- Open Access
Algorithm for pre-emptive glycopeptide treatment in patients with haematologic malignancies and an Enterococcus faecium bloodstream infection
© Zhou et al.; licensee BioMed Central Ltd. 2013
- Received: 28 May 2013
- Accepted: 1 September 2013
- Published: 11 September 2013
Nowadays Enterococcus faecium has become one of the most emerging and challenging nosocomial pathogens. The aim of this study was to determine risk factors in haematology patients who are at risk of an Enterococcus faecium bloodstream infection (BSI) and should be considered for pre-emptive glycopeptide treatment. With these identified risk factors a prediction model can be developed for clinical use.
Retrospectively clinical and microbiological data in 33 patients with an E. faecium BSI were compared to 66 control patients during a 5-year period at the haematology ward. Multivariate logistic regression was used to explore the independent risk factors and a prediction model was developed to determine the risk of an E. faecium BSI.
E. faecium BSIs were found to be associated with high mortality rates. Independent risk factors for E. faecium BSI were colonization with E. faecium 30 days prior to blood culture (OR 5.71; CI 1.7-18.7), combination of neutropenia and abdominal focus (4.37; 1.4-13.4), age > 58 years (4.01; 1.3-12.5), hospital stay prior to blood culture > 14 days (3.55; 0.98-12.9) and CRP (C-reactive protein) level >125 mg/L (4.37; 1.1-10.2).
Using data from this study, risk stratification for the development of an E. faecium BSI in patients with haematological malignancies is possible. Pre-emptive treatment should be considered in those patients who are at high risk. Using a prediction model as designed in this study, antibiotic stewardship in terms of prudent use of glycopeptides can be improved and might be helpful in controlling further spread of VRE (vancomycin resistant enterococci).
- Enterococcus faecium
- Haematologic patients
- Risk factors
- Antibiotic stewardship
Enterococcus faecium has become one of the most important, emerging and challenging nosocomial pathogens . It is a difficult to treat pathogen due to intrinsic resistances to cephalosporins, aminoglycosides (low-level resistance), clindamycin and trimethoprim-sulfamethoxazole . Moreover, it has the ability to easily acquire virulence or antibiotic resistance genes trough transfer of plasmids, chromosomal exchange or mutation .
Due to the resistance of multiple antibiotics, the treatment of choice in serious E. faecium infections is glycopeptides. However, prudent use of vancomycin is needed as it is associated with an increased risk for VRE infection and colonization . The emergence of VRE has been reported one to two decades ago in the United States ; more recently alarming reports are now coming from many countries in Europe .
Several studies have pointed out the existence of two subpopulations of E. faecium: commensal/community-associated (CA) strains and clinical or hospital associated (HA) strains, whereas the latter is also referred as the clonal complex 17 (CC-17) group . These HA/CC-17 strains are associated with ampicillin resistance; the rise and replacement of E. faecium as the predominant enterococcus species are especially due to these strains .
A predominant part of the nosocomial E. faecium bloodstream infections concerns patients with haematologic malignances who are immunocompromised by their severe disease and intensive treatment. Whereas it often is debated whether to treat E. faecium as a real pathogen, several studies have shown high morbidity and mortality rates for enterococcal bacteremia (mortality rates ranging from 25% to 51%), especially in immunocompromised patients [9–11]. Moreover, the mortality rates increases with inappropriate antimicrobial therapy .
After coagulase negative staphylococci (CoNS), streptococci and Escherichia coli (E. coli), E. faecium is the most predominant species isolated among blood cultures at the haematology unit of our hospital. Compared to other pathogens such as CoNS, E. coli, Pseudomonas aeruginosa (P. aeruginosa) and streptococci which remained stable or decreased, E. faecium increased for the periods 1998–2006 (3.1%) and 2007–2010 (12.8%) which is 4.1 times more.
Since patients with haematologic malignancies are highly prone to infection, prophylactic antibiotics are used to prevent and reduce any risk of infection. In our haematology ward penicillin and ciprofloxacin or co-trimoxazol or colistine or tobramycin (orally) are used depending on the resistance pattern of bacteria found in surveillance cultures. In case a haematology patient presents with neutropenic fever or other clinical signs of infection, blood cultures are taken and empirical broad-spectrum antibiotic treatment is started, which is piperacillin-tazobactam.
