OBJECTIVES: To determine the best urinary bacterial concentration to diagnose urine infections. METHODS: We studied a quantitative culture of paired urine samples from children that were promptly tested together after serial dilution. The initial diagnosis of urinary tract infection made from the result of the first urine culture and subsequently modified according to the second sample result, and then the ratio of their colony counts was considered. A total of 203 children (aged 2.0 weeks to 17.7 years) were screened for urine infection in a hospital setting. RESULTS: The 36 children who had a urinary tract infection, defined as having the same uropathogen in both urine samples at concentrations within 25-fold of each other, had a mean colony count of 1.7 x 10(7) colony-forming units/mL. Among the 167 children who did not have a urinary tract infection, 12 (7.2%) would have had a false-positive diagnosis made on the first sample, which was revealed because the second sample result was different (n = 7) or had a > or =25-fold different colony count (n = 5). Raising the threshold from 10(5) to 10(6) colony-forming units/mL reduces the false-positive rate 4.8%. If 2 samples are cultured, the false-positive rates fall to 3.6% and 0.6%, respectively. All 9 children (5.4% of those without a urinary tract infection) who had a mixed culture with > or =10(5) colony-forming units/mL of a uropathogen (heavy mixed growth) in the first sample had a urine infection excluded by the second sample result. CONCLUSION: The minimum urinary bacterial concentration that is used to diagnose a urine infection should be increased from > or =10(5) to > or =10(6) colony-forming units/mL, because that would reduce the false-positive rate from 7.2% to 4.8% if 1 sample was cultured and from 3.6% to 0.6% if 2 samples were cultured. Urine samples with heavy mixed growths should be considered contaminated.
OBJECTIVES: To determine the best urinary bacterial concentration to diagnose urine infections. METHODS: We studied a quantitative culture of paired urine samples from children that were promptly tested together after serial dilution. The initial diagnosis of urinary tract infection made from the result of the first urine culture and subsequently modified according to the second sample result, and then the ratio of their colony counts was considered. A total of 203 children (aged 2.0 weeks to 17.7 years) were screened for urine infection in a hospital setting. RESULTS: The 36 children who had a urinary tract infection, defined as having the same uropathogen in both urine samples at concentrations within 25-fold of each other, had a mean colony count of 1.7 x 10(7) colony-forming units/mL. Among the 167 children who did not have a urinary tract infection, 12 (7.2%) would have had a false-positive diagnosis made on the first sample, which was revealed because the second sample result was different (n = 7) or had a > or =25-fold different colony count (n = 5). Raising the threshold from 10(5) to 10(6) colony-forming units/mL reduces the false-positive rate 4.8%. If 2 samples are cultured, the false-positive rates fall to 3.6% and 0.6%, respectively. All 9 children (5.4% of those without a urinary tract infection) who had a mixed culture with > or =10(5) colony-forming units/mL of a uropathogen (heavy mixed growth) in the first sample had a urine infection excluded by the second sample result. CONCLUSION: The minimum urinary bacterial concentration that is used to diagnose a urine infection should be increased from > or =10(5) to > or =10(6) colony-forming units/mL, because that would reduce the false-positive rate from 7.2% to 4.8% if 1 sample was cultured and from 3.6% to 0.6% if 2 samples were cultured. Urine samples with heavy mixed growths should be considered contaminated.
Authors: Kathryn O'Brien; Naomi Stanton; Adrian Edwards; Kerenza Hood; Christopher C Butler Journal: Scand J Prim Health Care Date: 2011-03 Impact factor: 2.581
Authors: Harriet Downing; Emma Thomas-Jones; Micaela Gal; Cherry-Ann Waldron; Jonathan Sterne; William Hollingworth; Kerenza Hood; Brendan Delaney; Paul Little; Robin Howe; Mandy Wootton; Alastair Macgowan; Christopher C Butler; Alastair D Hay Journal: BMC Infect Dis Date: 2012-07-19 Impact factor: 3.090