A ten-year review of ESBL and non-ESBL Escherichia coli bloodstream infections among children at a tertiary referral hospital in South Africa
Authors:
Oliver Ombeva Malande aff001; James Nuttall aff001; Vashini Pillay aff001; Colleen Bamford aff003; Brian Eley aff001
Authors place of work:
Paediatric Infectious Diseases Unit, Red Cross War Memorial Children’s Hospital, Cape Town, South Africa
aff001; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa
aff002; National Health Laboratory Service, Groote Schuur Hospital, Cape Town, South Africa
aff003; Division of Microbiology, University of Cape Town, Cape Town, South Africa
aff004
Published in the journal:
PLoS ONE 14(9)
Category:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0222675
Summary
Introduction
There are few studies describing Escherichia coli (E. coli) bloodstream infection (BSI) among children in Africa, yet E.coli is increasing in importance as a cause of antibiotic resistant infection in paediatric settings.
Methods
In this retrospective, descriptive study aspects of E. coli BSI epidemiology are described over a 10-year period including incidence risk, risk factors for extended-spectrum β-lactamase (ESBL)-producing E. coli BSI, antibiotic susceptibility of the bacterial isolates and outcome including risk factors for severe disease.
Results
There were 583 new E. coli BSI episodes among 217,483 admissions, an overall incidence risk of 2.7 events/1,000 hospital admissions. Of 455 of these E. coli BSI episodes that were analysed, 136 (29.9%) were caused by ESBL-producing isolates. Risk factors for ESBL-producing E. coli BSI included hospitalization in the 28-day period preceding E. coli BSI episodes, having an underlying chronic illness other than HIV infection at the time of the E. coli BSI and having a temperature of 38° Celsius or higher at the time of the E. coli BSI. None of the E. coli isolates were resistant to carbapenems or colistin. The mortality rate was 5.9% and admission to the intensive care unit was required in 12.3% of BSI episodes. Predictors of severe disease included age less than 1 month, hospitalization in the 28-day period preceding E. coli BSI and BSI without a definable focus.
Conclusions
These findings extend our understanding of E. coli BSI in a sub-Saharan African setting, provide useful information that can guide empiric treatment choices for community- and hospital-acquired BSI and help inform prevention strategies.
Keywords:
Hospitals – antibiotics – HIV infections – Medical risk factors – Escherichia coli – Escherichia coli infections – Nosocomial infections – Bloodstream infections
Introduction
Although Escherichia coli (E. coli) is an important cause of bloodstream infection (BSI), there are few studies that have described the epidemiology of this infection in children who live in low- and middle-income countries. [1] Recent research has shown that Klebsiella pneumoniae and E. coli, both species of the family Enterobacteriaceae, are the most prevalent gram-negative pathogens isolated from children with BSI in Cape Town. [2, 3, 4] Furthermore, E. coli can cause community-acquired or hospital-acquired BSI in children and adults. [5, 6]
Multi-drug resistance caused by extended-spectrum β-lactamase (ESBL) production among Enterobacteriaceae is a global concern in paediatric and adult healthcare settings. Extended-spectrum β-lactamases are enzymes that (1) hydrolyse oxyiminocephalosporins (e.g. ceftriaxone and ceftazidime) and monobactams, (2) do not inactivate the cephamycins (e.g. cefoxitin) and carbapenems, and (3) are inhibited by β-lactamase inhibitors such as clavulanic acid and tazobactam. E. coli and K. pneumoniae are two of the main ESBL-producing microorganisms in clinical practice. [7, 8] The most frequently encountered ESBLs in clinical isolates are members of the SHV, TEM and CTX-M families. Extended-spectrum β-lactamases from all three families have been identified in Enterobacteriaceae species cultured from clinical sites in South African patients. [9, 10] Patients with infections caused by ESBL-producing Enterobacteriaceae may experience poor outcome because of delays in initiating effective antimicrobial therapy and/or lack of availability of limited antibiotic options, resulting in high mortality.[11] The World Health Organization (WHO) has included cephalosporin-resistant Enterobacteriaceae in its group of priority 1 pathogens, for which research and development of new antibiotic options are urgently required. [12]
A recent study described the epidemiology of K. pneumoniae BSI in children treated at Red Cross War Memorial Children’s Hospital (RCWMCH) in Cape Town over a six-year period [11]. In the present complementary study we describe the clinical presentation, treatment and outcome of E. coli BSI, risk factors for ESBL-producing E. coli BSI (ESBL-ECBSI), antibiotic susceptibility of E. coli isolates, and predictors of severe disease in children at RCWMCH over a ten-year period.
Methods
Study design and setting
This retrospective, descriptive study was conducted at RCWMCH in children hospitalised with E. coli BSI between 1 January 2005 and 31 December 2014. Red Cross War Memorial Children’s Hospital in Cape Town, South Africa, serves as a major tertiary-level referral centre for sick children aged 0 to 13 years.
