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Article

Bloodstream Infections Caused by Extended-Spectrum Beta-Lactamase-Producing Escherichia coli in Patients with Liver Cirrhosis

1
Division of Gastroenterology and Hepatology, Department of Internal Medicine, Kaohsiung Veterans General Hospital and School of Medicine, National Yang-Ming University, Taipei 112, Taiwan
2
Department of Chemical Engineering and Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung 840, Taiwan
3
Division of Infectious Disease, Department of Internal Medicine, Kaohsiung Veterans General Hospital and School of Medicine, National Yang-Ming University, Taipei 112, Taiwan
4
Graduate Institute of Basic Medical Science, China Medical University and Department of Nursing, National Taipei University of Nursing and Health Sciences, Taipei 112, Taiwan
5
Department of Pediatrics, Kaohsiung Veterans General Hospital and School of Medicine, Kaohsiung 813, Taiwan
6
School of Medicine, National Yang-Ming University, Taipei 112, Taiwan
7
Department of Nursing, Fooyin University, Kaohsiung 831, Taiwan
8
Department of Internal Medicine, National Cheng Kung University Hospital, Tainan 704, Taiwan
9
Department of Medicine, National Cheng Kung University, Tainan 704, Taiwan
*
Authors to whom correspondence should be addressed.
Pathogens 2021, 10(1), 37; https://doi.org/10.3390/pathogens10010037
Submission received: 2 December 2020 / Revised: 31 December 2020 / Accepted: 31 December 2020 / Published: 5 January 2021
(This article belongs to the Special Issue Escherichia coli Infections in Humans and Animals)

Abstract

:
Background: This study aimed to investigate the frequency of sequence type (ST) 131 strains and outcome of cirrhotic patients with bloodstream infections (BSIs) caused by extended-spectrum beta-lactamase-producing Escherichia coli (ESBLEC) and non-extended-spectrum beta-lactamase-producing Escherichia coli (NESBLEC). Methods: The incidence of ST 131 strains, hospital stay, and 30-day re-admission/mortality were compared between 51 ESBLEC and 51 NESBLEC bacteremic patients with cirrhosis. Results: ST 131 strains were found in 35.3% of the ESBLEC group and 0% of the NESBLEC group (p < 0.001). Mean hospital stay was 26.5 days in the ESBLEC group and 17.1 days in the NESBLEC group (p = 0.006). Thirty-day re-admission rates were 11.8% in the ESBLEC group and 5.9% in the NESBLEC group (p = 0.5). ST 131 strains were associated with 30-day re-admission (odds ratio: 4.5, 95% confidence interval: 1.1–18.9). Thirty-day mortality rate was 31.4% in the ESBLEC group and 23.5% in the NESBLEC group (p = 0.4). Conclusion: In patients with cirrhosis, the ESBLEC BSIs group had a higher frequency of ST 131 strains and longer hospital stay than the NESBLEC BSIs group with similar 30-day re-admission/mortality. ST 131 strains were associated with 30-day re-admission.

1. Introduction

Patients with liver cirrhosis are susceptible to bacterial infection with the progression of liver dysfunction [1]. Uncontrolled gastrointestinal bleeding, prolonged hospitalization, acute kidney injury, liver failure, and death are among the consequences of bacterial infection in patients with liver cirrhosis [2,3]. Bloodstream infections (BSIs) affect 4% to 21% of the patients with liver cirrhosis, and the 30-day mortality rate can be up to 29% [4,5]. Management of BSIs is an important issue in the care of patients with liver cirrhosis.
The prevalence of multidrug-resistant bacteria can be up to 46% among Gram-negative pathogens cultured from patients with liver cirrhosis [5]. Extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli (E. coli) (ESBLEC) was the main multidrug-resistant organism identified in patients with liver cirrhosis, which rendered third-generation cephalosporins clinically ineffective and resulted in poor outcomes [6,7]. Recent studies suggested that the increase in resistance to fluoroquinolones and extended-spectrum cephalosporins was linked to the global spread of CTX-M-15-producing sequence type (ST) 131 E. coli, which was first described in 2008 [8]. The ST 131 strains accounted for up to two-thirds of multidrug-resistant E. coli infection [9]. This highly virulent clonal group was responsible for community-acquired bacteremia as well as health-care associated infections [9]. However, ST 131 E. coli infection was rarely evaluated in patients with liver cirrhosis. The objectives of this study were to investigate frequency of ST 131 strains and outcomes in patients with liver cirrhosis and BSIs caused by ESBLEC and NESBLEC.

2. Results

2.1. Epidemiology

A total of 218 patients with liver cirrhosis and E. coli BSIs were identified during the study period (March 2009 to October 2014). Thirteen patients were excluded due to multi-microbial BSIs (2 patients) and isolates collected >72 h after hospitalization (11 patients). Of the 205 patients, 51 patients (24.9%) had ESBLEC BSIs. Another 51 patients with NESBLEC BSIs were randomly selected as the control group. A total of 102 cirrhotic patients were enrolled into this study. The demographic data were similar between both groups, except that more patients in the ESBLEC group had urinary tract infection (UTI) (52.9% vs. 25.5%; p = 0.005) and antimicrobial use within 3 months (43.1% vs. 21.6%; p = 0.02) than the patients in the NESBLEC group (Table 1).
Antimicrobial susceptibility pattern of these E. coli isolates interpreted according to the Clinical and Laboratory Standards Institute guidelines are shown in Table A3 in Appendix A.

2.2. ST Distribution of Isolates and blaCTX-M Gene Study

The multiplex polymerase chain reaction assay identified the ST 131 clonal group in 18 (35.3%) patients of the ESBLEC group and 0 (0%) patient of the NESBLEC group (p < 0.001) (Table 2). Multi-variate logistic regression with firth correction or with conditional exact analysis were performed to estimate extents of associations between ST 131 clones with ESBLEC and other variables. UTI had a firth correction odds ratio (OR) of 3.3 (p = 0.04); ESBLEC had a firth correction OR of 44.2 (p = 0.009) with the lower confidence limit of 2.6 and conditional exact analysis OR of 28.8 (p < 0.0001) with the lower confidence limit of 5.9. These logistic regression results suggested both UTI and ESBLEC were important factors for being positive for ST 131 clones. ST 73 was found in 0 (0%) patients of the ESBLEC group and 5 (9.8%) patients of the NESBLEC group (p = 0.06). ST 95 was identified in 0 (0%) patients of the ESBLEC group and 9 (17.6%) patients of the NESBLEC group (p = 0.003). No ST 69 was identified in the ESBLEC group and NESBLEC group.
Of the strains with identified genotype, phylogenetic analysis revealed less incidence of group B2 strain in the ESBLEC group than in the NESBLEC group (21.6% vs. 41.2%; p = 0.03) (Table 2).
CTX-M group 9 genes were identified in 25 isolates in the ESBLEC group. CTX-M group 1 genes were identified in 18 isolates in the ESBLEC group (Table 2).

