Prior tuberculosis, radiographic lung abnormalities and prevalent diabetes in rural South Africa.


Journal

BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551

Informations de publication

Date de publication:
11 Jul 2024
Historique:
received: 03 01 2024
accepted: 02 07 2024
medline: 12 7 2024
pubmed: 12 7 2024
entrez: 11 7 2024
Statut: epublish

Résumé

Growing evidence suggests that chronic inflammation caused by tuberculosis (TB) may increase the incidence of diabetes. However, the relationship between post-TB pulmonary abnormalities and diabetes has not been well characterized. We analyzed data from a cross-sectional study in KwaZulu-Natal, South Africa, of people 15 years and older who underwent chest X-ray and diabetes screening with hemoglobin A1c testing. The analytic sample was restricted to persons with prior TB, defined by either (1) a self-reported history of TB treatment, (2) radiologist-confirmed prior TB on chest radiography, and (3) a negative sputum culture and GeneXpert. Chest X-rays of all participants were evaluated by the study radiologist to determine the presence of TB lung abnormalities. To assess the relationships between our outcome of interest, prevalent diabetes (HBA1c ≥6.5%), and our exposure of interest, chest X-ray abnormalities, we fitted logistic regression models adjusted for potential clinical and demographic confounders. In secondary analyses, we used the computer-aided detection system CAD4TB, which scores X-rays from 10 to 100 for detection of TB disease, as our exposure interest, and repeated analyses with a comparator group that had no history of TB disease. In the analytic cohort of people with prior TB (n = 3,276), approximately two-thirds (64.9%) were women, and the average age was 50.8 years (SD 17.4). The prevalence of diabetes was 10.9%, and 53.0% of people were living with HIV. In univariate analyses, there was no association between diabetes prevalence and radiologist chest X-ray abnormalities (OR 1.23, 95%CI 0.95-1.58). In multivariate analyses, the presence of pulmonary abnormalities was associated with an 29% reduction in the odds of prevalent diabetes (aOR 0.71, 95%CI 0.53-0.97, p = 0.030). A similar inverse relationship was observed for diabetes with each 10-unit increase in the CAD4TB chest X-ray scores among people with prior TB (aOR 0.92, 95%CI 0.87-0.97; p = 0.002), but this relationship was less pronounced in the no TB comparator group (aOR 0.96, 95%CI 0.94-0.99). Among people with prior TB, pulmonary abnormalities on digital chest X-ray are inversely associated with prevalent diabetes. The severity of radiographic post-TB lung disease does not appear to be a determinant of diabetes in this South African population.

Sections du résumé

BACKGROUND BACKGROUND
Growing evidence suggests that chronic inflammation caused by tuberculosis (TB) may increase the incidence of diabetes. However, the relationship between post-TB pulmonary abnormalities and diabetes has not been well characterized.
METHODS METHODS
We analyzed data from a cross-sectional study in KwaZulu-Natal, South Africa, of people 15 years and older who underwent chest X-ray and diabetes screening with hemoglobin A1c testing. The analytic sample was restricted to persons with prior TB, defined by either (1) a self-reported history of TB treatment, (2) radiologist-confirmed prior TB on chest radiography, and (3) a negative sputum culture and GeneXpert. Chest X-rays of all participants were evaluated by the study radiologist to determine the presence of TB lung abnormalities. To assess the relationships between our outcome of interest, prevalent diabetes (HBA1c ≥6.5%), and our exposure of interest, chest X-ray abnormalities, we fitted logistic regression models adjusted for potential clinical and demographic confounders. In secondary analyses, we used the computer-aided detection system CAD4TB, which scores X-rays from 10 to 100 for detection of TB disease, as our exposure interest, and repeated analyses with a comparator group that had no history of TB disease.
RESULTS RESULTS
In the analytic cohort of people with prior TB (n = 3,276), approximately two-thirds (64.9%) were women, and the average age was 50.8 years (SD 17.4). The prevalence of diabetes was 10.9%, and 53.0% of people were living with HIV. In univariate analyses, there was no association between diabetes prevalence and radiologist chest X-ray abnormalities (OR 1.23, 95%CI 0.95-1.58). In multivariate analyses, the presence of pulmonary abnormalities was associated with an 29% reduction in the odds of prevalent diabetes (aOR 0.71, 95%CI 0.53-0.97, p = 0.030). A similar inverse relationship was observed for diabetes with each 10-unit increase in the CAD4TB chest X-ray scores among people with prior TB (aOR 0.92, 95%CI 0.87-0.97; p = 0.002), but this relationship was less pronounced in the no TB comparator group (aOR 0.96, 95%CI 0.94-0.99).
CONCLUSIONS CONCLUSIONS
Among people with prior TB, pulmonary abnormalities on digital chest X-ray are inversely associated with prevalent diabetes. The severity of radiographic post-TB lung disease does not appear to be a determinant of diabetes in this South African population.

Identifiants

pubmed: 38992607
doi: 10.1186/s12879-024-09583-8
pii: 10.1186/s12879-024-09583-8
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

690

Subventions

Organisme : FIC NIH HHS
ID : D43 TW010543
Pays : United States
Organisme : NIAID NIH HHS
ID : T32 AI007433
Pays : United States
Organisme : NIAID NIH HHS
ID : K24 AI141036
Pays : United States
Organisme : Wellcome Trust
ID : 201433/Z/16/A
Pays : United Kingdom
Organisme : NHLBI NIH HHS
ID : K24 HL166024
Pays : United States

Informations de copyright

© 2024. The Author(s).

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Auteurs

Alison C Castle (AC)

Africa Health Research Institute, KwaZulu-Natal, Durban, South Africa. accastle@mgb.org.
Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, United States of America. accastle@mgb.org.
Harvard Medical School, Boston, MA, United States of America. accastle@mgb.org.

Yumna Moosa (Y)

Africa Health Research Institute, KwaZulu-Natal, Durban, South Africa.
University of KwaZulu-Natal, KwaZulu-Natal, Durban, South Africa.

Helgard Claassen (H)

Africa Health Research Institute, KwaZulu-Natal, Durban, South Africa.

Sheela Shenoi (S)

Division of Infectious Diseases, Yale School of Medicine, New Haven, Connecticut, USA.

Itai Magodoro (I)

Department of Medicine, University of Cape Town, Cape Town, South Africa.

Jennifer Manne-Goehler (J)

Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, United States of America.
Harvard Medical School, Boston, MA, United States of America.

Willem Hanekom (W)

Africa Health Research Institute, KwaZulu-Natal, Durban, South Africa.
University of KwaZulu-Natal, KwaZulu-Natal, Durban, South Africa.

Ingrid V Bassett (IV)

Africa Health Research Institute, KwaZulu-Natal, Durban, South Africa.
Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, United States of America.
Harvard Medical School, Boston, MA, United States of America.

Emily B Wong (EB)

Africa Health Research Institute, KwaZulu-Natal, Durban, South Africa.
University of KwaZulu-Natal, KwaZulu-Natal, Durban, South Africa.
Division of Infectious Diseases, University of Alabama Birmingham, Birmingham, AL, United States of America.

Mark J Siedner (MJ)

Africa Health Research Institute, KwaZulu-Natal, Durban, South Africa.
Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, United States of America.
Harvard Medical School, Boston, MA, United States of America.
University of KwaZulu-Natal, KwaZulu-Natal, Durban, South Africa.

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