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Bacterial clonal diagnostics as a tool for evidence-based empiric antibiotic selection

机译:细菌克隆诊断作为基于证据的经验性抗生素选择的工具

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摘要

Despite the known clonal distribution of antibiotic resistance in many bacteria, empiric (pre-culture) antibiotic selection still relies heavily on species-level cumulative antibiograms, resulting in overuse of broad-spectrum agents and excessive antibiotic/pathogen mismatch. Urinary tract infections (UTIs), which account for a large share of antibiotic use, are caused predominantly by Escherichia coli, a highly clonal pathogen. In an observational clinical cohort study of urgent care patients with suspected UTI, we assessed the potential for E. coli clonal-level antibiograms to improve empiric antibiotic selection. A novel PCR-based clonotyping assay was applied to fresh urine samples to rapidly detect E. coli and the urine strain's clonotype. Based on a database of clonotype-specific antibiograms, the acceptability of various antibiotics for empiric therapy was inferred using a 20%, 10%, and 30% allowed resistance threshold. The test's performance characteristics and possible effects on prescribing were assessed. The rapid test identified E. coli clonotypes directly in patients’ urine within 25–35 minutes, with high specificity and sensitivity compared to culture. Antibiotic selection based on a clonotype-specific antibiogram could reduce the relative likelihood of antibiotic/pathogen mismatch by ≥ 60%. Compared to observed prescribing patterns, clonal diagnostics-guided antibiotic selection could safely double the use of trimethoprim/sulfamethoxazole and minimize fluoroquinolone use. In summary, a rapid clonotyping test showed promise for improving empiric antibiotic prescribing for E. coli UTI, including reversing preferential use of fluoroquinolones over trimethoprim/sulfamethoxazole. The clonal diagnostics approach merges epidemiologic surveillance, antimicrobial stewardship, and molecular diagnostics to bring evidence-based medicine directly to the point of care.
机译:尽管在许多细菌中已知抗生素抗性的克隆分布,但经验性(培养前)抗生素的选择仍然严重依赖于物种水平的累积生物图谱,导致过度使用广谱剂和过度的抗生素/病原体错配。尿路感染(UTI)占抗生素使用的大部分,主要由高度克隆的病原大肠杆菌引起。在一项对疑似UTI的急诊患者进行的观察性临床队列研究中,我们评估了大肠杆菌克隆水平抗菌素谱图改善经验性抗生素选择的潜力。一种新颖的基于PCR的克隆分型测定法被应用于新鲜的尿液样本,以快速检测大肠杆菌和尿毒株的克隆型。根据克隆型特异性抗菌素谱数据库,使用20%,10%和30%的允许抗性阈值推断各种抗生素对经验治疗的可接受性。评估了测试的性能特征以及对处方的可能影响。快速测试可在25-35分钟内直接在患者尿液中鉴定出大肠杆菌克隆型,与培养相比具有高特异性和敏感性。基于克隆型特异性抗菌素的抗生素选择可以使抗生素/病原体错配的相对可能性降低≥60%。与观察到的处方方式相比,以克隆诊断为指导的抗生素选择可以安全地将甲氧苄啶/磺胺甲恶唑的使用量增加一倍,并最大限度地减少氟喹诺酮的使用。总之,快速的基因分型试验表明有望改善对经验丰富的大肠埃希菌抗生素的处方,包括逆转氟喹诺酮类药物对甲氧苄啶/磺胺甲基异恶唑的优先使用。克隆诊断方法融合了流行病学监测,抗菌管理和分子诊断功能,将循证医学直接带到了护理点。

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