Emerging carbapenem resistance in Escherichia coli, including sequence type 131 (ST131), the leading cause of extraintestinal E. coli infections globally, threatens therapeutic efficacy. Accordingly, we determined broth microdilution MICs for three distinctive newer agents, i.e., cefiderocol (CFDC), ceftazidime-avibactam (CZA), and eravacycline (ERV), plus 11 comparators, against 343 carbapenem-resistant (CR) clinical E. coli isolates, then compared susceptibility results with bacterial characteristics and region.
KEYWORDS: E. coli, KPC, MIC, ST131-H30, carbapenem resistant, cefiderocol, ceftazidime-avibactam, coresistance, eravacycline, metallo-beta-lactamase
ABSTRACT
Emerging carbapenem resistance in Escherichia coli, including sequence type 131 (ST131), the leading cause of extraintestinal E. coli infections globally, threatens therapeutic efficacy. Accordingly, we determined broth microdilution MICs for three distinctive newer agents, i.e., cefiderocol (CFDC), ceftazidime-avibactam (CZA), and eravacycline (ERV), plus 11 comparators, against 343 carbapenem-resistant (CR) clinical E. coli isolates, then compared susceptibility results with bacterial characteristics and region. The collection comprised 203 U.S. isolates (2002 to 2017) and 141 isolates from 17 countries in Europe, Latin America, and the Asia-West Pacific region (2003 to 2017). Isolates were characterized for phylogenetic group, resistance-associated sequence types (STs) and subsets thereof, and relevant beta-lactamase-encoding genes. CFDC, CZA, and ERV exhibited the highest percent susceptible (82% to 98%) after tigecycline (TGC) (99%); avibactam improved CZA's activity over that of CAZ (11% susceptible). Percent susceptible varied by phylogroup and ST for CFDC and CZA (greatest in phylogroups B2, D, and F, and in ST131, ST405, and ST648). Susceptibility also varied by resistance genotype, being higher with the Klebsiella pneumoniae carbapenemase (KPC) for CZA, lower with metallo-beta-lactamases for CFDC and CZA, and higher with the beta-lactamase CTX-M for ERV. Percent susceptible also varied by global region for CZA (lower in Asia-Pacific) and by U.S. region for ERV (lower in the South and Southeast). Although resistance to comparators often predicted reduced susceptibility to a primary agent (especially CFDC and CZA), even among comparator-resistant isolates the primary-agent-susceptible fraction usually exceeded 50%. These findings clarify the likely utility of CFDC, CZA, and ERV against CR E. coli in relation to multiple bacterial characteristics and geographical region.
INTRODUCTION
Carbapenem resistance is emerging in Escherichia coli, including within sequence type (ST) 131 and its pandemic, multidrug-resistant (MDR) H30R subset (1–5). This threatens the utility of carbapenems as reliable fallback agents for infections due to organisms resistant to extended-spectrum cephalosporins and fluoroquinolones (6).
Cefiderocol (CFDC), ceftazidime-avibactam (CZA), and eravacycline (ERV) are recently developed agents with activity against carbapenem-resistant (CR) E. coli strains. CFDC is a novel siderophore cephalosporin active against CR Gram-negative bacteria, including those that produce carbapenemases of all Ambler classes or have porin channel mutations and/or efflux pump overexpression (7–9). CZA pairs ceftazidime, an extended-spectrum cephalosporin, with avibactam, a non-beta-lactam, beta-lactamase inhibitor that is active against Ambler class A, class C, and some class D beta-lactamases (10–12). ERV is a novel, fully synthetic fluorocycline antibiotic within the tetracycline class that has broad-spectrum activity against MDR Gram-negative bacteria, including those expressing all Ambler classes of beta-lactamases (13–16).
These agents have been studied minimally against ST131 and, specifically, its resistance-associated H30R subset, with its constituent H30R1 and H30Rx subclones. Accordingly, here, we tested CFDC, CZA, ERV, and comparator agents for activity against a large and geographically diverse collection of CR E. coli in relation to phylogenetic and clonal background (including relevant ST131 subclones and other STs), resistance genes, geographical region within the United States and internationally, and coresistance profiles. We sought to determine the activity of CFDC, CZA, ERV, and other agents against CR E. coli generally, and to what extent this varies in relation to specific bacterial characteristics.
RESULTS
Overall percent susceptible and MICs.
Among the 343 total CR E. coli clinical isolates (Table 1), the percent susceptible was higher for ERV (98%), CFDC (92%), and CZA (82%) than for any nonpotentiated carbapenem (MEM, 59%; IPM, 29%; ETP, 4%) or any other comparator except TGC (99%) (Table 2). For CAZ alone, i.e., without the beta-lactamase inhibitor avibactam, the percent susceptible (11%) was 71% lower than for CZA (82%), and the MIC50 correspondingly was 128-fold higher (64 mg/liter versus 0.5 mg/liter, respectively).
TABLE 1.
Global region and source country of the 343 carbapenem-resistant Escherichia coli study isolates
| Global region | Region within U.S. or country within other regiona | No. of isolates (% of 343) |
|---|---|---|
| North America (U.S.) | Any of below | 203 (59) |
| Central U.S. | 154 (45) | |
| Northeast U.S. | 24 (7) | |
| South U.S. | 15 (4) | |
| Southeast US. | 5 (1.5) | |
| West U.S. | 5 (1.5) | |
| Asia-West Pacific | Any of below | 59 (17) |
| China | 22 (6) | |
| India | 17 (5) | |
| Taiwan | 7 (2) | |
| Philippines | 4 (1.2) | |
| Thailand | 4 (1.2) | |
| Korea | 3 (0.8) | |
| Vietnam | 2 (0.6) | |
| Europe | Any of below | 64 (19) |
| Turkey | 37 (11) | |
| Italy | 9 (3) | |
| Russia | 5 (1.5) | |
| Spain | 3 (0.8) | |
| UK | 3 (0.8) | |
| Israel | 2 (0.6) | |
| Belarus | 1 (0.3) | |
| Belgium | 1 (0.3) | |
| Germany | 1 (0.3) | |
| Greece | 1 (0.3) | |
| Poland | 1 (0.3) | |
| Latin America | Any of below | 17 (5) |
| Chile | 5 (1.5) | |
| Argentina | 4 (1.2) | |
| Brazil | 4 (1.2) | |
| Mexico | 2 (0.6) | |
| Ecuador | 1 (0.3) | |
| Venezuela | 1 (0.3) |
U.S. regions, and countries within other global regions, are listed in order of descending prevalence within the U.S. or other global region; U.S., United States.
TABLE 2.
