Abstract
Introduction
The recent increase in multidrug-resistant (MDR) Escherichia coli infections is not well described in children. We determined the risk factors and outcomes of extraintestinal E. coli infections in children in our region.
Methods
We conducted a retrospective cohort study of children ≤18 years in Olmsted County, MN, USA, between January 1, 2012 and December 31, 2012. MDR isolates were defined as resistant to ≥3 antibiotic classes.
Results
A total of 368 children each contributed 1 isolate. Isolates were predominantly community-associated (82%) and from urine (90%), and outpatients (86%); 46 (13%) isolates were MDR. In multivariable analysis, genitourinary (GU) tract anomaly (OR 2.42, 95% CI 1.03–5.68), invasive devices (OR 3.48, 95% CI 1.37–8.83) and antibiotic use at presentation (OR 2.62, 95% CI 1.06–6.47) were associated with MDR E. coli. Children with MDR infections were more likely to have a complex infection (35% vs. 17%, P = 0.026), less likely to receive effective empiric antibiotics (47% vs. 74%, P < 0.001), had longer time to receipt of effective antibiotics (median 19.2 vs. 0.6 h, P < 0.001), and longer hospitalization (median 10 vs. 4 days, P = 0.029) than children with non-MDR infections.
Conclusion
Pediatric MDR E. coli infection was associated with GU tract anomaly, invasive devices, antibiotic use, delays in effective therapy and longer hospitalization.
Keywords: Antimicrobial resistance, E. coli, Multidrug-resistant E. coli
Introduction
Escherichia coli is the most common Gram-negative pathogen in humans, and the leading cause of urinary tract infections (UTI) in children and bacteremia and meningitis in infants [1–4]. The incidence of antimicrobial-resistant E. coli infections is increasing globally [5–7] and contributing to poor outcomes [8–10] and increased healthcare costs [11]. The emergence of antimicrobial resistance in E. coli has increased faster than the development of new antibiotics, leading to a paucity of therapeutic agents for highly antimicrobial-resistant strains.
Despite the increasing prevalence of antimicrobial-resistant E. coli, risk factors for infection or colonization with antimicrobial-resistant E. coli and outcomes associated with such infections have not been well studied in children. While a few pediatric studies have evaluated infections with extended spectrum β-lactamase (ESBL)-producing strains [12], none have investigated associations with other resistance phenotypes, including resistance to multiple drug classes. Furthermore, these studies are limited by small sample sizes, restricted populations (e.g., neonates or oncology patients) [13] or infectious syndromes (bacteremia), and were published several years ago, prior to the emergence of the pandemic, multidrug-resistant (MDR) E. coli clone, ST131 [14]. Additionally, no recent study has addressed risk factors for community-associated, multidrug-resistant (CA MDR) E. coli infections in children.
Awareness of risk factors for MDR E. coli infections in children would help clinicians more quickly identify and effectively treat children with resistant infections, potentially improving outcomes. Therefore, we determined risk factors and outcomes of MDR E. coli infection among children seen at the Mayo Clinic.
Methods
We conducted a retrospective cohort study of children with E. coli infections who were evaluated at the Mayo Clinic Children’s Hospital in Rochester, MN, USA, in 2012. The Mayo Clinic Institutional Review Board approved this study. This article does not contain any new studies with human or animal subjects performed by any of the authors.
Study Population
Patients were identified by querying the Mayo clinical microbiology laboratory database for all cultures (including polymicrobial cultures) with growth of E. coli from extraintestinal sources (blood, sterile body fluids, urine, respiratory, wound) from children 0–18 years of age, obtained from January 1, 2012 through December 31, 2012. We included only children who had documented MN state research authorization (Minnesota Statute, section 144.295). We excluded children without state research authorization or whose E. coli isolates lacked antimicrobial susceptibility results. If a patient had multiple positive cultures during the study period, the first isolate was included, or sterile sources were prioritized over non-sterile sources (i.e. blood was included rather than urine).
Definitions
An isolate was classified as multidrug-resistant (MDR) if it was resistant to any antibiotic in 3 or more of the following 8 drugs/drug classes: (1) ampicillin/sulbactam, (2) piperacillin/tazobactam, (3) trimethoprim/sulfamethoxazole (TMP/SMX), (4) fluoroquinolones (ciprofloxacin or levofloxacin), (5) aminoglycosides (gentamicin, tobramycin, or amikacin), (6) 1st- or 2nd-generation cephalosporins (cefazolin, cephalothin, or cefuroxime), (7) extended-spectrum cephalosporins (ceftriaxone, cefotaxime, ceftazidime or cefepime), and (8) carbapenems (meropenem or ertapenem) [15]. A pan-susceptible isolate (PS) was susceptible to all of the drugs listed above.
