Antibiotic Resistance of Bacteria Associated with Community-Acquired Urinary Tract Infections in the Southern Area of the Gaza Strip

2002 ◽  
Vol 14 (3) ◽  
pp. 259-264 ◽  
Author(s):  
Z. Astal ◽  
A. El-Manama ◽  
F.A. Sharif
Keyword(s):  
Antibiotic Resistance ◽  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Gaza Strip ◽  
Southern Area ◽  
The Gaza Strip ◽  
Tract Infections

MultiresistantEscherichia coliIsolated from Women with Community-Acquired Urinary Tract Infections in the Gaza Strip

2002 ◽  
Vol 14 (6) ◽  
pp. 637-638 ◽  
Author(s):  
Z. Astal ◽  
F.A. Sharif ◽  
S.A. Abdallah ◽  
M.I. FAHD
Keyword(s):  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Gaza Strip ◽  
The Gaza Strip ◽  
Tract Infections

scholarly journals 1686. Microbiology of Community-Onset Urinary Tract Infections in the United States, 2012-2017

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S826-S827
Author(s):  
Leigh Ellyn Preston ◽  
Clifford McDonald ◽  
Babatunde Olubajo ◽  
Natalie McCarthy ◽  
Sujan Reddy ◽  
...  
Keyword(s):  
United States ◽  
Antibiotic Resistance ◽  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Relative Frequency ◽  
The United States ◽  
Antibiotic Prescribing ◽  
Factors Associated ◽  
Tract Infections ◽  
Community Onset

Abstract Background Community-onset urinary tract infections (coUTIs) are one of the most common indications for antibiotic prescribing. It is important to understand patient demographic factors associated with microorganisms causing coUTI and their antibiotic resistance profiles, to tailor antibiotic prescribing practices. We analyzed microbiology data to understand factors associated with coUTI in the United States (US). Methods CoUTIs were identified in the Premier Healthcare Database and Cerner Health Facts among patients treated at participating healthcare facilities in the US between 2012-2017. Cases were defined by urine cultures yielding a bacterial organism and were collected in outpatient settings or within three days of hospitalization. Only the first specimen for each encounter was included in the analysis. Data on the organisms isolated, patient’s age, sex, and US census regions of the submitting facilities were described and compared using chi-square tests for associations. Encounters were classified as inpatient (INPT), observation (OBS), emergency department (ED), and outpatient (OTPT) based on the setting in which the culture was submitted. Results Using data from 637 acute care hospitals, urine samples from 3,291,561 encounters were included, with 776,653 (25.7%) INPT, 1,063,219 (34.8%) ED, 107,760 (3.5%) OBS, and 1,092,658 (35.8%) OTPT. The pathogens most frequently associated with coUTIs were Escherichia coli (57.3%), Klebsiella pneumoniae (9.7%), Enterococcus faecalis (5.1%), Proteus mirabilis (4.9%), and Pseudomonas aeruginosa (2.9%). Female sex, age < 65y and OTPT and ED settings were associated with higher relative frequency of E. coli (all p < 0.0001). Male sex, INPT setting and age >65 y were associated with higher relative frequency of P. aeruginosa, P. mirabilis and E. faecalis (all p < 0.0001, Figure). K. pneumoniae was found at higher relative frequency in those >45y, and in INPT and OBS settings (all p < 0.0001). Figure. Distribution of pathogens most frequently associated with community onset urinary tract infections Conclusion Understanding patient factors associated with the microbiology of coUTIs is an important step in developing treatment recommendations and antibiotic stewardship efforts. Further analyses will include assessing the impact of major antibiotic resistance phenotypes, geographic and healthcare settings. Disclosures All Authors: No reported disclosures

Sign in / Sign up

Export Citation Format

Share Document