Overall percent susceptible and MICmin, MIC50, MIC90, and MICmax for cefiderocol, ceftazidime-avibactam, eravacycline, and comparators among 343 carbapenem-resistant Escherichia coli clinical isolates
| Agenta | No. susceptible (% of 343) | MICmin | MIC50 | MIC90 | MICmax |
|---|---|---|---|---|---|
| CFDC | 315 (92) | ≤0.004 | 0.5 | 2 | >64 |
| CZA | 281 (82) | ≤0.125 | 0.5 | >256 | >256 |
| ERV | 335 (98) | ≤0.03 | 0.125 | 0.5 | 2 |
| MEM | 203 (59) | ≤0.03 | 1.0 | >4 | >4 |
| IPM | 100 (29) | 0.125 | 4 | >4 | >4 |
| ETP | 15 (4) | ≤0.016 | >2 | >2 | >2 |
| GEN | 189 (55) | 0.25 | 2 | >16 | >16 |
| TZP | 72 (21) | ≤1.0 | >128 | >128 | >128 |
| AMK | 269 (78) | ≤0.5 | 4 | >64 | ≤ |
| LVX | 62 (18) | ≤0.06 | >8 | >8 | > 8 |
| TGC | 340 (99) | ≤0.25 | 0.5 | 1.0 | 8 |
| CAZ | 36 (11) | ≤0.125 | 32 | >256 | >256 |
| CL | n.a.b | ≤0.06 | 0.125 | 0.25 | 8 |
| MIN | 231 (67) | ≤0.5 | 4 | 16 | >16 |
Abbreviations: AMK, amikacin; CFDC, cefiderocol; CAZ, ceftazidime; CZA, ceftazidime-avibactam; CL, colistin; ERV, eravacycline; ETP, ertapenem; GEN, gentamicin; IPM, imipenem; LVX, levofloxacin; MEM, meropenem; MIN, minocycline; TZP, piperacillin-tazobactam; TGC, tigecycline; MICmin, lowest detected MIC; MICmax, highest detected MIC.
n.a., not applicable; all isolates were resistant.
Phylogroup.
The 343 study isolates were distributed broadly by phylogroup. Individual phylogroups with n ≥3 (which excludes group E with n = 2, 0.6%) accounted for from 8% (group C) to 31% (group B2) of isolates each (Table 3). For CFDC and CZA, percent susceptible varied significantly by phylogroup, being highest in groups B2, D, and F, and lowest in groups A, B1, and C (for CFDC, 93% to 100% versus 82% to 85%; CZA 89% to 93% versus 52% to 76%). In contrast, for ERV percent susceptible did not vary significantly by phylogroup; it ranged from 93% (group A) to 100% (groups B2 and D). Within each phylogroup, percent susceptible was much lower for CAZ alone (0 to 12%) than for CZA (52% to 93%).
TABLE 3.
Percent susceptible to cefiderocol, ceftazidime-avibactam, eravacycline, and comparators by phylogroup among 343 carbapenem-resistant Escherichia coli clinical isolates
| Agentb,c | No. total susceptible (% of 343) | Phylogroupa and no. susceptible (%) |
Pd | |||||
|---|---|---|---|---|---|---|---|---|
| A (n = 54) | B1 (n = 46) | B2 (n = 105) | C (n = 28) | D (n = 66) | F (n = 42) | |||
| CFDC | 315 (92) | 45 (83) | 39 (85) | 101 (96) | 23 (82) | 66 (100) | 39 (93) | 0.002 |
| CZA | 281 (82) | 41 (76) | 24 (52) | 98 (93) | 19 (68) | 59 (89) | 38 (91) | <0.001 |
| ERV | 335 (98) | 50 (93) | 45 (98) | 105 (100) | 27 (96) | 64 (97) | 42 (100) | |
| MEM | 203 (59) | 24 (44) | 18 (39) | 68 (65) | 12 (43) | 43 (65) | 36 (86) | <0.001 |
| IPM | 100 (29) | 9 (17) | 5 (11) | 43 (41) | 2 (7) | 27 (41) | 14 (33) | <0.001 |
| ETP | 15 (4) | 2 (4) | 3 (7) | 6 (6) | 3 (11) | 0 (0) | 1 (2) | |
| GEN | 189 (55) | 29 (54) | 19 (41) | 69 (66) | 10 (36) | 38 (57) | 39 (93) | 0.046 |
| TZP | 72 (21) | 4 (7) | 6 (13) | 32 (31) | 4 (14) | 19 (29) | 0 (0) | 0.007 |
| AMK | 269 (78) | 44 (82) | 28 (61) | 82 (78) | 24 (86) | 57 (86) | 32 (76) | |
| LVX | 62 (18) | 5 (9) | 10 (22) | 18 (17) | 2 (7) | 20 (30) | 7 (17) | 0.047 |
| TGC | 340 (99) | 52 (96) | 46 (100) | 105 (100) | 28 (100) | 65 (99) | 42 (100) | |
| CAZ | 36 (11) | 5 (9) | 6 (13) | 11 (11) | 0 (0) | 9 (14) | 5 (12) | |
| MIN | 231 (67) | 29 (54) | 25 (54) | 89 (85) | 15 (54) | 43 (65) | 28 (67) | <0.001 |
Phylogroups shown are only those with n > 3 (phylogroup E: n = 2 [0.6%]).
Abbreviations: AMK, amikacin; CFDC, cefiderocol; CAZ, ceftazidime; CZA, ceftazidime-avibactam; ERV, eravacycline; ETP, ertapenem; GEN, gentamicin; IPM, imipenem; LVX, levofloxacin; MEM, meropenem; MIN, minocycline; TZP, piperacillin-tazobactam; TGC, tigecycline.
CL, colistin: not shown; all isolates resistant.
P values, as determined by chi-square test for six-group comparisons across phylogroup, are shown where P < 0.05.
Clonal group and subclone.
The predominant identified STs were ST131 (group B2: 25.7% of 343), ST405 (group D: 7.3%), and ST648 (group F: 8.5%). The predominant ST131 subsets were H30R1 (8.2% of 343) and H30Rx (13.7%), which accounted for 86% of the 86 ST131 isolates (Table 4). For both CFDC and CZA, percent susceptible varied significantly by ST, being higher for isolates from the three analyzed STs than for other isolates, whereas within ST131 percent susceptible was similarly high for H30R1 and H30Rx isolates. In contrast, percent susceptible to ERV did not vary significantly by either ST or ST131 subclone (Table 4).
TABLE 4.