Data collection
Relevant demographic and clinical data were extracted from the medical records. HIV test results and antibiotic susceptibility results were obtained from the NHLS laboratory database and also entered on the data collection forms.
Microbiological procedures
Microbiological testing of blood culture specimens was performed at the Medical Microbiology Laboratory of the NHLS, based at Groote Schuur Hospital, using the BACTEC 9240 automated blood culture system (Becton Dickinson, Maryland, USA) between 2005 and 2012, and the BacT/ALERT automated blood culture system ((bioMererieux Inc., Durham, NC, USA) from 2013–2014. Identification of E. coli and antibiotic susceptibility testing was carried out on the automated Vitek®2 system (bioMérieux, Inc., France) using Vitek®2 ID-GNB and AST-N255 cards. Susceptibility results were interpreted according to the Clinical Laboratory Standards Institute (CLSI) criteria for the relevant years from 2005–2014. [13–22]
The presence of ESBLs was determined by the Vitek® 2 Advanced Expert system, but due to limitations of the laboratory information system, the presence of an ESBL was not routinely reported in a standardized manner on the laboratory report. The laboratory, in line with the contemporary national practice, continued to report all ESBL- producing Enterobacteriaceae as resistant to all cephalosporins, apart from cefoxitin, even after the changes to reporting of cephalosporin susceptibility in ESBL-producing organisms introduced by CLSI in 2010.
Definitions
Hospital-acquired Escherichia coli bloodstream infection (HA-ECBSI): Escherichia coli bloodstream infection detected 48 hours or more after hospital admission and not incubating at the time of hospitalization, adapted from reference [23].
Healthcare-associated Escherichia coli bloodstream infection (HCA-ECBSI): Escherichia coli bloodstream infection detected within 48 hours of hospital admission in children who have had contact with the healthcare service including admission to an intermediate care facility during the one year period preceding hospitalization. An intermediate facility provides step-down care for children recovering from acute illness, usually for an average duration of 6 weeks, adapted from reference [23].
Community-acquired Escherichia coli bloodstream infection (CA-ECBSI): Escherichia coli bloodstream infection detected within 48 hours of hospital admission without previous contact with the healthcare service, adapted from reference [23].
ESBL-producing Escherichia coli (ESBL-EC): Based on local laboratory reporting practices as described above, ESBL-production was assumed if Escherichia coli isolates were reported as resistant to all cephalosporins, apart from cefoxitin.
HIV infection: A positive HIV DNA PCR result confirmed by either a HIV RNA PCR or repeat HIV DNA PCR test in a child <18 months old, or 2 positive serological test results (HIV Rapid test or HIV ELISA) or a positive HIV DNA PCR result confirmed by either a HIV RNA PCR or repeat HIV DNA PCR test in a child >18 months old was regarded as HIV-infected.[24]
Nutritional status: moderate and severe underweight were defined as weight-for-age z score (WAZ) between -2 and -3 standard deviations (SD) below the median WHO growth reference standards, and a WAZ < -3 SD respectively. Weight-for-age z score was derived from bodyweight at the time of the BSI episode using the WHO anthropometric calculator.[25]
Antibiotic exposure in the preceding 12 months: Exposure to an antibiotic for 48 hours or more during the 12-month period preceding the development of E. coli BSI Exposure to 2 or more selective antibiotics/antibiotic classes in the preceding 12 months: Exposure to 2 or more selective antibiotics of the 3rd generation cephalosporins, fluroquinolones, carbapenems, aminoglycosides and piperacillin-tazobactam, each for a period of 48 hours or more during the 12-month period preceding the development of E. coli BSI Successful treatment: Recovery after treatment with antibiotics to which the isolate was susceptible.
Coagulopathy: An elevated out of age range prothrombin time of ≥2 seconds or an activated partial thromboplastin time of ≥60 seconds or a depressed fibrinogen level of <2 μmol/L[26,27]
Severe disease: Because of the low mortality recorded in this study, we were unable to evaluate predictors of death. Instead we adopted the approach of a previous study that explored predictors of severe disease. In this study we used the same definition of severe disease, namely, E. coli BSI requiring treatment in the intensive care unit (ICU) and / or death during an E. coli BSI episode. [1]
Statistical analysis
The data was entered into Epidata version 3.1, analysed in Stata version 12.0 (StataCorp, College Station, Texas). Continuous variables were compared using the Wilcoxon rank-sum test for independent samples, and categorical variables were evaluated using the chi-square test or unadjusted Odds ratio and 95% confidence intervals (CI). For the Wilcoxon rank-sum and chi-square tests a p value of <0.05 was considered statistically significant.