2.3. Pulsed-Field Gel Electrophoresis Dendrogram

The dendrogram generated from the Xbal pulsed-field gel electrophoresis profiles was shown in Figure 1 (ESBLEC group) and Figure 2 (NESBLEC group). Using 80% cut-off, there were 33 pulsotypes with 51 ESBLEC isolates. Of the 51 NESBLEC, there were 42 pulsotypes, which showed a great diversity in the pulsed-field gel electrophoresis dendrogram. There were two major clusters (red square) seen in ST 131 strains (black square) (Figure 1). The ST 131 isolates showed more homogeneous pulsotypes than the non-ST 131 isolates.

2.4. Outcome of the Patients

The hospital stay of the index BSIs was 26.5 ± 20.7 days in the ESBLEC group and 17.1 ± 12.3 days in the NESBLEC group (p = 0.006). In total, inappropriate antimicrobial therapy was administered in 40 (78.4%) of ESBLEC group patients and 8 (15.7%) of NESBLEC group patients (p < 0.001). Re-admission due to infection within 30 days was noticed in six patients (11.8%) in the ESBLEC group and three patients (5.9%) in the NESBLEC group (p = 0.5). ST 131 clone was the only factor associated with re-admission due to infection within 30 days (OR: 4.5, 95% confidence interval (CI): 1.1–18.9).
The 30-day mortality rate was 16 patients (31.4%) in the ESBLEC group and 12 patients (23.5%) in the NESBLEC group (p = 0.4). The causes of mortality of the patients are shown in Table 3.
At univariate Cox regression analysis, male gender (OR: 0.4, 95% CI: 0.2–0.9, p = 0.04), MELD score (OR: 1.1, 95% CI: 1.1–1.2, p < 0.001), spontaneous bacterial peritonitis (OR: 3.3, 95% CI: 1.5–7.3, p = 0.003), UTI (OR: 0.2, 95% CI: 0.08–0.6, p = 0.005), and inappropriate antimicrobial therapy within 24 h (OR: 2.5, 95% CI: 1.1–5.6, p = 0.02) were found to be associated with 30-day mortality. Multi-variate Cox regression analysis found that MELD score (OR: 1.1, 95% CI: 1.1–1.2, p < 0.001) and inappropriate antimicrobial therapy within 24 h (OR: 2.5, 95% CI: 1.1–5.5, p = 0.03) were significantly associated with 30-day mortality (Table 4). UTI (OR: 0.3, 95% CI: 0.1–0.8, p = 0.02) was a protective factor for 30-day mortality.

3. Discussion

This study compared the molecular characteristics and outcome between BSIs caused by ESBLEC and NESBLEC in patients with liver cirrhosis. We found that ST 131 clones were more prevalent in the ESBLEC group. MELD score and inappropriate antimicrobial therapy within 24 h were significantly associated with 30-day mortality. ESBLEC was not associated with a higher mortality but was associated with a longer stay in the hospital. These results were able to provide better knowledge about the management of patients with liver cirrhosis and BSIs caused by ESBLEC.
ESBL-producing bacteria was present in 48% of BSIs due to E. coli in liver cirrhosis patients [10]. Health care exposure, urinary catheter use, previous antimicrobial therapy, a longer duration of hospital stay, impaired consciousness, histamine-2 blocker use, and immunosuppression were reported to be the risk factors for BSIs due to ESBLEC in different populations [7,11,12]. We found that UTI and use of antimicrobials within 3 months was associated with ESBLEC BSIs in patients with liver cirrhosis, which was similar to the previous studies [12,13,14]. ST 131 dominated among ESBLEC from human blood isolates (64%) in UK [15]. However, ST 131 E. coli infection has been rarely investigated in patients with liver cirrhosis, although this virulent strain spreads worldwide. In a cohort of patients with spontaneous bacterial peritonitis [16], ST 131 was found in 2.7% of the cases, which is too few to evaluate the impact of ST 131 clone. ST 131 strains can efficiently colonize gut and persist long term [17], which may lead to invasive disease in cirrhosis.
Our cohort, focusing on all bacteremia patients with liver cirrhosis, found that UTI was associated with the ST 131 clone. This result corresponds with the capacity of antibiotic resistant ST 131 to produce numerous virulence factors associated with UTI [18]. These findings indicated that ST 131 infection should be considered in patients with liver cirrhosis presenting with UTI caused by ESBLEC. Furthermore, positivity for the virulence genes iha, hlyD, sat, iutA, fyuA, malX, ompT, and traT was associated with ST 131 [19]. ST 131 clones were associated with a higher risk of re-admission due to infection. The result corresponded to the study by Johnson et al., which showed that ST 131 clones were associated with subsequent hospital admission and new infection [20]. We did not know whether the higher re-admission rate in the patients infected with ST 131 strains was due to the higher antimicrobial resistance or the higher risk of prolonged bacterial colonization [17,21]. Meanwhile, the possible superinfection of ST 131 clones after the use of broad-spectrum antibiotics such as carbapenem could not be excluded and deserves further investigation for carbapenemase-ESBL-producing Escherichia coli isolates [22]. A strategy to control the dissemination of these E. coli strains with multiple resistance genes is mandatory.
The 30-day mortality rate was similar between the ESBLEC group and NESBLEC group in our study, which was close to the previous reports of BSIs in patients with liver cirrhosis [5,23]. The MELD score and inappropriate antimicrobial therapy within 24 h were associated with the 30-day mortality, while infectious source from urinary tract was negatively associated with 30-day mortality. Patients with advanced liver cirrhosis had increased mortality due to BSIs [24,25]. An E. coli bacteremia multicenter study in France showed host factors and the portal of entry exceed bacterial determinants for predicting E. coli bacteremia severity [26]. In cirrhotic patients with spontaneous bacterial peritonitis or bacteremia, some experts suggest empirical use of carbapenems in areas with high prevalence of ESBLEC [27]. Delay in adequate antimicrobial use was found to result in an adverse mortality outcome in BSIs caused by ESBLEC [28]. In our study, the longer hospital stays in the ESBLEC group was probably attributable to the fact that more ESBLEC group patients needed adjustment of antimicrobial therapy. In the case of spontaneous bacterial peritonitis, ESBL-producing E. coli and Klebsiella species resulted in a worse prognosis than non-ESBL-producing species [6]. However, ESBL-producers did not lead to a worse outcome in our cohort. It is noteworthy that urosepsis caused by ESBLEC had a favorable outcome [29]. The survival was possibly determined by the nature of sepsis because ESBLEC was more frequently associated with UTI, and NESBLEC was more frequently associated with intra-abdominal infection. Similarly, primary urinary tract infection was identified as a protective factor in a previous Korean bacteremia cohort [30].
There were limitations in this study. First, selection bias did exist because of the inherent nature of a retrospective study. Second, the Clinical and Laboratory Standards Institute 2009 breakpoints were used to screen the ESBL producers to maintain the consistency throughout the study period. The incidence of ESBL-producing E. coli could have been underestimated, because the MIC ranges for cephalosporins to Enterobacterales were changed to a great extent in the Clinical and Laboratory Standards Institute 2011 criteria. Finally, this study was conducted in a blaCTX-M-14 predominant area, and the results should be interpreted cautiously because of the geographic diversity of E. coli strains with variable virulence and resistance genes.