Percent susceptiblea for cefiderocol, ceftazidime-avibactam, eravacycline, and comparators by clonal group among 343 carbapenem-resistant Escherichia coli clinical isolates
| Agentb,c | Total no. (% of 343) | Sequence type (ST) and no. of isolates (%) |
Pe | ST131 subclone and no. of isolates (%) |
Pf | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| ST131 (n = 88) | ST405 (n = 25) | ST648 (n = 29) | Other STs (n = 201) | Non-H30d (n = 268) | H30R1d (n = 28) | H30Rxd (n = 47) | ||||
| CFDC | 315 (92) | 86 (98) | 25 (100) | 28 (97) | 176 (88) | 0.007 | 241 (90) | 28 (100) | 46 (98) | 0.048 |
| CZA | 281 (82) | 85 (97) | 22 (88) | 26 (90) | 148 (74) | <0.001 | 207 (77) | 27 (96) | 47 (100) | <0.001 |
| ERV | 335 (98) | 88 (100) | 24 (96) | 29 (100) | 194 (97) | 260 (97) | 28 (100) | 47 (100) | ||
| MEM | 203 (59) | 58 (66) | 13 (52) | 25 (86) | 107 (53) | 0.003 | 149 (56) | 18 (64) | 36 (77) | 0.02 |
| IPM | 100 (29) | 39 (44) | 15 (60) | 11 (38) | 35 (17) | <0.001 | 63 (24) | 8 (29) | 29 (62) | <0.001 |
| ETP | 15 (4) | 3 (3) | 0 (0) | 0 (0) | 12 (6) | 13 (5) | 0 (0) | 2 (4) | ||
| GEN | 159 (55) | 54 (61) | 12 (48) | 14 (48) | 109 (54) | 142 (53) | 14 (50) | 33 (70) | ||
| TZP | 72 (21) | 26 (30) | 7 (28) | 5 (17) | 34 (17) | 46 (18) | 4 (14) | 22 (47) | <0.001 | |
| AMK | 269 (78) | 68 (77) | 21 (84) | 20 (69) | 160 (80) | 212 (79) | 25 (89) | 32 (68) | ||
| LVX | 62 (18) | 5 (6) | 1 (4) | 5 (17) | 51 (25) | <0.001 | 62 (23) | 0 (0) | 0 (0) | <0.001 |
| TGC | 340 (99) | 88 (100) | 24 (96) | 29 (100) | 199 (99) | 265 (99) | 28 (100) | 47 (100) | ||
| CAZ | 36 (11) | 8 (9) | 2 (8) | 2 (7) | 24 (12) | 29 (11) | 5 (18) | 2 (4) | ||
| MIN | 231 (67) | 75 (85) | 10 (40) | 20 (69) | 126 (63) | <0.001 | 168 (63) | 24 (86) | 39 (83) | 0.002 |
Values for each agent are expressed as no. of isolates (column %).
Abbreviations: AMK, amikacin; CFDC, cefiderocol; CZA, ceftazidime-avibactam; CAZ, ceftazidime; ERV, eravacycline; ETP, ertapenem; GEN, gentamicin; IPM, imipenem; LVX, levofloxacin; MEM, meropenem; MIN, minocycline; TZP, piperacillin-tazobactam.
CL, colistin: not shown; all isolates resistant.
non-H30, not a member of the ST131-H30R1 or H30Rx subclone (includes mainly non-ST131 strains); H30R1, fluoroquinolone resistance-associated subclone within ST131 (excludes H30Rx); H30Rx, ESBL-associated.
P values, as determined by chi-square test, for four-group comparisons across ST-defined categories, are shown where P < 0.05.
P values, as determined by chi-square test for three-group comparisons across ST131 subclones, are shown where P < 0.05.
Resistance genotype.
The 343 study isolates contained genes encoding diverse beta-lactamases, most commonly CTX-M (43%) or CMY-2 (28%), followed by metallo-beta-lactamases (MBLs) (19%), KPC (16%), and OXA-48 (13%) (Table 5). The detected MBL-encoding genes were predominantly for NDM (16% of 343), followed distantly by IMP (2%) and VIM (1%). For CFDC and CZA, percent susceptible was significantly lower (CFDC, moderately; CZA, profoundly) in the presence versus absence of a MBL-encoding gene. In contrast, for ERV percent susceptible was unrelated to beta-lactamase genotype. The comparator agents exhibited various patterns of susceptibility in relation to beta-lactamase genotype.
TABLE 5.
Percent susceptiblea to cefiderocol, ceftazidime-avibactam, eravacycline and comparator agents in relation to individual resistance genesb among 343 carbapenem-resistant Escherichia coli isolates
| Agentc,d | No. of isolates (%) |
|||||
|---|---|---|---|---|---|---|
| Total no. (n = 343) | KPC (n = 55)f | MBLc,e (n = 64)f | OXA-48 (n = 46)f | CTX-M (n = 147)f | CMY-2 (n = 97)f | |
| CFDC | 315 (92) | 53 (96) | 45 (70)*** | 4 (96) | 134 (91) | 87 (90) |
| CZA | 281 (82) | 54 (98)** | 5 (8)*** | 42 (91) | 115 (78) | 76 (78) |
| ERV | 335 (98) | 54 (98) | 61 (95) | 46 (100) | 147 (100)* | 93 (96) |
| MEM | 203 (59) | 24 (44)* | 2 (3)*** | 35 (76)* | 84 (57) | 61 (63) |
| IPM | 100 (29) | 0 (0)*** | 0 (0)*** | 1 (2)*** | 60 (41)*** | 25 (26) |
| ETP | 15 (4) | 0 (0) | 5 (8) | 2 (4) | 4 (3) | 7 (7) |
| GEN | 189 (55) | 27 (49) | 12 (19)*** | 24 (52) | 65 (44)*** | 58 (60) |
| TZP | 72 (21) | 3 (6)** | 8 (13) | 1 (2)** | 39 (27)* | 18 (19) |
| AMK | 269 (78) | 44 (80) | 30 (47)*** | 40 (87) | 105 (71)** | 81 (84) |
| LVX | 62 (18) | 16 (29)* | 3 (5)** | 12 (26) | 2 (1.4)*** | 23 (24) |
| TGC | 340 (99) | 55 (100) | 63 (98) | 46 (100) | 147 (100) | 96 (99) |
| CAZ | 36 (11) | 2 (4) | 1 (1.6)* | 18 (39)*** | 4 (3)*** | 0 (0)*** |
| MIN | 231 (67) | 42 (76) | 35 (54)* | 30 (65) | 85 (58)** | 59 (61) |
Data are expressed as no. of isolates (column %).
Percent susceptible of isolates with resistance gene irrespective of the presence/absence of other resistance genes.
Abbreviations: AMK, amikacin; CFDC, cefiderocol; CAZ, ceftazidime; CZA, ceftazidime-avibactam; ERV, eravacycline; ETP, ertapenem; GEN, gentamicin; IPM, imipenem; LVX, levofloxacin; MEM, meropenem; MIN, minocycline; TZP, piperacillin-tazobactam; TGC, tigecycline; MBL, metallo-beta-lactamase.