Univariable analyses and multivariable logistic regression were used to identify risk factors associated with ESBL-ECBSI and severe disease. All multivariable logistic regression models were build by stepwise backward selection, incorporating variables which on univariable analyses had a p value <0.10. The results of the multivariable logistic regression models were expressed as adjusted Odds ratio (aOR) and 95% CI. Two different sets of analyses were performed. Firstly, in exploring factors associated with ESBL-ECBSI, ESBL-ECBSI was treated as the outcome or dependant variable. Potential risk factors evaluated in this analysis included gender, age category, HIV status, preceding hospitalization, underweight, temperature ≥38° Celsius, selective or multiple antibiotic exposure in the preceding 12 months, residency in an intermediate level health care facility, prolonged (>30 days) immunosuppressive therapy and underlying chronic illness other than HIV infection. The second set of analyses explored predictors of severe disease. In these analyses ESBL-ECBSI was treated as an exposure or independent variable along with other variables including gender, age category, hospitalization in the preceding 28-day period, underweight, HIV status, prolonged exposure to immunosuppressive therapy, underlying chronic disease other than HIV infection, hospital-acquired E. coli BSI and BSI without a definable focus. Both sets of analyses were repeated with the recurrent E. coli BSI episodes excluded from the dataset, to determine whether these recurrent episodes skewed the results of the multivariable logistic regression models.
Ethical considerations
The study was conducted in accordance with the Declaration of Helsinki. It was approved by the Human Research Ethics Committee, Faculty of Health Sciences, University of Cape Town, reference number: HREC REF 699/2014, and the Research Committee of RCWMCH. Patient consent was not obtained because the data was collected and analysed retrospectively.
Results
Study participants
The medical microbiology laboratory database of the National Health Laboratory Service (NHLS) was searched and 647 positive E. coli blood culture results from children treated at RCWMCH were identified during the ten-year study period. Among these blood culture results, 64 repeat blood cultures performed within 30 days of diagnosing E. coli BSI on the initial blood culture, and yielding an E. coli isolate with a similar antibiogram to the initial isolate, were regarded as part of the same BSI episode and therefore excluded. The remaining 583 E. coli blood culture results represented 583 unique E. coli BSI episodes and were thus used to calculate incidence risk.
The medical records of the children were requested from the records department at RCWMCH to complete the clinical data extraction. Unfortunately, 57 of these records could not be found and a further 71 had incomplete data relating to the E. coli BSI episodes. These E. coli BSI episodes were excluded from further analysis. Thus clinical data of the remaining 455 E. coli episodes from 443 children, and microbiology data of 455 initial E. coli isolates relating to the 455 E. coli BSI episodes (one isolate per E. coli BSI episode) were used in the remaining analyses. Twelve of the patients each experienced 2 separate E.coli BSI episodes (recurrent E. coli BSI) during the study period. One hundred and thirty six of the 455 BSI episodes (29.9%) were caused by cephalosporin-resistant E. coli isolates and assumed to be ESBL-producing isolates (Fig 1).
Risk of E.coli BSI
During the study period 583 new E.coli BSI episodes were identified; 138/583 (23.7%) were caused by ESBL-producing isolates and 445/583 (76.3%) by non-ESBL-producing isolates. During this period there were 217,483 admissions to RCWMCH. The incidence risks over the entire study period were 2.7 E. coli BSI episodes per 1,000 hospital admissions, 0.6 ESBL-ECBSI episodes / 1,000 hospital admissions and 2.1 non-ESBL-producing E. coli BSI episodes / 1,000 hospital admissions. The annual risk of E. coli BSI declined from 3.2 episodes / 1,000 hospital admissions in 2005 to 2.5 episodes / 1,000 hospital admissions in 2014. A similar trend was observed in non-ESBL-producing E. coli annual BSI risk, decreasing from 2.7 episodes / 1,000 hospital admissions in 2005 to 1.4 episodes / 1,000 hospital admissions in 2014. By contrast, the annual risk of ESBL-ECBSI episodes increased over the study period from 0.5 episodes / 1,000 hospital admissions in 2005 to 1.1 episodes / 1,000 hospital admissions in 2014, with most of this increase occurring from 2010 onwards (Fig 2)
Patient characteristics at the time of E. coli BSI
The median age (interquartile range) did not differ significantly in children with ESBL-ECBSI episodes compared to those with non-ESBL-producing E. coli BSI episodes, 7 (2, 16) months versus 8 (2, 18) months, p = 0.68. Table 1 summarizes baseline characteristics of the 455 participants at the time of each unique BSI episode and disaggregates the information according to the phenotype of E.coli causing the BSI.
