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

Charlotte Jackson ORCID logo; Jo Southern; Ajit Lalvani; Francis Drobniewski; Chris J Griffiths; Marc Lipman; Graham H Bothamley; Jonathan J Deeks; Ambreen Imran; Onn Min Kon; +8 more... Sithembinkosi Mpofu; Vladyslav Nikolayevskyy; Melanie Rees-Roberts; Alice Sitch; Saranya Sridhar; Chuen-Yan Tsou; Hilary Whitworth ORCID logo; Ibrahim Abubakar; (2018) Diabetes mellitus and latent tuberculosis infection: baseline analysis of a large UK cohort. Thorax, 74 (1). pp. 91-94. ISSN 0040-6376 DOI: 10.1136/thoraxjnl-2017-211124
Copy

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).


picture_as_pdf
Jackson-etal-Diabetes-mellitus-and-latent-tuberculosis-infection.pdf
subject
Accepted Version
Available under Creative Commons: NC-ND 3.0

View Download

Atom BibTeX OpenURL ContextObject in Span Multiline CSV OpenURL ContextObject Dublin Core Dublin Core MPEG-21 DIDL EndNote HTML Citation JSON MARC (ASCII) MARC (ISO 2709) METS MODS RDF+N3 RDF+N-Triples RDF+XML RIOXX2 XML Reference Manager Refer Simple Metadata ASCII Citation EP3 XML
Export

Downloads