We distinguished infection from colonization among isolates from respiratory, urine, or wound specimens. A urinary E. coli isolate represented a UTI when the patient exhibited all of the following: UTI symptoms such as fever, abdominal pain or dysuria, pyuria (defined as >5 white blood cells/hpf or a positive leukocyte esterase test), and monomicrobial growth of E. coli at >105 CFU per mL. Lower respiratory tract specimens represented infection (pneumonia, bronchitis or tracheitis) when patients had the following: fever, dyspnea or cough, and supportive objective findings (infiltrates on chest imaging or signs of airway inflammation on bronchoscopy). E. coli from wound cultures represented wound infections when patients had accompanying signs of ongoing inflammation from the culture site such as pain, discharge or fever. Patients who had urine, respiratory and wound E. coli isolates, but did not fulfill the above criteria for infection, were considered to be colonized.
Empiric antibiotics were defined as those administered prior to availability of E. coli antimicrobial susceptibility results. An empiric antibiotic was considered effective if it was active against the isolate in vitro and was clinically appropriate for the site of infection (e.g., an oral antibiotic was considered inappropriate for a bloodstream infection). Nosocomial, healthcare-associated (HA) and community-associated (CA) infection were defined as previously described [16, 17]. A complex infection was defined as E. coli infection in any non-urine site or in a child who had any of the following: immune compromise, GU abnormality, upper urinary tract infection or hospitalization. A non-complex infection was defined as E. coli UTI in an immunocompetent child without GU abnormalities (except neurogenic bladder) or upper urinary tract infection, and who was managed as an outpatient [18].
Variables that were abstracted from the electronic medical record as potential risk factors and outcomes (e.g., age, location of care at time of specimen collection, etc.) are shown in Tables 1 and 5.
Table 1.
Characteristic | No. (%) n = 368 unless indicated |
---|---|
Age in years, median (IQR) | 7 (3–15) |
Female | 317 (86) |
Specimen type | |
Urine | 331 (90) |
Blood | 10 (3) |
Othera | 27 (7) |
Patient location at time of specimen collection | |
Outpatientb | 315 (86) |
Inpatient | 53 (14) |
Site of acquisition (n = 365) | |
Community-associated | 298 (82) |
Health care-associated | 53 (15) |
Nosocomial | 14 (3) |
Sexual activity (n = 349) | 52 (15) |
Circumcision (n = 33) | 15 (45) |
Chronic constipation in the previous 1 year (n = 367) | 54 (15) |
Voiding dysfunction in the previous 1 year (n = 367)c | 66 (18) |
Intermittent urinary catheterization at time of specimen collection (n = 366) | 22 (6) |
Any hospitalization in the past 1 year (n = 362) | 99 (27) |
Urinary tract infection in the past 1 year (n = 364) | 103 (28) |
E. coli isolates in the past 1 year from any specimen source (n = 355) | 45 (13) |
E. coli infections in the past 1 year from any specimen source (n = 351) | 40 (11) |
Structural/functional anomalies within the past 1 year | |
Cerebrospinal | 26 (7) |
Craniofacial | 5 (1) |
Genitourinary tract | 46 (13) |
Transplant in the past 30 days | |
Hematopoietic stem cell | 0 |
Solid organ | 1 (<1) |
Immunosuppressive therapy within the previous 30 days | |
Chemotherapy | 1 (<1) |
Biologicsd | 7 (2) |
High dose steroidse | 0 |
Malignancy in the previous 2 years | |
Solid organ | 2 (<1) |
Hematologic | 0 |
Neutropenia within the previous 14 daysf | 2 (<1) |
Mechanical ventilation within the previous 30 days | 12 (3) |
Extracorporeal membrane oxygenation within the previous 30 days | 2 (1) |
Dialysis within the previous 3 months | 2 (1) |
Any invasive device present at time of specimen collection (n = 366)g | 36 (10) |
Invasive procedure within the past 90 days | |
Surgical | 32 (9) |
Non-surgicalh | 13 (4) |
Any antibiotic use | |
At time of specimen collection (n = 361) | 40 (11) |
Within the past 3 months (n = 360) | 113 (31) |
Within the past 12 months (n = 363) | 196 (54) |
Any international travel (n = 77) | 21 (27) |
Prematurity (ages ≤1 month only; n = 14) | 4 (29) |
Diabetes | 1 (<1) |
Cultures representing true infection (n = 346)i | 318 (92) |
IQR interquartile range
aIncludes non-sterile sources (e.g., wound swabs, surgically collected sterile tissue, peritoneal fluid, bile and respiratory tract specimens)
bIncludes clinic and emergency room
cAbnormal elimination patterns such as frequent or infrequent voids, urgency, infrequent stools/constipation, withholding maneuvers, etc.
dIncludes TNF-alpha, IL-1 and IL-6 inhibitors
eGiven daily or on alternate days for 14 days or more at ≥2 mg/kg per day of prednisone or its equivalent, or ≥20 mg/day if patient weighs more than 10 kg
fAbsolute neutrophil count less than 500 cells/ml
gIncludes urinary catheter, central venous catheter, arterial line, chest tube, endotracheal tube, tracheostomy tube, dialysis catheter, nephrostomy tube, ventriculo-peritoneal shunt, external ventricular drain, stents and prostheses
hExamples include endoscopy, tooth extraction, etc.
iClinical symptoms and objective criteria of inflammation/infection present at site of culture, e.g., UTI symptoms (fever or abdominal pain or dysuria, etc.) and pyuria required for classification as UTI
Table 5.
