High antimicrobial resistance in urinary tract infections in male outpatients in routine laboratory data, Germany, 2015 to 2020

Salm, Jonas; Salm, Florian; Arendarski, Patricia; Kramer, Tobias Siegfried

doi:10.2807/1560-7917.es.2022.27.30.2101012

Cited by 10 publications

(11 citation statements)

References 27 publications

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“…Overall, resistance rates in our study for NIT, FOS and NF were 3.9%, 4.6% and 11.7%, respectively. Our data regarding the susceptibility to these antibiotics are largely consistent with previously published data (NIT [25,26], NF [26], FOS [27,28]) and suggest that the (in vitro) effectiveness has not decreased in recent years.…”

Section: Table 3csupporting

confidence: 91%

Antimicrobial resistance of clinical Enterobacterales isolates from urine samples, Germany, 2016 to 2021

Stoltidis-Claus,

Rosenberger,

Mandraka

et al. 2023

Eurosurveillance

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Introduction Empirical therapy for the treatment of urinary tract infections should be tailored to the current distribution and susceptibility of potential pathogens to ensure optimal treatment. Aim We aimed to provide an up-to-date overview of the epidemiology and susceptibility of Enterobacterales isolated from urine in Germany. Methods We retrospectively analysed antimicrobial susceptibility data from 201,152 urine specimens collected between January 2016 and June 2021 from in- and outpatients. Multiple logistic regression analysis was used to evaluate the association between year of investigation and antibiotic resistance, adjusted for age, sex and species subgroup. Subgroup analyses were performed for midstream urine samples obtained from (i) female outpatients aged 15 to 50 years, (ii) female outpatients older than 50 years and (iii) male outpatients. Results Resistance rates of less than 20% were observed for nitroxoline (3.9%), fosfomycin (4.6%), nitrofurantoin (11.7%), cefuroxime (13.5%) and ciprofloxacin (14.2%). Resistance to trimethoprim/sulfamethoxazole (SXT) (20.1%), amoxicillin-clavulanic acid (20.5%), trimethoprim (24.2%), pivmecillinam (29.9%) and ampicillin (53.7%) was considerably higher. In the subgroup of outpatient women aged 15–50 years, resistance rates were generally lower. Resistance rates of all antibiotics decreased from 2016 to 2021. Multiple logistic regression revealed the lowest adjusted odds ratio (ORadj) of 0.838 (95% confidence interval (CI): 0.819–0.858; p < 0.001) for pivmecillinam and the highest ORadj of 0.989 (95% CI: 0.972–1.007; p = 0.226) for nitrofurantoin. Conclusions Resistance has generally decreased over the past years, independent of sex, age and causative pathogen. Our data provide an important basis for empirical antibiotic recommendations in various settings and patient collectives.

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Section: Table 3csupporting

confidence: 91%

Antimicrobial resistance of clinical Enterobacterales isolates from urine samples, Germany, 2016 to 2021

Stoltidis-Claus,

Rosenberger,

Mandraka

et al. 2023

Eurosurveillance

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“…It has been reported that E. coli and E. faecalis are the most common pathogens causing UTIs. 51,52 Besides, S. aureus is a well-known pathogenic Gram-positive bacterium. When patients have kidney disease or indwelling catheters, the risk of S. aureusrelated UITs increases significantly.…”

Section: ■ Results and Discussionmentioning

confidence: 99%

“…coli and E. faecalis are the most common pathogens causing UTIs. , Besides, S. aureus is a well-known pathogenic Gram-positive bacterium.…”

Section: Resultsmentioning

confidence: 99%

Antimicrobial Agent Functional Gold Nanocluster-Mediated Multichannel Sensor Array for Bacteria Sensing

Xiao,

Cheng,

Zhu

et al. 2024

Langmuir

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Urinary tract infections (UTIs) have greatly affected human health in recent years. Accurate and rapid diagnosis of UTIs can enable a more effective treatment. Herein, we developed a multichannel sensor array for efficient identification of bacteria based on three antimicrobial agents (vancomycin, lysozyme, and bacitracin) functional gold nanoclusters (AuNCs). In this sensor, the fluorescence intensity of the three AuNCs was quenched to varying degrees by the bacterial species, providing a unique fingerprint for different bacteria. With this sensing platform, seven pathogenic bacteria, different concentrations of the same bacteria, and even bacterial mixtures were successfully differentiated. Furthermore, UTIs can be accurately identified with our sensors in ∼30 min with 100% classification accuracy. The proposed sensing systems offer a rapid, high-throughput, and reliable sensing platform for the diagnosis of UTIs.

