Literature DB >> 34188500

Resistance Patterns from Urine Cultures in Children Aged 0 to 6 Years: Implications for Empirical Antibiotic Choice.

Carlotta Montagnani1, Chiara Tersigni2, Sara D'Arienzo3, Andreea Miftode4, Elisabetta Venturini1, Barbara Bortone1, Leila Bianchi1, Elena Chiappini1,5, Silvia Forni3, Fabrizio Gemmi3, Luisa Galli1,5.   

Abstract

PURPOSE: Urinary tract infection (UTI) is a frequent disorder of childhood, caused mainly by Gram negative Enterobacterales. The aim of this study is to evaluate etiology and antimicrobial susceptibility patterns of bacterial isolates in urine cultures of children under the age of 6 and to analyze the relationship between previous hospitalization or antibiotic prescriptions and antimicrobial resistance rates. PATIENTS AND METHODS: A retrospective study on positive urine cultures from 13 public laboratories in Tuscany, Italy was conducted. Data were obtained by reviewing records of the "Microbiological and Antibiotic-Resistance Surveillance System" (SMART) in Tuscany, Italy. A total of 2944 positive urine cultures were collected from 2445 children.
RESULTS: Escherichia coli represented the majority of isolates (54,2%), followed by Enterococcus faecalis (12,3%), Proteus mirabilis (10,3%) and Klebsiella pneumoniae (6,6%). Isolated uropathogens showed high resistance rates to amoxicillin-clavulanate (>25%), particularly in children under one year of age or hospitalized within the 12 months before the sample collection. High susceptibility rates were reported of aminoglycosides, cephalosporins and quinolones (>90%). Previous antibiotic prescriptions by general pediatricians did not increase resistance rates.
CONCLUSION: Our results show a rate of amoxicillin-clavulanate resistance of 25%. Higher resistance rates were reported in children under one year of age and with previous hospitalization. Hence, amoxicillin-clavulanate should be used carefully in young children and those with severe symptoms.
© 2021 Montagnani et al.

Entities:  

Keywords:  antibiotic therapy; antimicrobial resistance; infant; urinary tract infections

Year:  2021        PMID: 34188500      PMCID: PMC8236245          DOI: 10.2147/IDR.S293279

Source DB:  PubMed          Journal:  Infect Drug Resist        ISSN: 1178-6973            Impact factor:   4.003


Introduction

Urinary tract infections (UTIs) are one of the most common infections in children, caused in the majority of cases by Gram negative bacteria with Escherichia coli as the most common isolated pathogen.1,2 The gold standard for diagnosis is represented by urinary culture, which, however, presents several difficulties especially in young children and takes time to obtain results.3 In case of clinical suspicion and with the help of rapid urinary tests (urine dipstick) and urine microscopy, it is recommended to start, as quickly as possible, an empirical antibiotic therapy based on the age of the child, the clinical presentation and local epidemiology.3–5 It is therefore pivotal to establish local patterns of antibiotic resistance to guide the choice of the empirical antibiotic therapy.3,6,7 In fact, a strong correlation between the use of antibiotics and the development of antibiotic resistance has been clearly demonstrated.8–10 In addition, the need to modify empirical treatment as quickly as possible has been recognized as one of the key elements of antimicrobial stewardship programs.11 The main aim of the present study was to evaluate the epidemiology of isolated pathogens from urine culture in children aged 0 to 6 years both in hospital and in community settings in Tuscany, Italy. The role of risk factors, such as previous hospitalization or previous antibiotic prescriptions (six months beforehand) on antibiotic-sensitivity patterns was also evaluated.

