Prevalence and antibiotic susceptibility pattern of pathogens in children with urinary tract infection in a tertiary care hospital

Authors

  • Madhu G. N. Department of Pediatrics, Department of Paediatrics, KIMS, Bengaluru, Karnataka, India
  • Anjum Aara C. A. Department of Pediatrics, Department of Paediatrics, KIMS, Bengaluru, Karnataka, India
  • Shajna Mahamud Department of Pediatrics, Department of Paediatrics, KIMS, Bengaluru, Karnataka, India

DOI:

https://doi.org/10.18203/2349-3291.ijcp20202607

Keywords:

Antibiotic susceptibility, Urinary tract infections, Uropathogens

Abstract

Background: The changing pattern of antimicrobial susceptibility of bacterial pathogens causing acute UTI is a growing problem. Hence, the knowledge of the local pattern of urinary pathogens and their susceptibility to various antimicrobials is of atmost importance for selection of the appropriate empiric therapy for children with acute UTI.

Methods: This retrospective cross-sectional study was conducted in 208 children of 1-18 years age group with suspected UTI infection who were admitted in KIMS hospital, Bangalore from January to December 2018. The data of all samples were collected from medical record.

Results: Overall 208 children between 1-18 years with suspected UTI were screened. Out of which 48 were culture positive, with a prevalence of 23%. Culture positive UTI was predominantly found in males in 1-5 years age group as against female predominance in 6-18 years age group. E. coli (45.83%) was the commonest organism isolated in our study, followed by Enterococcus (31.25%), Klebsiella (16.67%), Proteus (4.17%) and Acinetobacter (4.17%).  Antibiotics with highest sensitivity to E-coli are Amikacin (91%) and Gentamicin (77%). Klebsiella is most sensitive to Gentamicin (87.5%) and piperacillin (75%). Enterococcus has highest sensitivity to Vancomycin (67%) and Linezolid (60%).

Conclusions: It requires regular monitoring to determine the current status of resistance against antimicrobial agents.  The use of antimicrobials must be restricted in order to decline the resistance and we suggest that empirical antibiotic selection should be based on the knowledge of local pattern of bacterial organisms and their susceptibility to various antimicrobials rather than on universal guidelines.

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Published

2020-06-24

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Original Research Articles