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“… 22 In the current research, E. coli was discovered to be the most prevalent urinary pathogen in urine culture, which is also the result that researchers from other parts of the world have reached at various times. 19 Followed by E. faecalis, K. pneumoniae , and E. faecium . Similar results were found in the study by Li et al 1 E. faecalis was the second most common isolated pathogen in the urinary tract, followed by K. pneumoniae and E. faecium .…”

Section: Discussionmentioning

confidence: 99%

Patterns of Drug Resistance and Bacterial Pathogen Distribution in Patients with Urinary Tract Infections in the Jiaxing Region from 2020 to 2022

Niu,

Hou,

Yang

et al. 2023

IDR

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Background Urinary tract infections (UTIs) and the antibiotic resistance of pathogenic bacteria pose severe threats to public health in the current healthcare environment. Objective The purpose of this study was to assess the frequency distribution of bacterial pathogens causing UTIs as well as the characteristics of antibiotic susceptibility and resistance. Methods The retrospective study was conducted on 32,391 samples of midstream urine culture from January 1, 2020, to December 31, 2022, in Jiaxing. Bacteria were cultivated on blood agar and identified using MALDI-TOF, and their susceptibility to different antibiotics was assessed using the Kirby-Bauer disk diffusion method and drug sensitivity reaction cards. The SPSS 22 software was used for data analysis. Bivariate logistic regression was used to analyze the risk factors for multidrug resistance. Results The total number of positive growth samples was 5378 (16.6%), including 3206 females (59.6%) and 2172 males (40.4%). The four most common urinary pathogens were Escherichia coli (39.2%), Enterococcus faecalis (12.4%), Klebsiella pneumoniae (7.6%), and Enterococcus faecium (7.6%). As far as antibiotic resistance was concerned, Escherichia coli had a greater than 50% resistance rate to ampicillin (76.1%), ciprofloxacin (58.6%), and levofloxacin (51.2%). The multidrug resistance rate was high (41.8%). Low levels of resistance were seen to ertapenem (0.1%), imipenem (0.7%), meropenem (0.7%), piperacillin/tazobactam (0.7%), and nitrofurantoin (1.8%). Klebsiella pneumoniae was highly sensitive to ertapenem (100%). The resistance rates to nitrofurantoin, ceftriaxone, and ciprofloxacin were 37.4%, 37.1%, and 35.1%, respectively. Up to 41% of Escherichia coli strains and 26% of Klebsiella pneumoniae strains produced extended-spectrum lactamases (ESBL). Two species of enterococci were highly sensitive to tigecycline and linezolid (100%), and a small number of norvancomycin-resistant strains (0.2%/two strains) were found. Conclusion Escherichia coli and Enterococcus faecium were the most common urinary pathogens in this study. The isolated pathogens showed different sensitivity patterns. Antibiotics should be selected reasonably according to the sensitivity mode of pathogenic bacteria to effectively treat and prevent urinary tract infections.

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High antimicrobial resistance in urinary tract infections in male outpatients in routine laboratory data, Germany, 2015 to 2020

Cited by 10 publications

References 27 publications

Antimicrobial resistance of clinical Enterobacterales isolates from urine samples, Germany, 2016 to 2021

Antimicrobial resistance of clinical Enterobacterales isolates from urine samples, Germany, 2016 to 2021

Antimicrobial Agent Functional Gold Nanocluster-Mediated Multichannel Sensor Array for Bacteria Sensing

Patterns of Drug Resistance and Bacterial Pathogen Distribution in Patients with Urinary Tract Infections in the Jiaxing Region from 2020 to 2022

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