| Literature DB >> 34054300 |
Jingjing Chen1,2,3, Chang Hu1,2,3, Ruixuan Wang1,2,3, Fushun Li1,2,3, Guoquan Sun1,2,3, Min Yang1,2,3, Yunzhuo Chu1,2,3.
Abstract
OBJECTIVE: To investigate the clinical characteristics and molecular epidemiology of carbapenem-resistant Klebsiella pneumoniae (CRKP) bloodstream infection at a medical center in northeast China, especially after coronavirus disease (COVID-19) pandemic.Entities:
Keywords: KPC-2; carbapenem-resistant Klebsiella pneumoniae; drug resistance; sequence type; virulence
Year: 2021 PMID: 34054300 PMCID: PMC8158045 DOI: 10.2147/IDR.S311968
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.003
Figure 1Basic characteristics of patients with Carbapenem resistant Klebsiella pneumoniae bloodstream infection (CRKP-BSI). (A) Trends in the proportion of CRKP-BSI (red) and CRKP in all Kpn isolates (blue) over six years (2015–2020); (B) number of patients with CRKP-BSI (red) and patients with CRKP from any sample type (blue) by month; (C) distribution of CRKP-BSI among different hospital departments; (D) distribution of CRKP-BSI by age group.
Figure 2Molecular epidemiology of CRKP-BSI. Distribution of carbapenemase genes (A) and sequence types (B) of the CRKP isolates; (C) distribution of sequence types stratified by year.
Clinical Characteristics, Drug Resistance Profiles and Molecular Epidemiology Characteristics of 42 CRKP Isolates
| Isolation No | Gender | Age (Years) | Seperation Date (Year) | Outcomea | AMK | DOX | MIN | SMZ/TMP | CZA | TGC | Carbapenemase Genotype | MLST | Virulence Genes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | M | 63 | 2015 | Survive | R | R | R | R | S | S | – | ST722 | fimH, uge |
| 2 | M | 48 | 2017 | Survive | R | S | S | S | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 3 | M | 54 | 2017 | Die | R | S | S | S | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 4 | M | 54 | 2017 | Die | R | S | S | S | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 5 | F | 37 | 2017 | Die | R | S | S | S | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 6 | M | 63 | 2017 | Die | R | I | R | S | S | I | KPC-2 | ST11 | fimH, uge, ybts |
| 7 | M | 44 | 2017 | Survive | S | R | R | R | R | S | NDM1 | ST35 | fimH, uge, ybts, aeroactin, KfuB |
| 8 | F | 81 | 2017 | Die | R | R | R | R | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 9 | M | 47 | 2017 | Survive | R | S | I | S | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 10 | M | 29 | 2017 | Survive | S | S | S | R | R | S | NDM1 | ST248 | fimH, uge, ybts, aeroactin, KfuB |
| 11 | M | 59 | 2017 | Survive | S | R | R | R | R | S | NDM1 | ST35 | fimH, uge, ybts, aeroactin |
| 12 | M | 17 days | 2017 | Survive | S | R | R | R | R | R | NDM5 | ST20 | fimH, uge, ybts |
| 13 | M | 27 | 2017 | Die | R | S | S | S | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 14 | M | 48 | 2017 | Die | R | S | S | S | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 15 | F | 73 | 2017 | Die | R | R | I | R | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 16 | F | 38 | 2018 | Survive | R | S | S | S | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 17 | M | 36 | 2018 | Survive | R | S | I | S | S | S | KPC-2 | ST11 | fimH, uge, ybts, rmpA |
| 18 | F | 33 | 2018 | Survive | R | S | I | S | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 19 | M | 53 | 2018 | Die | R | S | S | S | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 20 | F | 76 | 2018 | Die | R | S | I | S | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 21 | F | 74 | 2018 | Die | R | I | R | S | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 22 | F | 85 | 2019 | Die | R | R | R | R | S | I | KPC-2 | ST11 | fimH, uge, ybts |
| 23 | M | 59 | 2019 | Survive | R | S | S | S | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 24 | M | 80 | 2019 | Die | R | R | R | R | S | I | KPC-2 | ST11 | fimH, uge, ybts |
| 25 | M | 90 | 2019 | Die | R | S | S | R | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 26 | M | 48 | 2019 | Die | R | S | S | R | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 27 | M | 80 | 2019 | Survive | R | R | R | S | S | S | KPC-2 | ST11 | fimH, uge |
| 28 | M | 50 | 2019 | Die | R | R | R | S | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 29 | M | 87 | 2019 | Die | R | S | S | R | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 30 | F | 47 | 2019 | Die | R | R | R | S | S | I | KPC-2 | ST11 | fimH, uge, ybts |
| 31 | M | 63 | 2020 | Die | R | R | R | R | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 32 | F | 60 | 2020 | Die | R | R | R | R | S | I | KPC-2 | ST11 | fimH, uge, ybts, rmpA |
| 33 | M | 37 | 2020 | Die | S | R | I | S | S | S | KPC-2 | ST15 | fimH, uge, ybts, KfuB |
| 34 | F | 30 | 2020 | Die | R | R | S | S | S | S | KPC-2 | ST11 | fimH, uge, ybts |
| 35 | M | 47 | 2020 | Survive | S | S | S | S | S | S | KPC-2 | ST15 | fimH, uge, ybts, KfuB |
| 36 | M | 62 | 2020 | Die | S | R | S | S | S | S | KPC-2 | ST15 | fimH, uge, ybts, KfuB |
| 37 | F | 31 | 2020 | Die | S | R | R | S | S | S | KPC-2 | ST15 | uge, ybts, KfuB |
| 38 | M | 88 | 2020 | Survive | S | S | S | S | S | S | KPC-2 | ST15 | fimH, uge, ybts, KfuB |
| 39 | M | 78 | 2020 | Survive | S | R | R | S | S | I | KPC-2 | ST15 | fimH, uge, KfuB |
| 40 | M | 62 | 2020 | Survive | S | R | I | S | S | S | KPC-2 | ST15 | fimH, uge, ybts, KfuB |
| 41 | F | 69 | 2020 | Die | S | R | R | S | S | S | KPC-2 | ST15 | fimH, uge, ybts, KfuB |
| 42 | M | 55 | 2020 | Die | S | R | R | S | S | S | KPC-2 | ST15 | fimH, uge, ybts, KfuB |
Note: aSurvive/die within 30 days.
Abbreviations: AMK, amikacin; DOX, doxycycline; MIN, minocycline; SMZ/TMP, sulfamethoxazole/trimethoprim; CZA, ceftazidime/avibactam; TGC, tigecycline.
Figure 3In vitro susceptibilities of the CRKP isolates. (A) Antimicrobial resistance patterns of 42 CRKP isolates; (B) comparison of drug resistance rate between ST11 and ST15 CRKP.
Figure 4Virulence characteristics and clinical outcomes of ST11 and ST15 CRKP strains. (A) Serum killing assay of four representative isolates of ST11 and ST15 CRKP, with a hypervirulent Kpn (hvKP) isolate as the positive control; (B) Kaplan–Meier survival estimates of patients with ST11 (red) and ST15 (blue) CRKP-BSI.