Patients and Methods

Urine cultures from outpatients and hospitalized children aged 0 to 6 years collected in the years 2017 and 2018 in Tuscany were evaluated retrospectively. Data were obtained by reviewing records of the “Microbiological and Antibiotic-Resistance Surveillance System” (SMART) in Tuscany, Italy. The system contains information regarding isolated pathogens and sensitivity tests from blood, liquor and urine culture from 13 public laboratories in Tuscany. Urine cultures replicated within 28 days were excluded. The following data were collected according to the European Antimicrobial Resistance Surveillance Network (EARS-net) criteria: demographic characteristics (age, sex), isolated pathogens, antimicrobial susceptibility tests, data regarding hospital admissions (at the time of sample collection, four days before or after sample collection, one year before sample collection), antimicrobial prescriptions by the general pediatrician six months before the sample collection.12 Data on hospitalization and antibiotic use were obtained from Hospital Discharge Abstract. To define children treated with antibiotics, the Anatomical Therapeutic Chemical classification system was used (J01, antibacterials for systemic use). Data regarding antibiotic consumption in Tuscany included: drugs supplied by both private and public pharmacies, molecules dispensed under medical prescription and pharmaceutical services provided directly by public structures. At least one prescription of these drugs in the period between 0 and 180 days prior to the urine culture collection was included in the analysis. This study was conducted in accordance with the Helsinki Declaration. According to Italian legislation (legislative decree 211/2003) and regional procedures, the study does not need ethics approval as it is a purely observational study on routine collected anonymous data. Moreover, informed consent to participate in the study is not required since data were obtained by an anonymous regional surveillance system. Furthermore, because this was an observational retrospective study, patients had already been treated when the study protocol was written; therefore, it could not have modified their life-trajectories or care pathways in any way. Antimicrobial prescriptions by the general pediatrician in the last six months (in non-hospitalized children) before the sample collection and hospital admissions in the year before were considered as risk factors for the development of UTIs caused by a resistant pathogen. Children were classified in three categories: - Those hospitalized during the last year before urine culture collection (difference between data of collection of the urine sample and data of hospital discharge between 0 and 365 days) - Those with antibiotic prescriptions in the six months before urine culture collection - Those without hospitalization history or antibiotic prescriptions Statistical analysis was performed using STATA (version 14.0). The χ-square test and Fisher test were performed when appropriate.

Results

Overall, 2944 positive urine cultures were evaluated in 2445 children. One thousand three hundred and sixteen (54%) were female. The median age of enrolled children was 13 months (Interquartile range [IQR]: 4–34 months). Children under one year of age accounted for the highest proportion of positive urine cultures (1184 patients, 48%). A statistically significant difference in sex distribution regarding positive urine cultures was observed (p <0.001). In particular, regarding children under one year of age, positive urine cultures were detected more frequently in males (658, 55%), whereas the highest proportion was observed in females (790/1261, 62.5%) in older children. About 10% of children (258/2445) were hospitalized in the year before the urine sample collection, with 39% of patients under one year of age. In 34.3% of non-hospitalized children (751/2187) at least one course of antibiotic therapy in the 6 months before the collection of the urinary sample was prescribed. Age and sex distribution in children with/without risk factors for UTIs is reported in Table 1.
Table 1

Age and Sex Distribution of Enrolled Children According to Different Categories (Hospitalized Children and Outpatients) and Risk Factors

Age GroupsSex
< 1 Yearn= 1184≥ 1 Yearn=1261Femalen=1316Malen=1129
Hospital admission in the previous yearn (%)100(8.4)158(12.5)145(11.0)113(10.0)
Antibiotic prescription in the previous six monthsn (%)173(14.6)578(45.8)312(23.7)439(38.8)
No previous hospital admission or antibiotic prescriptionn (%)911(76.9)525(41.6)672(51.0)764(67.7)
Outpatients(n, %)844(71.3)1140(90.4)891(67.7)1093(96.8)
Hospitalized(n, %)267(22.5)103(8.2)185(14.0)185(16.4)
Hospitalized in the four previous days(n, %)66(5.6)17(1.3)47(3.6)36(3.2)
Hospitalized in the following four days(n, %)7(0.6)1(0.08)6(0.4)2(0.2)

Abbreviation: UTI, urinary tract infection.

Age and Sex Distribution of Enrolled Children According to Different Categories (Hospitalized Children and Outpatients) and Risk Factors Abbreviation: UTI, urinary tract infection. Hospitalized children at the time of urine culture, four days before or four days after the sample collection, were most commonly under one year of age (340/1184 vs 121/1261, p<0.001).

