ISOLATION AND IDENTIFICATION OF ESCHERICHIA COLI FROM PATIENTS WITH URINARY TRACT INFECTIONS IN DIYALA PROVINCE

Abstract

In addition to identifying pathological urinary tract infections and their connection to antibiotic resistance, this study attempts to isolate and diagnose E. coli bacteria. One of the most prevalent bacterial illnesses in the world is a urinary tract infection (UTI). The purpose of this study was to separate and identify Escherichia coli from patients in Iraq's Diyala area who had been diagnosed with UTIs. Under the guidance of a specialist physician, fifty clinical samples were taken from the urine of patients with UTIs from several hospitals in Diyala, including the Children's Central Teaching Hospital and Baqubah Hospital. Traditional techniques were used to identify the bacterial isolates, and molecular detection of the gene was used to validate the diagnosis. Eight were found for E. coli using polymerase chain reaction technique. The findings revealed that two (25%) isolates did not develop biofilms, while six (75%) isolates formed biofilms with various inclusions. E. Coli bacteria are multi-resistant to antibiotics, according to the results of the antibiotic susceptibility test. Antimicrobial susceptibility tests were conducted on Mueller-Hinton agar using the Kirby Bauer disk diffusion method15 in accordance with standard operating procedures. The antimicrobial substances examined were: Carbenicillin, 75% (6) isolates resistant to the antibiotic erythromycin, 100% (8) isolates Resistant to the antibiotic rifampin, 88% (7) Isolate resistant to the antibiotic ceftazidime, 75% (6) Isolate resistant to the antibiotic cefotaxime, 75% (6) Isolate resistant to the antibiotic novobiocin, 62.5% (5) isolate resistant to the antibiotic tetracycline, 88% (7) isolate resistant to the antibiotic ciprofloxacin, 100% (8) isolates resistant to the antibiotic gentamicin and two isolates (25%) resistant. Molecular detection was performed, and the results of the sequential analysis of the bacterial isolates with regard to the diagnostic gene 16SrRNA showed that they were 100% related to E. coli bacteria, as found in GenBank.