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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.

ABSTRACT: 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.

SUBMITTER: Rothe K

PROVIDER: S-EPMC7580978 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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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.

Rothe Kathrin K Spinner Christoph D CD Waschulzik Birgit B Janke Christian C Schneider Jochen J Schneider Heike H Braitsch Krischan K Smith Christopher C Schmid Roland M RM Busch Dirk H DH Katchanov Juri J

PloS one 20201022 10

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 urina ...[more]

PMID: 33091046

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Project description:In the microbiology laboratory, there is an augmented need for rapid screening methods for the detection of bacteria in urine samples, since about two-thirds of these samples will not yield any bacteria or will yield insignificant growth when cultured. Thus, a reliable screening method can free up laboratory resources and can speed up the reporting of a negative urine result. In this study, we have evaluated the detection of leukocytes, bacteria, and a new sediment indicator, the "all small particles" (ASP), by an automated instrument, the iQ200 urine analyzer, to detect negative urine samples that can be excluded from culture. A coupled automated strip reader (iChem Velocity), enabling the detection of nitrite and leukocyte esterase, was tested in parallel. In total, 963 urine samples were processed through both conventional urine culture and the iQ200/iChem Velocity workstation. Using the data, a multivariate regression model was established, and the predicted specificity and the possible reduction in urine cultures were calculated for the indicators and their respective combinations (leukocytes plus bacteria plus ASP and leukocyte esterase plus nitrite). Among all options, diagnostic performance was best using the whole microscopic content of the sample (leukocytes plus bacteria plus ASP). By using a cutoff value of ? 10(4) CFU/ml for defining a positive culture, a given sensitivity of 95% resulted in a specificity of 61% and a reduction in urine cultures of 35%. By considering the indicators alone, specificity and the culture savings were both much less satisfactory. The regression model was also used to determine possible cutoff values for running the instrument as part of daily routine. By using a graphical representation of all combinations possible, we derived cutoff values for leukocyte, bacterial, and ASP count, which should enable the iQ200 microscope to screen out approximately one-third of the urine samples, significantly reducing the workload in the microbiology laboratory.

Project description:We examined the characteristics of pro-calcitonin (PCT) in hospitalized COVID-19 patients (cohort 1) and clinical outcomes of antibiotic use stratified by PCT in non-critically ill patients without bacterial co-infection (cohort 2). Retrospective reviews were performed in adult, hospitalized COVID-19 patients during March-May 2020. For cohort 1, we excluded hospital transfers, renal disease and extra-pulmonary infection without isolated pathogen(s). For cohort 2, we further excluded microbiologically confirmed infection, 'do not resuscitate ± do not intubate' status, and intensive care unit (ICU). For cohort 1, PCT was compared between absent/low-suspicion and proven bacterial co-infections. Factors associated with elevated PCT and sensitivity/specificity/PPV/NPV of PCT cutoffs for identifying bacterial co-infections were explored. For cohort 2, clinical outcomes including mechanical ventilation within 5 days (MV5) were compared between the antibiotic and non-antibiotic groups stratified by PCT ≥ 0.25 µg/L. Nine hundred and twenty four non-ICU and 103 ICU patients were included (cohort 1). The median PCT was higher in proven vs. absent/low-suspicion of bacterial co-infection. Elevated PCT was significantly associated with proven bacterial co-infection, ICU status and oxygen requirement. For PCT ≥ 0.25 µg/L, sensitivity/specificity/PPV/NPV were 69/65/6.5/98% (non-ICU) and 75/33/8.6/94% (ICU). For cohort 2, 756/1305 (58%) patients were included. Baseline characteristics were balanced between the antibiotic and non-antibiotic groups except PCT ≥ 0.25 µg/L (antibiotic:non-antibiotic = 59%:24%) and tocilizumab use (antibiotic:non-antibiotic = 5%:2%). 23% (PCT < 0.25 µg/L) and 58% (PCT ≥ 0.25 µg/L) received antibiotics. Antibiotic group had significantly higher rates of MV5. COVID-19 severity inferred from ICU status and oxygen requirement as well as the presence of bacterial co-infections were associated with elevated PCT. PCT showed poor PPV and high NPV for proven bacterial co-infections. The use of antibiotics did not show improved clinical outcomes in COVID-19 patients with PCT ≥ 0.25 µg/L outside of ICU when bacterial co-infections are of low suspicion.

Dataset Information

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.

Publications

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.

Similar Datasets

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