Background: Urinary tract infections (UTIs) are among the most common bacterial infections in children, resulting in significant morbidity if left untreated. Understanding the epidemiology, clinical features, causative organisms, and their antibiotic susceptibility patterns is crucial for effective management.
Objectives: To evaluate the demographic profile, clinical presentation, microbiological spectrum, and antimicrobial susceptibility patterns in pediatric UTIs at SDM Hospital, Dharwad.
Methods: A prospective observational study was conducted from August 2022 to August 2023. Children aged 1 month to 14 years with urine cultures yielding a single pathogen were included. Clinical features, risk factors, and ultrasonography findings were recorded. Urine samples were processed on CLED agar, and isolates were identified using standard microbiological techniques. Antimicrobial susceptibility was tested by the Modified Kirby–Bauer method, following CLSI guidelines.
Results: Among 102 children, 61.8% were male and 55.9% were aged 1–5 years. Fever (59.8%), dysuria (52.9%), and vomiting (42.1%) were common presentations. Upper UTIs accounted for 37.3% of cases and lower UTIs 62.7%. E. coli (64.7%) was the predominant pathogen, followed by Klebsiella pneumoniae (15.7%) and Pseudomonas aeruginosa (9.8%). High resistance was observed to ampicillin, cephalosporins, and cotrimoxazole, while nitrofurantoin, aminoglycosides, and meropenem showed better sensitivity. Gram-positive isolates (Enterococcus spp., CONS, MRSA) exhibited variable resistance, with linezolid and vancomycin remaining effective. Fungal UTIs (Candida tropicalis) were fully sensitive to all antifungals tested.
Conclusion: Pediatric UTIs in this cohort were largely caused by E. coli, with a significant proportion showing multidrug resistance. Culture-guided therapy is essential, and early diagnosis, identification of risk factors, and antimicrobial stewardship are critical to prevent treatment failure and resistance development
Urinary tract infection (UTI) is one of the most common bacterial infections encountered in the pediatric population and represents a significant cause of morbidity, especially in infants and young children. It is estimated that approximately 2–8% of children experience at least one episode of UTI during childhood, with higher prevalence in females after infancy and in males during the neonatal period due to congenital urinary tract anomalies [1,2]. Pediatric UTIs are of particular concern because of their potential to cause renal parenchymal damage, leading to long-term complications such as hypertension, proteinuria, and chronic kidney disease if not diagnosed and treated promptly [3].
The clinical presentation of UTI in children is often nonspecific and varies with age. While older children may present with classical symptoms such as dysuria, urinary frequency, urgency, and suprapubic pain, infants and young children frequently exhibit nonspecific manifestations including fever, vomiting, irritability, poor feeding, and failure to thrive [4]. This variability in presentation often leads to delayed diagnosis, increasing the risk of complications, particularly in cases of upper urinary tract infection (pyelonephritis) [5].
The etiology of pediatric UTIs is predominantly bacterial, with Gram-negative organisms accounting for the majority of infections. Escherichia coli remains the most common causative pathogen worldwide, responsible for 60–80% of cases, followed by Klebsiella pneumoniae, Proteus species, Enterococcus species, and non-fermenting Gram-negative bacilli [6,7]. In recent years, there has been a growing concern regarding the emergence of multidrug-resistant organisms, including extended-spectrum β-lactamase (ESBL)–producing and carbapenem-resistant Enterobacteriaceae (CRE), which significantly limit therapeutic options [8].
Antimicrobial resistance (AMR) among uropathogens has become a major global public health challenge, particularly in developing countries where empirical antibiotic therapy is commonly practiced [9]. Inappropriate antibiotic use, lack of antimicrobial stewardship, and easy over-the-counter availability of antibiotics have contributed to rising resistance rates, leading to increased treatment failure, prolonged hospital stays, and higher healthcare costs [10]. Surveillance of local antimicrobial susceptibility patterns is therefore essential to guide empirical therapy and optimize patient outcomes.
