Distribution and drug resistance of pathogens causing urinary tract infection in patients with urinary calculi

Objective: This study set out to clarify the distribution and drug resistance of pathogens causing urinary tract infection (UTI) in patients with urinary calculi. Methods: Pathogens were isolated from urine samples of patients with urinary calculi also complicated with UTIs, during the period from 2015 to 2019, and the samples were cultured for drug sensitivity testing to study the drug resistance of pathogens. The results were analyzed by SPSS 22.0 software. Results: Gram-negative bacteria were the main pathogens found in patients with urinary calculi complicated with UTI (84.52%). Escherichia coli, Enterococcus faecalis and Monilia albicans were the most common Gram-negative bacteria (48.84%), Gram-positive bacteria (34.78%) and fungus (29.41%), respectively. The UTI rates were higher in female patients than in male patients, and were higher in patients >= 60 years old compared with those < 60 years old. Escherichia coli and Klebsiella pneumoniae had the highest resistance to ampicillin and the lowest resistance to imipenem. Enterococcus faecalis Enterococcus Faecium had the highest resistance to penicillin and ampicillin, but the lowest resistance to vancomycin and linezolid. Conclusion: The present study found that the pathogenic bacteria found in patients with urinary calculi complicated with UTI are mainly Gram-negative bacteria; and Escherichia coli is the main pathogenic bacteria causing the infection. Gender and age may be risk factors for urinary calculi complicated with UTI. Antibiotics should be selected reasonably according to the drug resistance pattern of pathogenic bacteria in clinical anti-infection management.

Automated summary

The study revealed that Gram-negative bacteria, particularly Escherichia coli, were the main pathogens causing UTI in patients with urinary calculi. Gender and age, specifically being female and aged ≥60, may be risk factors for UTI complicating urinary calculi. Rational selection of antibiotics based on pathogenic bacteria's drug resistance patterns is crucial in clinical anti-infection management.