Urine Culture results

During the study period, 3247 microorganisms were isolated in 2944 urine cultures. Of those, 498 (15.3%) were isolated in children with a history of hospitalization in the previous year. Regarding patients who had never been hospitalized, 1017 microorganisms (31.3%) were isolated in children who received antibiotic therapy in the previous 6 months and 1732 (53.3%) in patients with no history of previous antibiotic prescriptions.

Isolated Pathogens

The most frequently isolated microorganism was E. coli with 1759/3247 total cases (54.2%), followed by Enterococcus faecalis (400/3247,12.3%), Proteus mirabilis (336/3247, 10.3%) and Klebsiella pneumoniae (214/3247, 6.6%) Pathogen distribution according to age groups was reported and risk factors were reported in Tables 2 and 3.
Table 2

Isolated Pathogens According to Age Groups

< 1 Yearn=1585(n, %)≥1 Yearn=1662(n, %)P
Escherichia coli872 (55.0)887 (53.4)0.3
Proteus mirabilis45 (2.8)291 (17.5)< 0.001
Klebsliella pneumoniae149 (9.4)64 (3.8)< 0.001
Other Enterobacteriaceae*199 (12.5)96 (5.8)< 0.001
Pseudomonas aeruginosa31 (1.9)57 (3.4)0.009
Enterococcus faecalis213 (13.4)187 (11.2)0.06
Enterococcus faecium24 (1.5)6 (0.4)< 0.001
CONS14 (0.9)29 (1.7)0.04
Staphylococcus aureus12 (0.8)6 (0.4)0.13
Streptococcus agalactiae6 (0.4)3 (0.2)0.46
Acinetobacter spp.1 (0.1)2 (0.1)>0.99
Candida spp.1 (0.1)0 (0.0)>0.99
Other§18 (1.1)34 (2.1)0.04

Notes: *Klebsiella oxytoca, Enterobacter cloacae, Morganella morganii, Citrobacter koseri, Citrobacter freundii, Enterobacter aerogenes, Pantoea agglomerans, Serratia marcescens, Serratia liquefaciens, Raoultella ornithinolytica; §Streptococcus salivarius, Streptococcus sanguinis, Streptococcus mitis, Aeromonas sobria, Micrococcus luteus, Pseudomonas putida; Bold, significant (< 0.05).

Abbreviation: CONS, coagulase negative staphylococci.

Table 3

Pathogen Distribution in Children with and without Risk Factors

Risk FactorsNo Risk FactorsTotal (n, %)
Hospital Admission (n, %)Antibiotic Prescription (n, %)No Hospital Admission, No Antibiotic Prescription (n, %)
E. coli243 (48.8%)563 (55.4%)953 (55.0%)1759 (54.2%)
E. faecalis65 (13.1%)124 (12.2%)211 (12.2%)400 (12.3%)
P. mirabilis46 (9.2%)158 (15.5%)132 (7.6%)336 (10.3%)
Other Enterobacteriaceae58(11.6%)72 (7.1%)165 (9.5%)295 (9.1%)
K.pneumoniae35 (7.0%)40 (3.9%)138 (8.0%)213 (6.6%)
P.aeruginosa27 (5.4%)27 (2.7%)34 (2.0%)88 (2.7%)
Other8 (1.6%)12 (1.2%)32 (1.8%)52 (1.6%)
CONS5 (1.0%)11 (1.1%)27 (1.6%)43 (1.3%)
E.faecium8 (1.6%)2 (0.2%)4 (1.2%)30 (0.9%)
S.aureus0 (0.0%)4 (0.4%)14 (0.8%)18 (0.6%)
S. agalactiae3 (0.6%)3 (0.3%)3 (0.2%)9 (0.3%)
Acinetobacter spp.0 (0.0%)1 (0.1%)2 (0.1%)3 (0.1%)
Candida spp.0 (0.0%)0 (0.0%)1 (0.1%)1 (0.0%)
Total498 (100%)1017 (100%)1732 (100%)3247 (100%)

Abbreviation: CONS, coagulase negative staphylococci.

