Lumb R, Davies K, Dawson D, Gibb R, Gottlieb T, Kershaw C, Kociuba K, Nimmo G, Sangster N, Worthington M, Bastian I
Infectious Diseases Laboratories, Institute of Medical and Veterinary Science, Adelaide, South Australia, Australia.
J Clin Microbiol. 1999 Oct;37(10):3102-7. doi: 10.1128/JCM.37.10.3102-3107.1999.
Four Australian hospital laboratories evaluated the performance of the Abbott LCx Mycobacterium tuberculosis assay with 2,347 specimens (2,083 respiratory and 264 nonrespiratory specimens) obtained from 1, 411 patients. A total of 152 specimens (6.5%) were culture positive for Mycobacterium tuberculosis complex (MTBC); of these, 79 (52%) were smear positive. After resolution of discrepant data, the overall sensitivity, specificity, and positive and negative predictive values for the LCx assay were 69.7, 99.9, 99.1, and 97.7% respectively. For smear-positive respiratory specimens that were culture positive for MTBC, the values were 98.5, 100, 100, and 98.4%, respectively, while the values for smear-negative respiratory specimens were 41.5, 99.9, 96.4, and 98%, respectively. Relative operating characteristic curves were constructed to demonstrate the relationship between sensitivity and specificity for a range of possible cutoff values in the LCx assay. These graphs suggested that the assay sensitivity for respiratory samples could be increased from 70.2 to 78.6%, while the specificity would be reduced from 99.9 to 99.4% by inclusion of a grey zone (i.e., LCx assay values of between 0.2 and 0.99). An algorithm is presented for the handling of specimens with LCx assay values within this grey zone.
四个澳大利亚医院实验室对雅培LCx结核分枝杆菌检测法的性能进行了评估,检测对象为从1411名患者身上获取的2347份标本(2083份呼吸道标本和264份非呼吸道标本)。共有152份标本(6.5%)结核分枝杆菌复合群(MTBC)培养呈阳性;其中,79份(52%)涂片呈阳性。在解决了有差异的数据后,LCx检测法的总体灵敏度、特异性、阳性预测值和阴性预测值分别为69.7%、99.9%、99.1%和97.7%。对于MTBC培养呈阳性的涂片阳性呼吸道标本,这些值分别为98.5%、100%、100%和98.4%,而涂片阴性呼吸道标本的值分别为41.5%、99.9%、96.4%和98%。构建了相对操作特征曲线,以展示LCx检测法在一系列可能的临界值下灵敏度和特异性之间的关系。这些图表表明,通过纳入一个灰色区域(即LCx检测值在0.2至0.99之间),呼吸道样本的检测灵敏度可从70.2%提高到78.6%,而特异性将从99.9%降至99.4%。本文给出了一种处理LCx检测值处于该灰色区域内标本的算法。