Outcome | MDR (n = 34)a
n (%) |
Non-MDR, (n = 284) n (%) |
P |
---|---|---|---|
Hospitalization for treatment of infection | 8 (24) | 35 (12) | 0.11 |
Duration of hospitalization in days (n = 43)b | 10 (4.5–20.5) | 4 (2–6) | 0.029 |
Complexity of infectionc | |||
Complex | 12 (35) | 49 (17) | 0.026 |
Non-complex | 21 (62) | 231 (81) | |
Uncleard | 1 (3) | 4 (1) | |
Number of empiric antibioticse | |||
1 | 24 (71) | 233 (82) | 0.11 |
>1 | 10 (29) | 51 (18) | |
Effective empiric antibioticsf | 16 (47) | 210 (74) | 0.001 |
Time from specimen collection to initiation of effective antibiotic in hoursb, f | 19.2 (1–55) | 0.6 (0–6) | <0.001 |
Duration of total antibiotic therapy in daysb | 11 (9–13) | 10 (7–10) | 0.027 |
Outcome of infection | |||
Cure with no recurrence | 22 (65) | 218 (77) | 0.28 |
Cure with recurrence | 12 (35) | 55 (19) | |
Death | 0 | 1 (<1) | |
Unknownd | 0 | 10 (3) |
aExcludes children with colonization
bSummarized with median (IQR)
cA complex infection was defined as E. coli infection in any non-urine site or in a child who had any of the following; immune compromise, GU abnormality, upper urinary tract infection or hospitalization. A non-complex infection was defined as E. coli UTI in an immunocompetent child without GU abnormalities (except neurogenic bladder) and no evidence of upper urinary tract infection, and who was managed as an outpatient
dDue to incomplete information, loss to follow-up or mortality unrelated to E. coli infection
eEmpiric antibiotic was defined as antibiotic administered at the time of culture collection, culture positivity or onset of illness, prior to availability of antimicrobial susceptibility results
fEmpiric antibiotic was active against isolate in vitro and appropriate for site of infection
Statistical Analysis
Continuous variables were summarized with medians and interquartile ranges (IQRs), while categorical features were summarized with counts and percentages. The ability of each feature to distinguish between MDR isolates and non-MDR isolates was evaluated using a univariable logistic regression model. A multivariable model to predict MDR isolates was developed using stepwise selection, with the P value for a feature to enter or leave the model set to 0.05.
Results
Demographic Characteristics
During the study period, 368 children each contributed 1 E. coli isolate. The median patient age was 7 years. Most isolates were community-associated (82%) and collected from outpatients (86%) and females (86%). The predominant specimen type was urine (90%). Infection versus colonization could be evaluated for 346 children; of these, 318 (92%) had infection and 28 (8%) had colonization. Thirty-seven (10%) had 1 or more invasive devices at the time of culture collection (Table 1).
Antimicrobial Susceptibilities
Among all isolates, 194 (53%) were PS, 128 (35%) were resistant to 1–2 drug classes and 46 (13%) were MDR (Table 2). The majority of the MDR isolates were from urine (83%), with the remainder from respiratory (9%), blood (7%) and intraabdominal (1%) sources. Among the 46 MDR isolates, 23 (50%) were resistant to 3 drug classes, most commonly ampicillin/sulbactam, TMP/SMX, and a 1st-generation cephalosporin. Six isolates were resistant to 6 drug classes and 1 isolate was resistant to all 8 drug classes (Table 2). Ten isolates (22%) displayed resistance to extended spectrum cephalosporins.
Table 2.
