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Predictors for vancomycin resistant Enterococcus faecium transforming from colonization to infection: a case control study
Antimicrobial Resistance & Infection Control volume 8, Article number: 196 (2019)
Little is known about risk factors for subsequent infections among vancomycin resistant Enterococcus faecium (VREfm) colonizers, especially characterized by concordant pulsotypes (CP) of paired colonization and infection-related isolates.
This case-control study was conducted at a teaching hospital between 2011 and 2014. Targeted patients received active surveillance culture for VREfm by anal swabs at admission. Cases were those who developed VREfm infection within 180 days after colonization of VREfm. Controls were those colonized with VREfm without subsequent VREfm infection. CP were defined by similarities ≥86.7% using pulsed-field gel electrophoresis between paired colonization and infection-related isolates.
Ninety-seven cases and 194 controls were enrolled. By conditional multivariable logistic regression analysis, the risk factors for subsequent infection among VREfm colonizers were intensive care unit (ICU) admission (adjusted odds ratio [aOR], 9.32; 95% CI, 3.61–24.02), receipt of central venous catheters (CVC) (aOR, 3.38; 95% CI, 1.30–8.82), and utilization of third- and fourth-generation cephalosporins (aOR, 4.06; 95% CI, 1.79–9.20, and aOR, 5.32; 95% CI, 1.85– 10.29, respectively) (all P ≤ 0.01). Fifty-six (57.7%) of case patients belonged to the CP group, which were associated with ICU admission (aOR, 3.74; 95% CI, 1.38–10.13), and infection developing within 30 days after colonization (aOR, 3.34; 95% CI, 1.25–8.91).
Among VREfm colonizers, being admitted to ICU and receiving CVC or broad spectrum cephalosporins, were the risk factors for subsequent infections. These findings highlight the importance of conducting more strict infection control measures on specific groups of VREfm colonizers.
Enterococci are the top five pathogens causing healthcare-associated infections in the United States . High proportions of clinical enterococcal isolates possess vancomycin resistance, especially Enterococcus faecium, ranging from 50.0 to 80.0% [2, 3]. In the US, an estimated 20,000 patients were infected by vancomycin-resistant enterococci (VRE), which were associated with more than 1000 deaths annually in 2013 . In the European Union, population-weighted proportions of VRE infections significantly increased 1.4-fold without geographic difference from 2014 to 2017 . The increasing trends of VRE infections have also been noted in Asia and Oceania [6,7,8,9]. Few treatment options and high mortality rates of VRE infections , and frequent intra- or inter-healthcare institute spread of VRE , all contribute to a huge economic burden for the prevention and management of VRE .
Current evidence demonstrates VRE colonization increases risks of subsequent VRE infections [13, 14]. As for VRE colonization, the well-recognized risk factors include exposure to antimicrobials, retention of an invasive device, and contaminated hospital environments [15,16,17]. Accordingly, specific efforts focusing on infection control and prevention measures, including antimicrobial stewardship, have been proposed to prevent hospitalized patients from acquiring and colonizing VRE.
Not all VRE-colonized patients develop subsequent infections with only 20–45% of these patients developing subsequent VRE infections [13, 14, 18], and risk factors associated with subsequent VRE infections among colonizers are seldom discussed. As for the molecular epidemiology of vancomycin-resistant E. faecium (VREfm), prior studies have depicted clonal complex (CC) 17 VREfm as the most prevalent clone, causing colonization and infections among hospitalized patients [19,20,21]. CC17 VREfm is also the dominant clone disseminating in the environment of healthcare institutes . However, whether the subsequent infection-related VREfm isolates are the same strains as the preceding colonization isolates remains unclear.
Therefore, we conducted the following study to disclose the risk factors associated with the development of subsequent infections among VREfm colonizers, and to clarify whether the subsequent infection was caused by the same VREfm isolate identified in the preceding event of colonization.