Isolated Pathogens According to Age Groups Notes: *Klebsiella oxytoca, Enterobacter cloacae, Morganella morganii, Citrobacter koseri, Citrobacter freundii, Enterobacter aerogenes, Pantoea agglomerans, Serratia marcescens, Serratia liquefaciens, Raoultella ornithinolytica; §Streptococcus salivarius, Streptococcus sanguinis, Streptococcus mitis, Aeromonas sobria, Micrococcus luteus, Pseudomonas putida; Bold, significant (< 0.05). Abbreviation: CONS, coagulase negative staphylococci. Pathogen Distribution in Children with and without Risk Factors Abbreviation: CONS, coagulase negative staphylococci. P. mirabilis and P. aeruginosa were isolated more frequently in children with previous hospitalization in the last year or an antibiotic prescription in the last 6 months (p <0.001 and p = 0, 006, respectively). On the contrary, isolation of K. pneumoniae was more frequent in children without risk factors (p<0.001).

Antibiotic Resistance Patterns and Antimicrobial Susceptibility Tests

Resistance patterns of isolated pathogens in urine cultures to the main classes of antibiotics are reported in Table 3. Isolated microorganisms in urine cultures of children under one year of age were more resistant (p <0.001 for aminoglycosides, cephalosporins and quinolones, p = 0.002 for amoxicillin-clavulanic acid) (Table 4).
Table 4

Antibiotic Resistance Patterns Related to Age Groups, to Hospital Admissions in the Year Before the Sample Collection and to Children with and without Risk Factors

Age GroupspHospital AdmissionpRisk Factorsp
< 1 Year≥ 1 YearPrevious Hospital AdmissionNo Hospital AdmissionNo Risk FactorsRisk Factors
Aminoglicosidesn (%)168/3067 (5.5%)115/3139 (3.7%)<0.00141/911 (4.5%)242/5295 (4.5%)0.4103/2785 (3.7%)180/3421 (5.3%)0.003
Cephalosporinsn (%)431/4216 (10.2%)226/4458 (5.1%)<0.001119/1269 (9.4%)538/7405 (7.2%)0.009240/3914 (6.13%)417/4760 (8.8%)<0.001
Amoxicillin – clavulanic acidn (%)420/1506 (27.9%)359/1531 (23.4%)0.002129/434 (29.7%)650/2603 (25.0%)0.002426/1669 (25.5%)353/1368 (25.8%)0.43
Fluoroquinolonesn(%)65/3160 (2.1%)18/3327 (0.5%)<0.00122/1000 (2.2%)61/5487 (1.1%)0.00530/3034 (1.0%)53/3453 (1.5%)0.005

Note: Bold, significant (< 0.05).

Antibiotic Resistance Patterns Related to Age Groups, to Hospital Admissions in the Year Before the Sample Collection and to Children with and without Risk Factors Note: Bold, significant (< 0.05). Resistance patterns of isolated microorganisms in relation to previous hospitalization in the year preceding urine culture are reported in Table 4. In previously hospitalized children, a higher percentage of resistant strains to cephalosporins (p = 0.009), amoxicillin-clavulanic acid (p = 0.02) and quinolones (p = 0.005) was reported. Higher resistance rates were detected in children with no history of hospitalization in the previous year or with an antibiotic prescription in the previous 6 months for aminoglycosides (p = 0.003), cephalosporins (p <0.001) and quinolones (p = 0.05). On the contrary, no statistically significant differences were reported for amoxicillin-clavulanic acid (Table 4). E. coli showed a good susceptibility profile to cephalosporins and aminoglycosides (>90%). On the other hand, the percentages of resistance rates to ampicillin and amoxicillin-clavulanic acid were high (above 40 and 20% respectively) (Figure 1).
Figure 1

Antimicrobial susceptibility patterns of the most common isolated pathogens.