Antimicrobial | No. (%) resistant n = 368 except where specified |
---|---|
Ampicillin | 159 (43) |
Beta-lactam/beta-lactamase inhibitor combination | |
Ampicillin/sulbactam (n = 158) | 119 (75) |
Piperacillin/tazobactam | 3 (1) |
Trimethoprim/sulfamethoxazole | 73 (20) |
Fluoroquinolone | |
Ciprofloxacin | 24 (7) |
Levofloxacin | 22 (6) |
Aminoglycoside | |
Amikacin | 1 (<1) |
Gentamicin | 20 (5) |
Tobramycin | 14 (4) |
1st-generation cephalosporin | |
Cephalothin (n = 331) | 92 (28) |
Cefazolin | 78 (21) |
Extended spectrum cephalosporin | |
Ceftriaxone | 10 (3) |
Cefepime | 4 (1) |
Carbapenem | |
Ertapenem | 1 (<1) |
Meropenem | 1 (<1) |
Nitrofurantoin (n = 332) | 3 (1) |
Fosfomycin (n = 13) | 0 (0) |
MDRa | 46 (13) |
3 drug classes | 23 (6) |
4–7 drug classes | 22 (6) |
8 drug classes | 1 (<1) |
aMDR defined as resistance to any antibiotic in 3 or more of 8 drug classes, including ampicillin/sulbactam, piperacillin/tazobactam, trimethoprim/sulfamethoxazole (TMP/SMX), fluoroquinolones (ciprofloxacin or levofloxacin), aminoglycosides (gentamicin, tobramycin, or amikacin), 1st- or 2nd-generation cephalosporins (cefazolin, cephalothin, or cefuroxime), extended-spectrum cephalosporins (ceftriaxone, cefotaxime, ceftazidime or cefepime), and carbapenems (meropenem or ertapenem)
Risk Factors for MDR E. coli Infection or Colonization
Univariable analysis of children with MDR versus non-MDR isolates identified 10 variables that were significantly associated with colonization or infection with MDR E. coli: healthcare acquisition (OR 3.13, 95% CI 1.50–6.55), nosocomial acquisition (OR 3.86, 95% CI 1.14–13.11), cerebrospinal anomaly (OR 3.56, 95% CI 1.45–8.73), genitourinary (GU) tract anomaly (OR 4.68, 95% CI 2.27–9.63), receipt of biologics in the previous 30 days (OR 10.13, 95% CI 2.19–46.82), surgery in the previous 90 days (OR 3.79, 95% CI 1.66–8.6)), presence of an invasive device at the time of culture collection (OR 7.14, 95% CI 3.34–15.30), any hospitalization in the preceding 1 year (OR 3.69, 95% CI 1.94–7.00), and antibiotic use at the time of specimen collection (OR 5.22, 95% CI 2.47–11.06) or within the preceding 3 months (OR 2.25, 95% CI 1.20–4.21) (Table 3). In multivariable analysis, the following variables were independently associated with MDR E. coli infection or colonization: presence of a GU tract anomaly (OR 2.42, 95% CI 1.03–5.68), presence of an invasive device (OR 3.48, 95% CI 1.37–8.83) and antibiotic use at the time of specimen collection (OR 2.62, 95% CI 1.06–6.47) (Table 4).
Table 3.
Feature | MDR (n = 46) No. (%) |
Non-MDR (n = 322) No. (%) |
Odds ratio (95% CI) | P |
---|---|---|---|---|
Age in years, median (IQR) | 6 (2–14) | 7 (3–15) | 0.99 (0.94–1.04) | 0.64 |
Gender | ||||
Female | 37 (80) | 280 (98) | 1.0 (reference) | 0.23 |
Male | 9 (20) | 42 (13) | 1.62 (0.73–3.60) | |
Race (n = 360) | ||||
Caucasian | 40 (87) | 272 (87) | 1.0 (reference) | 0.95 |
All others | 6 (13) | 42 (13) | 0.97 (0.39–2.43) | |
Specimen type | ||||
Urine | 38 (83) | 293 (91) | 1.0 (reference) | 0.083 |
Non-urine | 8 (17) | 29 (9) | 2.13 (0.91–4.99) | |
Site of acquisition (n = 365) | ||||
Community-associated | 28 (62) | 270 (84) | 1.0 (reference) | 0.002 |
Healthcare-associated | 13 (29) | 40 (13) | 3.13 (1.50–6.55) | 0.031 |
Nosocomial | 4 (9) | 10 (3) | 3.86 (1.14–13.11) | |
Patient location at time of specimen collection | ||||
Outpatient | 35 (76) | 280 (87) | 1.0 (reference) | 0.054 |
Inpatient | 11 (24) | 42 (13) | 2.10 (0.99–4.44) | |
Cerebrospinal anomaly diagnosed within past 1 year | 8 (17) | 18 (6) | 3.56 (1.45–8.73) | 0.006 |
Craniofacial anomaly diagnosed within past 1 year | 1 (2) | 4 (1) | 1.77 (0.19–16.16) | 0.61 |
GU tract anomaly diagnosed within past 1 year (n = 366) | 15 (33) | 31 (10) | 4.68 (2.27–9.63) | <0.001 |
Intermittent urinary catheterization at time of specimen collection (n = 366) | 4 (9) | 18 (6) | 1.64 (0.53–5.09) | 0.39 |
Mechanical ventilation within the previous 30 days | 1 (2) | 11 (3) | 0.63 (0.08–4.98) | 0.66 |
Receipt of biologic agent within the previous 30 days | 4 (9) | 3 (1) | 10.13 (2.19–46.82) | 0.003 |
