Forecasting the impact of diabetes mellitus on tuberculosis disease incidence and mortality in India

<h3>Background</h3><p dir="ltr"> In context of the rapidly expanding diabetes mellitus (DM) epidemic in India and slowly declining tuberculosis (TB) incidence, we aimed to estimate the past, current, and future impact of DM on TB epidemiology. </p><h3>Methods...

Full description

Saved in:
Bibliographic Details
Main Author: Susanne F Awad (18618622) (author)
Other Authors: Peijue Huangfu (11619726) (author), Houssein H Ayoub (17704359) (author), Fiona Pearson (4607545) (author), Soha R Dargham (9991416) (author), Julia A Critchley (16272368) (author), Laith J Abu-Raddad (11868161) (author)
Published: 2019
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864513521124900864
author Susanne F Awad (18618622)
author2 Peijue Huangfu (11619726)
Houssein H Ayoub (17704359)
Fiona Pearson (4607545)
Soha R Dargham (9991416)
Julia A Critchley (16272368)
Laith J Abu-Raddad (11868161)
author2_role author
author
author
author
author
author
author_facet Susanne F Awad (18618622)
Peijue Huangfu (11619726)
Houssein H Ayoub (17704359)
Fiona Pearson (4607545)
Soha R Dargham (9991416)
Julia A Critchley (16272368)
Laith J Abu-Raddad (11868161)
author_role author
dc.creator.none.fl_str_mv Susanne F Awad (18618622)
Peijue Huangfu (11619726)
Houssein H Ayoub (17704359)
Fiona Pearson (4607545)
Soha R Dargham (9991416)
Julia A Critchley (16272368)
Laith J Abu-Raddad (11868161)
dc.date.none.fl_str_mv 2019-12-01T00:00:00Z
dc.identifier.none.fl_str_mv 10.7189/jogh.09.020415
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Forecasting_the_impact_of_diabetes_mellitus_on_tuberculosis_disease_incidence_and_mortality_in_India/25907545
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biomedical and clinical sciences
Clinical sciences
Health sciences
Epidemiology
Public health
Human society
Demography
Diabetes mellitus (DM)
Tuberculosis (TB)
Epidemiology
Mathematical model
Impact assessment
Population attributable fraction
Sensitivity analysis
dc.title.none.fl_str_mv Forecasting the impact of diabetes mellitus on tuberculosis disease incidence and mortality in India
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <h3>Background</h3><p dir="ltr"> In context of the rapidly expanding diabetes mellitus (DM) epidemic in India and slowly declining tuberculosis (TB) incidence, we aimed to estimate the past, current, and future impact of DM on TB epidemiology. </p><h3>Methods </h3><p dir="ltr">An age-structured TB-DM dynamical mathematical model was developed and analyzed to assess the DM-on-TB impact. The model was calibrated using a literature review and meta-analyses. The DM-on-TB impact was analyzed using population attributable fraction metrics. Sensitivity analyses were conducted by accommodating less conservative effect sizes for the TB-DM interactions, by factoring the age-dependence of the TB-DM association, and by assuming different TB disease incidence rate trajectories. </p><h3>Results</h3><p dir="ltr"> In 1990, 11.4% (95% uncertainty interval (UI)=6.3%-14.4%) of new TB disease incident cases were attributed to DM. This proportion increased to 21.9% (95% UI=12.1%-26.4%) in 2017, and 33.3% (95% UI=19.0%-44.1%) in 2050. Similarly, in 1990, 14.5% (95% UI=9.5%- 18.2%) of TB-related deaths were attributed to DM. This proportion increased to 28.9% (95% UI=18.9%-34.1%) in 2017, and 42.8% (95% UI=28.7%-53.1%) in 2050. The largest impacts originated from the effects of DM on TB disease progression and infectiousness. Sensitivity analyses suggested that the impact could be even greater. </p><h3>Conclusions </h3><p dir="ltr">The burgeoning DM epidemic is predicted to become a leading driver of TB disease incidence and mortality over the coming decades. By 2050, at least one-third of TB incidence and almost half of TB mortality in India will be attributed to DM. This is likely generalizable to other Asian Pacific countries with similar TB-DM burdens. Targeting the impact of the increasing DM burden on TB control is critical to achieving the goal of TB elimination by 2050.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Global Health<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.7189/jogh.09.020415" target="_blank">https://dx.doi.org/10.7189/jogh.09.020415</a></p>
eu_rights_str_mv openAccess
id Manara2_5d83f5b684f732d7a6d1b31275919d61
identifier_str_mv 10.7189/jogh.09.020415