Risk factors such as bowel bladder dysfunction, constipation, recurrent diarrhea, congenital anomalies of the urinary tract, and recurrent UTIs play a crucial role in the pathogenesis and recurrence of pediatric UTIs [11,12]. Imaging modalities like ultrasonography help identify structural abnormalities and complications, aiding in risk stratification and long-term management [13].
Given the changing epidemiology of pediatric UTIs and the alarming rise in antimicrobial resistance, there is a pressing need for institution-based studies to evaluate the clinical profile, microbiological spectrum, and antibiotic susceptibility patterns of uropathogens. Such data are vital for formulating evidence-based empirical treatment guidelines and strengthening antimicrobial stewardship practices. The present study was therefore undertaken at a tertiary care teaching hospital in South India to assess the epidemiology, clinical features, causative organisms, and their antimicrobial susceptibility patterns in children with urinary tract infection.
MATERIALS AND METHODS
Study Design
This was a prospective observational study conducted to evaluate the microbiological profile and antimicrobial susceptibility patterns in pediatric urinary tract infections.
Study Setting
The study was carried out at SDM Hospital, Dharwad, a tertiary care teaching hospital catering to both outpatient and inpatient pediatric populations.
Study Period
The study was conducted over a period of one year, from August 2022 to August 2023.
Study Participants
Children aged 1 month to 14 years attending the outpatient department (OPD) or admitted to SDM Hospital, Dharwad, and suspected of having a urinary tract infection were screened for inclusion.
Inclusion Criteria
Exclusion Criteria
Sampling
Sampling Population
A total of 102 children who met the inclusion criteria were enrolled during the study period.
Sample Size Calculation
Sample size was calculated using the formula:
Where:
The calculated sample size was 82. However, 102 eligible cases were included during the study period.
Sampling Technique
A convenience sampling technique was employed, enrolling all eligible participants who fulfilled the inclusion criteria during the study period.
Ethical Considerations
The study was approved by the Institutional Ethics Committee.
Written informed consent was obtained from parents or legal guardians prior to enrollment.
Study Procedure and Methodology
Collection and Processing of Urine Samples
Urine specimens were collected using appropriate methods based on age and clinical condition, including:
Samples were processed using the semi-quantitative culture technique, employing a calibrated loop to inoculate urine onto Cystine Lactose Electrolyte Deficient (CLED) agar.
The inoculated plates were incubated at 37°C for 24 hours under aerobic conditions.
Identification of Isolates
Bacterial isolates were identified using standard microbiological techniques, including:
Antimicrobial Susceptibility Testing
Antimicrobial susceptibility testing was performed using the Modified Kirby–Bauer disc diffusion method on Mueller–Hinton agar, following Clinical and Laboratory Standards Institute (CLSI) guidelines.
Interpretation of results was done according to CLSI zone diameter interpretative criteria.
Diagnosis and Follow-up
Diagnosis of urinary tract infection was based on significant colony count on urine culture. Patients were treated according to culture and sensitivity results and subsequently evaluated using appropriate imaging guidelines for further assessment and follow-up.
Data Collection
Data were collected prospectively using a pre-designed proforma after obtaining informed consent. Demographic details, clinical features, laboratory findings, culture results, and antimicrobial susceptibility patterns were recorded.
Definitions
Statistical Analysis
Data were entered into Microsoft Excel 2019 and analysed using IBM SPSS version 21.
