Prediction of Post-Tuberculosis Lung Function Impairment

Eric Walter Pefura-Yone; Adamou Dodo Balkissou; Amadou Djenabou; Virginie Poka-Mayap; Boniface Moifo; Marie-Chantal Madjoumessi; Brenda Tanyi; Christopher Kuaban; André Pascal Kengne

doi:doi:10.11648/j.ajim.20180606.14

Prediction of Post-Tuberculosis Lung Function Impairment

Eric Walter Pefura-Yone, Adamou Dodo Balkissou, Amadou Djenabou, Virginie Poka-Mayap, Boniface Moifo, Marie-Chantal Madjoumessi, Brenda Tanyi, Christopher Kuaban, André Pascal Kengne

Published in American Journal of Internal Medicine (Volume 6, Issue 6)

Received: 9 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 (25^th -75^th 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*P_n; β_n is regression coefficient for corresponding predictor (P_n), for categorical variables P_n 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.

Published in	American Journal of Internal Medicine (Volume 6, Issue 6)
DOI	10.11648/j.ajim.20180606.14
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), 2019. Published by Science Publishing Group

Keywords

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

References

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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://article.sciencepublishinggroup.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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Author Information

Eric Walter Pefura-Yone

Department of Internal medicine, Faculty of Medicine and Biomedical Sciences, The University of Yaounde 1, Yaounde, Cameroon
Adamou Dodo Balkissou

Faculty of Medicine and Biomedical Sciences of Garoua, University of Ngaoundéré, Garoua, Cameroon
Amadou Djenabou

Approved Treatment Center for HIV, Yaounde Jamot Hospital, Yaounde, Cameroon
Virginie Poka-Mayap

Pneumology A Service, Yaounde Jamot Hospital, Yaounde, Cameroon
Boniface Moifo

Department of Radiology and Medical Imaging, Faculty of Medicine and Biomedical Sciences, The University of Yaounde 1, Yaounde, Cameroon
Marie-Chantal Madjoumessi

Institut Supérieur de Technologie Médicale, Yaounde, Cameroon
Brenda Tanyi

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

Faculty of Health Sciences, University of Bamenda, Bambili, Cameroon
André Pascal Kengne

Medical Research Council, Cape Town, South Africa

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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://article.sciencepublishinggroup.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}
}

Copy | Download

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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