Evaluation of BiesseBioscreen as a new methodology for bacteriuria screening.

Urinary tract infection is a common disease diagnosed from symptoms and clinical signs, and bacterial count per volume of urine. This study have evaluated the BiesseBioscreen analyzer as a new way to analyze urine samples en- abling fast screening of urine, prior to reference standard methods currently utilized in microbiology analysis labo- ratory. We analyzed 962 urine samples from outpatients and inpatients of the Tor Vergata (TV) University Hospital of the University of Rome "Tor Vergata". All samples were processed both with the BiesseBioscreen and with the standard methodology adopted by the clinical microbiology laboratory of TV Hospital and the results were com- pared. Of the samples analyzed 54.9% were concordant negative with the reference method and 21.6% concordant positive, 23.3% resulted false positive and 0.2% false negative. The results obtained from BiesseBioscreen showed a sensitivity of 99.0%, indicating it as a system suitable to rule out urinary tract infection. BiesseBioscreen could represent a valid method for screening negative samples to exclude from culture test with a potential reduction in time, workload and costs of the diagnosis.

Bacterial Infection Diagnosis and Antibiotic Prescription in 3 h as an Answer to Antibiotic Resistance: The Case of Urinary Tract Infections.

Current methods for the diagnosis of urinary tract infections with antimicrobial susceptibility testing take 2-3 days and require a clinical laboratory. The lack of a rapid, point-of-care antibiotic susceptibility test (AST) has contributed to the misuse of antibiotics when treating urinary tract infections (UTIs) and consequently to the rise of multi-drug-resistant organisms. The current clinical approach has led to reduced treatment options and increased costs of diagnosis and therapy. To address this issue, novel diagnostics are needed for the timely determination of antimicrobial susceptibility. We present a rapid, point-of-care, phenotypic AST device that can report the antibiotic susceptibility/resistance of a uropathogen to a panel of antibiotics in as few as 3 h by utilizing fluorescent-labelling chemistry and a highly sensitive particle-counting instrument. We analysed 744 urine samples from the outpatients and inpatients of two Italian hospitals. The 130 UTI-positive patient urine samples we found were measured using a panel of six common UTI antibiotics plus a growth control. By comparing our results to hospital laboratory urine cultures, we obtained an overall sensitivity = 81%, a specificity = 83%, an SPV (sensitivity predicted value) = 95%, and an RPV (resistance predicted value) = 54%. According to our preliminary data, the sensitivity predicted value for a single antibiotic agent was 95%, thus allowing (in the vast majority of cases) an early (within 3 h) recognition of an effective agent for a single patient.

A rapid, point-of-care antibiotic susceptibility test for urinary tract infections.

Introduction. The alarming rise in urinary tract infection (UTI) antimicrobial resistance has resulted from a combination of high prevalence, low specificity and the lack of a rapid, point-of-care (POC) antibiotic susceptibility test (AST), which has led to the overuse/inappropriate use of antibiotics.Aim. This study aimed to evaluate the performance of a rapid POC phenotypic AST device in reporting susceptibility information within 2 h.Methodology. Instrument calibration was performed with model bacteria and fluorescent microbeads to determine the dynamic range and limit of detection for quantifying concentrations of bacteria and demonstrate the ability to rapidly differentiate susceptible and resistant model bacteria. We then evaluated 30 presumptive UTI-positive patient urine samples in a clinical pilot study using a panel of 5 common UTI antibiotics plus a growth control and compared our results to the hospital standard of care AST.Results. Our device was able to robustly detect and quantify bacteria concentrations from 50 to 105 colony-forming units (c.f.u.) ml-1. The high sensitivity of this measurement technique enabled the device to differentiate between susceptible and resistant model bacteria with 100 % specificity over a 2 h growth period. In the clinical pilot study, an overall categorical agreement (CA) of 90.7 % was observed (sensitivity=91.4 %, specificity=88.9 %, n=97) with performance for individual drugs ranging from 85 % CA (ceftazidime) to 100 % (nitrofurantoin).Conclusions. By reducing the typical timeframe for susceptibility testing from 2-3 days to 2 h, our POC phenotypic AST can provide critical information to clinicians prior to the administration of antibiotic therapy.