Risk factors for ESBL-producing E. coli BSI
On multivariable logistic regression analysis, hospitalization in the 28-day period preceding the E. coli BSI episode, exposure to intravenous piperacillin-tazobactam during the preceding 12 months, residency in an intermediate health care facility, having an underlying chronic illness other than HIV infection at the time of the E. coli BSI, and having a temperature of 38° Celsius or higher at the time of the E. coli BSI were significant risk factors for the acquisition of ESBL-ECBSI (Table 2, model 1). When the 12 recurrent E. coli BSI episodes were removed from the multivariable logistic regression model, these risk factors remained statistically significant with the exception of residency in an intermediate health care facility (Table 2, model 2). In a separate multivariable logistic regression model, exposure to 2 or more selective antibiotics / antibiotic classes in the12-month period preceding E. coli BSI was not shown to be a risk factor for ESBL-ECBSI.
Clinical manifestations
The majority of ESBL-producing E. coli isolates were hospital-acquired or healthcare-associated. By contrast many of the non-ESBL-producing isolates were community-acquired. Bloodstream infection without a definable site of infection was the major infection type. Of all the E. coli BSI episodes with definable infection sites, urinary tract infection and gastroenteritis were the common infections (Table 3).
Antibiotic susceptibility
The median (IQR) time from admission to a positive blood culture was 1(1–3) days, range: 1–80 days. The antibiotic susceptibilities of ESBL-producing and non-ESBL-producing E. coli isolates are summarized in Table 4. Whereas 45% (58/129) of HA-ECBSI, 83.4% (171/205) of CA-ECBSI and 67.8% (82/121) of HCA-ECBSI isolates were susceptible to the combination of ampicillin plus gentamicin, 81% (85/105) of HA-ECBSI, 94.4% (168/178) of CA-ECBSI and 87.3%(89/102) of HCA-ECBSI isolates were susceptible to the combination of piperacillin-tazobactam plus amikacin.
Antibiotic therapy
The median (IQR) duration of antibiotic therapy was 9 (5–14) days. The median (IQR) duration of antibiotic therapy was significantly longer for ESBL-ECBSI than non- ESBL E. coli BSI episodes, 10 (7–14) days vs 7 (5–14) days, p<0.001. Empiric and definitive antibiotic treatment is summarized in Table 3. During most of the 10 year study period, piperacillin-tazobactum and amikacin combination was the empiric choice for suspected hospital acquired infection. Third generation cephalosporin therapy was the predominant choice for both empiric and definitive treatment, while a carbapenem was the definitive antibiotic option in 77% of all ESBL-ECBSI episodes.
Outcome of E.coli BSI
The median (IQR) total duration of hospitalization was 10 (5–20) days, and significantly longer for ESBL-ECBSI than non- ESBL E. coli BSI episodes, 15 (10–25) days vs 8 (5–15) days, p<0.01. While 90% of the E. coli BSI episodes were successfully treated, the outcome of 18 episodes could not be determined because the patients associated with these episodes were transferred to level 1 or 2 hospitals to complete antibiotic therapy (Table 3). During the study period, 27 children died within 30 days of the onset of the E. coli BSI. Although mortality rate was higher in ESBL-ECBSI episodes this was not statistically significant, 8.1% vs 5.0%, p = 0.29. Of the 106 ESBL E. coli BSI episodes treated with a carbapenem, 11 (10,4%) resulted in death, four of these 11 episodes had initially been treated with piperacillin-tazobactam plus amikacin before changing to definitive carbapenem therapy, while 8 of the 30 (26.7%) ESBL E. coli BSI episodes treated with piperacillin-tazobactam plus amikacin died, p = 0.03.The clinical course of 10% of E coli BSI episodes was complicated by coagulopathy and 12% required admission to the ICU for advanced care and/or monitoring. A significantly higher proportion of ESBL-ECBSI than non- ESBL E. coli BSI episodes required ICU admission, 19.1% vs 9.4%, p = 0.008 (Table 3).
Predictors of severe disease
On multivariable logistic regression, age less than 1 month, moderate or severe underweight for age, hospitalization in the 28-day period preceding E. coli BSI, having an underlying chronic illness other than HIV infection and BSI without a definable focus were predictors of severe disease (Table 5). However, when the 12 recurrent E. coli BSI episodes were removed from the dataset and the logistic regression model repeated, only age less than 1 month, aOR 3.0 (95% CI: 1.6–5.7), hospitalization in the 28-day period preceding E. coli BSI, aOR 2.9 (95% CI: 1.6–5.3) and BSI without a definable focus, aOR 2.8 (95% CI: 1.4–5.9) remained statistically significant. In both logistic regression models, ESBL-ECBSI was not associated with severe disease.
