Yone and Adamou Dodo Balkissou and Amadou Djenabou and Virginie Poka-Mayap and Boniface Moifo and Marie-Chantal Madjoumessi and Brenda Tanyi and Christopher Kuaban and André Pascal Kengne},
      title = {Prediction of Post-Tuberculosis Lung Function Impairment},
      journal = {American Journal of Internal Medicine},
      volume = {6},
      number = {6},
      pages = {170-181},
      doi = {10.11648/j.ajim.20180606.14},
      url = {https://doi.org/10.11648/j.ajim.20180606.14},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajim.20180606.14},
      abstract = {Objective: The aim of this study was to establish prediction equations for post-tuberculosis residual lung function in patients successfully treated for pulmonary tuberculosis (PTB). Methods: This study took place at the Yaounde Jamot Hospital of Yaounde (YJH) and used data from three cross-sectional studies conducted from January to July 2015 (7 months), December 2015 to May 2016 (6 months) and from January to May 2017 (5 months). Adults successful treated for bacteriologically proven pulmonary TB were included. Spirometric indices including forced expiratory volume in 1s (FEV1), forced vital capacity (FVC) and FEV1/FVC ratio were measured using standard methods. Predicted values were estimated using the reference spirometric equations of the Global Lung Initiative equations (GLI) 2012. General linear models were used to establish prediction equations of post-tuberculous residual lung function. Internal validation of the derived models used the bootstrap resampling procedures. A difference was considered significant if p th -75th percentiles) of men was 40 (31-50) years and that of women was 36(27.8-46) years (p=0.002). Determinants of the post-tuberculosis spirometric indices vary according to each indice and include age, weight, height, body mass index, smoking, duration of symptoms before TB treatment, persistent of respiratory symptoms after TB treatment, persistent of cavity lesions and extension of lung sequelae. The prediction equations of the spirometric indices have been established separately for men and women to account for significant differences in the absolute values of spirometric parameters in men and women. The prediction equations of residual lung function parameters were in the form: lung function parameters = Intercept + β1*P1 + β2*P2 +…βn*Pn; βn is regression coefficient for corresponding predictor (Pn), for categorical variables Pn is 1 if the modality is present and 0 if the modality is absent. For each of the spirometric variable, differences in performance measures (optimism) were mostly marginal. Conclusion: The equations developed and validated in this study could help the selection of patients in whom spirometry should be a priority after TB treatment. Like any newly developed model, results from this study are just preliminary findings. Models will require independent external validation to establish the performance both in the study setting and in other settings.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Prediction of Post-Tuberculosis Lung Function Impairment
    AU  - Eric Walter Pefura-Yone
    AU  - Adamou Dodo Balkissou
    AU  - Amadou Djenabou
    AU  - Virginie Poka-Mayap
    AU  - Boniface Moifo
    AU  - Marie-Chantal Madjoumessi
    AU  - Brenda Tanyi
    AU  - Christopher Kuaban
    AU  - André Pascal Kengne
    Y1  - 2019/01/18
    PY  - 2019
    N1  - https://doi.org/10.11648/j.ajim.20180606.14
    DO  - 10.11648/j.ajim.20180606.14
    T2  - American Journal of Internal Medicine
    JF  - American Journal of Internal Medicine
    JO  - American Journal of Internal Medicine
    SP  - 170
    EP  - 181
    PB  - Science Publishing Group
    SN  - 2330-4324
    UR  - https://doi.org/10.11648/j.ajim.20180606.14
    AB  - Objective: The aim of this study was to establish prediction equations for post-tuberculosis residual lung function in patients successfully treated for pulmonary tuberculosis (PTB). Methods: This study took place at the Yaounde Jamot Hospital of Yaounde (YJH) and used data from three cross-sectional studies conducted from January to July 2015 (7 months), December 2015 to May 2016 (6 months) and from January to May 2017 (5 months). Adults successful treated for bacteriologically proven pulmonary TB were included. Spirometric indices including forced expiratory volume in 1s (FEV1), forced vital capacity (FVC) and FEV1/FVC ratio were measured using standard methods. Predicted values were estimated using the reference spirometric equations of the Global Lung Initiative equations (GLI) 2012. General linear models were used to establish prediction equations of post-tuberculous residual lung function. Internal validation of the derived models used the bootstrap resampling procedures. A difference was considered significant if p th -75th percentiles) of men was 40 (31-50) years and that of women was 36(27.8-46) years (p=0.002). Determinants of the post-tuberculosis spirometric indices vary according to each indice and include age, weight, height, body mass index, smoking, duration of symptoms before TB treatment, persistent of respiratory symptoms after TB treatment, persistent of cavity lesions and extension of lung sequelae. The prediction equations of the spirometric indices have been established separately for men and women to account for significant differences in the absolute values of spirometric parameters in men and women. The prediction equations of residual lung function parameters were in the form: lung function parameters = Intercept + β1*P1 + β2*P2 +…βn*Pn; βn is regression coefficient for corresponding predictor (Pn), for categorical variables Pn is 1 if the modality is present and 0 if the modality is absent. For each of the spirometric variable, differences in performance measures (optimism) were mostly marginal. Conclusion: The equations developed and validated in this study could help the selection of patients in whom spirometry should be a priority after TB treatment. Like any newly developed model, results from this study are just preliminary findings. Models will require independent external validation to establish the performance both in the study setting and in other settings.
    VL  - 6
    IS  - 6
    ER  - 

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