4. Materials and Methods

4.1. Antimicrobial Susceptibility Testing

Positive blood culture isolates were sub-cultured to a blood agar plate, and the inoculated plates were incubated at 35 °C in 5% CO2 to enable bacterial colonies to develop. After overnight incubation, a standardized inoculum was transferred from the agar medium to perform antimicrobial susceptibility testing with a VITEK 2 automated system 2 (Vitek AMS; bioMérieux Vitek Systems Inc., Hazelwood, MO, USA) using ID-GN and AST-N277 cards (Durham, NC, USA). The antimicrobial susceptibility testing card AST-N277 was used to test the ESBL producers and antimicrobial susceptibility. Intermediate susceptibility was considered as resistance to antimicrobial therapy. The breakpoints of antimicrobial agents and ESBL definition were determined according to the Clinical and Laboratory Standards Institute standards (CLSI M100-S19, 2009) [31].

4.2. Detection of ST131 and blaCTX-M Gene Groups

After retrospective chart review for inclusion and exclusion criteria, polymerase chain reaction and sequencing were performed in March 2016 using a T100TM thermal cycler (Bio-Rad, Hercules, CA, USA). A multiplex polymerase chain reaction assay was used to detect phylogenetic group [32] and ST 69, 73, and 95 in addition to ST 131 [33]. These 4 lineages are the most common ST associated with urinary tract infections and bloodstream infections [34]. Phylogenetic group of the isolates was determined by triplex polymerase chain reaction using a combination of two genes (chuA and yjaA) and an anonymous DNA fragment. The positive and negative control used isolates confirmed by MLST described in our previous work [35]. The primers for PCR amplification and sequencing of the housekeeping genes (adk, fumC, gyrB, icd, mdh, purA, and recA) were synthesized from a commercial company (Genomics Biotech Corp. New Taipei City Taipei, Taiwan) according to the primer sequences given on the E. coli MLST database website (https://enterobase.warwick.ac.uk/species/ecoli/allele_st_search). Genotypes of CTX-M-type ESBLs, i.e., blaCTX-M groups 1, 2, and 9, were identified by a multiplex polymerase chain reaction assay using specific primers as previously described [36,37]. A specific polymerase chain reaction assay was performed to detect the common group 9 variant (CTX-M-14) and group 1 variant (CTX-M-15) [38,39]. The primers used in the genetic study are shown in Table A1 in Appendix A.

4.3. XbaI Pulsed-Field Gel Electrophoresis Dendrogram and Phylogenetic Analysis

The clonal relationships between the isolates were determined by pulsed-field gel electrophoresis of XbaI-digested genomic DNA [40]. The GelCompar software package (version 6.0; Applied Maths, Bionumerics) was used to compare the banding patterns of aggregated data. The strains exhibiting 80% similarity in the banding pattern were considered as having similar or identical electrokaryotypes.

4.4. Statistical Analysis

The demographic data of the ESBLEC group and the NESBLEC group patients were expressed as frequency or means with standard deviations. Categorical data were compared using chi-square or Fisher’s exact tests when appropriate. Continuous variables with normal distributions were compared using independent Student’s t test. Continuous variables without normal distributions were compared using Mann–Whitney U test. Logistic regression analysis was used to examine the risk factor for ST 131. Cox proportional hazard regression model were constructed to analyze the relationship between the variables and mortality. Significance was defined as p < 0.05 for all two-tailed tests. All statistical analyses were performed using the SPSS statistical software package, version 17.0 for Windows (SPSS Inc., Chicago, IL, USA).

5. Conclusions

In conclusion, in patients with cirrhosis, ESBLEC BSIs group had a higher frequency of ST 131 strains and longer hospital stay than NESBLEC BSIs group with a similar 30-day re-admission and mortality. ST 131 strains were associated with 30-day re-admission. Inadequate antimicrobial therapy and the severity of liver cirrhosis were associated with 30-day mortality. These findings indicated that ESBLEC BSIs should be considered in patients with cirrhosis and UTI or a history of antimicrobials use. Early appropriate antimicrobial therapy should be administered to shorten the hospital stay and reduce the short-term mortality.

