Open Access

E. coli bacteremia in comparison to K. pneumoniae bacteremia: influence of pathogen species and ESBL production on 7-day mortality

Antimicrobial Resistance & Infection Control20165:37

https://doi.org/10.1186/s13756-016-0138-z

Received: 30 May 2016

Accepted: 3 October 2016

Published: 19 October 2016

Abstract

In a previous study, we demonstrated prolonged length of hospital stay in cases of extended-spectrum beta-lactamase (ESBL)-positive K. pneumoniae bacteremia compared to bacteremia cases due to E. coli (ESBL-positive and –negative) and ESBL-negative K. pneumoniae. The overall mortality was significantly higher in bacteremia cases resulting from ESBL-positive pathogens but also in K. pneumoniae cases disregarding ESBL-production. In order to examine whether pathogen species rather than multidrug resistance might affect mortality risk, we reanalyzed our dataset that includes 1.851 cases of bacteremia.

Keywords

ESBL Bacteremia Sepsis K. pneumoniae E. coli Enterobacteriaceae Mortality

Background

The incidence of infections associated with multidrug-resistant Gram-negative organisms like extended-spectrum beta-lactamase producing Enterobacteriaceae (ESBL-E) is growing in Germany [1]. These infections, according to reports, result in increased mortality and an elevated financial burden for hospitals and health care systems [2]. In 2014, we published the results of a study on the costs of bloodstream infections (BSI) with ESBL-E and length of resulting hospital stays [3]. Our data showed that in particular K. pneumoniae was related to prolonged length of stays and increased hospital costs regardless the detection of ESBL production. We furthermore observed a significantly increased overall mortality associated with ESBL-positive pathogens (25.0 % vs. 19.0 %, p-value = 0.028). However, this difference in mortality was also observed in K. pneumoniae cases compared to E. coli cases without considering ESBL-production (25.0 % vs. 18.5 %, p = 0.006). This observation posed the question whether the pathogen species or multidrug resistance had a greater influence on the mortality rate.

Methods

We reanalyzed the dataset to examine risk factors for mortality including pathogen species and ESBL production. All definitions remained the same from the previous publication with the exception of mortality rate. In order to detect mortality rates attributable to the bloodstream infection (BSI-attributable mortality), we focused on the 7-day mortality rate after BSI onset. All other definitions were following the original publication. The median and the interquartile range (IQR) were calculated for continuous parameters, numbers and percentage were calculated for binary parameters. Differences between deceased patients and those who survived were tested using the Wilcoxon rank sum test for continuous variables and the Chi square test for binary variables. A p-value <0.05 was considered statistically significant. In the multivariable analysis, Cox-proportional hazard regression analysis was performed to investigate the risk factors for mortality ≤7 days after BSI onset (BSI-attributable mortality). We calculated adjusted hazard ratios (HR) for pathogen species and ESBL-positivity. Model building strategy was step-wise forward with a p-value < .05 for including a variable in the model. All parameters with a p-value <0.1 in the univariable analysis were considered in the multivariable analysis, and the interaction between pathogen species and ESBL-positivity were included in all multivariable models. Underlying comorbidities were assessed as in the original publication. In order to enable a comparison between the risk factors for BSI-attributable mortality (7-day mortality) and in-hospital mortality, the analysis was repeated for the latter using the same parameters and statistical method. All analyses were performed using SPSS (IBM SPSS statistics, Somer, NY, USA) and SAS (SAS Institute, Cary, NC, USA).

Results

Overall 8.7 % (n = 161) of the patients were deceased within seven days of developing a bloodstream infection whereas n = 205 (11.1 %) patients died at a later point in time during their hospital stay (Table 1). In the univariable analysis, patients who died within the 7 days after BSI onset were significantly older compared to the 7-day survivors. However, this was not observed concerning overall in-hospital mortality. With respect to the 7-day mortality, there was no statistical significant difference observed concerning ESBL-production or pathogen species. Furthermore, the following parameter showed significantly increased risk for overall in-hospital mortality but not for 7-day mortality: polymicrobial BSI, male sex, hospital onset, cerebrovascular disease, lung disease and cancer/immunological disease.
Table 1

Univariate analysis of 7 days mortality in patients with extended-spectrum beta-lactamase (ESBL)-positive or -negative E. coli and K. pneumoniae bloodstream infection (during hospitalization)

Parameter

Survived until 7 days after BSI

Died within 7 days after BSI

7-days Mortality

P-value

Survived/ discharged after BSI

Died in-hospital after BSI

In-hospital Mortality

P-value

Number (%)

Number (%)

Number (%)

Number (%)

Patients

1.690 (100 %)

161 (100 %)

8.7 %

 

1485 (100 %)

366 (100 %)

19.8 %

 

K. pneumoniae

319 (18.9 %)

33 (20.5 %)

9.4 %

0.616

264 (17.8 %)

88 (24.0 %)

25.0 %

0.006

E. coli

1371 (81.1 %)

128 (79.5 %)

8.5 %

1221 (82.2 %)

278 (76.0 %)

18.5 %

ESBL-positive

219 (13.0 %)

25 (15.5 %)

10.2 %

0.357

183 (12.3 %)

61 (16.7 %)

25.0 %

0.028

Hospital mortality

205 (12.1 %)

161 (100.0 %)

44.0 %

<0.001

-

366 (100.0 %)

100.0 %

n.a.