Discussion
The present study provides a more detailed description of the clinical and microbiological aspects of E. coli BSI at our institution than a previous BSI study.[4] The overall incidence risk of E. coli BSI of 2.7 episodes / 1000 hospital admissions was lower than the incidence risk of Klebsiella pneumoniae BSI of 3.08 episodes / 1000 hospital admissions estimated over a 5-year period from 2006 to 2011.[11] Classification of BSI according to the route of acquisition revealed further differences between E. coli and K. pneumoniae BSI at our institution. Whilst more than 80% of K. pneumoniae BSI episodes were hospital-acquired, the results of the present study showed that only 28% of E. coli BSI episodes were hospital-acquired. Furthermore, 52 and 18 in every 100 ESBL-ECBSI episodes in the present study were hospital-acquired or community-acquired respectively, compared to the previous K. pneumoniae study which showed that 92 and 2 in every 100 ESBL K. pneumoniae BSI episodes were hospital acquired or community-acquired, respectively.[11] Recent studies suggest that ESBL-producing K. pneumoniae is more easily transmitted than ESBL-producing E. coli in hospital settings, which could partially explain the differences observed between these two Enterobacteriaceae infections.[26,27]
Risk factors for ESBL-ECBSI included hospitalization in the preceding 28-day period, a temperature of ≥38° Celsius at the time of E. coli BSI, residency in an intermediate care facility, underlying chronic illness and exposure to piperacillin-tazobactam in the preceeding 12 months. When the multivariable regression model was re-run without the 12 recurrent E. coli BSI episodes, residency in an intermediate facility was no longer a statistically significant risk factor for ESBL-ECBSI. Although exposure to several antibiotics / antibiotic classes in the 12-month period preceding E. coli BSI were highly significant on univariable analyses, only exposure to piperacillin-tazobactam remained statistically significant in the multivariable regression models. Approximately two thirds and 30% of the ESBL-ECBSI and non-ESBL-producing E. coli BSI episodes respectively, were preceded by multiple antibiotic exposures. However, prior exposure to 2 or more antibiotics / antibiotic classes was not shown to be a causal risk factor. These results suggest that perhaps exposure to piperacillin-tazobactam may not be a true causal risk factor but rather a marker of multiple antibiotic exposures. Therefore, collinearity between multiple antibiotic classes may explain the exclusion of many of the antibiotics/antibiotic classes from the multivariable regression models in Table 1. The causal relationship between specific antibiotic exposures and ESBL-ECBSI was thus difficult to tease out in this study because detailed information about these exposures were not captured, including the total exposure time of each antibiotic in the 12-month period preceding E. coli BSI. Hospitalization in the preceding 28-day period and having an underlying chronic illness other than HIV infection remained significant risk factors in all multivariable regression models evaluated, suggesting that these variables are likely to be true causal risk factors for ESBL-ECBSI in our patient population. Both of these factors allow for increased contact between sick and/or convalescing children, and hence may create opportunities for the transmission of resistant Enterobacteriacae and plasmid-mediated resistance genes between patients.[9]
In the present study E. coli BSI mainly manifested without a definable clinical focus. When a site of infection was evident, the urinary tract was primarily involved and to a lesser extent the gastrointestinal tract. A French study showed that the urinary and gastrointestinal tracts were the main portals of entry of E coli strains that cause BSI in children and adolescents less than 18 years. Furthermore, differential expression of microbial virulence factors identified in that study may in part explain differences in the portal of entry of E. coli strains.[1]
According to the antibiotic susceptibility profile of non-ESBL E. coli isolates, 88% and 98% of the non-ESBL E. coli strains were susceptible to combinations of ampicillin and gentamicin, and piperacillin-tazobactam and amikacin respectively. These antibiotic combinations are currently recommended as empiric therapy for community-acquired and hospital-acquired BSI, respectively at RCWMCH. However, 57% and 8.8% of the non-ESBL E. coli BSI episodes in the present study were treated with either 3rd generation cephalosporins or carbapenems respectively, suggesting that these antibiotic classes could have been used inappropriately to treat many of the non-ESBL E. coli BSI episodes. It is hoped that, moving forward, an antibiotic stewardship programme, commenced at RCWMCH in mid-2012, should assist in improving antibiotic practice and limiting inappropriate use of these broad-spectrum agents.