An active surveillance program for VRE was conducted at National Taiwan University Hospital (NTUH), a 2200-bed academic hospital, from January 2011. Anal swabs were obtained from the targeted patients on the day of admission, and sent to the infection control laboratory for surveillance cultures for VREfm. The targeted patients included those admitted to intensive care units (ICU), with underlying hematological malignancy, receiving renal replacement therapy, or residents in long-term care facilities. For those with positive surveillance cultures, infection control bundles for multi-drug resistant pathogens were applied according to Society for Healthcare Epidemiology of America (SHEA) guidelines .
From January 2011 to December 2014, patients with the first instance of positive results for active VREfm surveillance were enrolled for follow-up until the development of subsequent infection, death, or 6 months after enrollment. Those with a history of positive culture results of VREfm from clinical specimens prior to active surveillance or developing VREfm infection within 2 days after documentation of colonization were excluded. Among the enrolled patients, those who developed subsequent VREfm infection during the study period were considered as the case patients. The others were considered as the control pool. Selected patients with a 2:1 ratio matched with age and gender to case patients from the control pool were considered as the matched-control patients.
Data collection and definitions
A standardized case report form was used to collect the demographic, clinical and microbiological data from all case and matched-control patients. All data were collected by reviewing electronic medical records. The status of comorbid conditions was recorded at identification as colonizers. Utilization of given antimicrobial classes were defined as patients taking given antimicrobial agents, either orally or intravenously, for at least three consecutive days. Gastrointestinal intervention was defined as those receiving abdominal surgery, gastrointestinal endoscopy, or drainage from organs or cavities in the abdomen. All healthcare factors and antibiotic utilization were documented within 30 days before the end of follow-up. An episode of VREfm infection was categorized according to the definitions by the Center for Disease Control . Early infection was defined as subsequent VREfm infections developing within 30 days after identification of VREfm colonization.
The methods for VREfm identification and molecular typing of these isolates were as previously described [7, 24]. In brief, VREfm isolates were identified by bile esculin azide broth containing 8 mg/mL vancomycin (BEAV) and chromogenic agar medium, and the confirmatory identification was performed by using the Vitek2 System (bioMérieux, Marcy-l’Étoile, France).
Multilocus sequence typing (MLST) were performed for all available colonization and infection VREfm isolates. Furthermore, the electrokaryotypes of VREfm colonization and infection-related isolates collected from the case patients were analyzed by pulsed-field gel electrophoresis (PFGE) to determine the genetic relatedness of paired colonization and infection isolates from the same patient. PFGE patterns were determined using the Pearson product-moment correlation coefficient, with the Gel Compare II software package (bioMérieux, Marcy-l’Étoile, France). An Unweighted-pair group method using average linkages (UPGMA) dendrograms were constructed by these data . The cut-off value of similarity above or equal to 86.7% was used to categorize isolates as the concordant pulsotypes (CP) , and the others were grouped as the discordant pulsotypes (DP).
Medians and interquartile ranges were calculated for continuous variables, and percentages for categorical variables. Continuous variables were compared using a Mann–Whitney U test, and categorical variables using a χ2 test or a 2-tailed Fisher’s exact test, as appropriate. Conditional logistic regression analyses were performed to analyze the risk factors of subsequent infections among VREfm colonizers. Additionally, the Kaplan-Meier analysis was performed to compare the time to subsequent infections between CP and DP groups among case patients. A log-rank test was used to test the differences between the above two groups at the end of follow-up. Logistic regression analyses were also used to analyze the predictors of the CP group among the case patients. Variables with a P value of 0.1 or less in the univariable analysis, or those with potential biological meanings, were included in the multivariable analysis. Multivariable models were developed using a stepwise method, using minimization of the Akaike information criterion (AIC). Following the stepwise AIC selection, only variables with P values of 0.05 or less were considered significant and included in the final model. The analyses were performed using Stata software (version 14; StataCorp, College Station, TX). Two-sided P values less than 0.05 were considered significant.
Clinical characteristics of VREfm colonizers and those with subsequent infections
A total of 2631 patients had positive results for active VREfm surveillance during the study period. Ninety-seven (3.2%) VREfm colonized patients who had subsequent VREfm infections were defined as case patients. One hundred and ninety-four patients matched with age and gender were selected from the control pool as matched control patients.
