Simulation of risk of tuberculosis infection in healthcare workers in hospitals of an intermediate incidence country

ABSTRACT: We simulated the frequency of tuberculosis infection in healthcare workers in order to classify the risk of TB transmission for nine hospitals in Medellín, Colombia. We used a risk assessment approach to estimate the average number of infections in three risk groups of a cohort of 1082 wor...

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Autores:
Ochoa Acosta, Jesús Ernesto
Hincapié Palacio, Doracelly
Sepúlveda Díaz, Hernando Darío
Arbeláez Montoya, María Patricia
Ruiz, D
Molina Giraldo, Adriana María
Echeverri, Silvia
León Álvarez, Alba Luz
Escombe, A. R.
Tipo de recurso:
Article of investigation
Fecha de publicación:
2015
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/38381
Acceso en línea:
https://hdl.handle.net/10495/38381
Palabra clave:
Tuberculosis Latente
Latent Tuberculosis
Exposición Profesional
Occupational Exposure
Medición de Riesgo
Risk Assessment
Colombia - epidemiología
Colombia - epidemiology
Transmisión de Enfermedad Infecciosa de Paciente a Profesional
Infectious Disease Transmission, Patient-to-Professional
Ensayos de Liberación de Interferón gamma
Interferon-gamma Release Tests
Tuberculosis Pulmonar
Tuberculosis, Pulmonary
https://id.nlm.nih.gov/mesh/D055985
https://id.nlm.nih.gov/mesh/D016273
https://id.nlm.nih.gov/mesh/D018570
https://id.nlm.nih.gov/mesh/D003105
https://id.nlm.nih.gov/mesh/D017758
https://id.nlm.nih.gov/mesh/D059425
https://id.nlm.nih.gov/mesh/D014397
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-nd/4.0/
Description
Summary:ABSTRACT: We simulated the frequency of tuberculosis infection in healthcare workers in order to classify the risk of TB transmission for nine hospitals in Medellín, Colombia. We used a risk assessment approach to estimate the average number of infections in three risk groups of a cohort of 1082 workers exposed to potentially infectious patients over 10- and 20-day periods. The risk level of the hospitals was classified according to TB prevalence: two of the hospitals were ranked as being of very high priority, six as high priority and one as low priority. Consistent results were obtained when the simulation was validated in two hospitals by studying 408 healthcare workers using interferon gamma release assays and tuberculin skin testing. The latent infection prevalence using laboratory tests was 41% [95% confidence interval (CI) 34·3–47·7] and 44% (95% CI 36·4–51·0) in those hospitals, and in the simulation, it was 40·7% (95% CI 32·3–49·0) and 36% (95% CI 27·9–44·0), respectively. Simulation of risk may be useful as a tool to classify local and regional hospitals according to their risk of nosocomial TB transmission, and to facilitate the design of hospital infection control plans.