Glycopeptides are not recommended as a standard part of the initial antibiotic regimen for fever and neutropenia. Moreover, as noted earlier, for the further prevention and control of VRE it is necessary to control the use of glycopeptide antibiotics. At this moment, glycopeptides are only added in case of a positive blood culture with E. faecium or oxacillin resistant CoNS. However blood culture results and their susceptibilities are only available after one or more days after blood samples are drawn.
Therefore the aim of this study is to identify possible risk factors in those haematology patients who are at high risk of E. faecium bloodstream infection in order to develop a prediction model for clinical stringent use. This can be useful in the decision of pre-emptive therapy with glycopeptides together with the initial empirical antibiotic treatment at the moment a blood culture is taken.
Study design and population
Patient data were gathered by reviewing hospital electronic records and stored hard-copy records. The date the blood culture was taken was chosen as day 0 and from that point all data were reviewed all data retrospectively. Clinical data collected included information of underlying disease, admission status, co-morbidities, neutropenia, C-reactive protein (CRP) levels, fever and signs of organ failure prior to blood culture. Microbiological data collected included clinical source of infection, information about E. faecium colonization and antibiotic use 30 days prior to positive blood culture. If a patient had diarrhea, records were also reviewed for Clostridium difficile. Antibiotic susceptibility patterns, presence of polymicrobial bacteremia and positive galactomannan tests were gathered. Antibiotic treatment with vancomycin or teicoplanin for E. faecium bacteremia was evaluated. Outcomes were measured by need of ICU admission and mortality at 7 and 30 days after blood culture.
Clinical notifications and definitions
During the retrospective study period, blood cultures were drawn for neutropenic fever or other clinical signs for infection. Fever was defined as temperature >38.5°C or > 38°C for 24 hours was a reason for further examination. An absolute neutrophil count below 0.5 × 109/L was defined as neutropenia. For organ failure the following definitions were used: renal failure was defined as creatinin >176 μmol/L, hepatic failure as bilirubin >43 mmol/L and pulmonary failure as bilateral lung infiltrates or signs of acute respiratory distress syndrome (ARDS). These definitions were according to guidelines used for defining organ failure in severe sepsis . Polymicrobial infection was defined as a micro-organism other than E. faecium within ± 7 days of the blood culture. For the controls it was defined as an additional micro-organism within ± 7 days of a positive blood culture. In this definition less pathogenic micro-organisms such as CoNS, Corynebacteriae, Micrococcus spp. and Bacillus spp. as an additional micro-organism were excluded.
Infection prevention regimen haematology ward
At the haematology ward of our hospital, selective decontamination of the digestive tract (SDD) is performed in patients with an (expected) reversible neutropenia or increased risk of infection. The implementation is as follows: surveillance cultures from faeces, throat and urine at admission day, then once a week only faeces and throat cultures during the duration of neutropenia. Penicillin (to prevent streptococcal sepsis) and ciprofloxacin or cotrimoxazol or colistine or tobramycin (orally) are used as prophylactic antibiotics depending on the resistance pattern of surveillance cultures. Amphoterin B, nystatin or fluconazole are given orally as antifungal therapy. The choice of empirical antibiotic therapy is piperacillin-tazobactam.
Screening for E. faecium in this period was done on BME(G) agar plates. This contained Meropenem 64 mg/L, Oxacillin 10 mg/L, Amphotericin-B 20 mg/L and esculin. Hereby we screened for ampicillin resistant E. faecium (HA E. faecium). From January 2007 these agar plates also contained gentamicin 128 mg/L since there was an increase of high level gentamicin resistant E. faecium in our hospital from that time period.
Identification and susceptibility testing
Blood cultures were performed using the BACTEC system (Becton Dickinson™). Further determination and susceptibility testing were performed for gram positive streptococci that were catalase negative and PYR positive. As for E. faecium surveillance cultures, only colonies that grew on the BMEG plates with black borders were further determined. Species were identified using the VITEK®2 System (BioMérieux™) or API20 Strep System (BioMérieux™). Subsequently antimicrobial susceptibility testing was performed using the VITEK®2 System or disk diffusion tests respectively.
Statistical analyses were performed using SPSS for Windows, rel 18.0. Univariate analyses were performed using the Fisher’s exact or Chi-square methods for categorical variables. The Student’s t-test or Mann–Whitney U-test was used for the continuous variables. Results with a p-value of ≤0.05 were considered to be statistically significant. All p-values are two-tailed. Significant variables were used in the multivariate logistic regression.