Surgery within the past 90 days | 10 (22) | 22 (7) | 3.79 (1.66–8.63) | 0.002 |
Non-surgical invasive procedure within the past 90 days | 4 (9) | 9 (3) | 3.31 (0.98–11.23) | 0.055 |
UTI in the past 1 year (n = 364) | 16 (36) | 87 (27) | 1.53 (0.79–2.97) | 0.21 |
Sexual activity (n = 349) | 8 (19) | 44 (14) | 1.36 (0.59–3.13) | 0.47 |
Chronic constipation in the previous 1 year (n = 367) | 6 (13) | 48 (15) | 0.85 (0.34–2.12) | 0.73 |
Voiding dysfunction in the previous 1 year (n = 367) | 9 (20) | 57 (18) | 1.13 (0.52–2.46) | 0.77 |
Any invasive device present at the time of specimen collection (n = 366) | 15 (33) | 21 (7) | 7.14 (3.34–15.30) | <0.001 |
E. coli isolates in the past 1 year from any specimen source (n = 355) | 7 (16) | 38 (12) | 1.36 (0.57–3.27) | 0.49 |
E. coli infections in the past 1 year from any specimen source (n = 351) | 7 (16) | 33 (11) | 1.57 (0.65–3.81) | 0.32 |
Hospitalization in the past 1 year (n = 362) | 24 (53) | 75 (24) | 3.69 (1.94–7.00) | <0.001 |
Any antibiotic use at the time of specimen collection (n = 361) | 14 (32) | 26 (8) | 5.22 (2.47–11.06) | <0.001 |
Any antibiotic use within the past 3 months (n = 360) | 22 (48) | 91 (29) | 2.25 (1.20–4.21) | 0.012 |
Any antibiotic use within the past 12 months (n = 363) | 30 (65) | 166 (52) | 1.71 (0.89–3.25) | 0.11 |
CI confidence interval
Table 4.
Risk factor | OR (95% CI) | P |
---|---|---|
Genitourinary tract anomaly within the past 1 year | 2.42 (1.03–5.68) | 0.043 |
Invasive device at the time of specimen collectiona | 3.48 (1.37–8.83) | 0.009 |
Antibiotic use at the time of specimen collection | 2.62 (1.06–6.47) | 0.037 |
OR odds ratio, CI confidence interval
aIncludes urinary catheter, central venous catheter, arterial line, chest tube, endotracheal tube, tracheostomy tube, dialysis catheter, nephrostomy tube, ventriculo-peritoneal shunt, external ventricular drain, stents and prostheses
Similar results were obtained on univariable analysis when children with colonization were excluded, when ampicillin was included as a drug class in the definition of MDR, and when children with MDR E. coli were compared with those with PS E. coli (data not shown). When the subset of patients with CA infections (n = 268) was analyzed, there were 23 (8.6%) MDR specimens and 245 (91.4%) non-MDR specimens. When children with CA MDR infections were compared to those with CA non-MDR infections, hospitalization in the preceding 1 year (OR 3.15, 95% CI 1.25–7.99) was the only risk factor significantly associated with MDR on univariable analysis. When children with CA MDR E. coli infections were compared with those with CA PS E. coli infections, multivariable analysis revealed that GU tract anomaly (OR 5.23, 1.49–18.32) and hospitalization in the preceding 1 year (OR 2.66, 1.06–6.69) were significantly associated with CA MDR E. coli infection.
Outcomes of Infection with MDR E. coli
Compared with children with non-MDR infections, children with MDR infections were more likely to have a complex infection (35% vs. 17%, P = 0.026), less likely to receive effective empiric antibiotics (47% vs. 74%, P < 0.001) and had significantly longer time from culture collection to receipt of effective antibiotics (median 19.2 vs. 0.6 h, P < 0.001). The duration of antibiotic treatment was slightly longer for children with MDR infections compared with those with non-MDR infections (11 vs. 10 days, P = 0.027). The hospital length of stay was longer for children with MDR infections compared with those with non-MDR infections (10 vs. 4 days, P = 0.029). Cure rates did not differ significantly between the groups although children with MDR strains tended to have more recurrences than those with non-MDR strains (35% vs. 19%, P = 0.28) (Table 5).
Discussion
We determined risk factors associated with MDR E. coli causing a variety of infectious syndromes by evaluating a contemporary cohort of children, and demonstrated that children with MDR E. coli infections have worse outcomes than those with more drug-susceptible E. coli infections.
