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. 2019 Oct;25(10):1861–1867. doi: 10.3201/eid2510.181699

Table 3. Antimicrobial resistance patterns of imipenem-resistant and imipenem-susceptible Pseudomonas aeruginosa isolates, Zhejiang Province, China, 2015–2017*.

Antimicrobial drugs No. isolates (susceptibility rate, %)
p value Total susceptibility rate, % MIC50, μg/mL
MIC90, μg/mL
IMP-S IMP-R S R S R
Piperacillin/tazobactam 41,145 (85.70) 23,721 (44.01) <0.001 70.46 8 64 64 128
Ceftazidime 30,326 (86.26) 18,348 (47.93) <0.001 71.81 4 16 32 64
Cefepime 42,492 (89.01) 24,947 (50.83) <0.001 74.89 2 8 16 64
Aztreonam 24,215 (68.07) 13,823 (30.32) <0.001 54.35 8 32 32 64
Amikacin 42,106 (97.38) 24,748 (85.69) <0.001 93.06 2 4 8 64
Gentamicin 41,207 (92.80) 24,618 (74.29) <0.001 85.88 1 2 4 16
Ciprofloxacin 42,442 (88.28) 25,063 (51.64) <0.001 74.67 0.25 1 2 4
Levofloxacin 41,982 (89.06) 24,593 (53.17) <0.001 75.80 0.5 2 4 8
Meropenem 17,166 (96.97) 9,750 (25.36) <0.001 71.03 1 8 1 16
Colistin 1,624 (99.08) 627 (99.04) NA 99.07 1 1 1 2
Polymyxin B 5,012 (98.60) 3,746 (98.37) 0.452 98.50 1 1 2 2

*MIC50 and MIC90 were generated from the minimal inhibitory concentrations of antimicrobial drugs. Bold text indicates p values <0.05. IMP-R, imipenem-resistant; IMP-S, imipenem-susceptible; NA, not applicable; R, resistant; S, susceptible.