CL, colistin: not shown; all isolates resistant.
MBL category includes multiple MBL-encoding resistance genes (NDM [n = 53]; IMP [n = 8]; VIM [n = 3]).
P value symbols, as determined by chi-square test, for indicated group versus all others: *, P < 0.05; **, P < 0.01; ***, P ≤ 0.001.
Geographical region.
At the global level, of the three primary study drugs, only CZA showed significant regional variation in percent susceptible (51% for Asia-West Pacific versus 78% to 92% for other regions) (Table 6). Most comparators followed a similar pattern, usually significantly so. In contrast, within the United States, of the three primary study drugs, only ERV showed significant regional variation in percent susceptible (lowest for South and Southeast U.S.) (Table 7). Most comparator agents also exhibited significant within-U.S. regional variation in percent susceptible, in agent-specific patterns.
TABLE 6.
Percent susceptible for cefiderocol, ceftazidime-avibactam, eravacycline, and comparator agents by region among 343 carbapenem-resistant Escherichia coli clinical isolates
| Agentb,c | No. of isolates (%)a |
Pd | ||||
|---|---|---|---|---|---|---|
| Total (n = 343) | North America (n = 203) | Asia-West Pacific (n = 59) | Europe (n = 64) | Latin America (n = 17) | ||
| CFDC | 315 (92) | 189 (93) | 53 (90) | 57 (89) | 16 (94) | |
| CZA | 281 (82) | 186 (92) | 30 (51) | 50 (78) | 15 (88) | <0.001 |
| ERV | 335 98) | 197 (97) | 58 (98) | 64 (100) | 16 (94) | |
| MEM | 203 (60) | 153 (75) | 7 (12) | 35 (55) | 8 (47) | <0.001 |
| IPM | 100 (29) | 90 (44) | 4 (7) | 3 (5) | 3 (18) | <0.001 |
| ETP | 15 (4) | 7 (3) | 2 (4) | 5 (8) | 1 (6) | |
| GEN | 189 (56) | 131 (65) | 18 (31) | 32 (50) | 8 (47) | <0.001 |
| TZP | 72 (21) | 56 (28) | 10 (17) | 3 (5) | 3 (18) | 0.001 |
| AMK | 269 (78) | 166 (82) | 40 (68) | 50 (78) | 13 (77) | <0.001 |
| LVX | 62 (18) | 40 (20) | 1 (1.7) | 18 (28) | 3 (18) | 0.001 |
| TGC | 340 (99) | 200 (99) | 59 (100) | 64 (100) | 17 (100) | |
| CAZ | 36 (1) | 19 (9) | 0 (0) | 16 (25) | 1 (6) | <0.001 |
| MIN | 231 (67) | 141 (70) | 35 (59) | 45 (70) | 10 (59) | |
Values for each agent are expressed as no. of isolates (column %).
Abbreviations: AMK, amikacin; CFDC, cefiderocol; CAZ, ceftazidime; CZA, ceftazidime-avibactam; ERV, eravacycline; ETP, ertapenem; GEN, gentamicin; IPM, imipenem; LVX, levofloxacin; MEM, meropenem; MIN, minocycline; TZP, piperacillin-tazobactam; TGC, tigecycline.
CL, colistin: not shown; all isolates resistant.
P values, as determined by chi-square test, for overall four-group comparisons are shown where P < 0.05.
TABLE 7.
Percent susceptiblea for cefiderocol, ceftazidime-avibactam, eravacycline, and comparator agents by U.S. region among 343 carbapenem-resistant Escherichia coli clinical isolates
| Agentb,c | No. of isolates (%) |
Pd | |||||
|---|---|---|---|---|---|---|---|
| Total U.S. (% of 203) | Central (n = 154) | Northeast (n = 24) | South (n = 15) | Southeast (n = 5) | West (n = 5) | ||
| CFDC | 189 (93) | 144 (94) | 24 (100) | 12 (80) | 5 (100) | 4 (80) | |
| CZA | 186 (92) | 141 (92) | 24 (100) | 12 (80) | 5 (100) | 4 (80) | |
| ERV | 197 (97) | 152 (99) | 23 (96) | 13 (87) | 4 (80) | 5 (100) | 0.01 |
| MEM | 153 (75) | 122 (79) | 15 (62) | 7 (47) | 5 (100) | 4 (80) | 0.02 |
| IPM | 90 (44) | 69 (45) | 24 (100) | 13 (87) | 4 (80) | 3 (60) | <0.001 |
| ETP | 7 (3) | 6 (4) | 1 (4) | 0 (0) | 0 (0) | 0 (0) | |
| GEN | 131 (65) | 108 (70) | 9 (38) | 9 (60) | 2 (40) | 3 (60) | 0.02 |
| TZP | 56 (28) | 50 (33) | 1 (4) | 2 (13) | 3 (60) | 0 (0) | 0.006 |
| AMK | 166 (82) | 129 (84) | 18 (75) | 10 (67) | 4 (80) | 5 (100) | |
| LVX | 40 (20) | 34 (22) | 4 (17) | 1 (7) | 1 (20) | 0 (0) | |
| TGC | 200 (99) | 153 (99) | 24 (100) | 14 (93) | 4 (80) | 5 (100) | 0.003 |
| CAZ | 19 (9) | 142 (92) | 23 (96) | 14 (93) | 1 (20) | 4 (80) | <0.001 |
| MIN | 141 (70) | 105 (68) | 18 (75) | 10 (67) | 4 (80) | 4 (80) | |
Values for each agent are expressed as no. of isolates (column %).
Abbreviations: AMK, amikacin; CFDC, cefiderocol; CAZ, ceftazidime; CZA, ceftazidime-avibactam; ERV, eravacycline; ETP, ertapenem; GEN, gentamicin; IPM, imipenem; LVX, levofloxacin; MEM, meropenem; MIN, minocycline; TZP, piperacillin-tazobactam; TGC, tigecycline.
CL, colistin: not shown; all isolates resistant.
P values, as determined by chi-square test, for overall five-group comparisons are shown where P < 0.05.
Coresistance.
Among the three primary study agents, percent susceptible was significantly lower in the presence of resistance to comparator agents more commonly for CFDC (eight comparators, multiple classes) and CZA (nine comparators, multiple classes) than ERV (two comparators, TGC and MIN only) (Table 8). Nonetheless, for the primary study agents, even among isolates resistant to a comparator, the percent susceptible to the primary agent was usually >80%, and almost always >50%.
TABLE 8.