RESULTS AND OBSERVATIONS;
Table 1: Demographic Distribution of Study Participants (Age and Gender) (n = 102)
|
Variable |
Category |
Frequency |
Percentage |
|
Age Group |
< 1 year |
22 |
21.6 |
|
1–5 years |
57 |
55.9 |
|
|
> 5 years |
23 |
22.5 |
|
|
Gender |
Male |
63 |
61.8 |
|
Female |
39 |
38.2 |
|
|
Total |
102 |
100.0 |
Table 2: Various and multiple clinical features among study participants
|
Clinical features |
Frequency |
Percent |
|
Fever |
61 |
59.8 |
|
Vomiting |
43 |
42.1 |
|
Dysuria |
54 |
52.9 |
|
Urgency |
20 |
19.6 |
|
Frequency |
23 |
22.5 |
|
Irritability |
40 |
39.2 |
|
Flank /back pain |
23 |
22.5 |
|
Suprapubic pain |
31 |
30.39 |
|
Poor feeding |
37 |
36.3 |
|
Signs of dehydration |
22 |
21.5 |
Fig 1: Pie chart showing Upper and lower UTI distribution
Table 3: Distribution of Upper and Lower Urinary Tract Infections Across Different Age Groups and Gender (n = 102)
|
Type of UTI |
Gender |
< 1 year n (%) |
1–5 years n (%) |
> 5 years n (%) |
Total n (%) |
|
Upper UTI (n=38) |
Male |
11 (42.3) |
14 (53.8) |
1 (3.8) |
26 (68.4) |
|
Female |
5 (41.6) |
7 (58.3) |
0 (0) |
12 (31.6) |
|
|
Lower UTI (n=64) |
Male |
4 (10.8) |
22 (59.5) |
11 (29.7) |
37 (57.8) |
|
Female |
2 (7.4) |
14 (51.8) |
11 (40.7) |
27 (42.2) |
Table 4: Distribution of Risk Factors Among Study Participants Across Different Age Groups (n = 102)
|
Risk Factor |
< 1 year n (%) |
1–5 years n (%) |
> 5 years n (%) |
Total n (%) |
p-value |
|
Diarrhoea preceding week |
15 (68.2) |
18 (31.6) |
0 (0.0) |
33 (32.4) |
0.001 |
|
Constipation |
2 (9.1) |
21 (36.8) |
17 (73.9) |
40 (39.2) |
0.001 |
|
Posterior urethral valve (PUV) |
3 (13.6) |
1 (1.8) |
0 (0.0) |
4 (3.9) |
0.028 |
|
Bowel bladder dysfunction (BBD) |
0 (0.0) |
18 (66.6) |
9 (33.3) |
27 (26.4) |
0.098 |
|
Recurrent UTI |
9 (40.9) |
11 (19.3) |
5 (21.7) |
25 (24.5) |
0.127 |
Table 5: Ultrasonography (USG) Findings and Clinical Classification of UTI Among Study Participants (n = 102)
|
Parameter |
Category |
Frequency |
Percentage |
|
USG Findings |
Normal |
53 |
52.0 |
|
Abnormal |
33 |
32.4 |
|
|
Not done |
16 |
15.7 |
|
|
Abnormal USG Findings(n = 33) |
Cystitis |
17 |
51.5 |
|
Hydroureteronephrosis |
11 |
33.3 |
|
|
Prominent renal pelvis without hydronephrosis |
5 |
15.1 |
|
|
Type of UTI |
Complicated UTI |
— |
— |
|
Uncomplicated UTI |
— |
— |
Percentages for abnormal USG findings are calculated out of total abnormal scans (n = 33).
Fig 2: Bar graph showing frequency of various organisms isolated from patients (n = 102)
Chi square = 36.743, P value = 0.185 (NS)
Fig 3 : Multiple bar graph showing frequency of various organism isolated in different age group
Table: 6 Antibiotic Resistance and Sensitivity Patterns of Isolated Organisms (%)
|
Organism |
AK |
AMP |
FEP |
FOX |
CRO |
CIP |
SXT |
NOR |
AMC |
CAZ |
CTX |
CXM |
GEN |
NIT |
PTZ |
CFM |
NA |
CF |
CST |
MEM |
CFS |
TGC |
|
E. coli |
8.9 |
95.6 |
86.7 |
68.9 |
95.6 |
82.2 |
73.3 |
87.7 |
64.5 |
95.6 |
97.8 |
97.8 |
40.0 |
42.2 |
57.8 |
97.8 |
97.8 |
97.8 |
66.7 |
57.8 |
64.4 |
53.4 |
|
E. coli (CRE) |
92.3 |
