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. 2022 Aug 18;43(2):230–244. doi: 10.1093/asj/sjac225

Table 2.

Bacteria Identified at Baseline: Cohort A vs Cohort B

Presence of bacteria Cohort A (n = 50) Cohort B (n = 50) P-valuea
Any bacterial growth? 24 (48.0) 23 (46.0) 1.0000
Staphylococcus hominus 1 (2.0) 3 (6.0) 0.6173
Corynebacterium tuberculosteratum 4 (8.0) 5 (10.0) 1.0000
Aerococcus 0 2 (4.0) 0.4949
Staphylococcus epidermidis 9 (18.0) 9 (18.0) 1.0000
Cutibacterium acnes 22 (44.0) 16 (32.0) 0.3030
Enterobacter 1 (2.0) 6 (12.0) 0.1117
Lactobacillus 0 3 (6.0) 0.2424
Oryzomicrobium 1 (2.0) 1 (2.0) 1.0000
Phylobacter 0 1 (2.0) 1.0000
Pseudomonas 0 2 (4.0) 0.4949
Agrobacterium 0 1 (2.0) 1.0000
Azoperillus 0 1 (2.0) 1.0000
Haemophilus influenza 0 1 (2.0) 1.0000
Staphylococcus pastueri 1 (2.0) 1 (2.0) 1.0000
Massilia 0 1 (2.0) 1.0000
Mycobacterium marinum 0 1 (2.0) 1.0000
Escherichia coli 2 (4.0) 2 (4.0) 1.0000
Sneathia 0 1 (2.0) 1.0000
Serratia marcescens 0 1 (2.0) 1.0000
Staphylococcus lundungensis 1 (2.0) 0 1.0000
Staphylococcus saccrolyticus 3 (6.0) 0 0.2424
Streptococcus mitis 1 (2.0) 0 1.0000
Acinobacter 3 (6.0) 1 (2.0) 0.6173
Bacillus 1 (2.0) 0 1.0000
Gordonia otitis 1 (2.0) 0 1.0000
Klebsiella 2 (4.0) 0 0.4949
Burkholdia 3 (6.0) 0 0.2424
Staphylococcus capitus 1 (2.0) 0 1.0000

Values are n (%). aP-value from Fisher’s exact test, testing the null hypothesis that the true percentages of patients with bacterial growth are equal for the 2 groups vs the alternative hypothesis that these percentages are not equal.