Polymicrobial

198 (11.7 %)

27 (16.8 %)

12.0 %

0.061*

160 (10.8 %)

65 (17.8 %)

28.9 %

<0.001*

Age (years)a

65 (52–73)a

67 (57–76)a

n.a.

0.019*

65 (52–73)a

66 (54–74)a

n.a.

0.134*

Male

929 (55.0 %)

93 (57.8 %)

9.1 %

0.496

799 (53.8 %)

223 (60.9 %)

21.8 %

0.014

Hospital onset

746 (44.1 %)

84 (52.2 %)

10.1 %

0.050*

612 (41.2 %)

218 (59.6 %)

26.3 %

<0.001*

ICU stay

1.072 (63.4 %)

125 (77.6 %)

10.4 %

<0.001*

896 (60.3 %)

301 (82.2 %)

25.1 %

<0.001*

Charlson comorbidity indexa

5 (3–8)a

8 (6–10)a

n.a.

<0.001

5 (3–8)a

8 (6–10)a

n.a.

<0.001

Heart disease

275 (16.3 %)

47 (29.2 %)

14.6 %

<0.001*

215 (14.5 %)

107 (29.2 %)

33.2 %

<0.001*

Cerebrovascular disease

243 (14.4 %)

31 (19.3 %)

11.3 %

0.096*

202 (13.6 %)

72 (19.7 %)

26.3 %

0.003*

Neurologic disease

123 (7.3 %)

11 (6.8 %)

8.2 %

0.835

112 (7.5 %)

22 (6.0 %)

16.4 %

0.311

Lung disease

218 (12.9 %)

24 (14.9 %)

9.9 %

0.470

181 (12.2 %)

61 (16.7 %)

25.2 %

0.023

Gastrointestinal disease

53 (3.1 %)

12 (7.5 %)

18.5 %

0.004*

36 (2.4 %)

29 (7.9 %)

44.6 %

<0.001*

Rheumatic disease

50 (3.0 %)

2 (1.2 %)

3.8 %

0.208

44 (3.0 %)

8 (2.2 %)

15.4 %

0.420

Liver disease

258 (15.3 %)

53 (32.9 %)

17.0 %

<0.001*

180 (12.1 %)

131 (35.8 %)

42.1 %

<0.001*

Diabetes

422 (25.0 %)

48 (29.8 %)

10.2 %

0.177

366 (24.6 %)

104 (28.4 %)

22.1 %

0.138

Renal disease

711 (42.1 %)

115 (71.4 %)

13.9 %

<0.001*

565 (38.0 %)

261 (71.3 %)

31.6 %

<0.001*

Cancer/immunological disease

672 (39.8 %)

75 (46.6 %)

10.0 %

0.092*

571 (38.5 %)

176 (48.1 %)

23.6 %

0.001*

BSI bloodstream infection, LOS length of stay, N.a. not applicable

* Included in the multivariable Cox-proportional hazard regression

a Continuous parameter displayed as median (interquartile range)

P-values <0.05 were considered statistically significant

In the multivariable analysis, independently associated factors with 7-day mortality were renal disease, liver disease, cancer /immunological disease and heart disease (Table 2). No effect was observed concerning neither pathogen species nor ESBL-production. For overall in-hospital mortality, a similar risk profile could be observed concerning underlying diseases. Here, BSI with ESBL-negative K. pneumoniae was found to be an independent risk factor for overall in-hospital mortality.
Table 2

Multivariable Cox-proportional hazard regression of risk factors for 7-day mortality and hospital mortality after BSI with ESBL-positive or -negative E. coli and K. pneumoniae

Parameter

Parameter/ category

7-days mortality (stepwise)

In-hospital mortalitya

HR

CI95

P-value

HR

CI95

P-value

Interaction effect between pathogen species and ESBL-production

E. coli ESBL-negative

1 = Reference

 

0.947

1 = Reference

 

0.084

E. coli ESBL-positive

1.16

0.70–1.90

0.571

1.22

0.88–1.68

0.228

K. pneumoniae ESBL-negative

0.98

0.64–1.50

0.926

1.39

1.07–1.82

0.015

K. pneumoniae ESBL-positive

1.05

0.49–2.27

0.894

1.01

0.60–1.67

0.983

Comorbidities

Heart disease

1.55

1.09–2.21

0.014

1.23

0.97–1.56

0.087

Liver disease

1.96

1.40–2.74

<0.001

1.85

1.48–2.30

<0.001

Renal disease

2.86

1.99–4.10

<0.001

2.32

1.82–2.95

<0.001

Cancer/ immunological disease

1.66

1.21–2.28

0.002

1.58

1.28–1.95

<0.001

ESBL extended-spectrum beta-lactamase, HR hazard ratio, CI95 95 % confidence interval, N.s. not significant

aAnalyzing the same parameters as in 7-days mortality

P-values <0.05 were considered statistically significant

Discussion

In earlier studies, ESBL-positive pathogens causing infections were associated with increased mortality [2]. However, recent studies have cast doubt on this general assumption and showed a lack of sufficiently controlled studies especially with respect to antimicrobial treatment [4, 5]. Unfortunately, we do not have sufficient data on antimicrobial treatment and are unable to examine this assumption. Especially carbapenem resistance poses a serious threat, as carbapenems are the most important reserve substances for these infections [6]. However, our cohort was comprised of only two cases resulting from carbapenem-resistant organisms.