Deriving prediction model from a nested case–control design
To overcome the overestimation of risks because of overrepresentation of cases, we choose to perform a nested case–control design where the cases represent 5% and controls 95% of the whole population (Figure 1). Therefore the following factor to the intercept of the logistic regression model is added: c = ln (q0/ (1-q0)), whereas q0 is the true prevalence of the diseases in the population. With this correction the risk of an individual to get the disease can be estimated by the formula eβ0+c+ β1X1+…βkXk / 1 + e β0+c+ β1X1+…βkXk. In this formula, β0 is the intercept from the linear regression equation, β1/βk is the regression coefficient derived from the multivariate logistic regression and X1/Xk is the value of the predictor. In this study, q0 is the prevalence of patients with an E. faecium blood culture. Since we were only interested in those patients of whom a blood culture is drawn, c = ln (0.05/ (1–0.05)) = −2.94. Controls should be a random selection representative of the population  which is the case since we randomly selected the 66 control patients.
Comparison of demographic and clinical characteristics of cases ( E. faecium ) and controls
Cases (n = 33)
Controls (n = 66)
Age, mean ± SD, years
58.0 ± 11.3
52.2 ± 9.1
Type of malignancy: a
Leukaemia (AML, MDS, ALL) for chemotherapy
Leukemia for allogeneic stem cell transplantation
Lymphoma’s, Kahler, CLL and others undergoing autologous stem cell transplantation
Lympfhoma’s, Kahler, CLL not undergoing autologous stem cell transplantation
Status of disease:
Not in remission b
Reason for admission:
Stem cell transplantation c
Length of hospital stay:
Length in days prior to positive blood culture, median (range)
Length in days 1 year before admission, median (range)
Signs of organ failure: d
Renal (creatinine > 176 μmol/L)
Hepatic (bilirubin >34 mmol/L)
Lung (bilateral lung infiltrates)
Days of fever, median (range) d
Neutropenia <0.1 × 109/L e
Neutropenia <0.5 × 109/L e
Neutropenia <2.0 × 109/L e
Duration of neutropenia <0.5 × 109/L prior to blood culture, median (range)
CRP (C-reactive protein in mg/L):
Levels 7 days prior to blood culture, median (range)
Levels at time of blood culture, median (range)
At time of blood culture CRP >125 mg/L
Antibiotic therapy at time of blood culture and/or 30 days before:
From the 33 cases, fourteen patients (42.4%) had a single blood culture, nineteen (57.6%) had more than one blood culture and 11 (33.3%) had more than two blood cultures. All E. faecium blood isolates were resistant to amoxicillin. No VRE strains were identified in this study. High-level gentamicin resistance (HLGR) was found in 19 (57.6%) of the 33 E. faecium blood isolates. Three of the 19 patients with HLGR E. faecium also had low level gentamicin resistant E. faecium in their blood cultures (multiple blood cultures).
Comparison of the microbiological characteristics of cases ( E. faecium ) and controls
Cases (n = 33)
Controls (n = 66)
Colonization with E. faeciuma
7 days prior to blood culture
30 days prior to blood culture
90 days prior to blood culture
Number of faeces cultures with E. faecium 30 days prior to blood culture, median (range)
Type of blood culture
Clinical source of infection
Abdominal focus: abdominal pain and/or diarrhea
Coughing and/or sputum
Radiological proof of pneumonia or lung infiltrates
Ear Nose Throat
An abdominal focus was found to be associated with E. faecium bacteremia (p = 0.003) of which diarrhea appeared to be most distinct variable. Only one patient with an E. faecium BSI had a positive Clostridium difficile toxin test (no C. difficile in stool culture) at time of diarrhea. This was two days prior to the positive blood culture, together with a positive E. faecium faeces culture, though this patient was already colonized with E. faecium for several weeks.
Patients with E. faecium BSI were more often detected to be colonized with E. faecium prior to blood culture (p = <0.001). A total of twenty-one patients (63.6%) were colonized with E. faecium prior to the positive blood culture with a median of 1 (range 0–8), compared to 24.2% in the control group with a median of 0 (range 0–6). Twelve patients (36.4%) were not found to be colonized with the surveillance cultures. However, nine of these twelve patients had a blood culture with low level gentamicin resistant E. faecium. Seven of these twelve patients (58.3%), had a positive faeces culture with E. faecium after all within 30 days after positive blood culture; five with high level gentamicin resistant E. faecium, two with low level gentamicin resistant E. faecium. The majority of the patients (69.7%) were still colonized up to 30 days after the first positive blood culture. This includes both patients that were already colonized and patients who had a positive culture with E. faecium within 30 days after their positive blood culture.
