Prevalence of Bacteriological Study of Urinary Tract Infection in Ante-Natal Patients

Prevalence of Bacteriological Study of Urinary Tract Infection in Ante-Natal Patients

  • Ravi Kumar Tutor, Department of Microbiology, Vardhman Institute of Medical Sciences, Pawapuri, Nalanda, Bihar, India.
  • Amit Kumar Anand Assistant Professor, Department of Microbiology, Vardhman Institute of Medical Sciences, Pawapuri, Nalanda, Bihar, India.
Keywords: Antenatal Care, Significant Bacteriuria, Urine Culture

Abstract

Background: Urinary tract infection (UTIs) is an infection caused by the presence and growth of microorganisms anywhere in the urinary tract. UTI has been reported among 20% of the pregnant women and it is the most common cause of admission in obstetrical wards. Subjects and Methods: Mid-stream clean catch urine was collected from 150 antenatal patients carefully then transported to laboratory and culture and antibiotic susceptibility was performed. Results: A total of 52 antenatal patients showed significant bacteriuria while 98 showed no significant bacteriuria from 150 patients. Bacterial agents were isolated from 52 pregnant women and were identified as: Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Staphylococcus aureus and Enterobacter aerogenes. E. coli (46%) was the commonest bacterial pathogen isolated. Other bacterial pathogens incriminated in this study were S. aureus (20%), K. pneumoniae (22%), P. aeruginosa (8%), E. aerogenes (8%). Conclusion: UTI in antenatal patients can lead to significant complications viz. fetal growth retardation and even still birth or abortion. In our study, UTI was seen in 34.66% antenatal women and E. coli (46%) was most common pathogen. Early diagnosis and treatment in UTI during antenatal period can prevent serious complications and lead to healthy outcomes for both mother and baby.

Published
2019-01-20
How to Cite
Kumar, R., & Anand, A. (2019). Prevalence of Bacteriological Study of Urinary Tract Infection in Ante-Natal Patients. Asian Journal of Medical Research, 7(4), MB01-MB03. Retrieved from https://aijournals.com/index.php/ajmr/article/view/391