Antimicrobial susceptibility patterns of the most common isolated pathogens. E. faecalis, the second most frequently isolated microorganism, was largely sensitive to antibiotics for which its resistance profile was evaluated, with percentages >95% (Figure 1). P. mirabilis showed sensitivity to amoxicillin-clavulanic acid, cephalosporins and to aminoglycosides in more than 90% of cases but higher resistance rates were reported for ampicillin and co-trimoxazole (>20%) (Figure 1). K. pneumoniae exhibited resistance rates >20% against amoxicillin-clavulanic acid, piperacillin-tazobactam, gentamicin and levofloxacin. Sensitivity to cephalosporins was >90% (Figure 1).

Discussion

Although the diagnosis of UTI is based on the microbiological confirmation obtained through urine culture, the recommendation to start early empirical antibiotic treatment in suspected cases is widely accepted, in order to avoid potential complications, especially in younger children.3,6,7 Therefore, the knowledge of local epidemiology and susceptibility patterns of pathogens as a guide for empirical antibiotic choice is pivotal for correct management of UTIs in children. Recently published Italian guidelines suggested as first-line oral treatment amoxicillin-clavulanic acid followed by III generation cephalosporins (cefixime and ceftibuten).7 The American Academy of Pediatrics (AAP) guidelines also reported the use of amoxicillin-clavulanic acid, cephalosporins of I (cefalexin), II (cefprozil and cefuroxime axetil) and III generation (cefixime and cefpodoxime) and of cotrimoxazole as first-line suggested treatments.3 In addition, the English National Institute for Health and Care Excellence guidelines suggested the use of oral cefalexin as first treatment option. The use of amoxicillin-clavulanic acid was reserved to situations in which sensitivity was demonstrated by urine culture.6 In case of intravenous treatment, both Italian and English guidelines, suggested the use of amoxicillin-clavulanic acid or ampicillin-sulbactam and, as alternative treatment, third-generation cephalosporins (cefotaxime or ceftriaxone) or aminoglycosides.6,7 The AAP recommended the use of piperacillin, third-generation cephalosporins (ceftriaxone, cefotaxime or ceftazidime) or aminoglycosides.3 The use of fluoroquinolones remains controversial and should be reserved to selected cases based on pathogen resistance patterns.7 Our retrospective study describes the susceptibility patterns of microorganisms isolated from urine cultures obtained from children in Tuscany in the years 2017–2018. Eighty-five percent of the enrolled children were not hospitalized at the time of sample collection. The most frequently isolated pathogens were E. coli (54.2%), followed by E. faecalis (12.3%) and P. mirabilis (10.3%). Resistance rates to amoxicillin-clavulanic acid in our setting was high (>25%), particularly in children under one year of age compared to the older ones (27,9% vs 23.4%, p=0.002) and with a history of hospitalization in the previous year (29,7% vs 25%, p=0.02). These results were in line with a study published in 2016 by Calzi et al, in which the percentages of resistance rates for E. coli and other Enterobacterales to amoxicillin-clavulanic acid were over 30% (35.6 and 39.3% respectively).13 A greater susceptibility to amoxicillin-clavulanic acid however was found in children under one year (26.1% of resistance compared to 32.4% in patients aged ≥1 year).13 Based on antibiotic resistance patterns reported by Calzi et al and confirmed by our study, the choice of use of amoxicillin-clavulanic acid or ampicillin-sulbactam as empirical first-line treatment should be carefully evaluated, above all in children under one year of age, and limited to patients in good clinical conditions.13 Cephalosporins showed acceptable values of susceptibility rates (91%), representing a valid therapeutic option. A similar sensitivity pattern was reported in the study conducted by Calzi et al, with a resistance of E. coli to cefuroxime of about 11%. Aminoglycosides also showed a good susceptibility profile (93%).13 However, based on the nephrotoxicity of this category of drugs, they should be used with