Cargando…

Tuberculosis Chemotherapy Outcome in the Littoral Region of Cameroon: A Meta-analysis of Treatment Success Rate between 2014 and 2016

BACKGROUND: Tuberculosis (TB) is a public health concern, especially in resource-constrained countries like Cameroon. TB drug resistance is a major obstacle to control and prevent. DESIGN: Data from 2014 to 2016 on the outcome of anti-TB treatment in the Littoral Region were reviewed manually and an...

Descripción completa

Detalles Bibliográficos
Autores principales: Kouemo Motse, Dorgelesse F., Nsagha, Dickson Shey, Adiogo, Dieudonné, Kojom Foko, Loick P., Teyim, Pride M., Chichom-Mefire, Alain, Nguedia Assob, Jules C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7366214/
https://www.ncbi.nlm.nih.gov/pubmed/32724812
http://dx.doi.org/10.1155/2020/8298291
_version_ 1783560188613099520
author Kouemo Motse, Dorgelesse F.
Nsagha, Dickson Shey
Adiogo, Dieudonné
Kojom Foko, Loick P.
Teyim, Pride M.
Chichom-Mefire, Alain
Nguedia Assob, Jules C.
author_facet Kouemo Motse, Dorgelesse F.
Nsagha, Dickson Shey
Adiogo, Dieudonné
Kojom Foko, Loick P.
Teyim, Pride M.
Chichom-Mefire, Alain
Nguedia Assob, Jules C.
author_sort Kouemo Motse, Dorgelesse F.
collection PubMed
description BACKGROUND: Tuberculosis (TB) is a public health concern, especially in resource-constrained countries like Cameroon. TB drug resistance is a major obstacle to control and prevent. DESIGN: Data from 2014 to 2016 on the outcome of anti-TB treatment in the Littoral Region were reviewed manually and analysed using the meta-analysis concept. The treatment success rates (TSR) were the primary outcome used for this study. The heterogeneity statistics (I(2)) was computed to orientate the choice of the best statistical model (binary fixed effect or random) to compute pooled value of TSR. RESULTS: Using an intention-to-treat analysis, the pooled proportions of HIV-uninfected TB patients successfully cured from TB were low and slightly decreased by 1% between 2014 and 2016. Regarding HIV-infected TB patients, pooled values of TSR were lower than those of their HIV-negative counterparts with values ranging from 71% (95% CI: 63%-83%; I(2) = 71.16%) in 2014 to 68% (95% CI: 58%-79%; I(2) = 70.97%) in 2016. In addition, no heterogeneity was found in three years (I(2) = 0.0%; P value = 1). These cure rates were strongly and negatively correlated with the rates of patients lost to follow-up regardless of the year. In HIV-infected patients, the pooled values of ITT analysis-based treatment success rates were 73% (χ(2) = 13.92, P value = 0.0002), 71% (χ(2) = 7.26, P value = 0.007), and 68% (χ(2) = 8.02, P value = 0.004), respectively. The coverage rates with cotrimoxazole (CTX) gradually increased over year ranging from 78.90% in 2014 to 94.17% in 2016, similar to the coverage rate for ARV therapy that was 60.06% in 2014 against 90% in 2016. A positive and statistically significant correlation was found between the success of the anti-TB therapy in HIV-infected patients and coverage rates with CTX and ARV. CONCLUSION: An improvement in the reduction of percentage of lost to follow-up and coverage with CTX and ARV therapy could greatly increase chances to efficiently control TB in Cameroon.
format Online
Article
Text
id pubmed-7366214
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-73662142020-07-27 Tuberculosis Chemotherapy Outcome in the Littoral Region of Cameroon: A Meta-analysis of Treatment Success Rate between 2014 and 2016 Kouemo Motse, Dorgelesse F. Nsagha, Dickson Shey Adiogo, Dieudonné Kojom Foko, Loick P. Teyim, Pride M. Chichom-Mefire, Alain Nguedia Assob, Jules C. Biomed Res Int Research Article BACKGROUND: Tuberculosis (TB) is a public health concern, especially in resource-constrained countries like Cameroon. TB drug resistance is a major obstacle to control and prevent. DESIGN: Data from 2014 to 2016 on the outcome of anti-TB treatment in the Littoral Region were reviewed manually and analysed using the meta-analysis concept. The treatment success rates (TSR) were the primary outcome used