We found three independent risk factors associated with MDR E. coli colonization or infection: presence of a GU tract anomaly, presence of an invasive device, and antibiotic use at the time of specimen collection. Our finding that a child with a pre-existing GU tract anomaly is approximately 2.5 times more likely to be colonized or infected with an MDR E. coli strain than a non-MDR strain is consistent with the findings of Topaloglu et al. in their study of risk factors for community-acquired ESBL UTIs (caused by E. coli or Klebsiella species) in Turkish children [19]. Children with GU tract anomalies often require surgical interventions, intermittent urinary catheterization, and antibiotics for prophylaxis or treatment of frequent UTIs. These factors may explain why these children are at high risk for colonization or infection with MDR E. coli. We also found that children with any type of invasive device present at the time of specimen collection were 3.5 times more likely to be colonized or infected with MDR than non-MDR E. coli. These children may have healthcare-acquisition of MDR strains, as invasive devices reflect severe illness and extensive healthcare contact. Additionally, they may be heavily colonized with MDR E. coli strains due to biofilm formation and disruption of the host microbiome [20, 21], severe illness, and antibiotic exposure. Although the association of drug-resistant E. coli and vascular or urinary catheter use has been documented in adult studies [22, 23], this has not been consistently observed in pediatric studies. Zaoutis et al. [12], in a study of children with ESBL-producing Gram-negative bloodstream infections, found that the presence of a central venous or urinary catheter was not a risk factor for ESBL infection. Our inclusion of all types of invasive devices (central venous catheters, ventriculo-peritoneal shunts, etc.) may explain why we found an association between invasive devices and MDR E. coli infection. Lastly, previous broad-spectrum antibiotic use is a well-described risk factor for infection with drug-resistant Gram-negative infections in adults and children [9, 12, 13, 24], and our study provides further evidence for this association.
In the subset of children with community-acquired infections, the above risk factors were not significantly associated with MDR E. coli, likely because our study was underpowered to detect small differences between groups. However, when we excluded children with isolates that were resistant to 1 or 2 agents (and potentially pre-MDR) from this analysis and compared children with CA MDR E. coli to those with CA, pan-susceptible E. coli, GU tract anomalies and prior hospitalization were identified as significant risk factors for MDR infection, likely because there were greater differences in these variables between high-risk and low-risk groups. This suggests that in children, even in community settings, MDR E. coli infections tend to occur in those with comorbidities and healthcare exposure, but are not common among relatively healthy subjects.
Our analyses of outcomes of infection with MDR versus non-MDR isolates revealed that children with MDR infections were more likely to have a complex infection, but that the final outcome of infection did not differ between groups. This is similar to findings by Zaoutis et al. who found no mortality differences between children with ESBL and non-ESBL E. coli and Klebsiella bloodstream infections [12]. In contrast, a study in Taiwan by Tsai et al. [13] of neonates with MDR Gram-negative bacteremia showed higher mortality among those with MDR than those with non-MDR strains. Similarly, a study in Korea by Kim et al. [9] found higher mortality for children with ESBL E. coli and Klebsiella bloodstream infections compared to those with non-ESBL-producing strains. The higher mortality observed in these studies compared with our study may be due to more severe infection in the Asian cohorts (which focused on bloodstream infections and included a large proportion of immunocompromised patients), or geographic differences in antimicrobial resistance. It is also likely that our study was underpowered to detect a difference in mortality between the two groups, given that death is an uncommon outcome of E. coli infections in children in the United States. This is in contrast to studies of adults with E. coli infections which report higher mortalities. We hypothesize that this difference is due to higher prevalence of drug-resistant E. coli in the adult population. This higher prevalence is likely a consequence of more frequent antibiotic exposure and healthcare contact in adults compared to children, a higher number of comorbidities; and inclusion of elderly adults resident in chronic care facilities.
In our study, children with MDR isolates were less likely than children with non-MDR isolates to receive effective empiric antibiotics and had a significantly longer time to receipt of effective antibiotics. While this has been reported among neonates in Taiwan with MDR Gram-negative bloodstream infections, this is the first US study to demonstrate a longer time to appropriate antibiotic therapy among children with MDR E. coli infections. Clinicians may not anticipate MDR E. coli when selecting empiric antibiotics, especially among outpatients, which made up the bulk of our cohort. The longer duration of antibiotic therapy and length of hospital stay noted in children with MDR E. coli infections have also not been demonstrated in other pediatric studies, and may be explained by more severe or complicated infections, or delayed effective therapy among patients with MDR strains.
Our study has the following limitations. We collected data retrospectively which may have led to selection and misclassification biases. Our study was conducted in 2012 and, although our hospital antibiogram has not indicated a change in resistance patterns to suggest that MDR E. coli has expanded more broadly in the community, more recent studies to confirm or refute this are necessary. Urine was the predominant source of E. coli isolates in this study, so our findings may not be applicable to infections or colonization at other body sites. We had few MDR and ESBL isolates and may have had insufficient power to detect differences between some risk factors and outcomes, especially in the subgroup analysis of CA infections. We did not collect data about diet, pets, and household contacts with infection, all of which have been previously implicated in CA E. coli infections [25–28], as medical records regarding these exposures were incomplete. Although we captured the bulk of antibiotic exposures in our cohort, we may have missed antimicrobials that were prescribed outside of Mayo Clinic. Lastly, our study was conducted in a single geographic region and limited to individuals who provided MN research authorization. Therefore, findings may not be generalizable to other communities or institutions with different patient populations and antibiotic resistance phenotypes.
Conclusion
In conclusion, in our region of the US Upper Midwest, MDR E. coli infections were associated with genitourinary tract anomaly, history of recent invasive devices, and recent antibiotic use, and poor outcomes, including delay in initiation of effective antibiotic therapy and longer hospital stay. Our findings demonstrate the need for strategies to predict, prevent and treat drug-resistant E. coli infections, particularly those caused by MDR strains. Such strategies might include implementation of inpatient and outpatient antibiotic stewardship programs, improved infection control practices, provider education about the epidemiology, outcomes, and risk factors for MDR E. coli infections, and the development of novel diagnostics that enable rapid detection of MDR E. coli.
Acknowledgements
This work was supported in part by the Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA, the Mayo Clinic Center for Clinical and Translational Science grant (UL1 TR000135) and the National Institute on Aging of the National Institutes of Health under Award Number R01AG034676. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. No funding was received for the article processing charges. All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this manuscript, take responsibility for the integrity of the work as a whole, and have given final approval for the version to be published. We thank the staff of the clinical microbiology laboratories of Mayo Clinic and Olmsted Medical Center for providing us with microbiology data. We are also grateful to Louis Schencke and Ann Houtsma for their assistance with database design and chart abstraction and to Drs. Larry Baddour, Thomas Boyce, and W. Charles Huskins for their guidance.
Disclosures
A.S. Uzodi, C.M. Lohse and R. Banerjee have no disclosures.
Compliance with Ethics Guidelines
This study was approved by the Mayo Clinic Institutional Review Board. This article does not contain any new studies with human or animal subjects performed by any of the authors.
Data Availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Open Access
This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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References
- 1.Biondi E, Evans R, Mischler M, et al. Epidemiology of bacteremia in febrile infants in the United States. Pediatrics. 2013;132:990–996. doi: 10.1542/peds.2013-1759. [DOI] [PubMed] [Google Scholar]
- 2.Stoll BJ, Hansen NI, Sanchez PJ, et al. Early onset neonatal sepsis: the burden of group B Streptococcal and E. coli disease continues. Pediatrics. 2011;127:817–826. doi: 10.1542/peds.2010-2217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Greenhow TL, Hung YY, Herz AM, Losada E, Pantell RH. The changing epidemiology of serious bacterial infections in young infants. Pediatr Infect Dis J. 2014;33:595–599. doi: 10.1097/INF.0000000000000225. [DOI] [PubMed] [Google Scholar]
- 4.Edlin RS, Shapiro DJ, Hersh AL, Copp HL. Antibiotic resistance patterns of outpatient pediatric urinary tract infections. J Urol. 2013;190:222–227. doi: 10.1016/j.juro.2013.01.069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Blaschke AJ, Korgenski EK, Daly JA, LaFleur B, Pavia AT, Byington CL. Extended-spectrum beta-lactamase-producing pathogens in a children’s hospital: a 5-year experience. Am J Infect Control. 2009;37:435–441. doi: 10.1016/j.ajic.2008.09.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Sievert DM, Ricks P, Edwards JR, et al. Antimicrobial-resistant pathogens associated with healthcare-associated infections: summary of data reported to the National Healthcare Safety Network at the Centers for Disease Control and Prevention, 2009–2010. Infect Control Hosp Epidemiol. 2013;34:1–14. doi: 10.1086/668770. [DOI] [PubMed] [Google Scholar]
- 7.Swami SK, Liesinger JT, Shah N, Baddour LM, Banerjee R. Incidence of antibiotic-resistant Escherichia coli bacteriuria according to age and location of onset: a population-based study from Olmsted County, Minnesota. Mayo Clin Proc. 2012;87:753–759. doi: 10.1016/j.mayocp.2012.02.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Cosgrove SE. The relationship between antimicrobial resistance and patient outcomes: mortality, length of hospital stay, and health care costs. Clin Infect Dis. 2006;42(Suppl 2):S82–S89. doi: 10.1086/499406. [DOI] [PubMed] [Google Scholar]
- 9.Kim YK, Pai H, Lee HJ, et al. Bloodstream infections by extended-spectrum beta-lactamase-producing Escherichia coli and Klebsiella pneumoniae in children: epidemiology and clinical outcome. Antimicrob Agents Chemother. 2002;46:1481–1491. doi: 10.1128/AAC.46.5.1481-1491.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ofner-Agostini M, Simor A, Mulvey M, et al. Risk factors for and outcomes associated with clinical isolates of Escherichia coli and Klebsiella species resistant to extended-spectrum cephalosporins among patients admitted to Canadian hospitals. Can J Infect Dis Med Microbiol. 2009;20:e43–e48. doi: 10.1155/2009/725872. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Centers for Disease Control. Antibiotic Resistance Threats in the United States, 2013. http://www.cdc.gov/drugresistance/threat-report-2013/. Accessed 6 May 2015.
- 12.Zaoutis TE, Goyal M, Chu JH, et al. Risk factors for and outcomes of bloodstream infection caused by extended-spectrum beta-lactamase-producing Escherichia coli and Klebsiella species in children. Pediatrics. 2005;115:942–949. doi: 10.1542/peds.2004-1289. [DOI] [PubMed] [Google Scholar]
- 13.Tsai MH, Chu SM, Hsu JF, et al. Risk factors and outcomes for multidrug-resistant Gram-negative bacteremia in the NICU. Pediatrics. 2014;133:e322–e329. doi: 10.1542/peds.2013-1248. [DOI] [PubMed] [Google Scholar]
- 14.Banerjee R, Strahilevitz J, Johnson JR, et al. Predictors and molecular epidemiology of community-onset extended-spectrum beta-lactamase-producing Escherichia coli infection in a Midwestern Community. Infect Control Hosp Epidemiol. 2013;34:947–953. doi: 10.1086/671725. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Magiorakos AP, Srinivasan A, Carey RB, et al. Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance. Clin Microbiol Infect. 2012;18:268–281. doi: 10.1111/j.1469-0691.2011.03570.x. [DOI] [PubMed] [Google Scholar]
- 16.Friedman ND, Kaye KS, Stout JE, et al. Health care–associated bloodstream infections in adults: a reason to change the accepted definition of community-acquired infections. Ann Intern Med. 2002;137:791–797. doi: 10.7326/0003-4819-137-10-200211190-00007. [DOI] [PubMed] [Google Scholar]
- 17.Banerjee R, Johnson JR. Escherichia coli ST131: variations on a theme of clonal expansion. Enferm Infecc Microbiol Clin. 2013;31:355–356. doi: 10.1016/j.eimc.2013.01.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Banerjee R, Johnston B, Lohse C, Porter SB, Clabots C, Johnson JR. Escherichia coli sequence type 131 is a dominant, antimicrobial-resistant clonal group associated with healthcare and elderly hosts. Infect Control Hosp Epidemiol. 2013;34:361–369. doi: 10.1086/669865. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Topaloglu R, Er I, Dogan BG, et al. Risk factors in community-acquired urinary tract infections caused by ESBL-producing bacteria in children. Pediatr Nephrol. 2010;25:919–925. doi: 10.1007/s00467-009-1431-3. [DOI] [PubMed] [Google Scholar]
- 20.Singhai M, Malik A, Shahid M, Malik MA, Goyal R. A study on device-related infections with special reference to biofilm production and antibiotic resistance. J Glob Infect Dis. 2012;4:193–198. doi: 10.4103/0974-777X.103896. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Subramanian P, Shanmugam N, Sivaraman U, Kumar S, Selvaraj S. Antiobiotic resistance pattern of biofilm-forming uropathogens isolated from catheterised patients in Pondicherry. India. Australas Med J. 2012;5:344–348. doi: 10.4066/AMJ.2012.1193. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Siedelman L, Kline S, Duval S. Risk factors for community- and health facility-acquired extended-spectrum beta-lactamase-producing bacterial infections in patients at the University of Minnesota Medical Center. Fairview. Am J Infect Control. 2012;40:849–853. doi: 10.1016/j.ajic.2011.10.019. [DOI] [PubMed] [Google Scholar]
- 23.Goyal A, Prasad KN, Prasad A, Gupta S, Ghoshal U, Ayyagari A. Extended spectrum beta-lactamases in Escherichia coli & Klebsiella pneumoniae & associated risk factors. Indian J Med Res. 2009;129:695–700. [PubMed] [Google Scholar]
- 24.Lutter SA, Currie ML, Mitz LB, Greenbaum LA. Antibiotic resistance patterns in children hospitalized for urinary tract infections. Arch Pediatr Adolesc Med. 2005;159:924–928. doi: 10.1001/archpedi.159.10.924. [DOI] [PubMed] [Google Scholar]
- 25.Meyer E, Gastmeier P, Kola A, Schwab F. Pet animals and foreign travel are risk factors for colonisation with extended-spectrum beta-lactamase-producing Escherichia coli. Infection. 2012;40:685–687. doi: 10.1007/s15010-012-0324-8. [DOI] [PubMed] [Google Scholar]
- 26.Coleman BL, Salvadori MI, McGeer AJ, et al. The role of drinking water in the transmission of antimicrobial-resistant E. coli. Epidemiol Infect. 2012;140:633–642. doi: 10.1017/S0950268811001038. [DOI] [PubMed] [Google Scholar]
- 27.Seidman JC, Anitha KP, Kanungo R, Bourgeois AL, Coles CL. Risk factors for antibiotic-resistant E. coli in children in a rural area. Epidemiol Infect. 2009;137:879–888. doi: 10.1017/S0950268808001519. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Lietzau S, Raum E, von Baum H, Marre R, Brenner H. Household contacts were key factor for children’s colonization with resistant Escherichia coli in community setting. J Clin Epidemiol. 2007;60:1149–1155. doi: 10.1016/j.jclinepi.2007.01.016. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.