Comparison of Urine Flow Cytometry on the UF-1000i System and Urine Culture of Urine Samples from Urological Patients

Fritzenwanker, Moritz; Grabitz, Marcel Oliver; Arneth, Borros; Renz, Harald; Imirzalioglu, Can; Chakraborty, Trinad; Wagenlehner, Florian M. E.

doi:10.1159/000520166

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…This inconsistency might mainly be attributed to a variable mixture of components in the urine, such as cells, casts, crystals, and bacteria. Furthermore, when the automated urine sediment analyzer interferes with various particle sizes, it may mistake other urinary components for RBCs [23].…”

Section: Discussionmentioning

confidence: 99%

The application of new complex indicators in the detection of urine

Bao

et al. 2023

BMC Nephrol

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Background Accurate diagnosis and assessment of hematuria is crucial for the early detection of chronic kidney disease(CKD). As instability of urinary RBC count (URBC) often results with clinical uncertainty, therefore new urinary indexes are demanded to improve the accuracy of diagnosis of hematuria. In this study, we aimed to investigate the benefit of applying new complex indicators based on random urine red blood cell counts confirmed in hematuric kidney diseases. Methods All patients enrolled underwent renal biopsy, and their clinical information was collected. Urinary and blood biomedical indexes were implemented with red blood cell counts to derive complex indicators. Patients were divided into two groups (hematuria-dominant renal histologic lesions and non-hematuria-dominant renal histologic lesions) based on their renal pathological manifestations. The target index was determined by comparing the predictive capabilities of the candidate parameters for hematuric kidney diseases. Hematuria stratification was divided into four categories based on the scale of complex indicators and distributional features. The practicality of the new complex indicators was demonstrated by fitting candidate parameters to models comprising demographic information. Results A total of 1,066 cases (678 hematuria-dominant renal histologic lesions) were included in this study, with a mean age of 44.9 ± 15 years. In differentiating hematuria-dominant renal histologic lesion from the non-hematuria-dominant renal histologic lesion, the AUC value of “The ratio of the random URBC to 24-h albumin excretion” was 0.76, higher than the standard approach of Lg (URBC) [AUC = 0.744] (95% Confidence interval (CI) 0.712 ~ 0.776). The odds ratio of hematuria-dominant renal histologic lesion (Type I) increased from Q2 (3.81, 95% CI 2.66 ~ 5.50) to Q4 (14.17, 95% CI 9.09 ~ 22.72). The predictive model, composed of stratification of new composite indexes, basic demographic characteristics, and biochemical parameters, performed best with AUC value of 0.869 (95% CI 0.856–0.905). Conclusion The new urinary complex indicators improved the diagnostic accuracy of hematuria and may serve as a useful parameter for screening hematuric kidney diseases.

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Section: Discussionmentioning

confidence: 99%

The application of new complex indicators in the detection of urine

Bao

et al. 2023

BMC Nephrol

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“…Following incubation at 37 °C for 18-24 hours, colonies were examined according to established guidelines. Positive UTI diagnosis was based on a colony forming unit (CFU), a cutoff point of 10 5 CFU per mL [19] was taken into account.…”

Section: Sample Collection and Urine Culturementioning

confidence: 99%

Prevalence of UTI causing pathogens among different subgroups of the local population

Jawad,

Hira

2023

TSFJB

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The Urinary Tract Infection (UTI) is one of the most frequent and contagious infection, caused by range of pathogens, affecting an estimated 150 million people around the globe every year. The current study has investigated the prevalence of UTI among the local population of Pakistan. The urine samples of 200 patients were collected based on different UTI related symptoms and the infection was detected through quantitative urine culture and microscopic enumeration of urine leukocytes. Then UTI causing pathogens were isolated from positive samples and their sensitivity against antibiotics was checked through antimicrobial susceptibility method. The E.coli was the most predominant uropathogen found among all the positive samples followed by Klebsiella, Staphylococcus, Pseudomonas, Acinetobacter, Proteus species, and Enterococcus. The comparative analysis of UTI between both males and females showed that UTI is highly prevalent among female patients as compared to males especially in adult age ranges from 21-30 years due to hormonal changes and pregnancy. All the isolated pathogens were differentially sensitive against conventional antibiotics but they showed highest sensitivity against imipenem while highest resistivity against ampicillin. This study has also shown that the excessive use of antibiotics leads to the drug resistance and increases the chance of any bacterial infection.

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