Skip to main content

Open Access Using tuberculosis patient characteristics to predict future cases with matching genotype results

Download Article:
(PDF 124.2275390625 kb)

United States.

It is unknown whether tuberculosis (TB) case or patient characteristics can predict the likelihood of future related TB cases.

To estimate the likelihood for future related cases, i.e., cases with matching TB genotypes within the same county diagnosed within the 2 years following the year of reporting of each included case.

We considered all TB cases with genotyping results reported in the United States during 2004-2010. Predictive scores were calculated based on patient characteristics by dividing the number of patients who were not the last case in a county-level TB genotype cluster by the total number of patients.

Overall, there was a 30.8% chance that a future related case would be detected during the 2 years following the report year of any given case. Future related cases were detected in 34.7% of instances following the diagnosis of smear-positive cases, 51.9% of instances following the diagnosis of a homeless patient and 45.2% of instances following the diagnosis of a patient who reported substance abuse. Predictive scores ranged by race (White 13.9%, Native Hawaiian 43.8%) and age group (65 years 13.1%, 0-4 years 43%), and were higher for US-born patients.

Behavioral and sociodemographic factors can help predict the likelihood of future related cases and can be used to prioritize contact investigations.
No References
No Citations
No Supplementary Data
No Data/Media
No Metrics

Keywords: genotype; transmission; tuberculosis

Document Type: Research Article

Affiliations: Division of Tuberculosis Elimination, US Centers for Disease Control and Prevention, National Centers for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention, Atlanta, Georgia, USA

Publication date: 2014-03-21

More about this publication?
  • Public Health Action (PHA), The Union's quarterly open access on-line journal, provides a platform for its mission 'Health solutions for the poor'. PHA addresses the need for show-casing operational research that addresses issues in health systems and services. It publishes high-quality scientific research that provides new knowledge to improve access, equity, quality and efficiency of health systems and services.

  • Editorial Board
  • Information for Authors
  • International Journal of Tuberculosis and Lung Disease
  • Public Health Action
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more