Performance of urinalysis tests in screening for significant bacteriuria

Performance of urinalysis tests in screening for significant bacteriuria

1. Vignesh R, Swathirajan CR, Solomon SS, Solomon S, Balakrishnan P. Performance of urinalysis tests in screening for significant bacteriuria among human immunodeficiency virus‐infected subjects in South India. J Res Med Sci 2017;22:77. 2. Kinouani S, de Lary de Latour H, Joseph JP, Letrilliart L. Diagnostic strategies for urinary tract infections in French general practice. Med Mal Infect 2017...

Performance of urinalysis tests in screening for significant bacteriuria among human immunodeficiency virus-infected subjects in South India

| 2017 | 1 Of the study population, 57.6% were females with mean age of 30.3 years (range, 4–66) and the rest were males with mean age of 38.6 years (range, 1–79). Most infections were due to Escherichia coli (10.7%), followed by other members of family Enterobacteriaceae, Staphylococcus aureus and Pseudomonas aeruginosa. Table 1 outlines the performance of the urinalysis tests for detection of...

Detection of significant bacteriuria by automated urinalysis using flow cytometry.

A new flow cytometry-based automated urine analyzer, the UF-50, was evaluated for its ability to screen urine samples for significant bacteriuria. One hundred eighty-six urine specimens from patients attending an outpatient clinic of a university-based hospital were examined. The results obtained with the UF-50 were compared with those obtained by conventional quantitative urine culture. The UF...

A photometric screening for significant bacteriuria.

Evaluation of six screening methods for detecting significant bacteriuria.

Six screening methods for the successful detection of significant bacteriuria--electrical impedance (Malthus), automated acridine-orange staining (Autotrak), particle counting (Ramus), bioluminescence, nitrite and leucocyte test strip (BM Nephur), and microscopy--were evaluated. All had excellent predictive values for a negative result (97%-100%) but were less accurate in predicting a positive ...