Table 1 shows the comparisons of demographics and clinical characteristics between the case- and matched-control patients. Compared to matched-control patients, case patients were likely to have a higher Charlson score, moderate-to-severe renal disease, ICU admission, and neutropenia, and newly-received hemodialysis, GI intervention, parental hyperalimentation, and central venous catheters (CVC) (all P < 0.05). As for utilization of antibiotics, case patients tended to receive third- or fourth-generation cephalosporins, carbapenems, glycopeptide, fluoroquinolone, and linezolid (all P < 0.05). As for subsequent infection, 40 case patients had bloodstream infections, 53 urinary tract infections, 3 surgical site infections, and one intra-abdominal infections.
By conditional multivariable logistic regression, independent risk factors for developing subsequent infections among VREfm colonizers were intensive care unit (ICU) admission (adjusted odds ratio [aOR], 9.32; 95% CI, 3.61–24.02), receipt of central venous catheters (CVC) (aOR, 3.38; 95% CI, 1.30–8.82), and utilization of third- and fourth-generation cephalosporins (aOR, 4.06; 95% CI, 1.79–9.20, and aOR, 5.32; 95% CI, 1.85–10.29, respectively) (all P ≤ 0.01).
Molecular typing of vancomycin-resistant Enterococcus faecium colonization and infection-related isolates
A total of 357 VREfm isolates were collected. There were 97 paired isolates among cases, and only 162 isolates available among the matched controls. Distributions of sequence types of colonization and infection-related isolates in cases, and colonization isolates in controls, were not significantly different (Table 2). Sequence type (ST) 17 was the most prevalent ST among colonization isolates in case and control groups, and among subsequent infection-related isolates, ranging from 34.0 to 42.0%. The rests were genetically related to ST17. Of note, 61 paired isolates from the case group shared the same STs, including 26 (42.6%) belonging to ST17; 13 (21.3%) belonging to ST78; 10 (16.4%) belonging to ST341; 8 (13.1%) belonging to ST414; 1 (1.6%) belonging to ST18; and 4 (6.5%) belonging to three different sequence types (ST203 [n = 2], ST671 [n = 1], and ST1022 [n = 1]). All these STs among paired isolates belonged to the clonal complex 17 (CC17) VREfm.
Ninety-seven paired isolates among cases consisted of 64 pulsotypes (PFT) in 29 groups by PFGE (Fig. 1). Of them, 56 (57.7%) paired isolates showed the concordant pulsotypes (CP) between their colonization and infection-related isolates. These included six pairs (10.7%) belonging to PFT 6, followed by PFT 1 (n = 4, 7.1%), PFT 28 (n = 4, 7.1%), PFT 2 (n = 3, 5.4%), and PFT 48 (n = 3, 5.4%). The PFTs of the remaining 36 pairs (64.3%) were very diverse (29 different PFTs).
Clinical characteristics and predictors for patients with the concordant pulsotypes of vancomycin-resistant Enterococcus faecium infections
Figure 2 shows the cumulative proportions of subsequent VREfm infections in CP and DP groups using a Kaplan-Meier curve. The time to subsequent infections among the CP group was significantly shorter than that among the DP group (long-rank test P = 0.003).
As shown in Table 3, by multivariable logistic analysis, predictors for the CP group were ICU admission (aOR, 3.74; 95% CI, 1.38–10.13, P = 0.009), early infection (aOR, 3.34; 95% CI, 1.25–8.91, P = 0.02), and cerebrovascular disease (aOR, 0.22; 95% CI, 0.06–0.78, P = 0.02). No utilization of specific antibiotics was independently associated with the CP group, except fluoroquinolones showing a decreased odds ratio with borderline significance. In addition, common PFTs of colonization isolates, including PFT 1, PFT 6, PFT 16, PFT 23, and PFT 28, were not associated with CP.
