Schablon Anja, Harling Melanie, Diel Roland, Ringshausen Felix C, Torres Costa Jose, Nienhaus Albert
University Medical Center Hamburg-Eppendorf, Institute for Health Services Research in Dermatology and Nursing, Hamburg, Germany Institution for Statutory Accident Insurance and Prevention in the Health and Welfare Services, Department of Occupational Health Research, Hamburg, Germany.
GMS Krankenhhyg Interdiszip. 2010 Sep 21;5(2):Doc05. doi: 10.3205/dgkh000148.
Data concerning conversion and reversion rates in the serial testing of healthcare workers (HCWs) is rare. So far, there is no consensus on how to define and interpret interferon-gamma release assays (IGRA) conversions and reversions, or how to deal with such results. We analysed conversion and reversion rates in the serial testing of HCWs using an IGRA.
The study population comprises 287 HCWs, who participated in routine occupational safety and health screening for latent tuberculosis infection (LTBI) with the QuantiFERON-TB(®) Gold In-Tube assay (QFT). Four different definitions for conversion and reversion were applied: 1) transgression or regression above/below the cut-off; 2) increase from <0.2 to >0.7 IU/ml or decrease from >0.7 to <0.2 IU/ml; 3) transgression or regression above/below the cut-off plus change of ≥0.50 IU/ml; and 4) transgression or regression above/below the cut-off plus change of ≥0.70 IU/ml.
The highest conversion and reversion rates of 6.1% (95% CI 3.5 to 9.9) and 32.6% (95% CI 19.1 to 48.5) respectively were observed with the least stringent definition of negative to positive. The most stringent definition of an increase of ≥0.7 IU/ml above the cut-point produced the lowest conversion rate of 2.5% (95% CI 0.9 to 5.3). Using an uncertainty zone from 0.2 to 0.7 IU/ml gave low conversion (2.6%) and reversion rates (15.4%).
Our data confirmed the findings of previous studies that suggest that a simplistic dichotomous negative to positive definition of the IGRA might be deceptive because of the high number of spontaneous conversions and reversions. Therefore using an uncertainty zone around the cut-point (e.g. 0.2 to 0.7 IU/ml) could improve the discrimination between unspecific variation around the diagnostic cut-off and true conversion or reversion.
关于医护人员(HCWs)系列检测中转换率和逆转率的数据很少。到目前为止,对于如何定义和解释干扰素-γ释放试验(IGRA)的转换和逆转,或者如何处理这些结果,尚无共识。我们使用IGRA分析了医护人员系列检测中的转换率和逆转率。
研究人群包括287名医护人员,他们使用QuantiFERON-TB(®)金标管法(QFT)参加了潜伏性结核感染(LTBI)的常规职业安全与健康筛查。应用了四种不同的转换和逆转定义:1)超过或低于临界值;2)从<0.2 IU/ml增加到>0.7 IU/ml或从>0.7 IU/ml减少到<0.2 IU/ml;3)超过或低于临界值加上变化≥0.50 IU/ml;4)超过或低于临界值加上变化≥0.70 IU/ml。
在从阴性到阳性最宽松的定义下,观察到最高的转换率和逆转率,分别为6.1%(95%可信区间3.5至9.9)和32.6%(95%可信区间19.1至48.5)。高于临界值增加≥0.7 IU/ml的最严格定义产生了最低的转换率,为2.5%(95%可信区间0.9至5.3)。使用0.2至0.7 IU/ml的不确定区间得到了低转换率(2.6%)和逆转率(15.4%)。
我们的数据证实了先前研究的结果,即由于自发转换和逆转的数量众多,IGRA简单的二分法阴性到阳性定义可能具有欺骗性。因此,在临界值周围使用不确定区间(例如0.2至0.7 IU/ml)可以改善对诊断临界值周围非特异性变化与真正转换或逆转之间的区分。