Skip to main content
. 2019 Mar 28;57(4):e01678-18. doi: 10.1128/JCM.01678-18

TABLE 3.

Evaluation of Urinf database based on percentage and number of correct identifications by bacterial species

Bacterium or bacterial group No. of cases % identification (no. of identified cases) in:
P value
Bruker database Urinf database
Escherichia coli 208 63 (131) 94 (195) <0.0001
Klebsiella pneumoniae 82 50 (41) 91 (75) <0.0001
Enterococcus faecalis 45 51 (23) 84 (38) 0.0007
Proteus mirabilis 30 30 (9) 70 (21) 0.002
Pseudomonas aeruginosa 20 10 (2) 70 (14) 0.0002
Enterobacter cloacae 18 44 (8) 78 (14) 0.04
Enterobacter aerogenes 16 50 (8) 94 (15) 0.008
Citrobacter koseri 13 54 (7) 100 (13) 0.007
Staphylococcus aureus 12 25 (3) 75 (9) 0.02
Klebsiella oxytoca 12 50 (6) 92 (11) 0.03
Streptococcus agalactiae 10 0 (0) 40 (4) 0.04
Staphylococcus epidermidis 7 0 (0) 0 (0) 1
Enterococcus faecium 7 43 (3) 100 (7) 0.03
Staphylococcus saprophyticus 6 0 (0) 83 (5) 0.008
Morganella morganii 5 80 (4) 80 (4) 1
Serratia marcescens 4 0 (0) 75 (3) 0.07
Citrobacter freundii 3 67 (2) 100 (3) 0.5
Raoultella ornithinolytica 1 100 (1) 100 (1) 1
Proteus vulgaris 1 0 (0) 100 (1) 0.5
All Gram-negative bacteria 413 53 (219) 90 (370) <0.0001
All Gram-positive bacteria 87 33 (29) 72 (63) <0.0001
Total 500 50 (248) 87 (433) <0.0001