The Urinary System Infections caused by Extended-Spectrum-β-Lactamase-producing Escherichia coli and Klebsiella pneumoniae Strains

Taken, Kerem; Parlak, Mehmet; Güneş, Mustafa; Ergün, Müslüm; Eryılmaz, Recep; Demir, Murat Can; Geçit, İlhan

doi:10.5505/ejm.2016.87597

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…18 Studies on urine isolates of E. coli in Turkey have shown AMC resistance rates in ESBLpositive E. coli of 68.6 to 100%. 17,19 In our study, AMC resistance rates were 66.7 and 29.4% in ESBL-positive and ESBL-negative E. coli strains. Thus, AMC may no longer be a good option for the empirical treatment of UTIs, especially where there is a high prevalence of ESBL-positive E. coli.…”

Section: Discussionmentioning

confidence: 49%

“…A total of 150 E. coli strains isolated from blood (50) and urine (100) samples sent from various departments (i.e., pediatric [32], urology [19], emergency [12], oncology [10], infectious diseases [9], reanimation intensive care [9], nephrology [9], hematology [8], neurology [7], gynecology and obstetrics [6], general surgery [6], and other clinics [23]) of the hospital to the Microbiology Laboratory of the Selçuk University Faculty of Medicine Hospital were included in the study. Only one isolate per patient was included in the research.…”

Section: Methodsmentioning

confidence: 99%

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Investigation of Antibiotic Susceptibility and Virulence Genes in Escherichia coli Strains Isolated from Blood and Urine Samples

Hasanli

Dağı

Arslan

2022

J Pediatr Infect Dis

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Objective Extraintestinal Escherichia coli isolates are the most common gram-negative pathogens in humans and cause urinary tract infections, sepsis, neonatal meningitis, and others. The aim of this study was to investigate the rates of antibiotic resistance and virulence factors (kpsM II, neuc K1, hlyF, fyuA, afa/draBC, sat, chuA, fimH, tsh, yfcv, ibeA, traT, iucD, usp, iutA, cnf1, hlyA, papC, sfa/focDE, and ompT) of E. coli strains isolated from blood and urine samples. Methods A total of 150 E. coli strains isolated from blood and urine samples sent to the Microbiology Laboratory, Faculty of Medicine Hospital, Selcuk University were included in the study. The identification and antibiotic susceptibility tests were performed with the VITEK 2 automated system. Multiplex polymerase chain reaction was used to detect the virulence genes. Results Although the highest antibiotic resistance rate found was against ampicillin (73.3%), the lowest rates were against ertapenem and meropenem (0.7%). Extended-spectrum β-lactamase positivity was 38% in E. coli blood isolates and 29% in urine. The highest rates of virulence genes were detected in fimH gene (92%). iutA gene was 91.3%, traT 76%, fyuA 50%, chuA 54.7%, iucD 46.7%, ompT 32.7%, yfcv 31.3%, hlyF 28.7%, sat 22%, papC and sfa/focDE 20%, kpsM II 19.3%, neuc K1 14.7%, tsh 13.3%, cnf1 6.7%, afa/draBC 6%, ibeA 5.3%, usp 4.7%, and hlyA 3.3%. kpsM II, tsh, hlyA, papC, sfa/focDE, and ompT genes were higher in blood isolates. Conclusion High antibiotic resistance rates and virulence genes were detected in E. coli strains in Konya, Turkey. This is the first study in Turkey where both a large number and a variety of virulence factors were investigated and compared. Multicenter studies are needed to better understand E. coli virulence.

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Section: Discussionmentioning

confidence: 49%

Section: Methodsmentioning

confidence: 99%

Investigation of Antibiotic Susceptibility and Virulence Genes in Escherichia coli Strains Isolated from Blood and Urine Samples

Hasanli

Dağı

Arslan

2022

J Pediatr Infect Dis

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“…Therefore, new techniques are needed to understand preoperative (pre-op) impacted stone formation. [2][3][4] Studies have been reported to predict the success of ESWL and spontaneous stone passage by measuring the wall thickness of the ureter where the stone is shown by computed tomography. 5,6 In this study, we aimed to study the effect of the maximum wall thickness in the stone region, and the average wall thickness on the success of URS.…”

Section: Introductionmentioning

confidence: 99%

Average, and Maximum Ureteral Wall Thickness are Predictor Factor for Ureteroscopy Outcomes?

Demir

DÜNDAR

ERYILMAZ

et al. 2022

Online Türk Sağlık Bilimleri Dergisi

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Objective: The aim of our study is to investigate the effect of average and maximum ureteral wall thicknesses measured by computed tomography before the operation on ureteroscopy results.Materials and Methods: This prospective study was conducted with 103 patients who underwent ureteroscopy for ureteral stones between July and December 2021. The maximum ureteral wall thickness in the region of the ureteral stone and the average of the ureteral wall thicknesses measured from the 3-6-9-12 lines were calculated by non-contrast computed tomography. The operation time, residual stone, double j insertion status, and intraoperative complication status were examined according to the average ureteral wall thickness and maximum wall thickness.Results: Of the 103 patients included in the study, 77 were male, and 26 were female. The mean age of the patients was 43.83±15.11 years. The mean stone length was 10.76±3.84 mm. The average ureteral wall thickness was 3.81±1.24 mm, while the maximum ureteral wall thickness was 4.9±1.8 mm. It was found that as the maximum, and average ureteral wall thickness increased, the operation time, residual stone, double insertion rate, and post-ureteroscopic lesion scale grade increased (p<0.05).Conclusion: Maximum and average ureteral wall thicknesses are predictive factors for ureteroscopy results.

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The Urinary System Infections caused by Extended-Spectrum-β-Lactamase-producing Escherichia coli and Klebsiella pneumoniae Strains

Cited by 2 publications

References 11 publications

Investigation of Antibiotic Susceptibility and Virulence Genes in Escherichia coli Strains Isolated from Blood and Urine Samples

Investigation of Antibiotic Susceptibility and Virulence Genes in Escherichia coli Strains Isolated from Blood and Urine Samples

Average, and Maximum Ureteral Wall Thickness are Predictor Factor for Ureteroscopy Outcomes?

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