As VREfm infection has become one of leading threats in healthcare systems, having a preventive strategy plays an important role, along with limited, effective antibiotics. Thus, identifications of modifiable risk factors for developing VREfm infection is an urgent task, because effective preventive approaches can only be constructed after they are disclosed. Our study not only found clinical predictors for subsequent infections among VREfm colonized patients, but also further elucidated critically ill patients, and those with short spans between colonization and infection status, had a greater risk of being infected by preceding colonized VREfm isolates, confirmed by using molecular typing methods. Of note, our study echoed that most colonization and infection-related VREfm isolates belonged to CC17, a global epidemic clone complex.
Our analysis demonstrated that admission to ICU, and receipt of CVC, and broad-spectrum cephalosporins, including 3rd- and 4th-generation, are the clinical predictors for hospitalized patients from VREfm colonization to infection. These findings are aligned with prior studies identifying several healthcare-associated risk factors, including receipt of broad spectrum antibiotics and presence of hemodialysis catheters [26,27,28]. All aforementioned findings suggesting antibiotics selection pressure and certain healthcare factors, especially different catheter types, are important triggers for VREfm from colonization to infection. Therefore, our findings support the current evidence that bundle care and antibiotics stewardship are parts of an effective preventive strategy against VREfm infection [22, 29].
Utilization of glycopeptide was a recognized risk factor for acquisition and/or infections of VRE [30, 31]. But our findings and others showed that utilization of glycopeptide didn’t become one of predictors for subsequent VREfm infection in the final multivariable analysis [26, 28]. One possible explanation was that among our targeted patients, more than half of them (51.7%, 31/60) receiving glycopeptide also received 3rd- and 4th-generation cephalosporins during their follow-up periods. The high collinearity precludes these factors from being putting into the same statistical model simultaneously. Therefore, these antibiotics classes might not be considered independently but assumed to affect together .
We also investigated whether subsequent VRE infections came from previous anal colonization by whether paired isolates shared a similar or identical genetical relationship defined by PFGE. We found ICU stay was independently associated with concordant paired isolates. In contrast, the findings that patients with CVA were less likely to have concordant paired isolates might be attributed to utilization of less CVC (64.7% vs. 93.8%, P < 0.002). Our findings again suggested that more antibiotics selection pressure and indwelling catheters may trigger VREfm from colonization to infection, especially in critically ill patients.
Interestingly, our findings also revealed the shorter span between colonization and infection predicted the risks of concordant VRE paired isolates. Prior studies have shown that the shorter time intervals between paired VRE samplings, either from two colonization events, or from two infection events, the more likely VRE strains are similar/identical [32,33,34]. Our findings echoed the fact that VREfm colonization in humans is dynamic over time. However, the mechanisms of VREfm dynamics caused by either strain replacement of VREfm colonization, or by introduction of a new strain after resolution of primary VREfm colonization in the same patients, remains unclear. Large follow-up studies in VREfm colonized patients are warranted to demonstrate the potential mechanisms of VREfm dynamics.
As for the molecular typing of VREfm colonized and infection-related isolates, prior investigations have demonstrated CC17 VREfm is the dominant colonized and infection strain. Few studies have depicted CC17 VREfm from colonization to infection by using paired isolates from the same patients . Our study, to our best knowledge, was the largest cohort to demonstrate this relation of CC17 VREfm. However, one major caveat of MLST to trace genetic relatedness of VREfm is that it is less discrimitive, because gene recombination is a common mechanism of genetic variation among VREfm . Our findings, that the numbers of concordant paired isolates defined by PFGE were less than those defined by MLST (numbers of paired isolates: 56 vs. 62), suggested more discriminative power by PFGE compared to MLST in VREfm isolates. This finding further echoes the recommendations that PFGE is a more robust molecular typing method to distinguish the genetic relatedness of different VREfm isolates .