Percent susceptible to cefiderocol, ceftazidime-avibactam, and eravacycline in relation to susceptibility or resistance to comparator agents among 343 carbapenem-resistant Escherichia coli study isolates
| Comparator agenta,b | No. susceptible to agent (% of 343) | CFDC susceptiblea |
Pc | CZA susceptiblea |
Pc | ERV susceptiblea (%) |
Pc | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Susceptible to comparator (%) | Resistant to comparator (%) | Susceptible comparator (%) | Resistant to comparator (%) | Susceptible to comparator (%) | Resistant to comparator (%) | |||||
| CFDC | 315 (92) | n.a. | n.a. | n.a. | 272/315 (86) | 9/28 (32) | <0.001 | 309/315 (98) | 26/28 (93) | |
| CZA | 281 (82) | 272/281 (97) | 43/62 (69) | <0.001 | n.a. | n.a. | n.a. | 276/281 (98) | 59/62 (95) | |
| ERV | 335 (98) | 309/335 (92) | 6/8 (75) | 276/335 (82) | 5/8 (63) | n.a. | n.a. | n.a. | ||
| MEM | 203 (59) | 199/203 (98) | 116/140 (83) | <0.001 | 201/203 (99) | 80/140 (57) | <0.001 | 198/203 (98) | 137/140 (98) | |
| IPM | 100 (29) | 98/100 (98) | 217/243 (89) | 0.008 | 100/100 (100) | 181/243 (75) | <0.001 | 100/100 (100) | 235/243 (97) | |
| ETP | 15 (4) | 14/15 (93) | 301/328 (92) | 11/15 (73) | 270/328 (82) | 14/15 (93) | 321/328 (98) | |||
| GEN | 189 (55) | 179/189 (95) | 136/154 (88) | 0.03 | 176/189 (93) | 105/154 (68) | <0.001 | 186/189 (98) | 149/154 (97) | |
| TZP | 72 (21) | 71/72 (97) | 244/271 (90) | 0.02 | 66/72 (92) | 215/271 (79) | 0.02 | 72/72 (100) | 263/271 (97) | |
| AMK | 269 (78) | 255/269 (95) | 60/74 (81) | <0.001 | 239/269 (89) | 42/74 (57) | <0.001 | 263/269 (98) | 72/74 (97) | |
| LVX | 62 (18) | 61/62 (98) | 254/281 (90) | 0.04 | 59/62 (95) | 222/281 (79) | 0.003 | 62/62 (100) | 273/281 (97) | |
| TGC | 340 (99) | 313/340 (92) | 2/3 (67) | 279/340 (82) | 2/3 (67) | 335/340 (98) | 0/3 (0) | <0.001 | ||
| CAZ | 36 (11) | 36/36 (100) | 279/307 (91) | 36/36 (100) | 245/307 (80) | 0.003 | 35/36 (97) | 300/307 (98) | ||
| MIN | 231 (67) | 218/231 (94) | 97/112 (87) | 0.02 | 197/231 (85) | 84/112 (75) | 0.02 | 231/231 (100) | 104/112 (93) | <0.001 |
Abbreviations: AMK, amikacin; CFDC, cefiderocol; CAZ, ceftazidime; CZA, ceftazidime-avibactam; CL, colistin; ERV, eravacycline; ETP, ertapenem; GEN, gentamicin; IPM, imipenem; LVX, levofloxacin; MEM, meropenem; MIN, minocycline; n.a., not applicable (comparison with self); TZP, piperacillin-tazobactam; TGC, tigecycline.
CL, colistin: not shown; all isolates resistant.
P values, as determined by chi-square test, are shown were P < 0.05.
Principle coordinates analysis.
Principle coordinates analysis (PCoA) plots were based on subsets of the extensive metadata as follows: (i) the first PCoA series involved geography, specimen type, phylogenetic/clonal background, and β-lactamase genotype; and (ii) the second PCoA series involved coresistance to 10 conventional comparator agents. Isolates found to be resistant versus susceptible to the particular primary agent (CFDC, CZA, or ERV) consistently were separated spatially to a statistically significant extent (Fig. S1). The significant differences between populations involved the first coordinate (X1) in all instances excepting the first-series PCoA for ERV, where it involved instead the second coordinate (X2). Within a given PCoA series, the overall spatial distribution of primary-agent-resistant isolates in the (X1)-by-(X2) plots was generally similar across the three primary agents.
DISCUSSION
In this study, we assessed 343 domestic and international-source CR E. coli clinical isolates for susceptibility to CFDC, CZA, ERV, and 11 comparator agents, then compared these results with phylogenetic and clonal background, beta-lactamase genotype, geographical origin, and coresistance. The results support five main conclusions. First, CFDC, CZA, and ERV exhibited a higher percent susceptible (82% to 98%) than any comparator except TGC (99%), with avibactam clearly improving CZA's activity over that of CAZ alone (i.e., 82% versus 11% susceptible). Second, percent susceptible varied by phylogroup and ST for CFDC and CZA but not ERV. Third, percent susceptible varied by resistance genotype for all three primary study agents (MBLs, lower for CFDC and CZA; KPC, higher for CZA; CTX-M, higher for ERV). Fourth, percent susceptible varied by global region for CZA (Asia-Pacific lower), and by U.S. region for ERV (South and Southeast lower). Fifth, especially for CFDC and CZA, although resistance to a comparator agent was often associated with a lower percent susceptible to the primary agent, even among coresistant isolates susceptibility to the primary agent usually remained substantial. These findings provide novel perspectives on the likely utility of CFDC, CZA, and ERV against CR E. coli in relation to multiple bacterial characteristics and geographical region.
The high percentage of isolates susceptible to CFDC, CZA, and ERV supports the presumptive use of any of these agents against CR E. coli isolates, pending (or possibly even without) confirmatory in vitro susceptibility testing. Decisions regarding which to use likely will be influenced by such factors as region, cost, availability of drug and susceptibility testing, type of infection, local cumulative susceptibility data, and patient factors, including travel history, concurrent medications, and drug allergies.
The observed phylogenetic and clonal group effects on percent susceptible to the primary and comparator agents within this all-CR E. coli collection diverge from those expected based on previous studies of “all comer” E. coli, or isolates selected based on other resistance phenotypes (17). Here, for the primary study agents, the by-phylogroup differences, although statistically significant, were modest, and the by-ST differences showed the (traditionally “resistance-associated”) predominant STs and the H30Rx subclone (18) to have paradoxically higher percent susceptible values than the population as a whole. This illustrates the context-specific nature of associations of resistance profiles with specific phylogroups and STs, and supports continued exploration of this topic as new agents become available and the corresponding resistance phenotypes emerge.
