Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

medicine

Cough Aerosols of mycobacterium tuberculosis in the prediction of incident tuberculosis disease in household contacts

Clinical Infectious Diseases, Volume 63, No. 1, Year 2016

Background. Tuberculosis disease develops in only 5%-10% of humans infected with Mycobacterium tuberculosis . The mechanisms underlying this variability remain poorly understood.We recently demonstrated that colony-forming units of M. tuberculosis in cough-generated aerosols are a better predictor of infection than the standard sputum acid-fast bacilli smear.We hypothesized that cough aerosol cultures may also predict progression to tuberculosis disease in contacts. Methods. We conducted a retrospective cohort study of 85 patients with smear-positive tuberculosis and their 369 household contacts in Kampala, Uganda. Index case patients underwent a standard evaluation, and we cultured M. tuberculosis from cough aerosols. Contacts underwent a standard evaluation at enrollment, and they were later traced to determine their tuberculosis status. Results. During a median follow-up of 3.9 years, 8 (2%) of the contacts developed tuberculosis disease. In unadjusted and adjusted analyses, incident tuberculosis disease in contacts was associated with sputum Mycobacterial Growth Indicator Tube culture (odds ratio, 8.2; 95% confidence interval, 1.1-59.2; P = .04), exposure to a high- Aerosol tuberculosis case patient (6.0, 1.4-25.2; P = .01), and marginally, human immunodeficiency virus in the contact (6.11; 0.89-41.7; P = .07). We present data demonstrating that sputum and aerosol specimens measure 2 related but different phenomena. Conclusions. We found an increased risk of tuberculosis progression among contacts of high- Aerosol case patients. The hypothesis that a larger infectious inoculum, represented by high aerosol production, determines the risk of disease progression deserves evaluation in future prospective studies.
Statistics
Citations: 60
Authors: 10
Affiliations: 6
Identifiers
Research Areas
Health System And Policy
Study Design
Cohort Study
Case-Control Study
Study Approach
Quantitative
Study Locations
Uganda