There were several limitations in this study. First, selection bias was inevitable in a case-control design. Second, caution should be taken in generalizing our findings given VREfm colonizers in our cohort were only identified through active surveillance by anal swabs among targeted high-risk population in a single center. We did not analyze data of those with VREfm colonization identified by clinical specimens. Third, even though our study lacked a whole genome sequence (WGS) to discriminate the genetic relatedness between colonization and infection isolates, previous studies have demonstrated a high threshold of PFGE similarities, as set in this study, and so have comparably discriminative power to WGS .
Our results suggest ICU stay, receipt of CVC or broad-spectrum antibiotics were the potential driving forces for VREfm from gastrointestinal colonization to infection. More specifically, ICU stay was associated with higher odds for subsequent infections among VREfm colonizers when concordant paired isolates were considered. Additionally, early infection within 30 days after identification of VRE colonization was another indicator for concordant paired isolates. Further investigations are warranted to determine whether specific driving forces exist in this specific patient group. Once such predictors are identified, these findings may be applied to form add-on infection control measurements to prevent VREfm infections among these vulnerable patients.
Availability of data and materials
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
The Akaike information criterion
Adjusted odds ratio
Central venous catheter
Intensive care unit
Multilocus sequence typing
Pulsed-field gel electrophoresis
Society for Healthcare Epidemiology of America
Unweighted-pair group method using average linkages
Vancomycin resistant Enterococcus faecium
Whole genome sequence
Magill SS, O'Leary E, Janelle SJ, Thompson DL, Dumyati G, Nadle J, et al. Changes in prevalence of health care-associated infections in U.S. hospitals. N Engl J Med. 2018;379:1732–44.
Cattoir V, Leclercq R. Twenty-five years of shared life with vancomycin-resistant enterococci: is it time to divorce? J Antimicrob Chemother. 2013;68:731–42.
Guzman Prieto AM, van Schaik W, Rogers MR, Coque TM, Baquero F, Corander J, et al. Global emergence and dissemination of enterococci as nosocomial pathogens: attack of the clones? Front Microbiol. 2016;7:788.
Centres for Disease Control and Prevention, US Department of Health and Human Services. Antibiotic resistance threats in the United States. Atlanta: CDC; 2013. https://www.cdc.gov/drugresistance/pdf/ar-threats-2013-508.pdf. Access 23 Sept 2019
European Centre for Disease Prevention and Control. Surveillance of Antimicrobial Resistance in Europe – Annual Report of the European Antimicrobial Resistance Surveillance Network (EARS-Net) 2017. Stockholm: ECDC; 2018. https://www.ecdc.europa.eu/sites/portal/files/documents/EARS-Net-report-2017-update-jan-2019.pdf. Access 23 Sept 2019
Park SH, Park C, Choi SM, Lee DG, Kim SH, Kwon JC, et al. Molecular epidemiology of vancomycin-resistant Enterococcus faecium bloodstream infections among patients with neutropenia over a 6-year period in South Korea. Microb Drug Resist. 2011;17:59–65.
Lu CL, Chuang YC, Chang HC, Chen YC, Wang JT, Chang SC. Microbiological and clinical characteristics of vancomycin-resistant Enterococcus faecium bacteraemia in Taiwan: implication of sequence type for prognosis. J Antimicrob Chemother. 2012;67:2243–9.
Sun H, Wang H, Xu Y, Jones RN, Costello AJ, Liu Y, et al. Molecular characterization of vancomycin-resistant Enterococcus spp. clinical isolates recovered from hospitalized patients among several medical institutions in China. Diagn Microbiol Infect Dis. 2012;74:399–403.
Leong KWC, Cooley LA, Anderson TL, Gautam SS, McEwan B, Wells A, et al. Emergence of vancomycin-resistant Enterococcus faecium at an Australian hospital: a whole genome sequencing analysis. Sci Rep. 2018;8:6274.
Chuang YC, Lin HY, Chen PY, Lin CY, Wang JT, Chen YC, et al. Effect of daptomycin dose on the outcome of vancomycin-resistant, daptomycin-susceptible Enterococcus faecium bacteremia. Clin Infect Dis. 2017;64:1026–34.
