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高危人群感染的抗菌药物耐药性患病率及危险因素

Prevalence and Risk Factors for Antimicrobial Resistance of Infections in a High-Risk Population.

作者信息

Hackett Asher, Yossepowitch Orit, Goor Yael, Sheffer Rivka, Schwartz Orna, Sheftel Yonatan, Weiss Yarden, Maor Yasmin

机构信息

Division of Dermatology, Rabin Medical Center, Petah-Tikva 4941492, Israel.

Infectious Disease Unit, Edith Wolfson Medical Center, Halochamim 62, Holon 5822012, Israel.

出版信息

J Clin Med. 2024 Aug 21;13(16):4924. doi: 10.3390/jcm13164924.

Abstract

() infections and antibiotic resistance are increasing in prevalence while treatment options are limited. Limited data exist regarding resistance in Israel. Our aim was to study the prevalence of resistance in a sexually transmitted infection (STI) clinic in Israel. We performed a single-center retrospective study among patients attending an STI clinic during 2019-2020. isolates were tested to detect their resistance to azithromycin and fluoroquinolones (FQs) using commercial kits (Allplex™ & AziR Assay, Allplex™ & MoxiR Assay). We collected patient data regarding the risk factors for STIs and resistance. A multivariate logistic regression model was used to identify the risk factors for resistance. Of the 142 patients who tested positive for , 50 (35.2%) and 22 (15.5%) had resistant mutations to azithromycin and FQ, respectively, and 13 (9.2%) showed resistance to both agents. In a multivariate logistic regression model, men who have sex with men (RR 7.01 95% CI 3.00-16.33) and past STIs (RR 2.33 95% CI 1.01-5.34) were independent risk factors for azithromycin resistance. We found a high prevalence of azithromycin resistance and, to a lesser degree, FQ resistance. These findings may help design the treatment guidelines and support routine resistance testing in high-risk populations.

摘要

()感染和抗生素耐药性的患病率正在上升,而治疗选择却很有限。以色列关于耐药性的数据有限。我们的目的是研究以色列一家性传播感染(STI)诊所的耐药性患病率。我们对2019 - 2020年期间在一家STI诊所就诊的患者进行了单中心回顾性研究。使用商业试剂盒(Allplex™ & AziR检测法、Allplex™ & MoxiR检测法)对分离株进行检测,以检测它们对阿奇霉素和氟喹诺酮类药物(FQs)的耐药性。我们收集了患者关于性传播感染和耐药性危险因素的数据。使用多变量逻辑回归模型来确定耐药性的危险因素。在142例检测呈阳性的患者中,分别有50例(35.2%)和22例(15.5%)对阿奇霉素和FQ有耐药性突变,13例(9.2%)对两种药物均耐药。在多变量逻辑回归模型中,男男性行为者(相对风险7.01,95%置信区间3.00 - 16.33)和既往性传播感染(相对风险2.33,95%置信区间1.01 - 5.34)是阿奇霉素耐药性的独立危险因素。我们发现阿奇霉素耐药性的患病率很高,氟喹诺酮类药物耐药性的患病率相对较低。这些发现可能有助于制定治疗指南,并支持在高危人群中进行常规耐药性检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7342/11355221/8a2422b10e2c/jcm-13-04924-g001a.jpg

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