Diagnostic microbiology and infectious disease · 2011
Diagnosis of tuberculosis infection by tuberculin skin test and a whole-blood interferon-γ release assay in patients considered for anti-tumor necrosis factor-α therapy.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Casas Susana, Andreu Ana, Juanola Xavier, Bordas Xavier, Alcaide Fernando, Moure Raquel, Anibarro Luis, Cuchí Eva, Esteve Maria, Ortiz Vera, Guerra Maria Rosario, Rodríguez Jesus, Reina Delia, Salvador Georgina, Guardiola Jordi, Surís Xavier, Pascual Maria Angeles, Martí Carmina, Martínez-Lacasa Xavier, Cuquet Jordi, Gonzalez Lucia, Santin Miguel
Аннотация
To assess the performance of QuantiFERON®-TB Gold in-Tube (QFT-GIT; Cellestis, Carnegie, Australia) and tuberculin skin test (TST) in patients with immune-mediated inflammatory diseases (IMID), before anti-tumor necrosis factor-α (TNF-α) therapy, and to compare the results with those from the healthy population. Three hundred fourteen subjects (214 with IMID and 100 controls) underwent simultaneous QFT-GIT and TST. QFT-GIT was positive in 21% of IMID patients and in 16% of controls (P = 0.29). Among IMID patients, 21% tested positive by QFT-GIT and 24%, by TST (P = 0.30). Positive QFT-GIT results were not affected by immunosuppressive therapy (odds ratio, 0.78; 95% confidence interval [CI], 0.36-1.68; P = 0.52). Agreement between both tests in those patients who tested positive by one of the tests was 50% (95% CI, 37.2-62.8). QFT-GIT is useful for identifying IMID patients requiring treatment of latent tuberculosis before anti-TNF therapy. However, given the poor agreement between TST and QFT-GIT, we advocate a strategy of simultaneous testing to optimize diagnostic sensitivity.