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A diagnostic algorithm for detection of urinary tract infections in hospitalized patients with bacteriuria: The “Triple F” approach supported by Procalcitonin and paired blood and urine cultures

机译:一种诊断算法,用于检测住院治疗患者的尿路感染:ProCalcitonin和血液和尿培养的“三重F”方法

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摘要

For acute medicine physicians, distinguishing between asymptomatic bacteriuria (ABU) and clinically relevant urinary tract infections (UTI) is challenging, resulting in overtreatment of ABU and under-recognition of urinary-source bacteraemia without genitourinary symptoms (USB). We conducted a retrospective analysis of ED encounters in a university hospital between October 2013 and September 2018 who met the following inclusion criteria: Suspected UTI with simultaneous collection of paired urinary cultures and blood cultures (PUB) and determination of Procalcitonin (PCT). We sought to develop a simple algorithm based on clinical signs and PCT for the management of suspected UTI. Individual patient presentations were retrospectively evaluated by a clinical "triple F" algorithm (F1 ="fever", F2 ="failure", F3 ="focus") supported by PCT and PUB. We identified 183 ED patients meeting the inclusion criteria. We introduced the term UTI with systemic involvement (SUTI) with three degrees of diagnostic certainty: bacteremic UTI (24.0%; 44/183), probable SUTI (14.2%; 26/183) and possible SUTI (27.9%; 51/183). In bacteremic UTI, half of patients (54.5%; 24/44) presented without genitourinary symptoms. Discordant bacteraemia was diagnosed in 16 patients (24.6% of all bacteremic patients). An alternative focus was identified in 67 patients, five patients presented with S. aureus bacteremia. 62 patients were diagnosed with possible UTI (n = 20) or ABU (n = 42). Using the proposed "triple F" algorithm, dichotomised PCT of < 0.25 pg/ml had a negative predictive value of 88.7% and 96.2% for bacteraemia und accordant bacteraemia respectively. The application of the algorithm to our cohort could have resulted in 33.3% reduction of BCs. Using the diagnostic categories "possible" or "probable" SUTI as a trigger for initiation of antimicrobial treatment would have reduced or streamlined antimicrobial use in 30.6% and 58.5% of cases, respectively. In conclusion, the "3F" algorithm supported by PCT and PUB is a promising diagnostic and antimicrobial stewardship tool.
机译:对于急性医学医师,无症状性菌尿(ABU)和临床相关尿路感染区分(UTI)是具有挑战性的,导致ABU的过度治疗,并在识别无泌尿生殖系统症状(USB)尿源菌血症。怀疑UTI与配对尿培养和血培养(PUB)和降钙素原(PCT)测定的同时收集:我们在2013年10月至九月至2018年间大学附属医院谁符合以下两个标准进行ED遇到的回顾性分析。我们试图根据临床症状和PCT涉嫌UTI的管理开发一个简单的算法。个体患者的演示进行回顾性由临床“三重F”算法评价(F1 =“热”,F2 =“失败”,F3 =“焦点”)由PCT和PUB支撑。我们确定了183名符合纳入标准的ED患者。我们引入了全身受累(SUTI)与三度诊断确定性的长期尿路感染:尿路感染菌血症(24.0%;183分之44),可能SUTI(14.2%;183分之26),并可能SUTI(27.9%; 51/183) 。在菌血症UTI,一半的患者(54.5%;44分之24)呈现无泌尿生殖症状。不和谐的菌血症被确诊16例(均为菌血症患者的24.6%)。另一种聚焦在67例患者,五名患者带有金黄色葡萄球菌菌血症被确定。 62例患者被诊断为可能的UTI(N = 20)或ABU(N = 42)。使用所提出的“三重F”算法,的二分PCT <0.25微克/毫升具有88.7%和菌血症96.2%,阴性预测值为分别UND一致的菌血症。该算法对我们的队列中的应用程序可能导致BC的下降33.3%。使用诊断类别“可能”或“可能” SUTI作为触发抗微生物治疗开始就会分别减少或简化在30.6%的抗微生物用途和箱子58.5%。总之,“3F”算法支持PCT和PUB是一种很有前途的诊断和抗菌管理工作的工具。

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