In our study, mortality was higher in patients with ESBL-ECBSI treated with piperacillin-tazobactam and amikacin compared to a carbapenem as definitive therapy. The findings of a randomized clinical trial that determined whether piperacillin-tazobactam was as effective as meropenem for treating BSI caused by E. coli or K. pneumoniae with non-susceptibility to third generation cephalosporins was recently published. The mortality at 30 days after randomization, the study’s primary outcome measure was significantly higher in the piperacillin-tazobactam group, possibly suggesting that piperacillin-tazobactam may no longer be the recommended definitive therapy in this context.[28]
A French study previously showed that age younger than 3 months and non-urinary BSI were significantly associated with severe disease.[1] Our analysis in part agreed with these findings in that on multivariable logistic regression analysis we identified age less than 1 month and BSI without a definable focus of infection as predictors of severe disease. Furthermore, we identified an additional factor that may be contributing to severe disease in our setting, namely recent hospitalization. In our study, ESBL-ECBSI was not shown to be associated with severe disease. This finding is in agreement with the results of the French study, which showed that resistance to 3rd generation cephalosporins was not a predictor of severe disease on multivariable logistic regression analysis.[1]
Study limitations
The strength of this study is that it is one of the first large sub-Saharan African studies to describe E. coli BSI in children, providing clinical, epidemiological, and antibiotic susceptibility and therapy information on more than 400 BSI episodes. Due to the retrospective study design, there are limitations in the completeness and availability of clinical and laboratory information on some of the BSI episodes. The true burden of community-acquired E. coli BSI may have been underestimated due to the practice of administering broad-spectrum antibiotics to sick children at primary and secondary facilities before they are referred to our hospital, and this may have negatively impacted the positive yield from blood cultures. This practice is consistent with the WHO Integrated Management of Childhood Illness guidelines that have been implemented in South Africa.[29] Subsequent to the study period, the Centers for Diseases Control and Prevention, Atlanta revised its nomenclature, replacing the terms hospital-acquired, community-acquired and healthcare-associated infection with infection present on admission and healthcare-associated infection.[30–31] We retained the outdated classification in the current study because it permitted us to compare the results of the present study with those of our previous study on K. pneumoniae BSI. Since the bacterial isolates associated with the E. coli BSI episodes in the present study were not stored we were unable to confirm the presence of genes that confer extended spectrum beta-lactamase resistance. Consequently, cephalosporin resistance of some of the isolates may have been caused by Ambler class C (AmpC) beta-lactamases.[32]
In our study risk factors for ESBL-ECBSI were explored by using a control group comprising children with non-ESBL E. coli BSI. This is probably not the ideal comparator group because the source population from which children with ESBL-ECBSI originated differed from the sources of children with non-ESBL E. coli BSI. In our study, 82% of ESBL-ECBSI episodes were hospital-acquired or healthcare-associated infections suggesting that the predominant source population comprised hospitalized children and those with recent healthcare contact. By contrast, 56% of the non-ESBL E. coli BSI episodes used as the control group were community-acquired infections with no recent hospitalization or healthcare contact (Table 3). When individuals with infections caused by antibiotic-susceptible organisms are used as control-patients, the relationship between case-patients and certain risk factors, particularly antibiotic exposures may be biased resulting in the incorrect identification of an antibiotic as a risk factor because of inflation of the measure or effect or odds ratio.[33, 34] In our study, although piperacillin-tazobactam was shown to be a risk factor for ESBL-ECBSI the significance of this variable is doubtful because of concern of collinearity between multiple antibiotic exposures.
The low number of deaths meant that we were unable to define risk factors associated specifically with death, but instead were able to explore risk factors for severe disease, a composite variable of ICU admission and/or death.
Conclusion
The current study extends our understanding of E. coli BSI at our institution. While the risk of E. coli BSI was shown to be lower than that of K. pneumoniae BSI, it remains an important cause of BSI at our hospital. This study suggest ESBL-producing E.coli BSI is rapidly increasing despite decline in the overall incidence of E.coli BSI and may have important impacts on clinical outcomes. This has implications for antibiotic management and prevention of transmission of resistant organisms between patients. Further prospective research is required in our setting, to explore the spectrum of ESBL-producing genes associated with cephalosporin-resistance as well as genetic virulence determinants of E. coli BSI, and to identify risk factors for ESBL-ECBSI using methodological approaches that limit selection bias such as the case-case control study design and control-patients without E. coli infection but from the same base population as patients with ESBL-ECBSI.[34].
Supporting information
S1 File [xlsx]
Data set for graphs on incidence.
S2 File [xlsx]
Data set for 455 cases analyzed.
S3 File [xlsx]
Data set for 443 cases analyzed without 12 records.
