Journal of occupational and environmental medicine · 2014
Beryllium BioBank: 2. Lymphocyte proliferation testing.
СтатьяПоддержка правительства СШАНазвание и аннотация: Перевод в очереди
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.
Harber Philip, Su Jing, Alongi Gabriela
Аннотация
OBJECTIVE: To incrementally improve the use of beryllium lymphocyte proliferation test (LPT) results.
METHODS: Beryllium BioBank data were analyzed for 532 subjects in three groups: beryllium-exposed, sensitized, or chronic beryllium disease. Predictor variables were LPT stimulation index (SI) at the date of the earliest available data and at the study entry date.
RESULTS: Cross-sectionally, LPT SI magnitude does not distinguish among the three groups. The likelihood of progression from sensitization to disease is associated with the absolute value of SI, but LPT SI interpreted by traditional cut point criteria was not predictive.
CONCLUSIONS: Updating the criteria for interpreting beryllium LPT data should be considered. Prediction of progression to chronic beryllium disease may be improved by changing the cut point for interpretation or by using the SI as a continuous variable.
METHODS: Beryllium BioBank data were analyzed for 532 subjects in three groups: beryllium-exposed, sensitized, or chronic beryllium disease. Predictor variables were LPT stimulation index (SI) at the date of the earliest available data and at the study entry date.
RESULTS: Cross-sectionally, LPT SI magnitude does not distinguish among the three groups. The likelihood of progression from sensitization to disease is associated with the absolute value of SI, but LPT SI interpreted by traditional cut point criteria was not predictive.
CONCLUSIONS: Updating the criteria for interpreting beryllium LPT data should be considered. Prediction of progression to chronic beryllium disease may be improved by changing the cut point for interpretation or by using the SI as a continuous variable.