Outcomes and treatment
Comparison of outcome and antibiotic treatment of cases ( E. faecium ) and controls
Cases (n = 33)
Controls (n = 66)
Piperacillin-tazobactam treatment at time blood culture is drawn and/or 30 days before
Vancomycin/teicoplanin treatment at time of blood culture withdrawal
ICU admission till 7 days after positive bloodculture
At 7 days
At 30 days
Antibiotic treatment with vancomycin or teicoplanin in patients with E. faecium BSI, including mortality rates ( n = 33)
Vancomycine/teicoplanin treatment cases (n = 33)
At time of blood culture withdrawal
After 24 hrs
13 + 2*
Additional statistical analyses were performed on patients with an E. faecium BSI (cases) to determine additional risk factors for mortality. Only the numbers of blood cultures were found to be statistically significant for mortality at 7 days, with significant trend effect in case of more positive blood cultures. (Additional file 1) None of the other demographic, clinical or microbiologic factors listed in Tables 1 and 2 (e.g. neutropenia, mucositis, glycopeptide treatment) were found to be additional risk factors.
Multivariable regression analysis and prediction modeling
Multivariate logistic regression analyses: risk factors associated with an E. faecium BSI ( n = 33)
A. Colonization with E. faecium 30 days prior to blood culture
B. Neutropenia and abdominal focus*
C. Age > 58 years
D. Days of admission prior to blood culture > 14 days
E. CRP >125 mg/L
Prediction model to determine the risk of E. faecium BSI (subset)
Nowadays E. faecium has become an emerging and challenging pathogen in hospitals and even more has replaced E. faecalis as the predominant enterococcus species . The increase of E. faecium BSIs in our study are in line with the numbers of a recent EARSS (European Antimicrobial Resistance Surveillance System) study, in which E. faecium increased most significant in BSIs compared to other major pathogens .
All E. faecium strains from the blood cultures in our study belonged to the HA/CC-17 strains. They were all amoxicillin (ampicillin) resistant and insertion sequence 16 (IS 16) positive, which is a marker for these strains . HA/CC-17 strains seem to be successful in acquiring accessory virulence and antibiotic genes and therefore might set the stage for VRE . In vancomycin resistant E. faecium infections, adequate treatment of serious infections becomes limited. Although some novel antimicrobials such as linezolid and daptomycin have been developed, these also have their limitations; moreover resistance to these antimicrobials has already been described .
In line with previous studies prior colonization with HA E. faecium showed to be an independent risk factor for E. faecium BSI [19, 20]. This study showed that the majority of patients (63.6%) were first colonized prior to the development of E. faecium BSI; moreover it seemed to be the most important/significant independent risk factor for E. faecium BSI in our study. It is important to keep in mind that multiple swabs might be needed to detect the majority of carriers  and E. faecium can persist for a long period  which is also seen in our study. Environmental contamination and person-to-person spread are factors contributing to the acquisition of E. faecium[23, 24]. Enterococcus spp. are quite tenacious and may survive for more than 4 months under dry conditions . Therefore standard hygiene (e.g. hand hygiene) and appropriate infection-control measures (e.g. risk surface disinfection) are essential.
Neutropenia and abdominal focus (diarrhea and/or abdominal pain) were also associated with E. faecium BSI. Because these variables seem to be related to each other, as they individually excluded each other in regression analysis, the two variables were combined. The extensive chemo- and transplantation therapy the patients receive is often associated with neutropenia and diarrhea . In case of severe neutropenia or chemotherapy induced diarrhea which can be seen as injury of the mucosal barrier, E. faecium has the opportunity to enter the bloodstream.
Subsequently we expected mucositis, which relates more to the oral toxicity of chemotherapy, to be an associated variable. Kuehnert et al. showed that the risk of VRE BSI increased with increasingly severe mucositis . In contrast, Worth et al. didn’t find mucositis to be associated with E. faecium infection; however it hadn’t a well-validated mucositis severity index . Perhaps a more validated mucositis stratification would have shown other results in our study.
CRP level and fever as infection parameters were both found to be significant. However, they individually excluded each other in the regression analysis. Therefore we chose to include CRP level in our model as it is a more objective parameter. Especially in these haematology patients, fever can be aspecifically related to for example drug fever or inflammation like mucositis.