Zdroje
1. Burdet C, Clermont O, Bonacorsi S, Laouénan C, Bingen E, Aujard Y, et al. Escherichia coli bacteremia in children: age and portal of entry are the main predictors of severity. Pediatr Infect Dis J. 2014; 33(8):872–9. doi: 10.1097/INF.0000000000000309 25222308
2. Lochan H, Bamford C, Eley B. Blood cultures in sick children. S Afr Med J. 2013; 103(12):918–920. doi: 10.7196/samj.6979 24300629
3. Dramowski A, Cotton M, Rabie H, Whitelaw A. Trends in paediatric bloodstream infections at a South African referral hospital. BMC Pediatrics 2015; 15:33, doi: 10.1186/s12887-015-0354-3 25884449
4. Lochan H, Pillay V, Bamford C, Nuttall J, Eley B. Bloodstream infections at a tertiary level paediatric hospital in South Africa. BMC Infect Dis. 2017; 17(1):750. doi: 10.1186/s12879-017-2862-2 29207958
5. Larru B, Gong W, Vendetti N, Sullivan KV, Localio R, Zaoutis TE, et al. Bloodstream Infections in Hospitalized Children: Epidemiology and Antimicrobial Susceptibilities. Pediatr Infect Dis J. 2016; 35(5):507–10. doi: 10.1097/INF.0000000000001057 26766146
6. McKay R, Bamford C. Community—versus healthcare-acquired bloodstream infections at Groote Schuur Hospital, Cape Town, South Africa. S Afr Med J. 2015; 6;105(5):363–9. doi: 10.7196/samj.8183 26242664
7. Murray S, Peaper R. The contribution of extended-spectrum β-lactamases to multidrug-resistant infections in children. Curr Opin Pediatr. 2015; 27(1):124–31. doi: 10.1097/MOP.0000000000000182 25565574
8. McDanel J, Schweizer M, Crabb V, Nelson R, Samore M, Khader K, et al. Incidence of Extended-Spectrum β-Lactamase (ESBL)-Producing Escherichia coli and Klebsiella Infections in the United States: A Systematic Literature Review. Infect Control Hosp Epidemiol. 2017; 38(10):1209–1215. doi: 10.1017/ice.2017.156 28758612
9. Pitout JD, Thomson KS, Hanson ND, Ehrhardt AF, Moland ES, Sanders CC. Beta-Lactamases responsible for resistance to expanded-spectrum cephalosporins in Klebsiella pneumoniae, Escherichia coli and Proteus mirabilis isolates recovered in South Africa. Antimicrob Agents Chemother. 1998; 42(6):1350–4. 9624474.
10. Peirano G, van Greune CH, Pitout JD, Characteristics of infections caused by extended-spectrum β-lactamase-producing Escherichia coli from community hospitals in South Africa. Diagn Microbiol Infect Dis. 2011; 69(4):449–53. doi: 10.1016/j.diagmicrobio.2010.11.011 21396544.
11. Buys H, Muloiwa R, Bamford C, Eley B. Klebsiella pneumoniae bloodstream infections at a South African children’s hospital 2006–2011, a cross-sectional study. BMC Infectious Diseases 2016; 16:570. doi: 10.1186/s12879-016-1919-y 27751185
12. Tacconelli E, au>Magrini N. Global Priority List of antibiotic-resistant bacteria to guide research, discovery, and development of new antibiotics, WHO Essential medicines and health products guidelines (2017), Accessed on 8th August, 2017: http://www.who.int/medicines/publications/global-priority-list-antibiotic-resistant-bacteria/en/
13. Clinical and Laboratory Standards Institute. (2005). Performance standard for antimicrobial susceptibility testing. Document M100-S15. Clinical and Laboratory Standards Institute, 940 West Valley Road, Suite 1400, Wayne, Pennsylvania 19087–1898 USA, 2005.
14. Clinical and Laboratory Standards Institute. Performance Standards for Antimicrobial Susceptibility Testing; Sixteenth Informational Supplement (2006). CLSI document M100-S16 [ISBN 1-56238-588-7]. Clinical and Laboratory Standards Institute, 940 West Valley Road, Suite 1400, Wayne, Pennsylvania 19087–1898 USA, 2006.
15. Clinical and Laboratory Standards Institute. Performance Standards for Antimicrobial Susceptibility Testing; Seventeenth Informational Supplement (2007). CLSI document M100-S17 [ISBN 1-56238-625-5]. Clinical and Laboratory Standards Institute, 940 West Valley Road, Suite 140 0, Wayne, Pennsylvania 19087–1898 USA, 2007.
16. Clinical and Laboratory Standards Institute. 2008. Development of in vitro susceptibility testing criteria and quality control parameters, 3rd ed (2008). CLSI M23-A3. Clinical and Laboratory Standards Institute, 940 West Valley Road, Suite 140 0, Wayne, Pennsylvania 19087–1898 USA, 2008.
17. Clinical and Laboratory Standards Institute, Performance standards for antimicrobial susceptibility testing. Nineteenth informational supplement (2009) M100-S19, Clinical and Laboratory Standards Institute, 940 West Valley Road, Suite 140 0, Wayne, Pennsylvania 19087–1898 USA, 2009.
18. Clinical and Laboratory Standards Institute. (2010). Performance standards for antimicrobial susceptibility testing: 20th informational supplement. CLSI document M100-S20. Clinical and Laboratory Standards Institute, 940 West Valley Road, Suite 140 0, Wayne, Pennsylvania 19087–1898 USA, 2010.
19. Clinical and Laboratory Standards Institute. Performance Standards for Antimicrobial Susceptibility Testing; Twenty-First Informational Supplement (2011). CLSI document M100-S21. ISBN 1-56238-742-1, ISSN 0273-3099, Clinical and Laboratory Standards Institute, 940 West Valley Road, Suite 140 0, Wayne, Pennsylvania 19087–1898 USA, 2011.
