Diabetes mellitus and latent tuberculosis infection: Baseline analysis of a large UK cohort

Charlotte Jackson*, Joanna Southern, Ajit Lalvani, Francis Drobniewski, Chris J. Griffiths, Marc Lipman, Graham H. Bothamley, Jonathan J. Deeks, Ambreen Imran, Onn Min Kon, Sithembinkosi Mpofu, Vladyslav Nikolayevskyy, Melanie Rees-Roberts, Alice Sitch, Saranya Sridhar, Chuen Yan Tsou, Hilary Whitworth, Ibrahim Abubakar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

We conducted a cross-sectional analysis of baseline data from a UK cohort study which enrolled participants at risk of latent tuberculosis infection (LTBI, defined as a positive result for either of the two interferon gamma release assays). Binomial regression with a log link was used to estimate crude and adjusted prevalence ratios (PRs) and 95% CIs for the relationship between diabetes mellitus (DM) and LTBI. Adjusted for age, sex, ethnicity, body mass index and the presence of other immunocompromising conditions, DM was associated with a 15% higher prevalence of LTBI (adjusted PR=1.15, 95% CI 1.02 to 1.30, p=0.025). Trial registration number PREDICT is registered on clinicaltrials.gov (NCT01162265)

Original languageEnglish
Pages (from-to)91-94
Number of pages4
JournalThorax
Volume74
Issue number1
DOIs
Publication statusPublished - 1 Jan 2019

Bibliographical note

Publisher Copyright:
© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2019. All rights reserved.

Keywords

  • clinical epidemiology
  • tuberculosis

Fingerprint

Dive into the research topics of 'Diabetes mellitus and latent tuberculosis infection: Baseline analysis of a large UK cohort'. Together they form a unique fingerprint.

Cite this