6. Patients

The study protocol conformed to the ethical guidelines of the 1975 Declaration of Helsinki (6th revision, 2008), as reflected in a priori approval by Institutional Review Board of Kaohsiung Veterans General Hospital (VGHKS14-CT11-01). The need for informed consent was waived off by Institutional Review Board of Kaohsiung Veterans General Hospital. The results of this study were presented in part at the 2016 APASL single topic conference on hepatitis C.
From March 2009 to October 2014, all isolates of E. coli cultured from bloodstream of patients with liver cirrhosis were tested for ESBLs at Kaohsiung Veterans General Hospital, a 1700-bed medical center in southern Taiwan that provided both primary and tertiary health care. The inclusion criteria were (1) patients aged ≥18 years; (2) previous diagnosis of liver cirrhosis; (3) a blood culture that grew out ESBLEC or NESBLEC; and (4) ESBLEC or NESBLEC strains isolated from the first time of BSIs. Patients with BSIs collected >72 h after hospitalization and polymicrobial bacteremia were excluded from the study. Each qualified cirrhotic patient with ESBLEC bacteremia was randomly matched with a cirrhotic patient with NESBLEC bacteremia admitted during the same period at a 1:1 ratio. A structured data collection form was used to evaluate the patients, and information on their clinical course was obtained from medical records. Demographic data including age, gender, concomitant diseases, clinical characteristics, laboratory findings, sources of BSIs, antimicrobial susceptibilities, antimicrobial therapy, and 30-day outcomes were collected for each patient.
Liver cirrhosis was diagnosed on the basis of a previous liver biopsy or clinical, biochemical, ultrasonography, computed tomography, or magnetic resonance imaging findings. A model for end-stage liver disease (MELD) score was determined as previously reported [32,41]. A positive blood culture with ESBLEC or NESBLEC was considered to be BSIs caused by ESBLEC or NESBLEC. Spontaneous bacterial peritonitis was defined according to the clinical practice guidelines of EASL [42]. The sources of BSIs were determined following the definition by the Centers for Disease Control and Prevention in 2008 [43]. Inappropriate antimicrobial therapy was defined as lack of sensitive antimicrobial therapy administration within 24 h after the onset of BSIs.
Appropriate specimens including blood, urine, sputum, and ascites were obtained for culture. The attending physicians made all of the decisions regarding antimicrobial therapy before or after the results of the susceptibility tests. The initial antimicrobials were mostly selected empirically. Defervescence within 48 h after the initiation of antimicrobial therapy and a negative blood culture was considered as a response to antimicrobial therapy.

Author Contributions

Conceptualization, W.-C.C., C.-H.H. and J.-L.W. Methodology, C.-H.H.; validation, Y.-S.C., J.-S.C. and S.S.-J.L.; formal analysis, F.-C.T., M.-F.C. and J.-L.W.; investigation, W.-C.C. and J.-S.C.; resources, M.-F.C.; data curation, W.-C.C.; writing—original draft preparation, W.-C.C. and J.-L.W.; writing—review and editing, C.-H.H.; supervision, Y.-S.C.; funding acquisition, W.-C.C. and M.-F.C. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by a research grant from Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (VGHKS 104-025, VGHKS 109-109), and the Ministry of Science and Technology, Taiwan (MOST 107-2314-B-075B-081-004 and 108-2314-B-075B-002-MY3).

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board of Kaohsiung Veterans General Hospital (protocol code VGHKS14-CT11-01 and date of approval: 15 July 2015).

Data Availability Statement

The data presented in this study are contained within the article or Appendix A.

Acknowledgments

The authors thank Ja-Ling Chia for her assistance in preparing the manuscript.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Appendix A

Table A1. Primers used in this study.
Table A1. Primers used in this study.
Gene/CTX-MPrimer Primer Sequences
Multi locus sequence typingadk F5′-ATTCTGCTTGGCGCTCCGGG-3′
adk R5′-CCGTCAACTTTCGCGTATTT-3′
fumC F5′-TCACAGGTCGCCAGCGCTTC-3′
fumC R5′-GTACGCAGCGAAAAAGATTC-3′
icd F5′-ATGGAAAGTAAAGTAGTTGTTCCGGCACA-3′
icd R5′-GGACGCAGCAGGATCTGTT-3′
purA F5′-CGCGCTGATGAAAGAGATGA-3′
purA R5′-CATACGGTAAGCCACGCAGA-3′
gyrB F5′-TCGGCGACACGGATGACGGC-3′
gyrB R5′-GTCCATGTAGGCGTTCAGGG-3′
recA F5′-CGCATTCGCTTTACCCTGACC-3′
recA R5′-TCGTCGAAATCTACGGACCGGA-3′
mdh F5′-ATGAAAGTCGCAGTCCTCGGCGCTGCTGGCGG-3′
mdh R5′-TTAACGAACTCCTGCCCCAGAGCGATATCTTTCTT -3′
Phylogenetic groupchuA F5′-GACGAACCAACGGTCAGGAT-3′
chuA R5′-TGCCGCCAGTACCAAAGACA-3′
yjaA F5′-TGAAGTGTCAGGAGACGCTG-3′
yjaA R5′-ATGGAGAATGCGTTCCTCAAC-3′
TspE4C2 F5′- GAGTAATGTCGGGGCATTCA-3′
TspE4C2 R5′- CGCGCCAACAAAGTATTACG-3′
Pan CTX-MPan CTX-M F5′-ATGTGCAGYACCAGTAARGTKATGGC-3′
Pan CTX-M R5′-TGGGTRAARTARGTSACCAGAAYSAGCGG-3′
CTX-M-group-1CTX-M-group-1 F5′-GCSaATGTGCAGCACCAGTAA-3′
CTX-M-group-1 R5′-ACAAACCGTYaGGTGACGATT-3′
CTX-M-group-2CTX-M-group-2 F5′-CTCAATANCGCCATTCCAGG-3′
CTX-M-group-2 R5′-CCGTGGGTTACGATTT-3′
CTX-M-group-8CTX-M-group-8 F5′-TGATGAGACATCGCGTTAAG-3′
CTX-M-group-8 R5′-TAACCGTCGGTGACGATTTT-3′
CTX-M-group-9CTX-M-group-9 F5′-GCTGGAGAAAAGCAGCGGAG-3′
CTX-M-group-9 R5′-CCAGCGTCAGATTTTTCAGG-3′
CTX-M-3CTX-M-3 F5′-AATCACTGCGCCAGTTCACGCT-3′
CTX-M-3 R5′-GAACGTTTCGTCTCCCAGCTGT-3′
CTX-M-14CTX-M-14 F5′-TACCGCAGATAATACGCAGGTG-3′
CTX-M-14 R5′-CAGCGTAGGTTCAGTGCGATCC-3′
CTX-M-15CTX-M-15 F5′-CACACGTGGAATTTAGGGACT-3′
CTX-M-15 R5′-GCCGTCTAAGGCGATAAACA-3′
Table A2. Resistance rates of isolates in 102 patients with liver cirrhosis and bacteremia caused by ESBLEC and NESBLEC.
Table A2. Resistance rates of isolates in 102 patients with liver cirrhosis and bacteremia caused by ESBLEC and NESBLEC.
AntimicrobialsESBLEC (n = 51)NESBLEC (n = 51)p Value
Amikacin120<0.001
Gentamicin358<0.001
Ciprofloxacin4210<0.001
Imipenem001.0
Ampicillin–sulbactam4626<0.001
Cefoxitin27100.001
TMP–SMZ a33230.04
Tigecycline 101.0
Minocycline15210.2
Ciprofloxacin and TMP–SMZ a266<0.001
Ciprofloxacin and gentamicin294<0.001
TMP–SMZ a and gentamicin235<0.001
a TMP–SMZ: trimethoprim–sulfamethoxazole.
Table A3. Resistance rates of sequence type 131 and non-sequence type 131 isolates in the 102 patients with liver cirrhosis and bacteremia caused by ESBLEC and NESBLEC.
Table A3. Resistance rates of sequence type 131 and non-sequence type 131 isolates in the 102 patients with liver cirrhosis and bacteremia caused by ESBLEC and NESBLEC.
ESBLEC NESBLEC
AntimicrobialsST 131 a
(n = 18)
Non-ST 131 a
(n = 33)
p ValueST 131 a
(n = 0)
Non-ST 131 b
(n = 51)
p Value
Amikacin1110.04NA0NA
Gentamicin9260.03NA8NA
Ciprofloxacin17250.09NA10NA
Imipenem001.0NA0NA
Ampicillin–sulbactam16300.8NA26NA
Cefoxitin6210.04NA10NA
TMP–SMZ b8250.03NA23NA
Tigecycline 011.0NA0NA
Minocycline015<0.001NA21NA
Ciprofloxacin and TMP–SMZ b7190.2NA6NA
Ciprofloxacin and gentamicin8210.2NA4NA
TMP–SMZ b and gentamicin221<0.001NA5NA
a ST131: sequence type 131. b TMP–SMZ: trimethoprim–sulfamethoxazole.

