Isenberg H D, Gavan T L, Sonnenwirth A, Taylor W I, Washington J A
J Clin Microbiol. 1979 Aug;10(2):226-30. doi: 10.1128/jcm.10.2.226-230.1979.
More than 4,000 clinical urine specimens were evaluated with an automated microbial detection/identification system compared to a standarized manual analysis and the routine modalities used in five peer-group laboratories. The comparison indicates that the automated system recognizes the nine groups of significant microorganisms in urinary tract infections in hospitalized patients with the same efficiency as a standarized manual method. The automated system's ability to enumerate the bacterial populations in the original clinical specimen attained a high degree of accuracy.
与标准化手工分析以及五个同类型实验室使用的常规方法相比,使用自动化微生物检测/鉴定系统对4000多份临床尿液标本进行了评估。比较结果表明,该自动化系统在识别住院患者尿路感染中的九种重要微生物方面,与标准化手工方法具有相同的效率。该自动化系统对原始临床标本中的细菌数量进行计数的能力达到了高度准确。