Not many studies have identified age to be an independent risk factor. However the majority of the patients with E. faecium infections in the studies are at higher age (50–70 years) and these studies included a more specific control group [11, 29, 30] whereas we choose a random selection representative for the total population of the haematology ward during the study period.
Since E. faecium is considered to be a nosocomial pathogen, a prolonged hospital length of stay as a predictor in E. faecium bacteremia is as we expected. For VRE as a multi-resistant pathogen it is clear it is associated with a longer hospital length of stay. Though also for vancomycin-susceptible (VSE), but ampicillin resistant E. faecium (ARE) as in our study, this association had been shown [31, 32].
Another risk factor often associated with E. faecium infection is previous antibiotic use . Moreover, numbers of enterococci in SDD increases since they are not covered . We haven’t found a strong association between antibiotic use and an E. faecium BSI, since the majority of both patient groups received SDD.
Additional analysis between patients with and without an E. faecium BSI did not result in additional risk factors for mortality besides the total number of positive E. faecium blood cultures. However numbers were often too small to perform adequate statistical analyses between the two groups.
This study has some limitations. Firstly, the data was retrospectively gathered. Although both stored-hard copy and electronic records were reviewed, for certain clinical parameters precise monitoring was difficult. Secondly, this is a single-centre study whereas local epidemiological variables and infection prevention measures must be considered. Thirtly, from January 2007 surveillance cultures were screened for meropenem and high level gentamicin resistant E. faecium. The reason for this was an increase in E. faecium of which the major part was high level gentamicin resistant in our hospital from that time period. An unknown number of E. faecium of gentamicin susceptible surveillance cultures have been missed during this period. However, we still detected some gentamicin low level resistant E. faecium (5/200 patients ~5%) from that time period. From February 2011 we use 2 mg/L gentamicin in our BMEG screening agars instead of 128 mg/L. Hereby we see an increase of ~30% due to low level gentamicin E. faecium in the haematology ward for the period February 2011 – July 2013. However, there seems to be a shift again from 2012, whereas gentamicin high level E. faecium, accounts for up to 80% of the HA E. faecium both in screening cultures as well as in blood cultures for the period February 2012 – July 2013. This should be taken into account considering results of E. faecium colonization in our study. It is difficult to assess the implication of this limitation on the prediction model with respect to the odds ratio. Moreover, patients can have several E. faecium strains in their surveillance cultures as well as in blood cultures. Finally the majority of our control group had blood cultures with ‘no growths’. This might have several reasons, for example patients could have had fever due to the malignancy or drug fever or inflammation because of mucositis. It could also partially be explained by the fact patients received SDD. One can state that these patients had a lower degree of illness, compared to patients with an E. faecium blood culture. However, retrospective circumstances for both groups were equal. Both groups had the same grounds to obtain a blood culture; neutropenic fever or other clinical signs of infection. Also for the purpose of the study, a prediction model in order to decide whether or not add glycopeptide to the empirical antibiotic treatment at the moment a blood culture is drawn, we choose to select this group of patients as controls.
In conclusion this study demonstrated that colonization with HA E. faecium 30 days prior to blood culture, combination of neutropenia and abdominal focus, age > 58 years, hospital stay prior to blood culture > 14 days and CRP level >125 mg/L are independent risk factors for E. faecium BSI. In agreement with previous studies, this study showed that E. faecium infections can cause severe infections and are associated with high mortality rates in patients with haematologic malignancies [10, 34]. Thereby risk stratification becomes necessary in those haematology patients at high risk. Using a prediction model for risk stratification as designed in this study, antibiotic stewardship in terms of prudent use of glycopeptides becomes possible. Together with infection control measures this might be helpful controlling further increase of VRE. The prediction model in this study is based on one specific haematology ward, though it would be worthwhile to verify this prediction model in a prospective multicenter study.
This work was supported by the Interreg IVa-funded projects EurSafety Heath-net (III-1-02 = 73) and SafeGuard (III-2-03 = 025), part of a Dutch-German cross-border network supported by the European Commission, the German Federal States of Nordrhein-Westfalen and Niedersachsen, and the Dutch provinces of Overijssel, Gelderland, and Limburg.
We thank I.M. Nolte (University Medical Center Groningen, Department of Epidemiology) and T. Donker (University Medical Center Groningen, Department of Medical Microbiology) for the excellent help and discussion about the statistical analysis of the data. We thank G.A. Kampinga for the great help and knowledge on microbiological methods used at the laboratory.
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