References

  1. Fernández, J.; Navasa, M.; Gómez, J.; Colmenero, J.; Vila, J.; Arroyo, V.; Rodés, J. Bacterial infections in cirrhosis: Epidemiological changes with invasive procedures and norfloxacin prophylaxis. Hepatology 2002, 35, 140–148. [Google Scholar] [CrossRef] [PubMed]
  2. Bajaj, J.S.; O’Leary, J.G.; Wong, F.; Reddy, K.R.; Kamath, P.S. Bacterial infections in end-stage liver disease: Current challenges and future directions. Gut 2012, 61, 1219–1225. [Google Scholar] [CrossRef] [PubMed]
  3. Goulis, J.; Armonis, A.; Patch, D.; Sabin, C.; Greenslade, L.; Burroughs, A.K. Bacterial infection is independently associated with failure to control bleeding in cirrhotic patients with gastrointestinal hemorrhage. Hepatology 1998, 27, 1207–1212. [Google Scholar] [CrossRef] [PubMed]
  4. Leber, B.; Spindelboeck, W.; Stadlbauer, V. Infectious complications of acute and chronic liver disease. Semin. Respir. Crit. Care Med. 2012, 33, 80–95. [Google Scholar] [CrossRef]
  5. Bartoletti, M.; Giannella, M.; Caraceni, P.; Domenicali, M.; Ambretti, S.; Tedeschi, S.; Verucchi, G.; Badia, L.; Lewis, R.E.; Bernardi, M.; et al. Epidemiology and outcomes of bloodstream infection in patients with cirrhosis. J. Hepatol. 2014, 61, 51–58. [Google Scholar] [CrossRef] [PubMed]
  6. Song, K.H.; Jeon, J.H.; Park, W.B.; Park, S.W.; Kim, H.B.; Oh, M.D.; Lee, H.S.; Kim, N.J.; Choe, K.W. Clinical outcomes of spontaneous bacterial peritonitis due to extended-spectrum beta-lactamase-producing Escherichia coli and Klebsiella species: A retrospective matched case-control study. BMC Infect. Dis. 2009, 9, 41. [Google Scholar] [CrossRef] [Green Version]
  7. Rodriguez-Bano, J.; Picon, E.; Gijon, P.; Hernandez, J.R.; Ruiz, M.; Pena, C.; Almela, M.; Almirante, B.; Grill, F.; Colomina, J.; et al. Community-onset bacteremia due to extended-spectrum beta-lactamase-producing Escherichia coli: Risk factors and prognosis. Clin. Infect. Dis. 2010, 50, 40–48. [Google Scholar] [CrossRef] [Green Version]
  8. Nicolas-Chanoine, M.H.; Blanco, J.; Leflon-Guibout, V.; Demarty, R.; Alonso, M.P.; Canica, M.M.; Park, Y.J.; Lavigne, J.P.; Pitout, J.; Johnson, J.R. Intercontinental emergence of Escherichia coli clone O25:H4-ST131 producing CTX-M-15. J. Antimicrob. Chemother. 2008, 61, 273–281. [Google Scholar] [CrossRef] [Green Version]
  9. Banerjee, R.; Johnson, J.R. A new clone sweeps clean: The enigmatic emergence of Escherichia coli sequence type 131. Antimicrob. Agents Chemother. 2014, 58, 4997–5004. [Google Scholar] [CrossRef] [Green Version]
  10. Tu, B.; Bi, J.; Wu, D.; Zhao, P.; Shi, L.; Xie, Y.; Zhang, X.; Xu, Z.; Liu, S.; Wang, X.; et al. Bloodstream infection due to Escherichia coli in liver cirrhosis patients: Clinical features and outcomes. Oncotarget 2017, 9, 35780–35789. [Google Scholar] [CrossRef] [Green Version]
  11. Rodríguez-Baño, J.; Picón, E.; Gijón, P.; Hernández, J.R.; Cisneros, J.M.; Peña, C.; Almela, M.; Almirante, B.; Grill, F.; Colomina, J.; et al. Risk factors and prognosis of nosocomial bloodstream infections caused by extended-spectrum-beta-lactamase-producing Escherichia coli. J. Clin. Microbiol. 2010, 48, 1726–1731. [Google Scholar] [CrossRef] [Green Version]
  12. Hsieh, C.J.; Shen, Y.H.; Hwang, K.P. Clinical implications, risk factors and mortality following community-onset bacteremia caused by extended-spectrum beta-lactamase (ESBL) and non-ESBL producing Escherichia coli. J. Microbiol. Immunol. Infect. 2010, 43, 240–248. [Google Scholar] [CrossRef] [Green Version]
  13. Wu, U.I.; Yang, C.S.; Chen, W.C.; Chen, Y.C.; Chang, S.C. Risk factors for bloodstream infections due to extended-spectrum beta-lactamase-producing Escherichia coli. J. Microbiol. Immunol. Infect. 2010, 43, 310–316. [Google Scholar] [CrossRef] [Green Version]
  14. Courpon-Claudinon, A.; Lefort, A.; Panhard, X.; Clermont, O.; Dornic, Q.; Fantin, B.; Mentre, F.; Wolff, M.; Denamur, E.; Branger, C.; et al. Bacteraemia caused by third-generation cephalosporin-resistant Escherichia coli in France: Prevalence, molecular epidemiology and clinical features. Clin. Microbiol. Infect. 2011, 17, 557–565. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Day, M.J.; Hopkins, K.L.; Wareham, D.W.; Toleman, M.A.; Elviss, N.; Randall, L.; Teale, C.; Cleary, P.; Wiuff, C.; Doumith, M.; et al. Extended-spectrum β-lactamase-producing Escherichia coli in human-derived and foodchain-derived samples from England, Wales, and Scotland: An epidemiological surveillance and typing study. Lancet Infect. Dis. 2019, 19, 1325–1335. [Google Scholar] [CrossRef] [Green Version]
  16. Bert, F.; Johnson, J.R.; Ouattara, B.; Leflon-Guibout, V.; Johnston, B.; Marcon, E.; Valla, D.; Moreau, R.; Nicolas-Chanoine, M.H. Genetic diversity and virulence profiles of Escherichia coli isolates causing spontaneous bacterial peritonitis and bacteremia in patients with cirrhosis. J. Clin. Microbiol. 2010, 48, 2709–2714. [Google Scholar] [CrossRef] [Green Version]