for this study. The heterogeneity statistics (I(2)) was computed to orientate the choice of the best statistical model (binary fixed effect or random) to compute pooled value of TSR. RESULTS: Using an intention-to-treat analysis, the pooled proportions of HIV-uninfected TB patients successfully cured from TB were low and slightly decreased by 1% between 2014 and 2016. Regarding HIV-infected TB patients, pooled values of TSR were lower than those of their HIV-negative counterparts with values ranging from 71% (95% CI: 63%-83%; I(2) = 71.16%) in 2014 to 68% (95% CI: 58%-79%; I(2) = 70.97%) in 2016. In addition, no heterogeneity was found in three years (I(2) = 0.0%; P value = 1). These cure rates were strongly and negatively correlated with the rates of patients lost to follow-up regardless of the year. In HIV-infected patients, the pooled values of ITT analysis-based treatment success rates were 73% (χ(2) = 13.92, P value = 0.0002), 71% (χ(2) = 7.26, P value = 0.007), and 68% (χ(2) = 8.02, P value = 0.004), respectively. The coverage rates with cotrimoxazole (CTX) gradually increased over year ranging from 78.90% in 2014 to 94.17% in 2016, similar to the coverage rate for ARV therapy that was 60.06% in 2014 against 90% in 2016. A positive and statistically significant correlation was found between the success of the anti-TB therapy in HIV-infected patients and coverage rates with CTX and ARV. CONCLUSION: An improvement in the reduction of percentage of lost to follow-up and coverage with CTX and ARV therapy could greatly increase chances to efficiently control TB in Cameroon. Hindawi 2020-07-08 /pmc/articles/PMC7366214/ /pubmed/32724812 http://dx.doi.org/10.1155/2020/8298291 Text en Copyright © 2020 Dorgelesse F. Kouemo Motse et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kouemo Motse, Dorgelesse F.
Nsagha, Dickson Shey
Adiogo, Dieudonné
Kojom Foko, Loick P.
Teyim, Pride M.
Chichom-Mefire, Alain
Nguedia Assob, Jules C.
Tuberculosis Chemotherapy Outcome in the Littoral Region of Cameroon: A Meta-analysis of Treatment Success Rate between 2014 and 2016
title Tuberculosis Chemotherapy Outcome in the Littoral Region of Cameroon: A Meta-analysis of Treatment Success Rate between 2014 and 2016
title_full Tuberculosis Chemotherapy Outcome in the Littoral Region of Cameroon: A Meta-analysis of Treatment Success Rate between 2014 and 2016
title_fullStr Tuberculosis Chemotherapy Outcome in the Littoral Region of Cameroon: A Meta-analysis of Treatment Success Rate between 2014 and 2016
title_full_unstemmed Tuberculosis Chemotherapy Outcome in the Littoral Region of Cameroon: A Meta-analysis of Treatment Success Rate between 2014 and 2016
title_short Tuberculosis Chemotherapy Outcome in the Littoral Region of Cameroon: A Meta-analysis of Treatment Success Rate between 2014 and 2016
title_sort tuberculosis chemotherapy outcome in the littoral region of cameroon: a meta-analysis of treatment success rate between 2014 and 2016
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7366214/
https://www.ncbi.nlm.nih.gov/pubmed/32724812
http://dx.doi.org/10.1155/2020/8298291
work_keys_str_mv AT kouemomotsedorgelessef tuberculosischemotherapyoutcomeinthelittoralregionofcameroonametaanalysisoftreatmentsuccessratebetween2014and2016
AT nsaghadicksonshey tuberculosischemotherapyoutcomeinthelittoralregionofcameroonametaanalysisoftreatmentsuccessratebetween2014and2016
AT adiogodieudonne tuberculosischemotherapyoutcomeinthelittoralregionofcameroonametaanalysisoftreatmentsuccessratebetween2014and2016
AT kojomfokoloickp tuberculosischemotherapyoutcomeinthelittoralregionofcameroonametaanalysisoftreatmentsuccessratebetween2014and2016
AT teyimpridem tuberculosischemotherapyoutcomeinthelittoralregionofcameroonametaanalysisoftreatmentsuccessratebetween2014and2016
AT chichommefirealain tuberculosischemotherapyoutcomeinthelittoralregionofcameroonametaanalysisoftreatmentsuccessratebetween2014and2016
AT nguediaassobjulesc tuberculosischemotherapyoutcomeinthelittoralregionofcameroonametaanalysisoftreatmentsuccessratebetween2014and2016