The observed associations with resistance genotypes are largely as might be expected for the MBLs (potent activity against all beta-lactams, even CFDC, but unaffected by avibactam) and KPC (well inhibited by avibactam) (9, 12, 19). In contrast, the association of CTX-M with heightened susceptibility to ERV is less readily explained. Whether strains for which CTX-M contributes to carbapenem resistance (doubtless in concert with other mechanisms) are less likely to have resistance mechanisms that reduce susceptibility to ERV would be an appropriate topic for future study.
The observed geographical variation in percent susceptible to the primary study agents likely reflects differences in the geographical distribution of the corresponding resistance mechanisms and lineages (20), an analysis of which is ongoing and will be presented separately. This finding illustrates the importance of considering geographical context when assessing patterns of susceptibility and resistance to newer and established agents, since results from one locale may or may not generalize well to other locales, and this cannot be determined without empirical assessment.
The observed patterns of susceptibility to the primary study agents in relation to coresistance to comparator agents support the concept that different resistance phenotypes, and the corresponding resistance mechanisms, are often linked (6, 21). As such, isolates resistant to a given agent are, on average, more likely to be resistant to other agents, even if these are chemically unrelated to the given agent, than are isolates that are susceptible to the given agent. Here, ERV stood out as being largely unaffected by resistance to other agents, apart from the tetracycline derivatives MIN and TGC. This suggests that although ERV is affected by some tetracycline resistance mechanisms (16, 22), these do not track closely with resistance to other drug classes.
Study limitations include the convenience sampling approach used (i.e., participating SENTRY centers and Minnesota Department of Health [MDH] only; no African isolates), the absence of associated epidemiological and clinical data, and the paucity of isolates from some countries and regions of the United States. Study strengths include the otherwise broad geographic coverage, attention to phylogenetic background, resistance genes, coresistance, and geography, and extensive statistical analyses of susceptibility data in relation to these variables.
In conclusion, we found that CFDC, ERV, and CZA were substantially active against a global collection of E. coli clinical isolates. Activity varied in relation to geographical region and multiple bacterial characteristics, and, paradoxically, was especially high against members of the H30R1 and H30Rx ST131 subclones. Our results suggest that all three agents should be useful for treating CR E. coli infections globally, largely independent of coresistance, although this likely will vary in relation to the local prevalence of specific E. coli lineages and carbapenem resistance mechanisms.
MATERIALS AND METHODS
Study isolates.
The 343 CR E. coli study isolates included 203 U.S. isolates (classified here as representing North America) (23) and 140 isolates derived from 17 different countries in 3 other global regions (Asia-West Pacific, Europe, and Latin America) (Table 1).
The U.S. CR isolates were derived from an initial set of 312 presumptive CR clinical E. coli isolates from across the United States, as obtained from the Minnesota Department of Health (MDH) (n = 250; isolation years, 2009 to 2017 [median, 2015]) and JMI Laboratories (n = 62; isolation years, 2002 to 2017 [median, 2013]) (23). They represented all CR E. coli isolates available from these two reference laboratories as of study onset. Isolates were categorized into the following subregions of the United States for geographical comparison: central, northeast, south, southeast, and west.
The MDH isolates (initial n = 250: isolation years, 2009 to 2017 [median, 2015]) had been collected as part of statewide public health surveillance in Minnesota for CR Enterobacteriaceae, which included voluntary (pre-2016) or mandatory (as of 2016) reporting by all clinical laboratories in the state and submission of the corresponding isolates. The isolates had been classified as CR by the submitting laboratories according to then-current definitions, which varied by year and relied on the results of phenotypic +/− molecular tests done in the submitting clinical laboratories, which varied by laboratory. Of the 250 MDH isolates, 141 were confirmed here as CR (i.e., nonsusceptible to ≥1 carbapenem) according to standardized broth microdilution testing (as described below), so were included in the study.
In contrast, the JMI Laboratories isolates (U.S., n = 62: isolation years, 2002 to 2017 [median, 2013]; international, n = 140: isolation years 2003–2017 [median, 2012]) represented all E. coli isolates held by the epidemiologically representative SENTRY Antimicrobial Surveillance Program (which has contributing centers distributed across the United States and globally) (24) that exhibited resistance to at least one carbapenem (doripenem, imipenem, meropenem) according to the standardized broth microdilution testing performed by JMI Laboratories for all SENTRY isolates. All were confirmed here as CR.
Susceptibility testing.
In the research laboratory, isolates underwent standardized broth microdilution MIC determinations with cefiderocol (CFDC), ceftazidime-avibactam (CZA), and eravacycline (ERV); three carbapenems, i.e., ertapenem (ETP), imipenem (IPM), and meropenem (MEM); and eight noncarbapenem comparators, i.e., amikacin (AMK), ceftazidime (CAZ), colistin (CL), gentamicin (GEN), levofloxacin (LVX), minocycline (MIN), tigecycline (TGC), and piperacillin-tazobactam (TZP). Test methods and reference strains were per the Clinical and Laboratory Standards Institute (CLSI) (25), except that CFDC testing was done using iron-depleted broth in prefabricated plates (Shionogi & Co. Ltd.). Interpretive criteria were per CLSI (all agents except cefiderocol and tigecycline) or the U.S. Food and Drug Administration (cefiderocol and tigecycline). For cefiderocol, the FDA criteria as of November 2019 were used (i.e., S ≤2 mg/liter, I or R ≥4 mg/liter; based on a dosage regimen of 2 g every 8 h administered over 3 h). The concentrations of avibactam and tazobactam were fixed at 4 mg/liter, respectively. Intermediate MIC values were considered resistant. This testing confirmed all 343 study isolates (n = 203, North American; n = 140, international) as being nonsusceptible (here considered resistant) to ≥1 carbapenem. Results were reported both as percent susceptible and as MICmin (i.e., lowest detected MIC), MIC50, MIC90, and MICmax (i.e., highest detected MIC). Results for the comparator agents against the U.S. isolates were presented elsewhere (23).
Molecular typing.
Established PCR-based assays were used to identify E. coli phylogroups A, B1, B2, C, D, E, and F (26); selected STs associated with multidrug resistance, recent emergence, and/or extraintestinal infections generally (27–29); the H30 and H30Rx clonal subset within ST131 (29, 30); and resistance genes encoding KPC, NDM, VIM, IMP, OXA, CTX-M, and CMY-2 (31–33). The genes encoding NDM, VIM, and IMP were classified as metallo-beta-lactamase (MBL) genes. Fluoroquinolone-resistant ST131-H30 isolates were classified as H30R, and H30R isolates that tested negative for H30Rx were classified as H30R1 (29, 30).
Statistical methods.
