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. 2020 Jan 16;12:11. doi: 10.1186/s13073-019-0706-y

Table 1.

Comparison of key features of Klebsiella genomes from South and Southeast Asian sites

S Asia SE Asia p value (adj) OR LCI UCI
Species assignment 102 100
 K. pneumoniae 100 (98%) 87 (87%) 0.011 0.13 0.01 0.62 *
 K. variicola 1 (1%) 4 (4%) 0.838 4.18 0.40 209.04
 K. quasipneumoniae ssp. quasipneumoniae 1 (1%) 0 (0%) na na na na
 K. quasipneumoniae ssp. similipneumoniae 0 (0%) 9 (9%) na na na na
Features of K. pneumoniae sensu stricto
 Sequence type assignment 100 87
  ST15 11 (11%) 15 (17%) 1.158 1.68 0.67 4.32
  ST14 16 (16%) 2 (2%) 0.008 0.12 0.01 0.56 **
  ST23 2 (2%) 12 (14%) 0.015 7.76 1.65 73.39 *
  ST231 17 (17%) 0 (0%) 5.14 × 10−5 0.00 0.0 0.24 **
 Capsular serotype prediction 79 87
  KL1 2 (2.5%) 13 (15%) 0.012 6.70 1.44 63.22 *
  KL2 4 (5.1%) 11 (13%) 0.216 2.70 0.76 12.15
 Antimicrobial resistance prediction 100 87
  Multi-drug resistant (≥ 3 acquired classes) 81 (81%) 44 (51%) 1.06 × 10−4 0.24 0.12 0.48 **
  Aminoglycosides 76 (76%) 41 (47%) 0.001 0.28 0.14 0.55 **
  Fluoroquinolones 80 (80%) 39 (45%) 7.13 × 10−6 0.21 0.10 0.41 **
  Phenicols 27 (27%) 25 (29%) 7.833 1.09 0.55 2.17
  Sulfonamides 63 (63%) 42 (48%) 0.493 0.55 0.29 1.02
  Tetracyclines 24 (24%) 39 (45%) 0.029 2.56 1.32 5.05 *
  Trimethoprim 62 (62%) 38 (44%) 0.118 0.48 0.25 0.89
  3rd-generation cephalosporins (ESBL) 60 (60%) 41 (47%) 0.949 0.60 0.32 1.11
  Carbapenems 47 (47%) 1 (1%) 7.13 × 10−13 0.01 0.0 0.08 **
 Virulence prediction 100 87
  Yersiniabactin (ybt) 65 (65%) 46 (53%) 0.205 0.61 0.32 1.13
  Aerobactin (iuc) 27 (27%) 32 (37%) 0.319 1.57 0.81 3.07
 Iuc lineages 100 87
  iuc 1 13 (13%) 27 (31%) 0.012 2.99 1.36 6.86 *
  iuc 3 0 (0%) 5 (6%) 0.061 na 1.08 inf
  iuc 5 12 (12%) 0 (0%) 0.001 0.00 0.0 0.8 **
 AMR and virulence convergence 100 87
  ESBL and ybt 45 (45%) 26 (30%) 0.144 0.52 0.27 0.99
  ESBL and iuc 16 (16%) 1 (1%) 0.001 0.06 0.0 0.41 **
  CP and ybt 37 (37%) 1 (1%) 1.79 × 10− 10 0.02 0.0 0.13 **
  CP and iuc 13 (13%) 0 (0%) na na 0.0 0.34

*South (S) Asia is represented by the two sites in India and Nepal, isolated 2016–2017; Southeast (SE) Asia is represented by the sites in Cambodia, Laos, Thailand and Vietnam, isolated 2015–2016. p values were calculated using Fisher’s exact test for differences in the prevalence of each feature (in rows) for the S vs SE Asia samples and are adjusted using Bonferroni correction for the number of tests within each group of comparisons (as labelled in italics; sample size for each are also in italics). na test not applicable (one or more values equal to zero). Inf infinity, OR odds ratio, LCI and UCI, lower and upper bounds for 95% confidence interval, respectively. *p < 0·05, **p < 0·01