caution.14–17 A retrospective study conducted in 2011 showed that a percentage ranging from 20 to 30% of children receiving an aminoglycoside (amikacin, netilmicin and streptomycin) for more than 5 days developed acute kidney injury.15,16 Furthermore, in case of UTIs caused by P. aeruginosa, monotherapy with aminoglycosides was associated with an increased risk of resistance.17 In addition, in our study the highest percentages of resistance rates were reported in children under one year of age. This may be associated with peripartum exposure to maternal antibiotics, which increases the risk of resistant rods in the newborn.18,19 In fact, a significant increase in E. coli’s resistance rates to amoxicillin in newborns with a history of maternal antibiotic treatment was reported (81.8% compared to 35.5%, respectively).18,19 Furthermore, the increased resistance rates in children under one year of age could be related to the acquisition of nosocomial microorganisms at the time of birth.18,19 Moreover, high resistance rates to amoxicillin-clavulanic acid found in our study could also be related to the wide use of amoxicillin-clavulanic acid compared to other Italian regions (amoxicillin/amoxicillin clavulanic acid ratio of 0.2, compared to the national average of 0.3), particularly in central and northern Italy (ratio 0.5).20,21 A more rational use of amoxicillin-clavulanic acid for respiratory infections (pharyngotonsillitis, otitis and pneumonia) could lead to a decrease in resistance rates of Enterobacterales, as already reported for Streptococcus pyogenes to macrolides.22–24 Notably, isolated pathogens in children with a history of hospitalization in the previous year had a greater resistance to amoxicillin-clavulanic acid, cephalosporins and fluoroquinolones compared to non-hospitalized children (0.002, 0.009 and 0.005, respectively). Several studies showed a relationship between recent hospitalizations and the selection of multidrug resistant (MDR) microorganisms.25 Recent hospitalizations (1–3 months beforehand) were reported to be independent risk factors for the development of UTIs caused by strains producing extended-spectrum beta-lactamase.26–28 In a French study published in 2016, an association between hospitalization in the previous 6 months and selection of strains of E. coli ST131, a group of MDR clones resistant to cephalosporins and fluoroquinolones, was reported.29 An evaluation of antibiotic resistance profiles was also performed in relation to the presence of risk factors (hospitalization in the previous 12 months or previous antibiotic prescriptions by the general pediatrician in the 6 months beforehand). In children without risk factors, resistance rates were significantly higher for aminoglycosides, cephalosporins and quinolones. On the other hand, no statistically significant differences were reported for amoxicillin-clavulanic acid. A recent antibiotic prescription therefore was not associated with an increased risk of resistance rates. This finding is in contrast to what emerged from previous published studies, in which a correlation between recent exposure to antibiotics and an increase in resistance rates of uropathogens was reported.9,26,30 Our study presents several limitations. Only antibiotics prescribed by general pediatricians were evaluated, whereas prescriptions in hospital settings and self-administered drugs by parents were not included in the analysis. Data regarding the real prescribed antibiotic consumption was unknown. In addition, only urine culture results were available without clinical correlation (ie urine analysis, symptoms), without information regarding sample collection (and possible contaminations) and regarding bacterial load. A crude analysis of positive urine cultures and antibiotic resistance patterns was carried out without clinical correlations. Further studies on this topic are needed to evaluate the correlation between recent exposure to antibiotics and antibiotic resistance patterns in the pediatric population. However, in the light of rational use of antibiotics, the use of broad-spectrum antibiotics should be avoided if not indicated by clinical presentation and local epidemiology.