  17. Sarkar, S.; Hutton, M.L.; Vagenas, D.; Ruter, R.; Schüller, S.; Lyras, D.; Schembri, M.A.; Totsika, M. Intestinal Colonization Traits of Pandemic Multidrug-Resistant Escherichia coli ST131. J. Infect. Dis. 2018, 218, 979–990. [Google Scholar] [CrossRef] [Green Version]
  18. Totsika, M.; Beatson, S.A.; Sarkar, S.; Phan, M.D.; Petty, N.K.; Bachmann, N.; Szubert, M.; Sidjabat, H.E.; Paterson, D.L.; Upton, M.; et al. Insights into a multidrug resistant Escherichia coli pathogen of the globally disseminated ST131 lineage: Genome analysis and virulence mechanisms. PLoS ONE 2011, 6, e26578. [Google Scholar] [CrossRef] [Green Version]
  19. Hung, W.T.; Cheng, M.F.; Tseng, F.C.; Chen, Y.S.; Shin-Jung Lee, S.; Chang, T.H.; Lin, H.H.; Hung, C.H.; Wang, J.L. Bloodstream infection with extended-spectrum beta-lactamase-producing Escherichia coli: The role of virulence genes. J. Microbiol. Immunol. Infect. 2019, 52, 947–955. [Google Scholar] [CrossRef]
  20. Johnson, J.R.; Thuras, P.; Johnston, B.D.; Weissman, S.J.; Limaye, A.P.; Riddell, K.; Scholes, D.; Tchesnokova, V.; Sokurenko, E. The Pandemic H30 Subclone of Escherichia coli Sequence Type 131 Is Associated With Persistent Infections and Adverse Outcomes Independent From Its Multidrug Resistance and Associations With Compromised Hosts. Clin. Infect. Dis. 2016, 62, 1529–1536. [Google Scholar] [CrossRef] [Green Version]
  21. Overdevest, I.; Haverkate, M.; Veenemans, J.; Hendriks, Y.; Verhulst, C.; Mulders, A.; Couprie, W.; Bootsma, M.; Johnson, J.; Kluytmans, J. Prolonged colonisation with Escherichia coli O25:ST131 versus other extended-spectrum beta-lactamase-producing E. coli in a long-term care facility with high endemic level of rectal colonisation, the Netherlands, 2013 to 2014. Eurosurveillance 2016, 21. [Google Scholar] [CrossRef]
  22. Meziani, M.M.; Benlabed, K.; Bogaerts, P.; Glupczynski, Y. The first report of the coproduction of CMY-16 and ArmA 16S rRNA methylases in carbapenemase-ESBL producing Escherichia coli isolates. Eur. J. Biol. Res. 2020, 10, 96–104. [Google Scholar]
  23. Thulstrup, A.M.; Sørensen, H.T.; Schønheyder, H.C.; Møller, J.K.; Tage-Jensen, U. Population-based study of the risk and short-term prognosis for bacteremia in patients with liver cirrhosis. Clin. Infect. Dis. 2000, 31, 1357–1361. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Chen, S.Y.; Tsai, C.L.; Lin, C.H.; Lee, C.C.; Chiang, W.C.; Wang, J.L.; Ma, M.H.; Chen, S.C.; Chen, W.J.; Chang, S.C. Impact of liver cirrhosis on mortality in patients with community-acquired bacteremia. Diagn. Microbiol. Infect. Dis. 2009, 64, 124–130. [Google Scholar] [CrossRef] [PubMed]
  25. Xie, Y.; Tu, B.; Zhang, X.; Bi, J.; Shi, L.; Zhao, P.; Chen, W.; Liu, S.; Xu, D.; Qin, E. Investigation on outcomes and bacterial distributions of liver cirrhosis patients with gram-negative bacterial bloodstream infection. Oncotarget 2017, 9, 3980–3995. [Google Scholar] [CrossRef] [Green Version]
  26. Lefort, A.; Panhard, X.; Clermont, O.; Woerther, P.L.; Branger, C.; Mentre, F.; Fantin, B.; Wolff, M.; Denamur, E.; Group, C. Host factors and portal of entry outweigh bacterial determinants to predict the severity of Escherichia coli bacteremia. J. Clin. Microbiol. 2011, 49, 777–783. [Google Scholar] [CrossRef] [Green Version]
  27. Acevedo, J. Multiresistant bacterial infections in liver cirrhosis: Clinical impact and new empirical antibiotic treatment policies. World J. Hepatol. 2015, 7, 916–921. [Google Scholar] [CrossRef]
  28. Schwaber, M.J.; Carmeli, Y. Mortality and delay in effective therapy associated with extended-spectrum beta-lactamase production in Enterobacteriaceae bacteraemia: A systematic review and meta-analysis. J. Antimicrob. Chemother. 2007, 60, 913–920. [Google Scholar] [CrossRef] [Green Version]
  29. Lee, J.C.; Lee, N.Y.; Lee, H.C.; Huang, W.H.; Tsui, K.C.; Chang, C.M.; Lee, C.C.; Chen, P.L.; Wu, C.J.; Hsueh, P.R.; et al. Clinical characteristics of urosepsis caused by extended-spectrum beta-lactamase-producing Escherichia coli or Klebsiella pneumonia and their emergence in the community. J. Microbiol. Immunol. Infect. 2012, 45, 127–133. [Google Scholar] [CrossRef] [Green Version]
  30. Yoon, E.-J.; Choi, M.H.; Park, Y.S.; Lee, H.S.; Kim, D.; Lee, H.; Shin, K.S.; Shin, J.H.; Uh, Y.; Kim, Y.A.; et al. Impact of host-pathogen-treatment tripartite components on early mortality of patients with Escherichia coli bloodstream infection: Prospective observational study. EBioMedicine 2018, 35, 76–86. [Google Scholar] [CrossRef] [Green Version]
