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Sysmex UF-1000i flow cytometer to screen urinary tract infections: the URISCAM multicentre study.

O Herráez¹, M A Asencio¹, R Carranza¹

¹La Mancha Centro General Hospital, Ciudad Real, Spain.

Letters in Applied Microbiology

|December 10, 2017

Summary

The Sysmex UF-1000i analyzer accurately screens for urinary tract infections (UTIs) using flow cytometry and patient age. This method can reduce urine cultures by 38%, speeding up diagnosis and improving cost-effectiveness.

Keywords:

bacteriuria flow cytometer screening urinary tract infections urine culture

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Area of Science:

Clinical diagnostics
Microbiology
Medical technology

Background:

Urinary tract infections (UTIs) are common, necessitating efficient diagnostic methods.
Traditional urine culture is time-consuming and can lead to delayed treatment.
Automated screening tools are needed to improve laboratory workflow and patient outcomes.

Purpose of the Study:

To evaluate the Sysmex UF-1000i analyzer's accuracy in screening for UTIs.
To determine the feasibility of using flow cytometry parameters and demographic data for UTI diagnosis.
To assess the potential reduction in urine cultures and diagnostic time.

Main Methods:

Analyzed 2468 urine samples from six Spanish hospitals using the Sysmex UF-1000i.
Recorded demographic data (age, gender) and cytometer parameters (bacteria, leucocytes, bacteria morphology).
Utilized data mining and a predictive algorithm with decision rules for UTI identification, comparing results to urine culture (gold standard).

Main Results:

A predictive algorithm using age, bacteria count, and rod morphology identified UTIs with 94.9% accuracy.
The UF-1000i achieved a negative predictive value of 97% with a diagnostic error of 1.17% (0.4% excluding contaminated samples).
Implementation could avoid culturing 38% of urine samples, reducing diagnostic time.

Conclusions:

Flow cytometry parameters combined with age provide an accurate method for UTI screening.
The Sysmex UF-1000i analyzer, with a predictive algorithm, offers high diagnostic accuracy and a high negative predictive value for UTIs.
This approach can significantly reduce the number of urine cultures performed, leading to faster diagnosis, reduced antibiotic use, and improved cost-effectiveness.