Conventional statistical analysis was limited to variables present in ≥4 isolates (≥1.1% of 343). Comparisons involving dichotomous variables were tested using chi-square tests (including an “N-1” chi-square test) (34). Principle coordinates analysis (PCoA), a type of hierarchical clustering, was used to collapse the extensive metadata for comparison with resistance status to CFDC, CZA, and ERV (i.e., the primary agents). One series of PCoAs (one per primary agent) was done based on isolate geographical origin, source (specimen type), phylogenetic group, ST, ST131 subclone, and β-lactamase genotype. Another series of PCoAs was done based on coresistance phenotype for 10 comparator agents (MEM, IPM, ETP, GEN, TZP, AMK, LVX, TGC, CAZ, and MIN). PCoA results were displayed graphically using two-dimensional plots based on the first two principle coordinates (X1, X2), which capture the greatest share of variance in the data set. For each PCoA, isolates resistant versus susceptible to the particular primary agent were compared statistically for their values on the X1 versus X2 coordinates by using a two-tailed t test. The significance criterion throughout was P < 0.05. Due to the study’s exploratory nature, no adjustment was made for multiple comparisons. PCoA analyses were conducted in R (R Core Team, Vienna, Austria, 2020; https://www.R-project.org/). All other analyses were conducted with SPSS v.19 (IBM Corp., Armonk, NY, 2010).
Supplementary Material
ACKNOWLEDGMENTS
This work was supported in part by research grants from Allergan, Shionogi & Co. Ltd., and Tetraphase Pharmaceuticals, and by the Office of Research Development, Department of Veterans Affairs, grant number 2I01CX000920-04 (J.R.J.). The funders had no control over the content of the report or the decision to publish.
The opinions expressed are those of the authors and not necessarily those of the authors’ institutions or the Department of Veterans Affairs.
James R. Johnson has had research grants and/or consultancies involving Achaogen, Allergan, Crucell/Janssen, Melinta, Merck, Shionogi, Syntiron, and Tetraphase. The other authors report no financial conflicts of interest.
Footnotes
Supplemental material is available online only.
REFERENCES
- 1.Peirano G, Bradford PA, Kazmierczak KM, Badal RE, Hackel M, Hoban DJ, Pitout JDD. 2014. Global incidence of carbapenemase-producing Escherichia coli ST131. Emerg Infect Dis 20:1928–1931. doi: 10.3201/eid2011.141388. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Mushtaq S, Irfan S, Sarma J, Doumith M, Pike R, Pitout J, Livermore D, Woodford N. 2011. Phylogenetic diversity of Escherichia coli strains producing NDM-type carbapenemases. J Antimicrob Chemother 66:2002–2005. doi: 10.1093/jac/dkr226. [DOI] [PubMed] [Google Scholar]
- 3.Liu X, Thungrat K, Boothe D. 2016. Occurrence of OXA-48 carbapenemase and other β-lactamase genes in ESBL-producing multidrug resistant Escherichia coli from dogs and cats in the United States, 2009–2013. Front Microbiol 7:1057. doi: 10.3389/fmicb.2016.01057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Cai J, Zhang R, Hu Y, Zhou H, Chen G. 2014. Emergence of Escherichia coli sequence type 131 isolates producing KPC-2 carbapenemase in China. Antimicrob Agents Chemother 58:1146–1152. doi: 10.1128/AAC.00912-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Livorsi DJ, Chorazy ML, Schweizer MS, Balkenende EC, Blevins AE, Nair R, Samore MH, Nelson RE, Khader K, Perencevich EN. 2018. A systematic review of the epidemiology of carbapenem-resistant Enterobacteriaceae in the United States. Antimicrob Resist Infect Control 7:55. doi: 10.1186/s13756-018-0346-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Hawkey PM, Warren RE, Livermore DM, McNulty CAM, Enoch DA, Otter JA, Wilson PR. 2018. Treatment of infections caused by multidrug-resistant Gram-negative bacteria: report of the British Society for Antimicrobial Chemotherapy/Healthcare Infection Society/British Infection Association Joint Working Party. J Antimicrob Chemother 73:iii2–iii78. doi: 10.1093/jac/dky027. [DOI] [PubMed] [Google Scholar]
- 7.Dobias J, Dénervaud-Tendon B, Poirel L, Nordmann P. 2017. Activity of the novel siderophore cephalosporin cefiderocol against multidrug-resistant Gram-negative pathogens. Eur J Clin Microbiol Infect Dis 36:2319–2327. doi: 10.1007/s10096-017-3063-z. [DOI] [PubMed] [Google Scholar]
- 8.Kazmierczak KM, Tsuji M, Wise MG, Hackel M, Yamano Y, Echols R, Sahm DF. 2017. In vitro activity of the siderophore cephalosporin, cefiderocol, against a recent collection of clinically relevant Gram-negative bacilli from North America and Europe, including carbapenem-nonsusceptible isolates (SIDERO-WT-2014 Study). Antimicrob Agents Chemother 61:e00093-17. doi: 10.1128/AAC.00093-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Wu J, Srinivas P, Pogue J. 2020. Cefiderocol: a novel agent for the management of multidrug-resistant Gram-negative organisms. Infect Dis Ther 9:17–40. doi: 10.1007/s40121-020-00286-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Spiliopoulou I, Kazmierczak K, Stone G. 2020. In vitro activity of ceftazidime/avibactam against isolates of carbapenem-non-susceptible Enterobacteriaceae collected during the INFORM global surveillance programme (2015–17). J Antimicrob Chemother 75:384–391. doi: 10.1093/jac/dkz456. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Castanheira M, Doyle TB, Mendes RE, Sader HS. 2019. Comparative activities of ceftazidime-avibactam and ceftolozane-tazobactam against Enterobacteriaceae isolates producing extended-spectrum β-lactamases from U.S. hospitals. Antimicrob Agents Chemother 63:e00160-19. doi: 10.1128/AAC.00160-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Zhanel G, Lawson C, Adam H, Schweizer F, Zelenitsky S, Lagacé-Wiens P, Denisuik A, Rubinstein E, Gin A, Hoban D, Lynch J, Karlowsky J. 2013. Ceftazidime-avibactam: a novel cephalosporin/β-lactamase inhibitor combination. Drugs 73:159–177. doi: 10.1007/s40265-013-0013-7. [DOI] [PubMed] [Google Scholar]
- 13.Morissey I, Sutcliffe JA, Hackel M, Hawser S. 2015. Assessment of eravacycline against a recent global collection of 4,462 Enterobacteriaceae clinical isolates (2013–2014), In Joint 55th Interscience Conference on Antimicrobial Agents and Chemotherapy and 28th International Congress of Chemotherapy Meeting. American Society of Microbiology, San Diego, CA. [Google Scholar]