In the original publication, K. pneumoniae cases were associated with a significantly higher comorbidity index (6 vs. 5, p = 0.001). K. pneumoniae BSIs were more often associated with the detection of other organisms in the same blood culture (24.4 % vs. 9.9 %, p ≤ 0.001) and they occurred later than the respective E. coli BSIs (hospital day 6 vs. 1, p ≤ 0.001). These observations indicate epidemiological and pathophysiological differences between both groups that we do not yet entirely understand.

In the analysis at hand, we observed severe comorbidities, like renal disease, liver disease or cancer to be the only independently associated risk factors for BSI-attributable mortality. In contrast, ESBL-negative K. pneumoniae (in addition to comorbidities) was independently associated with in-hospital mortality. We see this as the result of an unmeasured confounder that is associated with increased risk of mortality in the aftermath of survival from a K. pneumoniae BSI.

This analysis has limitations. Our data lacks information on antimicrobial therapy, which could provide further information. However, the patients were treated following current sepsis guidelines. The guidelines do not differentiate between K. pneumoniae and E. coli and therefore render a systematical therapeutic difference unlikely. Data on source of BSI and on the severity of disease (e.g. sepsis, septic shock) were not sufficiently available. Therefore, we could not adjust for the effect of these potential confounders.

Conclusions

ESBL-E BSI-attributable mortality was influenced neither by pathogen species nor by ESBL-production. However, we observed epidemiological differences between patients infected with K. pneumoniae or E.coli that lead to an increased in-hospital mortality, not attributable to the BSI episode. Both pathogens are the most commonly found representatives of ESBL-producing bacteria in clinical isolates. Hence, it is of paramount importance to understand the factors that determine the course of infection and the overall outcome. Thus, further well-designed studies of epidemiological and pathophysiological differences between K. pneumoniae and E. coli -infections are necessary.

Abbreviations

BSI: 

Bloodstream infections

E. coli

Escherichia coli

ESBL-E: 

Extended-spectrum beta-lactamase producing Enterobacteriaceae

HR: 

Hazard ratio

IQR: 

Interquartile range

K. pneumoniae

Klebsiella pneumoniae

Declarations

Acknowledgment

Not applicable.

Funding

RL is partly funded by grants from the Federal Ministry of Education and Health, Germany [No. 01KI1013H].

Availability of data and materials

The complete anonymized dataset is available from the corresponding author upon request.

Authors’ contributions

PG and RL developed the idea, RL and FS drafted the manuscript. FS developed the mathematical model and performed the statistical analysis. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The approval of the ethics committee of Charité Universitätsmedizin Berlin for this study was obtained previously (process number EA4/031/11).

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Institute of Hygiene and Environmental Medicine, Charité Universitätsmedizin Berlin
(2)
National Reference Center for the Surveillance of Nosocomial Infections
(3)
Department of Medical and Financial Controlling, Charité Universitätsmedizin Berlin

References

  1. Leistner R, Schroder C, Geffers C, Breier AC, Gastmeier P, Behnke M. Regional distribution of nosocomial infections due to ESBL-positive Enterobacteriaceae in Germany: data from the German National Reference Center for the Surveillance of Nosocomial Infections (KISS). Clin Microbiol Infect. 2015;21(3):255.e1–5.View ArticleGoogle Scholar
  2. Shorr AF. Review of studies of the impact on Gram-negative bacterial resistance on outcomes in the intensive care unit. Crit Care Med. 2009;37(4):1463–9.View ArticlePubMedGoogle Scholar
  3. Leistner R, Gurntke S, Sakellariou C, Denkel LA, Bloch A, Gastmeier P, et al. Bloodstream infection due to extended-spectrum beta-lactamase (ESBL)-positive K. pneumoniae and E. coli: an analysis of the disease burden in a large cohort. Infection. 2014;42(6):991–7.View ArticlePubMedGoogle Scholar
  4. Rottier WC, Ammerlaan HS, Bonten MJ. Effects of confounders and intermediates on the association of bacteraemia caused by extended-spectrum beta-lactamase-producing Enterobacteriaceae and patient outcome: a meta-analysis. J Antimicrob Chemother. 2012;67(6):1311–20.View ArticlePubMedGoogle Scholar
  5. Schwaber MJ, 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(5):913–20.View ArticlePubMedGoogle Scholar
  6. Marston HD, Dixon DM, Knisely JM, Palmore TN, Fauci AS. Antimicrobial resistance. JAMA. 2016;316(11):1193–204.View ArticlePubMedGoogle Scholar

Copyright

© The Author(s). 2016

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