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/25907545
publishDate 2019
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Forecasting the impact of diabetes mellitus on tuberculosis disease incidence and mortality in IndiaSusanne F Awad (18618622)Peijue Huangfu (11619726)Houssein H Ayoub (17704359)Fiona Pearson (4607545)Soha R Dargham (9991416)Julia A Critchley (16272368)Laith J Abu-Raddad (11868161)Biomedical and clinical sciencesClinical sciencesHealth sciencesEpidemiologyPublic healthHuman societyDemographyDiabetes mellitus (DM)Tuberculosis (TB)EpidemiologyMathematical modelImpact assessmentPopulation attributable fractionSensitivity analysis<h3>Background</h3><p dir="ltr"> In context of the rapidly expanding diabetes mellitus (DM) epidemic in India and slowly declining tuberculosis (TB) incidence, we aimed to estimate the past, current, and future impact of DM on TB epidemiology. </p><h3>Methods </h3><p dir="ltr">An age-structured TB-DM dynamical mathematical model was developed and analyzed to assess the DM-on-TB impact. The model was calibrated using a literature review and meta-analyses. The DM-on-TB impact was analyzed using population attributable fraction metrics. Sensitivity analyses were conducted by accommodating less conservative effect sizes for the TB-DM interactions, by factoring the age-dependence of the TB-DM association, and by assuming different TB disease incidence rate trajectories. </p><h3>Results</h3><p dir="ltr"> In 1990, 11.4% (95% uncertainty interval (UI)=6.3%-14.4%) of new TB disease incident cases were attributed to DM. This proportion increased to 21.9% (95% UI=12.1%-26.4%) in 2017, and 33.3% (95% UI=19.0%-44.1%) in 2050. Similarly, in 1990, 14.5% (95% UI=9.5%- 18.2%) of TB-related deaths were attributed to DM. This proportion increased to 28.9% (95% UI=18.9%-34.1%) in 2017, and 42.8% (95% UI=28.7%-53.1%) in 2050. The largest impacts originated from the effects of DM on TB disease progression and infectiousness. Sensitivity analyses suggested that the impact could be even greater. </p><h3>Conclusions </h3><p dir="ltr">The burgeoning DM epidemic is predicted to become a leading driver of TB disease incidence and mortality over the coming decades. By 2050, at least one-third of TB incidence and almost half of TB mortality in India will be attributed to DM. This is likely generalizable to other Asian Pacific countries with similar TB-DM burdens. Targeting the impact of the increasing DM burden on TB control is critical to achieving the goal of TB elimination by 2050.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Global Health<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.7189/jogh.09.020415" target="_blank">https://dx.doi.org/10.7189/jogh.09.020415</a></p>2019-12-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.7189/jogh.09.020415https://figshare.com/articles/journal_contribution/Forecasting_the_impact_of_diabetes_mellitus_on_tuberculosis_disease_incidence_and_mortality_in_India/25907545CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/259075452019-12-01T00:00:00Z
spellingShingle Forecasting the impact of diabetes mellitus on tuberculosis disease incidence and mortality in India
Susanne F Awad (18618622)
Biomedical and clinical sciences
Clinical sciences
Health sciences
Epidemiology
Public health
Human society
Demography
Diabetes mellitus (DM)
Tuberculosis (TB)
Epidemiology
Mathematical model
Impact assessment
Population attributable fraction
Sensitivity analysis
status_str publishedVersion
title Forecasting the impact of diabetes mellitus on tuberculosis disease incidence and mortality in India
title_full Forecasting the impact of diabetes mellitus on tuberculosis disease incidence and mortality in India
title_fullStr Forecasting the impact of diabetes mellitus on tuberculosis disease incidence and mortality in India
title_full_unstemmed Forecasting the impact of diabetes mellitus on tuberculosis disease incidence and mortality in India
title_short Forecasting the impact of diabetes mellitus on tuberculosis disease incidence and mortality in India
title_sort Forecasting the impact of diabetes mellitus on tuberculosis disease incidence and mortality in India
topic Biomedical and clinical sciences
Clinical sciences
Health sciences
Epidemiology
Public health
Human society
Demography
Diabetes mellitus (DM)
Tuberculosis (TB)
Epidemiology
Mathematical model
Impact assessment
Population attributable fraction
Sensitivity analysis