100 |
100 |
100 |
100 |
100 |
92.3 |
100 |
100 |
100 |
100 |
100 |
92.3 |
53.8 |
100 |
100 |
100 |
100 |
53.8 |
100 |
92.3 |
38.5 |
|
K. pneumoniae |
38.9 |
94.4 |
83.3 |
66.7 |
66.7 |
66.7 |
44.4 |
50.0 |
66.7 |
72.2 |
100 |
94.4 |
33.3 |
55.5 |
55.6 |
100 |
55.6 |
100 |
66.7 |
72.2 |
62.3 |
55.6 |
|
Enterococcus spp. |
— |
— |
— |
— |
— |
— |
— |
— |
— |
— |
— |
— |
— |
— |
— |
— |
— |
— |
— |
— |
— |
— |
|
Pseudomonas aeruginosa |
0 |
100 |
0 |
100 |
100 |
33.3 |
100 |
100 |
100 |
0 |
100 |
100 |
33.3 |
100 |
66.7 |
100 |
100 |
100 |
33.3 |
0 |
0 |
100 |
|
Organism |
AK |
AMP |
FEP |
FOX |
CRO |
CIP |
SXT |
NOR |
AMC |
CAZ |
CTX |
CXM |
GEN |
NIT |
PTZ |
CFM |
NA |
CF |
CST |
MEM |
CFS |
TGC |
|
E. coli |
91.1 |
4.4 |
13.3 |
31.1 |
4.4 |
17.8 |
26.7 |
13.3 |
35.5 |
4.4 |
2.2 |
2.2 |
60.0 |
57.8 |
42.2 |
2.2 |
2.2 |
2.2 |
33.3 |
42.2 |
35.6 |
46.6 |
|
E. coli (CRE) |
7.7 |
0 |
0 |
0 |
0 |
0 |
7.7 |
0 |
0 |
0 |
0 |
0 |
7.7 |
46.2 |
0 |
0 |
0 |
0 |
46.2 |
0 |
7.7 |
61.5 |
|
K. pneumoniae |
61.1 |
5.6 |
16.7 |
33.3 |
33.3 |
33.3 |
55.6 |
50.0 |
33.3 |
27.8 |
0 |
5.6 |
66.7 |
44.5 |
44.4 |
0 |
44.4 |
0 |
33.3 |
27.8 |
37.7 |
44.4 |
|
Non-fermenting GNB |
33.3 |
0 |
33.3 |
0 |
66.7 |
66.7 |
66.7 |
0 |
0 |
33.3 |
0 |
0 |
66.7 |
0 |
0 |
0 |
0 |
0 |
33.3 |
33.3 |
33.3 |
0 |
|
Pseudomonas aeruginosa |
100 |
0 |
100 |
0 |
0 |
66.7 |
0 |
0 |
0 |
100 |
0 |
0 |
66.7 |
0 |
33.3 |
0 |
0 |
0 |
66.7 |
100 |
100 |
0 |
Table: 7 Antibiotic Resistance and Sensitivity Patterns of Gram-Positive Isolates (%)
|
Organism |
ERY |
GEN |
LZD |
PEN |
TGC |
TEC |
CIP |
NIT |
LEV |
TET |
VAN |
DAP |
CLI |
RIF |
SXT |
OXA |
FOX |
|
Enterococcus faecalis |
66.7 |
66.7 |
0.0 |
33.3 |
0.0 |
0.0 |
100.0 |
0.0 |
100.0 |
100.0 |
0.0 |
0.0 |
— |
— |
— |
— |
— |
|
Enterococcus species |
75.0 |
75.0 |
0.0 |
25.0 |
0.0 |
0.0 |
100.0 |
0.0 |
100.0 |
100.0 |
75.0 |
100.0 |
— |
— |
— |
— |
— |
|
CONS |
100.0 |
100.0 |
100.0 |
100.0 |
0.0 |
100.0 |
100.0 |
0.0 |
100.0 |
100.0 |
100.0 |
— |
100.0 |
100.0 |
100.0 |
100.0 |
0.0 |
|
Staphylococcus aureus (MRSA) |
100.0 |
100.0 |
0.0 |
100.0 |
0.0 |
0.0 |
0.0 |
0.0 |
100.0 |
100.0 |
0.0 |
— |
100.0 |
0.0 |
100.0 |
100.0 |
0.0 |
|
Streptococcus species |
100.0 |
100.0 |
0.0 |
100.0 |
0.0 |
0.0 |
100.0 |
100.0 |
100.0 |
100.0 |
0.0 |
— |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
|
Organism |
ERY |
GEN |
LZD |
PEN |
TGC |
TEC |
CIP |
NIT |
LEV |
TET |
VAN |
DAP |
|
Enterococcus faecalis |
33.3 |
33.3 |
100.0 |
66.7 |
100.0 |
100.0 |
0.0 |
100.0 |
0.0 |
0.0 |
100.0 |
100.0 |
|
Enterococcus species |
25.0 |
25.0 |
100.0 |
75.0 |
100.0 |
100.0 |
0.0 |
100.0 |
0.0 |
0.0 |
25.0 |
0.0 |
Table:8 Antibiotic Sensitivity Patterns of Gram-Positive Isolates (%)
|
Organism |
Benzyl-Penicillin |
Erythromycin |
Linezolid |
Teicoplanin |
Tigecycline |
Gentamicin |
Ciprofloxacin |
Levofloxacin |
Nitrofurantoin |
Tetracycline |
|
CONS |
0.0 |
0.0 |
0.0 |
0.0 |
100.0 |
0.0 |
0.0 |
0.0 |
100.0 |
0.0 |
|
Staphylococcus aureus (MRSA) |
0.0 |
0.0 |
100.0 |
100.0 |
100.0 |
0.0 |
100.0 |
0.0 |
100.0 |
0.0 |
|
