Kilbas Imdat, Kahraman Kilbas Elmas Pinar, Horhat Florin George, Ciftci Ihsan Hakki
Medical Microbiology Doctorate Program, Institute of Health Sciences, Istanbul University, 34093 Istanbul, Türkiye.
Department of Medical Laboratory Techniques, Health Services Vocational School, Fenerbahce University, 34758 Istanbul, Türkiye.
J Fungi (Basel). 2025 Aug 19;11(8):603. doi: 10.3390/jof11080603.
This study aimed to systematically evaluate the resistance rates of to various antifungals based on studies conducted in Türkiye and published between 2005 and 2025 and to analyze the factors contributing to resistance. A systematic literature search was conducted using various keywords in electronic databases (PubMed, Embase, Web of Science, EBSCO, Scopus, Turk Medline and Google Scholar). A total of 42 studies were included in the meta-analysis according to the determined criteria. The quality of the studies was assessed using the Joanna Briggs Institute checklist, and the analyses were performed using appropriate statistical software. The highest resistance rates for fluconazole, itraconazole, and voriconazole were observed in the Aegean and Marmara regions. In the analyses performed with the random-effects model, heterogeneity was found to be high for itraconazole, fluconazole, posaconazole, voriconazole, and caspofungin, and the strongest explanatory variable of this heterogeneity was the geographical region variable. In our study, we determined that antifungal resistance in strains in Türkiye is generally low; however, an increasing trend has been observed over the years, especially in amphotericin B resistance. Although the low resistance rates to major antifungal agents such as fluconazole, voriconazole and echinocandins are promising, regional differences and methodological heterogeneity necessitate the development of treatment strategies based on local data.
本研究旨在基于2005年至2025年期间在土耳其开展并发表的研究,系统评估[具体菌株名称]对各种抗真菌药物的耐药率,并分析导致耐药的因素。使用电子数据库(PubMed、Embase、Web of Science、EBSCO、Scopus、Turk Medline和谷歌学术)中的各种关键词进行了系统的文献检索。根据既定标准,共有42项研究纳入荟萃分析。使用乔安娜·布里格斯研究所清单评估研究质量,并使用适当的统计软件进行分析。在爱琴海和马尔马拉地区观察到氟康唑、伊曲康唑和伏立康唑的耐药率最高。在随机效应模型分析中,发现伊曲康唑、氟康唑、泊沙康唑、伏立康唑和卡泊芬净的异质性较高,这种异质性最强的解释变量是地理区域变量。在我们的研究中,我们确定土耳其[具体菌株名称]菌株的抗真菌耐药性总体较低;然而,多年来一直观察到上升趋势,尤其是两性霉素B耐药性。尽管对氟康唑、伏立康唑和棘白菌素等主要抗真菌药物的低耐药率是有希望的,但区域差异和方法学异质性使得有必要根据当地数据制定治疗策略。