- 14.Johnson J, Porter S, Johnston B, Thuras P. 2016. Activity of eravacycline against Escherichia coli clinical isolates from U.S. veterans (2011) in relation to co-resistance phenotype and sequence type 131 genotype. Antimicrob Agents Chemother 60:1888–1891. doi: 10.1128/AAC.02403-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Livermore D, Mushtaq S, Warner M, Woodford N. 2016. In vitro activity of eravacycline against carbapenem-resistant Enterobacteriaceae and Acinetobacter baumannii. Antimicrob Agents Chemother 60:3840–3844. doi: 10.1128/AAC.00436-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Zhanel GG, Cheung D, Adam H, Zelenitsky S, Golden A, Schweizer F, Gorityala B, Lagacé-Wiens PRS, Walkty A, Gin AS, Hoban DJ, Karlowsky JA. 2016. Review of eravacycline, a novel fluorocycline antibacterial agent. Drugs 76:567–588. doi: 10.1007/s40265-016-0545-8. [DOI] [PubMed] [Google Scholar]
- 17.Johnston B, Thuras P, Johnson J. 2020. Activity of ceftazidime-avibactam against Escherichia coli isolates from U.S. veterans (2011) in relation to co-resistance and sequence type 131 (ST131) H30 and H30Rx status. Diagn Microbiol Infect Dis 97:115034. doi: 10.1016/j.diagmicrobio.2020.115034. [DOI] [PubMed] [Google Scholar]
- 18.Johnson J, Porter S, Thuras P, Castanheira M. 2017. The pandemic H30 subclone of sequence type 131 (ST131) is the leading cause of multidrug-resistant Escherichia coli infections in the United States (2011–2012). Open Forum Infect Dis 4:ofx089. doi: 10.1093/ofid/ofx089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Mojica M, Bonomo RA, Fast W. 2016. B1-metallo-beta-lactamases: where do we stand? Curr Drug Targets 17:1029–1050. doi: 10.2174/1389450116666151001105622. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.van Duin D, Doi Y. 2017. The global epidemiology of carbapenemase-producing Enterobacteriaceae. Virulence 8:460–469. doi: 10.1080/21505594.2016.1222343. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Levy SB. 1998. Multidrug resistance—a sign of the times. N Engl J Med 338:1376–1378. doi: 10.1056/NEJM199805073381909. [DOI] [PubMed] [Google Scholar]
- 22.Grossman TH. 2016. Tetracycline antibiotics and resistance. Cold Spring Harb Perspect Med 6:a025387. doi: 10.1101/cshperspect.a025387. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Johnston B, Thuras P, Porter S, Anacker M, VonBank B, Vagnone Snippes P, Witwer M, Castanheira M, Johnson J. 2020. Activity of imipenem-relebactam against carbapenem-resistant Escherichia coli isolates from the United States in relation to clonal background, resistance genes, coresistance, and region. Antimicrob Agents Chemother 64:e02408-19. doi: 10.1128/AAC.02408-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Diekema D, Hsueh P-R, Mendes R, Pfaller M, Rolston K, Sader H, Jones R. 2019. The microbiology of bloodstream infection: 20-year trends from the SENTRY antimicrobial surveillance program. Antimicrob Agents Chemother 63:e00355-19. doi: 10.1128/AAC.00355-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Clinical and Laboratory Standards Institute. 2017. M100-S27: Performance standards for antimicrobial susceptibility testing. 27th informational supplement document. Clinical and Laboratory Standards Institute, Wayne, PA. [Google Scholar]
- 26.Clermont O, Christenson JK, Denamur E, Gordon DM. 2013. The Clermont Escherichia coli phylo-typing method revisited: improvement of specificity and detection of new phylo-groups. Environ Microbiol Rep 5:58–65. doi: 10.1111/1758-2229.12019. [DOI] [PubMed] [Google Scholar]
- 27.Johnson JR, Johnston BD, Porter SB, Clabots C, Bender TL, Thuras P, Trott DJ, Cobbold R, Mollinger J, Ferrieri P, Drawz S, Banerjee R. 2019. Rapid emergence, subsidence, and molecular detection of Escherichia coli sequence type 1193-fimH64, a new disseminated multidrug-resistant commensal and extraintestinal pathogen. J Clin Microbiol 57:e01664-18. doi: 10.1128/JCM.01664-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Clermont O, Christenson JK, Daubie A, Gordon DM, Denamur E. 2014. Development of an allele-specific PCR for Escherichia coli B2 sub-typing, a rapid and easy to perform substitute of multilocus sequence typing. J Microbiol Methods 101:24–27. doi: 10.1016/j.mimet.2014.03.008. [DOI] [PubMed] [Google Scholar]
- 29.Johnson JR, Porter S, Thuras P, Castanheira M. 2017. Epidemic emergence in the United States of Escherichia coli sequence type 131-H30 (ST131-H30), 2000 to 2009. Antimicrob Agents Chemother 61:e00732-17. doi: 10.1128/AAC.00732-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Johnson JR, Davis G, Clabots C, Johnston BD, Porter S, Debroy C, Pomputius W, Ender PT, Cooperstock M, Slater BS, Banerjee R, Miller S, Kisiela D, Sokurenko E, Aziz M, Price LB. 2016. Household clustering of Escherichia coli sequence type 131 clinical and fecal isolates according to whole genome sequence analysis. Open Forum Infect Dis 3:ofw129. doi: 10.1093/ofid/ofw129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Saladin M, Cao VT, Lambert T, Donay JL, Herrmann JL, Ould-Hocine Z, Verdet C, Delisle F, Philippon A, Arlet G. 2002. Diversity of CTX-M beta-lactamases and their promoter regions from Enterobacteriaceae isolated in three Parisian hospitals. FEMS Microbiol Lett 209:161–168. doi: 10.1111/j.1574-6968.2002.tb11126.x. [DOI] [PubMed] [Google Scholar]
- 32.Poirel L, Walsh TR, Cuvillier V, Nordmann P. 2011. Multiplex PCR for detection of acquired carbapenemase genes. Diagn Microbiol Infect Dis 70:119–123. doi: 10.1016/j.diagmicrobio.2010.12.002. [DOI] [PubMed] [Google Scholar]
- 33.Pérez-Pérez FJ, Hanson ND. 2002. Detection of plasmid-mediated AmpC beta-lactamase genes in clinical isolates by using multiplex PCR. J Clin Microbiol 40:2153–2162. doi: 10.1128/jcm.40.6.2153-2162.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Campbell I. 2007. Chi-squared and Fisher-Irwin tests of two-by-two tables with small sample recommendations. Stat Med 26:3661–3675. doi: 10.1002/sim.2832. [DOI] [PubMed] [Google Scholar]
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