Streptococcus species |
0.0 |
0.0 |
100.0 |
100.0 |
100.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
|
Organism |
Vancomycin |
Clindamycin |
Rifampicin |
Cotrimoxazole |
Oxacillin |
Cefoxitin |
|
CONS |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
100.0 |
|
Staphylococcus aureus (MRSA) |
100.0 |
0.0 |
100.0 |
0.0 |
0.0 |
100.0 |
|
Streptococcus species |
100.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
Table: 9 Antifungal Susceptibility Pattern in Fungal UTI (%)
|
Organism |
Amphotericin B |
Fluconazole |
Voriconazole |
Caspofungin |
Flucytosine |
Micafungin |
|
Candida tropicalis |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
|
Organism |
Amphotericin B |
Fluconazole |
Voriconazole |
Caspofungin |
Flucytosine |
Micafungin |
|
Candida tropicalis |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
DISCUSSION
Urinary tract infection remains a significant cause of morbidity in the pediatric population, and the present prospective observational study provides valuable insights into the epidemiology, clinical presentation, microbiological spectrum, and antimicrobial susceptibility patterns of pediatric UTIs in a tertiary care hospital in South India.
Demographic Profile
In the present study, the majority of cases were observed in children aged 1–5 years (55.9%), followed by those above 5 years (22.5%) and infants below one year (21.6%). Similar age distributions have been reported in previous Indian and international studies, where toddlers and preschool children constituted the most affected age group due to increased exposure, immature immunity, and toilet training–related voiding dysfunctions [14,15]. A male predominance (61.8%) was observed in our study, which contrasts with the female preponderance reported in older children but aligns with findings in infants and young boys where congenital urinary anomalies and uncircumcised status increase susceptibility [16].
Clinical Presentation
Fever was the most common presenting symptom (59.8%), followed by dysuria (52.9%), vomiting (42.1%), irritability (39.2%), and poor feeding (36.3%). These findings are consistent with earlier studies emphasizing that fever remains the most reliable indicator of UTI in young children, while urinary symptoms are more frequently observed in older children [17,18]. The presence of non-specific symptoms such as irritability, vomiting, and poor feeding highlights the diagnostic challenge of pediatric UTIs and reinforces the importance of urine culture in febrile children without an obvious source of infection.
Upper and Lower UTI Distribution
Lower UTIs accounted for 62.7% of cases, while upper UTIs constituted 37.2%, indicating a predominance of cystitis over pyelonephritis. Similar distributions have been reported by Shaikh et al. and Sood et al., who noted that lower UTIs are more common but upper UTIs carry a higher risk of renal scarring and long-term complications [19,20]. Male predominance was more evident in upper UTIs in the younger age group, possibly due to underlying anatomical abnormalities.
