Diagnosing Urinary Tract Infection: Bacterial Count and Gram Identification Using Flow Cytometry

Urine culture is still the gold standard for Urinary Tract Infection (UTI) diagnostics, but it takes a long time and expensive. The flow cytometry is a more practical, fast, and reliable test for diagnosing UTI. The study was conducted to determine the validity of the bacterial count with UF 5000 flow cytometry compared to urine culture and to evaluate the coherence between Gram identification (BACT-INFO) results and the manual Gram stain. This was a cross-sectional study aimed to determine the sensitivity, specificity, Positive Predictive Value (PPV), and Negative Predictive Value (NPV) of bacterial count compared to urine culture and to evaluate the coherence between BACT-INFO results with manual Gram stain. Urine from 60 patients diagnosed with suspected UTI was assessed for the ability to diagnose UTI using bacterial count from UF 5000 flow cytometry compared to urine culture and to determine the correlation between BACT-INFO with manual Gram staining results. This study was conducted from January to April 2022. Statistical analysis using the ROC curve showed that the Area Under the Curve (AUC) of the urine bacterial count was 0.856 and by setting a cut-off of 961.8/µL, the sensitivity was 84.0%, specificity 88.9%, PPV 97.7%, NPV 50.0%. The concordance of BACT-INFO compared to manual Gram staining is moderate (obtained from Cohen's Kappa coefficient value 0.3269) with a p-value of 0.0000. The most common bacterial species include Escherichia coli (40.67%), Klebsiella pneumoniae ss pneumoniae (20.33%), Proteus mirabilis (10.17%), Pseudomonas aeruginosa (8.47%), and Acinetobacter baumannii (6.78%). Urine bacterial count based on the flow cytometry method with a cut-off of 961.8/µL has sensitivity and specificity > 80% in diagnosing UTI. There is moderate concordance between BACT-INFO and manual Gram staining. The most common bacteria as the cause of UTI include Escherichia coli, Klebsiella pneumoniae, Proteus mirabilis, Pseudomonas aeruginosa, and Acinetobacter baumannii.

Authors

Institutions

Publication Details

Journal
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY
Published
2025-02-20
DOI
https://doi.org/10.24293/ijcpml.v31i2.2309
Primary Topic
Urinary Tract Infections Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diagnosing Urinary Tract Infection: Bacterial Count and Gram Identification Using Flow Cytometry

Masoumeh Hayati, Budi Santosa, Sri Darmawati, Anak Agung Wiradewi Lestari et al.
1 links
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY
Urinary Tract Infections Management
article

Diagnosing Urinary Tract Infection: Bacterial Count and Gram Identification Using Flow Cytometry

Masoumeh Hayati, Budi Santosa, Sri Darmawati, Anak Agung Wiradewi Lestari, Edward Kurnia Setiawan Limijadi, Jethro Felim
article en

Abstract

Urine culture is still the gold standard for Urinary Tract Infection (UTI) diagnostics, but it takes a long time and expensive. The flow cytometry is a more practical, fast, and reliable test for diagnosing UTI. The study was conducted to determine the validity of the bacterial count with UF 5000 flow cytometry compared to urine culture and to evaluate the coherence between Gram identification (BACT-INFO) results and the manual Gram stain. This was a cross-sectional study aimed to determine the sensitivity, specificity, Positive Predictive Value (PPV), and Negative Predictive Value (NPV) of bacterial count compared to urine culture and to evaluate the coherence between BACT-INFO results with manual Gram stain. Urine from 60 patients diagnosed with suspected UTI was assessed for the ability to diagnose UTI using bacterial count from UF 5000 flow cytometry compared to urine culture and to determine the correlation between BACT-INFO with manual Gram staining results. This study was conducted from January to April 2022. Statistical analysis using the ROC curve showed that the Area Under the Curve (AUC) of the urine bacterial count was 0.856 and by setting a cut-off of 961.8/µL, the sensitivity was 84.0%, specificity 88.9%, PPV 97.7%, NPV 50.0%. The concordance of BACT-INFO compared to manual Gram staining is moderate (obtained from Cohen's Kappa coefficient value 0.3269) with a p-value of 0.0000. The most common bacterial species include Escherichia coli (40.67%), Klebsiella pneumoniae ss pneumoniae (20.33%), Proteus mirabilis (10.17%), Pseudomonas aeruginosa (8.47%), and Acinetobacter baumannii (6.78%). Urine bacterial count based on the flow cytometry method with a cut-off of 961.8/µL has sensitivity and specificity > 80% in diagnosing UTI. There is moderate concordance between BACT-INFO and manual Gram staining. The most common bacteria as the cause of UTI include Escherichia coli, Klebsiella pneumoniae, Proteus mirabilis, Pseudomonas aeruginosa, and Acinetobacter baumannii.

INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORYVol. 31(2)
Diponegoro University (ID), Udayana University (ID), Universitas Muhammadiyah Semarang (ID)
Openalex Percentile: Top 95%
Urinary Tract Infections Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.