RESUMEN
The predictive value of a combination of clinical and radiological features with interferon-γ release assay (IGRA) for diagnosis of active tuberculosis (TB) disease among TB-exposed children is unknown.150 symptomatic HIV-negative children (aged 3â months to 14â years), prospectively recruited through active contact tracing, were included. Backward stepwise logistic regression and bootstrapping techniques were used for the development and internal validation of a clinical prediction model for active TB disease. Model discrimination and incremental value of a positive IGRA test were assessed by area under the receiver operating characteristic curve (AUC).35 (23%) children were diagnosed with active TB disease and started on treatment and 115 (77%) had other respiratory tract infections. A final parsimonious clinical model, comprising age <5â years (adjusted (a)OR 4.8, 95% CI 2.0-11.5) and lymphadenopathy on clinical examination (aOR 4.9, 95% CI 1.8-13.0) discriminated active TB disease from other disease with an AUC of 0.70 (95% CI 0.61-0.80). A positive IGRA result did not improve the discriminatory ability of the clinical model (c-statistic 0.72 versus 0.70; p=0.644).A clinical algorithm, including age <5â years and lymphadenopathy classified 70% of active TB disease among symptomatic TB-exposed children. IGRA does not add any discriminatory value to this prediction model.
Asunto(s)
Técnicas de Apoyo para la Decisión , Ensayos de Liberación de Interferón gamma , Linfadenopatía/diagnóstico , Tuberculosis Pulmonar/diagnóstico , Adolescente , Factores de Edad , Algoritmos , Área Bajo la Curva , Niño , Preescolar , Trazado de Contacto , Tos/diagnóstico , Tos/etiología , Femenino , Fiebre/diagnóstico , Fiebre/etiología , Humanos , Lactante , Modelos Logísticos , Linfadenopatía/etiología , Masculino , Estudios Prospectivos , Curva ROC , Medición de Riesgo , Tuberculosis/complicaciones , Tuberculosis/diagnóstico , Tuberculosis Pulmonar/complicaciones , Pérdida de PesoAsunto(s)
Pruebas Diagnósticas de Rutina/instrumentación , Pruebas Diagnósticas de Rutina/métodos , Esputo/metabolismo , Tuberculosis/diagnóstico , Tuberculosis/metabolismo , Biomarcadores/metabolismo , Quimiocina CCL2/metabolismo , Quimiocina CXCL10/metabolismo , Control de Enfermedades Transmisibles , Citocinas/metabolismo , Factor de Crecimiento Epidérmico/metabolismo , Gambia , Humanos , Reproducibilidad de los Resultados , Sensibilidad y Especificidad , Tuberculina/química , Prueba de Tuberculina , Factor de Necrosis Tumoral alfa/metabolismo , Factor A de Crecimiento Endotelial Vascular/metabolismoRESUMEN
Epidemiological differences exist between Mycobacterium africanum (Maf)- and Mycobacterium tuberculosis (Mtb)-infected patients, but to date, contributing host factors have not been characterised. We analysed clinical outcomes, as well as soluble markers and gene expression profiles in unstimulated, and ESAT6/CFP-10-, whole-Maf- and Mtb-stimulated blood samples of 26 Maf- and 49 Mtb-HIV-negative tuberculosis patients before, and after 2 and 6 months of anti-tuberculosis therapy. Before treatment, both groups had similar clinical parameters, but differed in few cytokines concentration and gene expression profiles. Following treatment the body mass index, skinfold thickness and chest X-ray scores showed greater improvement in the Mtb- compared to Maf-infected patients, after adjusting for age, sex and ethnicity (p = 0.02; 0.04 and 0.007, respectively). In addition, in unstimulated blood, IL-12p70, IL12A and TLR9 were significantly higher in Maf-infected patients, while IL-15, IL-8 and MIP-1α were higher in Mtb-infected patients. Overnight stimulation with ESAT-6/CFP-10 induced significantly higher levels of IFN-γ and TNF-α production, as well as gene expression of CCL4, IL1B and TLR4 in Mtb- compared to Maf-infected patients. Our study confirms differences in clinical features and immune genes expression and concentration of proteins associated with inflammatory processes between Mtb- and Maf-infected patients following anti-tuberculosis treatment These findings have public health implications for treatment regimens, and biomarkers for tuberculosis diagnosis and susceptibility.