Risk Factors
Constipation (39.2%) and bowel bladder dysfunction (26.4%) emerged as significant risk factors, particularly in children above 1 year of age. The strong association between constipation, bladder dysfunction, and UTIs has been well documented, with fecal retention leading to bladder compression, incomplete voiding, and urinary stasis [21]. Diarrhea preceding UTI was significantly associated with infants (<1 year), which may be attributed to perineal contamination and poor hygiene practices [22]. Posterior urethral valve was identified exclusively in male infants, underscoring the importance of evaluating congenital anomalies in recurrent or severe UTIs.
Ultrasonography Findings
Abnormal ultrasonography findings were observed in 32.4% of cases, with cystitis being the most common abnormality followed by hydroureteronephrosis. Comparable rates have been reported in similar hospital-based studies, emphasizing the role of ultrasonography as a non-invasive screening tool for detecting structural abnormalities and guiding further evaluation [23].
Microbiological Profile
Escherichia coli was the predominant uropathogen (45.1%), followed by Klebsiella pneumoniae (17.6%) and carbapenem-resistant E. coli (11.8%). These findings are consistent with global and Indian literature, where E. coli remains the leading cause of pediatric UTIs due to its virulence factors, including adhesins and biofilm formation [24,25]. The notable proportion of CRE isolates in our study is concerning and reflects the growing burden of antimicrobial resistance in tertiary care settings.
Gram-positive organisms accounted for a smaller proportion of infections, with Enterococcus species being the most common among them. Similar trends have been observed in recent studies, suggesting a gradual rise in Gram-positive uropathogens, particularly in hospitalized and catheterized patients [26].
Antimicrobial Resistance Patterns
High resistance rates were observed among Gram-negative isolates to commonly used antibiotics such as ampicillin, ceftriaxone, cefotaxime, ciprofloxacin, and cotrimoxazole. E. coli showed resistance exceeding 80% to third-generation cephalosporins and fluoroquinolones, which aligns with reports from other Indian centers [27,28]. The high resistance to oral antibiotics traditionally used for empirical therapy raises serious concerns regarding treatment failures and highlights the need for periodic surveillance.
Carbapenem resistance among E. coli (CRE) isolates was alarmingly high, limiting therapeutic options. Similar rising trends of carbapenem resistance have been documented across India, attributed to indiscriminate antibiotic use and lack of robust antimicrobial stewardship programs [29].
Antimicrobial Sensitivity Patterns
Amikacin, gentamicin, nitrofurantoin, piperacillin–tazobactam, and carbapenems demonstrated better sensitivity profiles against most Gram-negative isolates. Nitrofurantoin retained good activity against E. coli, supporting its role as a first-line agent for uncomplicated lower UTIs [30]. Gram-positive isolates, particularly Enterococcus species, showed excellent sensitivity to linezolid, vancomycin, teicoplanin, and daptomycin, consistent with earlier studies [31].
Fungal UTI
All Candida tropicalis isolates demonstrated 100% sensitivity to antifungal agents tested, including amphotericin B, azoles, and echinocandins. This finding is reassuring and comparable with previous pediatric studies, although continued vigilance is necessary due to emerging antifungal resistance reported in other regions [32].
Clinical Implications
The findings of this study emphasize the importance of culture-guided therapy in pediatric UTIs, given the high levels of antimicrobial resistance. Empirical treatment protocols should be revised periodically based on local antibiograms to prevent misuse of broad-spectrum antibiotics and curb the rise of multidrug-resistant organisms.
CONCLUSION
This study demonstrates that pediatric urinary tract infections are predominantly lower UTIs, with Escherichia coli as the most common causative organism. A substantial proportion of isolates showed resistance to commonly used empirical antibiotics, indicating a growing burden of antimicrobial resistance. Better sensitivity to nitrofurantoin, aminoglycosides, and higher-end antibiotics highlights the importance of culture-guided therapy. Early diagnosis, identification of underlying risk factors, and adherence to antimicrobial stewardship principles are essential to improve clinical outcomes and prevent the emergence of resistant uropathogens in children.
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