Raven KE, Gouliouris T, Brodrick H, Coll F, Brown NM, Reynolds R, et al. Complex routes of nosocomial vancomycin-resistant Enterococcus faecium transmission revealed by genome sequencing. Clin Infect Dis. 2017;64:886–93.
Zhen X, Lundborg CS, Sun X, Hu X, Dong H. Economic burden of antibiotic resistance in ESKAPE organisms: a systematic review. Antimicrob Resist Infect Control. 2019;8:137.
Ziakas PD, Thapa R, Rice LB, Mylonakis E. Trends and significance of VRE colonization in the ICU: a meta-analysis of published studies. PLoS One. 2013;8:e75658.
Alevizakos M, Gaitanidis A, Nasioudis D, Tori K, Flokas ME, Mylonakis E. Colonization with vancomycin-resistant Enterococci and risk for bloodstream infection among patients with malignancy: a systematic review and meta-analysis. Open Forum Infect Dis. 2017;4:ofw246.
Fridkin SK, Edwards JR, Courval JM, Hill H, Tenover FC, Lawton R, et al. The effect of vancomycin and third-generation cephalosporins on prevalence of vancomycin-resistant enterococci in 126 U.S. adult intensive care units. Ann Intern Med. 2001;135:175–83.
Hayden MK, Bonten MJ, Blom DW, Lyle EA, van de Vijver DA, Weinstein RA. Reduction in acquisition of vancomycin-resistant Enterococcus after enforcement of routine environmental cleaning measures. Clin Infect Dis. 2006;42:1552–60.
Sakka V, Tsiodras S, Galani L, Antoniadou A, Souli M, Galani I, et al. Risk-factors and predictors of mortality in patients colonised with vancomycin-resistant enterococci. Clin Microbiol Infect. 2008;14:14–21.
Zacharioudakis IM, Zervou FN, Ziakas PD, Rice LB, Mylonakis E. Vancomycin-resistant enterococci colonization among dialysis patients: a meta-analysis of prevalence, risk factors, and significance. Am J Kidney Dis. 2015;65:88–97.
Valdezate S, Miranda C, Navarro A, Freitas AR, Cabrera JJ, Carrasco G, et al. Clonal outbreak of ST17 multidrug-resistant Enterococcus faecium harbouring an Inc18-like::Tn1546 plasmid in a haemo-oncology ward of a Spanish hospital. J Antimicrob Chemother. 2012;67:832–6.
Ryan L, O'Mahony E, Wrenn C, FitzGerald S, Fox U, Boyle B, et al. Epidemiology and molecular typing of VRE bloodstream isolates in an Irish tertiary care hospital. J Antimicrob Chemother. 2015;70:2718–24.
Marchi AP, Perdigao Neto LV, Martins RCR, Rizek CF, Camargo CH, Moreno LZ, et al. Vancomycin-resistant enterococci isolates colonizing and infecting haematology patients: clonality, and virulence and resistance profile. J Hosp Infect. 2018;99:346–55.
Muto CA, Jernigan JA, Ostrowsky BE, Richet HM, Jarvis WR, Boyce JM, et al. SHEA guideline for preventing nosocomial transmission of multidrug-resistant strains of Staphylococcus aureus and Enterococcus. Infect Control Hosp Epidemiol. 2003;24:362–86.
Horan TC, Andrus M, Dudeck MA. 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;36:309–32.
Pan SC, Wang JT, Chen YC, Chang YY, Chen ML, Chang SC. Incidence of and risk factors for infection or colonization of vancomycin-resistant enterococci in patients in the intensive care unit. PLoS One. 2012;7:e47297.
Chuang YC, Wang JT, Chen ML, Chen YC. Comparison of an automated repetitive-sequence-based PCR microbial typing system with pulsed-field gel electrophoresis for molecular typing of vancomycin-resistant Enterococcus faecium. J Clin Microbiol. 2010;48:2897–901.
Carmeli Y, Eliopoulos GM, Samore MH. Antecedent treatment with different antibiotic agents as a risk factor for vancomycin-resistant Enterococcus. Emerg Infect Dis. 2002;8:802–7.
