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从各种临床标本中分离出来的罕见Candida物种的鉴定:不同方法的比较

Ilvana Caklovica Kucukkaya^1,2, Deniz Turan³, Sertac Kucukkaya⁴

¹Department of Medical Microbiology, Institute of Health Sciences, Istanbul University, Istanbul, Turkey. ilvanacaklovica@istanbul.edu.tr.

Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]

|July 8, 2025

概括

罕见的Candida物种感染正在增加,但实验室的识别方法有限. 将传统技术与像VITEK-2这样的自动化系统相结合,可以提高这些难以识别的真菌的准确性.

科学领域:

医学真菌学医学真菌学
临床微生物学临床微生物学
传染性疾病传染性疾病

背景情况:

由罕见的Candida物种引起的侵入性感染的发病率增加.
内在耐药性和较高的抗真菌最小抑制度 (MIC) 值使治疗复杂化.
由于成本和专业知识,在常规实验室实施复杂的分子识别方法的局限性.

研究的目的:

评估和比较罕见的Candida物种常用的识别方法的识别能力.
为临床实验室快速准确识别提供指导.
评估VITEK-2的性能,API ID 32C和各种常规方法与VITEK MS作为黄金标准.

主要方法:

分析了201个分离物,包括16种罕见的Candida物种.
使用VITEK MS,VITEK-2,API ID 32C,CHROMagar Candida,CHROMagar Candida Plus和Tween 80的玉米粉 agar进行识别.
结果的比较和评估准确度的提高与额外的常规方法 (形态学,生物化学测试).

主要成果:

维特克MS确定了所有分离物;常见物种包括C. inconspicua,C. lusitaniae和C. kefyr.
维特克-2实现了53.2%的准确性,API ID 32C单独实现了25.37%的准确性.
将传统方法结合起来,使VITEK-2的准确性提高到81.5%,API ID 32C的准确性提高到54.7%.
冠状腺炎被VITEK-2 (83.3%) 和CHROMagar Candida Plus (100%) 准确地识别出来.
错误的识别往往源于不完整的系统数据库.

结论:

没有一种单一的方法能够准确地确定所有罕见的Candida物种.
对于某些罕见物种,VITEK-2和API ID 32C的准确性有限.
结合显微镜和殖民地形态评估,可显著提高识别准确性,特别是对于C. auris.
对于缺乏先进 MALDI-TOF MS 或分子技术的实验室来说,结合方法至关重要.
定期更新实验室识别系统数据库对于准确检测罕见的Candida物种至关重要.

关键词:

在Candida非白虫.它们是Candida auris.识别方法识别方法罕见的Candida物种罕见的Candida物种

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