Literature DB >> 31814033

Differences between Community - and Hospital - acquired urinary tract infections in a tertiary care hospital.

Alessio Mancini1, Sandra Pucciarelli1, Francesca Elena Lombardi2, Simone Barocci3, Paola Pauri4, Stefano Lodolini3.   

Abstract

The aim of this retrospective study was to highlight the differences in antibiotic resistance between Hospital-acquired and Community-acquired urinary tract infections (UTIs). Antimicrobial UTIs resistance data were collected from March 2011 to March 2018. Uropathogens were identified from 41,715 patients using routine laboratory methods. Differences in antibiotic resistance between Hospital and Community (non-hospitalized) patients were statistically validated. Odds ratio (OR) and p-values was used to determine whether a particular exposure (hospitalization) was a risk factor for a particular outcome (higher antibiotic resistance). We reported a general increase of unnecessary urine cultures in both community and hospital patients. The most representative microorganism isolated from Community (58.2%) and Hospital (47.6%) was E. coli. UTIs causative bacteria in hospitalized patients was more than twice as resistant to Trimetoprim/sulphamethoxazole (OR 2.26) and Imipenem (OR 2.56), for Gram-positive and Gram-negative, respectively, than in Community patients. Nitrofurantoin was the only agent without differences in resistance rate between community and hospital UTIs. Therefore, physicians could use it as a definitive therapy for uncomplicated cystitis and as a prophylactic agent for recurrent uncomplicated cystitis. With this work we provided a general protocol applicable by physicians to select the most suitable, if necessary, UTIs empiric treatment.

Entities:  

Keywords:  Community; Infection; Nosocomial; UTI; Urinary; Urine

Year:  2019        PMID: 31814033

Source DB:  PubMed          Journal:  New Microbiol        ISSN: 1121-7138            Impact factor:   2.479


  3 in total

1.  The Increased Length of Hospital Stay and Mortality Associated With Community-Associated Infections in Australia.

Authors:  Teresa M Wozniak; Amalie Dyda; Xing Lee
Journal:  Open Forum Infect Dis       Date:  2022-03-17       Impact factor: 4.423

2.  Resistance Patterns from Urine Cultures in Children Aged 0 to 6 Years: Implications for Empirical Antibiotic Choice.

Authors:  Carlotta Montagnani; Chiara Tersigni; Sara D'Arienzo; Andreea Miftode; Elisabetta Venturini; Barbara Bortone; Leila Bianchi; Elena Chiappini; Silvia Forni; Fabrizio Gemmi; Luisa Galli
Journal:  Infect Drug Resist       Date:  2021-06-23       Impact factor: 4.003

3.  Machine learning models predicting multidrug resistant urinary tract infections using "DsaaS".

Authors:  Alessio Mancini; Leonardo Vito; Elisa Marcelli; Marco Piangerelli; Renato De Leone; Sandra Pucciarelli; Emanuela Merelli
Journal:  BMC Bioinformatics       Date:  2020-08-21       Impact factor: 3.169

  3 in total

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