  31. Tsai, W.L.; Hung, C.H.; Chen, H.A.; Wang, J.L.; Huang, I.F.; Chiou, Y.H.; Chen, Y.S.; Lee, S.S.; Hung, W.Y.; Cheng, M.F. Extended-spectrum beta-lactamase-producing Escherichia coli bacteremia: Comparison of pediatric and adult populations. J. Microbiol. Immunol. Infect. 2018, 51, 723–731. [Google Scholar] [CrossRef]
  32. Clermont, O.; Bonacorsi, S.; Bingen, E. Rapid and simple determination of the Escherichia coli phylogenetic group. Appl. Environ. Microbiol. 2000, 66, 4555–4558. [Google Scholar] [CrossRef] [Green Version]
  33. Doumith, M.; Day, M.; Ciesielczuk, H.; Hope, R.; Underwood, A.; Reynolds, R.; Wain, J.; Livermore, D.M.; Woodford, N. Rapid identification of major Escherichia coli sequence types causing urinary tract and bloodstream infections. J. Clin. Microbiol. 2015, 53, 160–166. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Riley, L.W. Pandemic lineages of extraintestinal pathogenic Escherichia coli. Clin. Microbiol. Infect. 2014, 20, 380–390. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Chung, H.C.; Lai, C.H.; Lin, J.N.; Huang, C.K.; Liang, S.H.; Chen, W.F.; Shih, Y.C.; Lin, H.H.; Wang, J.L. Bacteremia caused by extended-spectrum-β-lactamase-producing Escherichia coli sequence type ST131 and non-ST131 clones: Comparison of demographic data, clinical features, and mortality. Antimicrob. Agents Chemother. 2012, 56, 618–622. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Pitout, J.D.; Hossain, A.; Hanson, N.D. Phenotypic and molecular detection of CTX-M-beta-lactamases produced by Escherichia coli and Klebsiella spp. J. Clin. Microbiol. 2004, 42, 5715–5721. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Belmar Campos, C.; Fenner, I.; Wiese, N.; Lensing, C.; Christner, M.; Rohde, H.; Aepfelbacher, M.; Fenner, T.; Hentschke, M. Prevalence and genotypes of extended spectrum beta-lactamases in Enterobacteriaceae isolated from human stool and chicken meat in Hamburg, Germany. Int. J. Med. Microbiol. 2014, 304, 678–684. [Google Scholar] [CrossRef]
  38. Chia, J.H.; Chu, C.; Su, L.H.; Chiu, C.H.; Kuo, A.J.; Sun, C.F.; Wu, T.L. Development of a multiplex PCR and SHV melting-curve mutation detection system for detection of some SHV and CTX-M beta-lactamases of Escherichia coli, Klebsiella pneumoniae, and Enterobacter cloacae in Taiwan. J. Clin. Microbiol. 2005, 43, 4486–4491. [Google Scholar] [CrossRef] [Green Version]
  39. Sidjabat, H.E.; Paterson, D.L.; Adams-Haduch, J.M.; Ewan, L.; Pasculle, A.W.; Muto, C.A.; Tian, G.B.; Doi, Y. Molecular epidemiology of CTX-M-producing Escherichia coli isolates at a tertiary medical center in western Pennsylvania. Antimicrob. Agents Chemother. 2009, 53, 4733–4739. [Google Scholar] [CrossRef] [Green Version]
  40. Gautom, R.K. Rapid pulsed-field gel electrophoresis protocol for typing of Escherichia coli O157:H7 and other gram-negative organisms in 1 day. J. Clin. Microbiol. 1997, 35, 2977–2980. [Google Scholar] [CrossRef] [Green Version]
  41. Kamath, P.S.; Wiesner, R.H.; Malinchoc, M.; Kremers, W.; Therneau, T.M.; Kosberg, C.L.; D’Amico, G.; Dickson, E.R.; Kim, W.R. A model to predict survival in patients with end-stage liver disease. Hepatology 2001, 33, 464–470. [Google Scholar] [CrossRef] [PubMed]
  42. European Association for the Study of the Liver. EASL clinical practice guidelines on the management of ascites, spontaneous bacterial peritonitis, and hepatorenal syndrome in cirrhosis. J. Hepatol. 2010, 53, 397–417. [Google Scholar] [CrossRef] [PubMed]
  43. Horan, T.C.; Andrus, M.; Dudeck, M.A. CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting. Am. J. Infect. Control 2008, 36, 309–332. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Dendrogram generated from the Xbal pulsed-field gel electrophoresis profiles in ESBL isolates.
Figure 1. Dendrogram generated from the Xbal pulsed-field gel electrophoresis profiles in ESBL isolates.
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Figure 2. Dendrogram generated from the Xbal pulsed-field gel electrophoresis profiles in non-ESBL isolates.
Figure 2. Dendrogram generated from the Xbal pulsed-field gel electrophoresis profiles in non-ESBL isolates.
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Table 1. Demographic data of patients with liver cirrhosis and bacteremia caused by extended-spectrum beta-lactamase Escherichia coli and non-extended-spectrum beta-lactamase Escherichia coli.
Table 1. Demographic data of patients with liver cirrhosis and bacteremia caused by extended-spectrum beta-lactamase Escherichia coli and non-extended-spectrum beta-lactamase Escherichia coli.
VariablesESBLEC (n = 51)NESBLEC (n = 51)p Value
Age (year)69.1 ± 13.867.3 ± 13.70.5
Male gender27 (52.9%)26 (55.6%)0.8
Etiology of cirrhosis
Hepatitis B13 (25.5%)16 (17.7%)0.5
Hepatitis C23 (45.1%)23 (45.1%)1.0