Kim YJ, Kim SI, Kim YR, Lee JY, Park YJ, Kang MW. Risk factors for vancomycin-resistant enterococci infection and mortality in colonized patients on intensive care unit admission. Am J Infect Control. 2012;40:1018–9.
Kampmeier S, Kossow A, Clausen LM, Knaack D, Ertmer C, Gottschalk A, et al. Hospital acquired vancomycin resistant enterococci in surgical intensive care patients - a prospective longitudinal study. Antimicrob Resist Infect Control. 2018;7:103.
Siegel JD, Rhinehart E, Jackson M, Chiarello L, Healthcare Infection Control Practices Advisory C. Management of multidrug-resistant organisms in health care settings, 2006. Am J Infect Control. 2007;35(Suppl 2):S165–93.
Zaas AK, Song X, Tucker P, Perl TM. Risk factors for development of vancomycin-resistant enterococcal bloodstream infection in patients with cancer who are colonized with vancomycin-resistant enterococci. Clin Infect Dis. 2002;35:1139–46.
Olivier CN, Blake RK, Steed LL, Salgado CD. Risk of vancomycin-resistant Enterococcus (VRE) bloodstream infection among patients colonized with VRE. Infect Control Hosp Epidemiol. 2008;29:404–9.
Baran J Jr, Riederer KM, Ramanathan J, Khatib R. Recurrent vancomycin-resistant Enterococcus bacteremia: prevalence, predisposing factors, and strain relatedness. Clin Infect Dis. 2001;32:1381–3.
Karki S, Land G, Aitchison S, Kennon J, Johnson PD, Ballard SA, et al. Long-term carriage of vancomycin-resistant enterococci in patients discharged from hospitals: a 12-year retrospective cohort study. J Clin Microbiol. 2013;51:3374–9.
Sohn KM, Peck KR, Joo EJ, Ha YE, Kang CI, Chung DR, et al. Duration of colonization and risk factors for prolonged carriage of vancomycin-resistant enterococci after discharge from the hospital. Int J Infect Dis. 2013;17:e240–6.
Kim SH, Cho SY, Kim HM, Oh S, Jang S, Mun S, et al. The clinical significance of sequence type 17 of vancomycin-resistant Enterococcus faecium. Open Forum Infect Dis. 2018;5(Suppl 1):S235.
Turner KM, Hanage WP, Fraser C, Connor TR, Spratt BG. Assessing the reliability of eBURST using simulated populations with known ancestry. BMC Microbiol. 2007;7:30.
Nutman A, Marchaim D. How to: molecular investigation of a hospital outbreak. Clin Microbiol Infect. 2019;25:688–95.
Pinholt M, Larner-Svensson H, Littauer P, Moser CE, Pedersen M, Lemming LE, et al. Multiple hospital outbreaks of vanA Enterococcus faecium in Denmark, 2012-13, investigated by WGS, MLST and PFGE. J Antimicrob Chemother. 2015;70:2474–82.
It is acknowledged that in the data collection we obtained valuable help from Center for Infection control, NTUH.
This study was supported partially by the Ministry of Science and Technology, Taiwan (104–2314-B-002-103-MY3, and 104–2314-B-002-109-MY3), the Ministry of Health and Welfare, Taiwan (MOHW107-TDU-B-211-123002), and National Taiwan University Hospital (NTUH.106-M3676). The funding source played no role in study design and conduct, data collection, analysis or interpretation, writing of the manuscript, or the decision to submit it for publication.
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This study was approved by the Institutional Ethics Review Board of NTUH (201412062RINB).
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Chen, PY., Chuang, YC., Wang, JT. et al. Predictors for vancomycin resistant Enterococcus faecium transforming from colonization to infection: a case control study. Antimicrob Resist Infect Control 8, 196 (2019). https://doi.org/10.1186/s13756-019-0647-7
- Vancomycin-resistant Enterococci
- Active surveillance
- Pulsed-field gel electrophoresis
- Multilocus sequence typing
- Clonal complex 17