Conclusion

A high rate of resistance to amoxicillin-clavulanic acid in microorganisms isolated from urine cultures in children, especially in the first year of life and with a history of hospitalization in the previous year emerged from our study. On the contrary, cephalosporins showed an acceptable susceptibility profile. This data is fundamental for the choice of an empirical therapy of UTIs, especially in critically ill patients and infants. An accurate knowledge of local epidemiology should be the basis for empirical therapy choices. A more judicious use of antibiotics, especially regarding the use of broad-spectrum molecules in infection typically caused by sensitive pathogens, is pivotal in order to reduce the spread of MDR microorganisms.
  26 in total

Review 1.  Origins and evolution of antibiotic resistance.

Authors:  Julian Davies; Dorothy Davies
Journal:  Microbiol Mol Biol Rev       Date:  2010-09       Impact factor: 11.056

2.  Acute kidney injury in non-critically ill children treated with aminoglycoside antibiotics in a tertiary healthcare centre: a retrospective cohort study.

Authors:  Michael Zappitelli; Brady S Moffett; Ayaz Hyder; Stuart L Goldstein
Journal:  Nephrol Dial Transplant       Date:  2010-06-29       Impact factor: 5.992

3.  Changes in antimicrobial resistance and demographics of UTIs in pediatric patients in a single institution over a 6-year period.

Authors:  B Erol; M Culpan; H Caskurlu; U Sari; Y Cag; H Vahaboglu; S H Özumut; M I Karaman; T Caskurlu
Journal:  J Pediatr Urol       Date:  2018-01-09       Impact factor: 1.830

4.  Urinary tract infection caused by extended-spectrum β-lactamase-producing bacteria: Risk factors and antibiotic resistance.

Authors:  Jumana H Albaramki; Tariq Abdelghani; Alaa Dalaeen; Fareed Khdair Ahmad; Abeer Alassaf; Rasha Odeh; Kamal Akl
Journal:  Pediatr Int       Date:  2019-11-13       Impact factor: 1.524

5.  Rise of community-onset urinary tract infection caused by extended-spectrum β-lactamase-producing Escherichia coli in children.

Authors:  Nai-Chia Fan; Hsin-Hang Chen; Chyi-Liang Chen; Liang-Shiou Ou; Tzou-Yien Lin; Ming-Han Tsai; Cheng-Hsun Chiu
Journal:  J Microbiol Immunol Infect       Date:  2013-07-06       Impact factor: 4.399

6.  Late-onset neonatal infections: incidences and pathogens in the era of antenatal antibiotics.

Authors:  Capucine Didier; Marie-Pierre Streicher; Didier Chognot; Raphaèle Campagni; Albert Schnebelen; Jean Messer; Lionel Donato; Bruno Langer; Nicolas Meyer; Dominique Astruc; Pierre Kuhn
Journal:  Eur J Pediatr       Date:  2011-12-02       Impact factor: 3.183

7.  Resistance to oral antibiotics in 4569 Gram-negative rods isolated from urinary tract infection in children.

Authors:  Anna Calzi; Sara Grignolo; Ilaria Caviglia; Maria Grazia Calevo; Giuseppe Losurdo; Giorgio Piaggio; Roberto Bandettini; Elio Castagnola
Journal:  Eur J Pediatr       Date:  2016-08-24       Impact factor: 3.183

Review 8.  Aminoglycoside-induced nephrotoxicity in children.

Authors:  Stephen J McWilliam; Daniel J Antoine; Rosalind L Smyth; Munir Pirmohamed
Journal:  Pediatr Nephrol       Date:  2016-11-15       Impact factor: 3.714

Review 9.  Updated Italian recommendations for the diagnosis, treatment and follow-up of the first febrile urinary tract infection in young children.

Authors:  Anita Ammenti; Irene Alberici; Milena Brugnara; Roberto Chimenz; Stefano Guarino; Angela La Manna; Claudio La Scola; Silvio Maringhini; Giuseppina Marra; Marco Materassi; William Morello; Giangiacomo Nicolini; Marco Pennesi; Lorena Pisanello; Fabrizio Pugliese; Floriana Scozzola; Felice Sica; Antonella Toffolo; Giovanni Montini
Journal:  Acta Paediatr       Date:  2019-10-06       Impact factor: 2.299

10.  Comparison of risk factors for, and prevalence of, antibiotic resistance in contaminating and pathogenic urinary Escherichia coli in children in primary care: prospective cohort study.

Authors:  Ashley Bryce; Céire Costelloe; Mandy Wootton; Christopher C Butler; Alastair D Hay
Journal:  J Antimicrob Chemother       Date:  2018-05-01       Impact factor: 5.790

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1.  Epidemiology of Antibiotic Resistant Pathogens in Pediatric Urinary Tract Infections as a Tool to Develop a Prediction Model for Early Detection of Drug-Specific Resistance.

Authors:  Francesca Bagnasco; Giorgio Piaggio; Alessio Mesini; Marcello Mariani; Chiara Russo; Carolina Saffioti; Giuseppe Losurdo; Candida Palmero; Elio Castagnola
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