Alcohol11 (21.6%)10 (19.6%)0.8
Others9 (17.7%)7 (13.7%)0.6
Serum albumin (mg/dL)2.7 ± 0.62.7 ± 0.60.9
Serum total bilirubin (mg/dL)3.0 ± 5.23.1 ± 3.60.9
Prothrombin time-prolonged (sec.)3.2 ± 3.73.4 ± 3.10.8
Serum creatinine (mg/dL)1.9 ± 1.71.7 ± 1.60.5
Ascites28 (54.9%)33 (64.7%)0.4
Hepatic encephalopathy8 (15.7%)9 (17.6%)0.8
Child–Pugh score8.2 ± 2.28.9 ± 2.50.2
MELD a score15.7 ± 7.215.6 ± 7.00.9
Diabetes18 (35.3%)26 (51.0%)0.1
Cardiovascular disease30 (58.8%)24 (47.0%)0.2
Heart failure4 (7.8%)3 (5.9%)1.0
Sources of BSIs b
Primary bacteremia12 (23.5%)16 (31.4%)0.4
Spontaneous bacterial peritonitis6 (11.8%)10 (19.6%)0.3
Urinary tract infection27 (52.9%)13 (25.5%)0.005
Intraabdominal infection2 (3.9%)7 (13.7%)0.2
Biliary tract infection3 (5.9%)4 (7.8%)1.0
Pneumonia1 (2.0%)1 (2.0%)1.0
Healthcare associated risk
Prior admission29 (56.9%)20 (39.2%)0.1
Urinary catheterization5 (9.8%)3 (5.9%)0.7
Central venous line3 (5.9%)2 (3.9%)1.0
Endotracheal tube1 (2.0%)0 (0%)1.0
Nasogastric tube3 (5.9%)1 (2.0%)0.6
Endoscopic therapy2 (3.9%)3 (5.9%)1.0
Surgery2 (3.9%)1 (2.0%)1.0
Antibiotics use within 3 months22 (43.1%)11 (21.6%)0.02
a MELD: model for end-stage liver disease. b BSIs: Bloodstream infections.
Table 2. Genotype of bacteria in patients with liver cirrhosis and bacteremia caused by extended-spectrum beta-lactamase Escherichia coli and non-extended-spectrum beta-lactamase Escherichia coli.
Table 2. Genotype of bacteria in patients with liver cirrhosis and bacteremia caused by extended-spectrum beta-lactamase Escherichia coli and non-extended-spectrum beta-lactamase Escherichia coli.
ESBLEC (n = 51)NESBLEC (n = 51)p Value
Phylogenetic B2 group *11 (21.6%)21 (41.2%)0.03
Phylogenetic D group *29 (56.9%)21 (41.2%)0.1
ST 73 #0 (0%)5 (9.8%)0.06
ST 95 #0 (0%)9 (17.6%)0.003
ST 131 #18 (35.3%)0 (0%)<0.001
Pan-CTX-M &42NANA
CTX-M-group-1CTX-M-(3, 15)18NANA
CTX-M-group-2 0NANA
CTX-M-group-8 4NANA
CTX-M-group-9CTX-M-1425NANA
Non-CTX-M-group-(1, 2, 8, 9)10NANA
* Phylogenetic group not detected: ESBL n = 11, non ESBL n = 9; # ST not detected: ESBL n = 33, non ESBL n = 37. & Some cases had mixed CTX-M group.
Table 3. Outcome of patients with liver cirrhosis and bacteremia caused by extended-spectrum beta-lactamase Escherichia coli and non-extended-spectrum beta-lactamase Escherichia coli.
Table 3. Outcome of patients with liver cirrhosis and bacteremia caused by extended-spectrum beta-lactamase Escherichia coli and non-extended-spectrum beta-lactamase Escherichia coli.
ESBLEC Group (n = 51)NESBLEC Group (n = 51)p Value
Index hospital stay (days)26.5 ± 20.717.1 ± 12.30.006
Re-admission due to infection within 30 days630.5
Mortality within 30 days16120.4
Hepatoma12
Liver failure20
Biliary tract infection01
Pneumonia21
Acute respiratory distress syndrome10
Spontaneous bacterial peritonitis22
Gastric ulcer bleeding10
Hepatorenal syndrome12
Sepsis42
Variceal bleeding02
Urinary tract infection20
Table 4. Multi-variate analysis of the factors associated with 30-day mortality in patients with liver cirrhosis and bacteremia caused by extended-spectrum beta-lactamase Escherichia coli and non-extended-spectrum beta-lactamase Escherichia coli.
Table 4. Multi-variate analysis of the factors associated with 30-day mortality in patients with liver cirrhosis and bacteremia caused by extended-spectrum beta-lactamase Escherichia coli and non-extended-spectrum beta-lactamase Escherichia coli.
VariablesOdds Ratio95% Confidence Intervalp Value
Male gender0.80.3–1.80.5
MELD a score1.11.1–1.2<0.001
Urinary tract infection0.30.1–0.80.02
Spontaneous bacterial peritonitis2.00.8–4.50.1
Inappropriate antimicrobial therapy2.51.1–5.50.03
a MELD: model for end-stage liver disease.
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Chen, W.-C.; Hung, C.-H.; Chen, Y.-S.; Cheng, J.-S.; Lee, S.S.-J.; Tseng, F.-C.; Cheng, M.-F.; Wang, J.-L. Bloodstream Infections Caused by Extended-Spectrum Beta-Lactamase-Producing Escherichia coli in Patients with Liver Cirrhosis. Pathogens 2021, 10, 37. https://doi.org/10.3390/pathogens10010037

AMA Style

Chen W-C, Hung C-H, Chen Y-S, Cheng J-S, Lee SS-J, Tseng F-C, Cheng M-F, Wang J-L. Bloodstream Infections Caused by Extended-Spectrum Beta-Lactamase-Producing Escherichia coli in Patients with Liver Cirrhosis. Pathogens. 2021; 10(1):37. https://doi.org/10.3390/pathogens10010037

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Chen, Wen-Chi, Chih-Hsin Hung, Yao-Shen Chen, Jin-Shiung Cheng, Susan Shin-Jung Lee, Fan-Chen Tseng, Ming-Fang Cheng, and Jiun-Ling Wang. 2021. "Bloodstream Infections Caused by Extended-Spectrum Beta-Lactamase-Producing Escherichia coli in Patients with Liver Cirrhosis" Pathogens 10, no. 1: 37. https://doi.org/10.3390/pathogens10010037

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