Two Clinical Prediction Tools to Improve Tuberculosis Contact Investigation.

ABSTRACT:

Background

Efficient contact investigation strategies are needed for the early diagnosis of tuberculosis (TB) disease and treatment of latent TB infections.

Methods

Between September 2009 and August 2012, we conducted a prospective cohort study in Lima, Peru, in which we enrolled and followed 14 044 household contacts of adults with pulmonary TB. We used information from a subset of this cohort to derive 2 clinical prediction tools that identify contacts of TB patients at elevated risk of progressing to active disease by training multivariable models that predict (1) coprevalent TB among all household contacts and (2) 1-year incident TB among adult contacts. We validated the models in a geographically distinct subcohort and compared the relative utilities of clinical decisio

SUBMITTER: Li R 

PROVIDER: S-EPMC7643741 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature