Materials and methods
1. Subjects
We identified pediatric patients, 18 years or younger, who were admitted to the Pediatrics Clinic of Dongguk University Gyeongju Hospital from January 2008 to December 2016, and then diagnosed with UTI. Of these, 212 patients who exhibited E. coli were selected as subjects.
2. Methods
Inclusion criteria were pediatric patients who had fever 38.0℃ or higher and pyuria, with at least five white blood cells in urine/high-power field (HPF), leading to clinical suspicion of UTI, or patients whose urine culture test produced E. coli in at least 105 colony-forming units (CFU)/mL. Based on these findings, we determined these patients had UTIs caused by E. coli . Patients with two or more strains on culture were excluded.
For urine collection, the urethrae externum was cleaned with boric acid and distilled water. Thereafter, a clean catch midstream urine sample was collected from children who were potty-trained, while the sterile urine collection bag method or catheterization method was used to collect urine from infants who were not potty-trained. For urine culture, 0.001 mL of collected urine was inoculated on a 5% sheep blood agar plate and MacConkey agar plate, followed by incubation at 36℃ within a 5% CO2 incubator for 48 hrs. We then analyzed all formed colonies.
We examined the gender distribution and age in pediatric patients with E. coli UTIs, and then retrospectively analyzed antibiotic susceptibility of the E. coli , depending on ESBL production. For comparative analysis by age, we divided patients into three groups aged: younger than 1 month; 1-12 months, and 13 months or older. To balance the sample number between periods, we compared 111 cases from January 2008 to December 2012 (study period 1) and 101 cases from January 2013 to December to 2016 (study period 2).
Antibiotic susceptibility test was performed using the VITEKⓇ-2 Antimicrobial Susceptibility Test (AST) card (Bio-Mérieux, Marcy l’Etoile, France), an automatic device for bacterial identification and measurement of antibiotic susceptibility. As a result, antibiotic susceptibility was divided into resistance, intermediate resistance and susceptibility, with intermediate resistance regarded as resistance for the purposes of statistical analysis.
For the ESBL test, we used the VITEKⓇ-2 ESBL test using VITEKⓇ-2 Antimicrobial Susceptibility Test card. The panel consisted of six containers, where three containers contained 0.5 mg/L ceftazidime, 0.5 mg/L cefotaxime, and 1.0 mg/L cefepime, respectively, and the remaining three containers held either 4 mg/L, 4 mg/L or 10 mg/L of clavulanic acid in addition to 0.5 mg/L ceftazidime, 0.5 mg/L cefotaxime and 1.0 mg/L cefepime, respectively. Unlike the containers that only contained cephalosporins, if bacterial cultures were inhibited only in the containers with both cephalosporins and clavulanic acid, the strain was considered as an ESBL-producing strain. In cases where there was at least one positive result, out of the three containers, the strain was confirmed as an ESBL-producing strain.
3. Statistical analysis
We used the Korean version of SPSS 18.0 for windows program, and applied analytical methods for each item including the Pearson chi-square, chi-square test for trend, and Fisher's exact test. The significance level was set as P value<0.05.
Discussion
UTI is a common childhood infectious disease, affecting approximately 3-5% of girls and 1% of boys [
6]. Failed early diagnosis and timely initiation of appropriate antibiotic treatment may induce renal parenchymal injury, leading to complications such as renal scarring, hypertension, and chronic kidney disease. Children often exhibit non-specific, systemic symptoms, including fever, diarrhea, vomiting, difficulty in breast feeding tantrum, and abdominal distention. These symptoms can result in incorrect diagnosis with simple febrile disease or enteritis. Children who have fever with unknown cause should undergo differential diagnosis for UTI.
Recently, rates of antibiotic resistance have increased, along with increased extended antibiotic use. These factors result in the emergence of multidrug-resistant organisms. The Infectious Diseases Society of America (IDSA) recommended that doctors should continuously inspect and monitor distribution of local UTI strains, as well antibiotic susceptibility changes in these strains [
7].
In children, incidence of UTI varies depending on age and gender. The gender ratio between boys and girls under 1 year of age was 2.8-5.4:1, showing that boys had a higher incidence. The ratio became 1:10 among children 1-2 years of age, showing that the incidence in girls exceeded that in boys [
6]. According to another study in South Korea, the ratio between boys and girls under 1 year of age was 2.55-3.4:1, changing to 1:0.6-1.05 in children age 1 year or older [
8,
9]. In the present study, ratios between boys and girls by age were 2.21:1 in children younger than 1 month, 3.31:1 in children 1-12 months old, and 1:1.25 in children 13 months or older, showing that UTI incidence was higher in infants and boys aged 1 year or younger, and girls aged 1 year or older.
When we compared all pediatric patients by age, after dividing them into categories including those younger than 1 month (n=29), 1-12 months (n=138), and 13 months or older (n=45), E. coli showed increasing resistance with age to amoxicillin/clavulanate (P<0.001), ampicillin (P =0.013), levofloxacin (P =0.050), TZP (P <0.001), and TMP/SMX (P =0.002). This may be due to more frequent exposure to antibiotics with age; however, these relationships warrant further investigation.
In a 2001 study on antibiotic susceptibility of
E. coli, Ko et al., [
10] reported a 7.9% rate of resistance to
E. coli for cefotaxime, whereas the present study found this rate to be 5.4 % in 2008-2012 and 16.8% in 2013-2016, showing a significant increasing trend (
P =0.008). On the other hand, resistance to TZP significantly decreased over these periods from 40.5% to 7.9% (
P<0.001). These are suspected to be related with frequency of antibiotic used in the local community, which requires further study.
In a 1999 study on community-acquired UTI infections in Spain, Daza et al., [
11] reported a 0.4% incidence of ESBL-producing
E. coli , while Khurana et al., [
12] reported a 24.7% incidence of UTIs caused by ESBL-producing
E. coli in India in 2002. In the present study, the frequency of ESBL-producing
E. coli during the total study period was 10.0%, within the range (3.3-10.8%) of previous reports [
5,
13,
14]. When we investigated the frequency of ESBL-producing
E. coli by period in 2008-2012 and in 2013-2016, we observed a significant increasing trend, from 4.6% to 15.9%.
In addition, the antibiotic susceptibility test of the ESBL (+) strain of 21 cases showed 100% resistance to cefotaxime. Of these, 19 cases were clinically improved without antibiotic change, and antibiotics were changed in 2 cases due to no clinical improvement. Therefore, the treatment outcome should be considered the basis of actual clinical improvement as well as antibiotic susceptibility results [
13].
Procop et al., [
15] reported that ESBL-producing
Klebsiella pneumonia also had a lower susceptibility to non-β-lactam antibiotics including gentamicin (
P<0.001), amaikacin (
P< 0.005), TMP/SMX (
P<0.01), and nitrofurantoin (
P<0.001) than ESBL non-producing
Klebsiella pneumonia. The present study found a lower susceptibility to gentamicin (
P = 0.004), levofloxacin (
P =0.013), and TMP/SMX (
P =0.004). Therefore, it is necessary to consider antibiotic susceptibility results when choosing antibiotics for treatment.
Compared to the first UTI onset group, the recurrent UTI group had significantly higher resistance to amikacin (P =0.034), amoxicillin/clavulanate (P =0.012), levofloxacin (P =0.029), and TZP (P =0.045), likely because the recurrence group had higher rates of urogenital anomalies and exposure to antibiotics. In the present study, 27 patients underwent a voiding cystourethrogram (VCUG), in which 18 patients had normal findings, and 9 patients showed findings consistent with vesicoureteral reflux. Of the 9 cases with vesicoureteral reflux, 3 patients were in the initial UTI group, and 6 patients were in the recurrent UTI group, indicating that patients with recurrent UTIs had more vesicoureteral reflux findings. To confirm the relationship, further investigation of urinary tract anomalies, with more samples through VCUG and 99mTc-dimercaptosuccinic Acid (DMSA) Scans are needed.
Since a higher proportion of patients with abnormal findings on renal ultrasonography had recurrent UTIs, due to issues such as structural urinary tract deformities, compared to the normal group, we expected this group would also have a higher rate of antibiotic resistance. However, there were 17 patients (13.28%) with recurrent UTIs among the 128 patients within the normal group, and 6 patients (6.66%) among the 49 patients in the abnormal group on renal ultrasonography. Thus, the normal group had a higher proportion of individuals with recurrent UTIs. No antibiotics showed significant differences in resistance when we compared the two groups. Therefore, renal ultrasonography alone was not helpful for determining the rate of antibiotic resistance.
The present study investigated antibiotic susceptibility in pediatric patients with UTI caused by E. coli over a 9-year sampling period. Urine samples were obtained in 186 cases using the sterile urine collection bag method, 19 cases using a clean catch midstream urine sample, and 7 cases using the catheterization method. The sterile urine collection bag method was the most commonly used urine sample method. However, there were limitations in analyzing the data of antibiotic resistance according to each urine collection methods.
We found increases in the incidence of ESBL-producing E. coli and resistance to cefotaxime. The cause of the increase in the antibiotic resistance rate should be studied in a multifaceted way. These findings warrant further investigation into the frequency of antibiotic use, and its cumulative use, to study changes in antibiotic susceptibility. In addition to total frequency of antibiotic use in the local community, to determine the relationships between these factors and rates of antibiotic resistance, investigation of exposure history and the frequency of antibiotic exposure in individuals are needed.