Volume 3, Issue 7, 2020, Page 401 - 413
Author(s) :
Amir Emami 1 , Seyed Reza Khedmati *2
1 Asistant Professor of Microbiology, Shiraz University of Medical Sciences, Iran.
2 Master of Microbiology, Islamic Azad University of shiraz ,Iran.

Abstract :
Background and aim: One of the most common infections, especially nosocomial infections in humans, is urinary tract infection (UTI). UTI-causing agents include bacteria, fungi and viruses. Bacteria, especially Escherichia coli with about 85% is the most common cause of this type of infection. Other bacteria include Klebsiella, Enterococcus, Pseudomonas, Staphylococcus, Proteus, Neisseria, Mycoplasma and Chlamydia. The aim of this study is evaluation the prevalence of uncommon bacteria in the incidence of UTI using phenotypic and molecular (PCR) methods detection. Materials and methods: In this study, during six months, 235 urine samples were collected from patients referred to Iran Hospital who had UTI symptoms, and simultaneously with microbial culture in the laboratory, DNA extraction was performed using extraction kits and PCR test with specific primers to detect these bacteria in each Samples were taken. Results: In the samples, 137 samples (58.29%) contained uncommon UTI bacteria. The prevalence of uncommon bacteria was as follows: Pseudomonas aeruginosa 74 samples (31.4%), Enterococcus faecalis 61 samples (25.9%), Klebsiella pneumoniae 32 samples (13.6%), Staphylococcus saprophyticus 2 Sample (10.2%), Proteus Myrabilis 13 specimens (5.5%), Neisseria gonorrhoea 7 specimens (2.9%), Chlamydia trachomatis and Mycoplasma 5 specimens each (2.1%). Only 19.7% of samples containing uncommon bacteria were detected by routine laboratory methods (phenotypic diagnosis). Conclusion: The prevalence of these bacteria varies according to the geographical location, level of health, health control and level of culture of each country. Delay in accurate identification of these bacteria increases bacterial resistance to antibiotics prescribed by physicians.

Keywords :
Urinary tract infections, uncommon bacteria, molecular and phenotypical diagnosis.

Article View
PDF Download
Receive Date
01 Jul 2020
Revise Date
16 Sep 2020
Accept Date
14 Oct 2020