20. Clinical and Laboratory Standards Institute (CLSI). Performance Standards for Antimicrobial Disk Susceptibility Tests; Approved Standard—Eleventh Edition (2012). CLSI document M02-A11 (ISBN 1-56238-781-2 [Print]; ISBN 1-56238-782-0 [Electronic]). Clinical and Laboratory Standards Institute, 950 West Valley Road, Suite 2500, Wayne, Pennsylvania 19087 USA, 2012.
21. Clinical and Laboratory Standards Institute. Performance Standards for Antimicrobial Susceptibility Testing; Twenty-Third Informational Supplement (2013). CLSI document M100-S23 (ISBN 1-56238-865-7 [Print]; ISBN 1-56238-866-5 [Electronic]). Clinical and Laboratory Standards Institute, 950 West Valley Road, Suite 2500, Wayne, Pennsylvania 19087, USA, 2013.
22. Clinical and Laboratory Standards Institute. Performance Standards for Antimicrobial Susceptibility Testing; Twenty-Fourth Informational Supplement (2014). CLSI document M100-S24 (ISBN 1-56238-897-5 [Print]; ISBN 1-56238-898-3 [Electronic]). Clinical and Laboratory Standards Institute, 950 West Valley Road, Suite 2500, Wayne, Pennsylvania 19087 USA, 2014.
23. Cardoso T, Almeida M, Friedman ND, Aragão I, Costa-Pereira A, Sarmento AE, et al. Classification of healthcare-associated infection: a systematic review 10 years after the first proposal. BMC Med. 2014; 12:40. doi: 10.1186/1741-7015-12-40 24597462.
24. Schneider E, Whitmore S, Glynn KM, Dominguez K, Mitsch A, McKenna MT, et al. Centers for Disease Control and Prevention (CDC). Revised surveillance case definitions for HIV infection among adults, adolescents, and children aged <18 months and for HIV infection and AIDS among children aged 18 months to <13 years—United States. MMWR Recomm Rep. 2008; 57(RR-10):1–12. 19052530.
25. de Onis M, Habicht JP. Anthropometric reference data for international use: recommendations from a World Health Organization Expert Committee (1996). Am J Clin Nutr. 64:650–658. doi: 10.1093/ajcn/64.4.650 8839517.
26. Goldstein B, Giroir B, Randolph A; International Consensus Conference on Pediatric Sepsis. International pediatric sepsis consensus conference: Definitions for sepsis and organ dysfunction in paediatrics. Pediatr Crit Care Med. 2005; 6(1):2–8. doi: 10.1097/01.PCC.0000149131.72248.E6 15636651.
27. Angus DC and van der Poll T. Severe Sepsis and Septic Shock. N Engl J Med. 2013; 369:840–51. doi: 10.1056/NEJMra1208623 23984731.
28. Hilty M, Betsch BY, Bögli-Stuber K, Heiniger N, Stadler M, Küffer M, et al. Transmission dynamics of extended-spectrum β-lactamase-producing Enterobacteriaceae in the tertiary care hospital and the household setting. Clin Infect Dis. 2006; 55(7):967–75. doi: 10.1093/cid/cis581 22718774
29. Gurieva T, Dautzenberg MJD, Gniadkowski M, Derde LPG, Bonten MJM, Bootsma MCJ. The Transmissibility of Antibiotic-Resistant Enterobacteriaceae in Intensive Care Units. Clin Infect Dis. 2018; 66(4):489–493. doi: 10.1093/cid/cix825 29020273.
30. Harris PNA, Tambyah PA, Lye DC, Mo Y, Lee TH, Yilmaz M, et al. Effect of Piperacillin-Tazobactam vs Meropenem on 30-Day Mortality for Patients With E coli or Klebsiella pneumoniae Bloodstream Infection and Ceftriaxone Resistance: A Randomized Clinical Trial. J Am Med Assoc. 2018; 320(10):984–994. doi: 10.1001/jama.2018.12163 30208454.
31. Centres for Diseases Control and Prevention, Atlanta. Identifying healthcare-associated infections (HAI) for NHSN surveillance, January (2018). URL: https://www.cdc.gov/nhsn/pdfs/pscmanual/2psc_identifyinghais_nhsncurrent.pdf (accessed 26 February 2018).
32. Harris PN. Clinical management of infections caused by Enterobacteriaceae that express extended-spectrum β-lactamase and AmpC enzymes. Semin Respir Crit Care Med. 2015; 36(1):56–73. doi: 10.1055/s-0034-1398387 25643271.
33. Evans SR & Harris AD. Methods and issues in studies of CRE. Virulence 2017; 8(4):453–59. doi: 10.1080/21505594.2016.1213473 27470534.
34. Kaye KS, Harris AD, Samore M, Carmeli Y. The case-case-control study design: Addressing the limitations of risk factor studies for antimicrobial resistance. Infect Control Hosp Epidemiol. 2005; 26(4):346–51. doi: 10.1086/502550 15865269.
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