The journal of spinal cord medicine · 2023
Epidemiology of pathogens and antimicrobial resistance of nosocomial urinary tract infections in patients with spinal cord injuries in China: A systematic review and meta-analysis.
МетаанализСистематический обзорСтатьяНазвание и аннотация: Перевод в очереди
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Yan Laijun, Ge Haiya, Zhang Yan, Li Nan
Аннотация
CONTEXT: Despite a high urinary tract infection (UTI) rate in spinal cord injured patents in China, there is limited evidence on the epidemiological character of that.
OBJECTIVE: The purpose of our article was to characterize the distribution of pathogens of UTI patients with spinal cord injuries (SCI) and the resistance profile of pathogens.
METHODS: A literature search of six electronic databases was carried out to identify the incidence, pathogen distribution, and drug resistance of UTI after SCI based on our inclusion and exclusion criteria. Meta-analysis was carried out using R 4.0.2 software; a subgroup analysis was performed by the year 2012.
RESULTS: We screened 1110 eligible studies, 33 were included in our final review. A total of 7271 bacterial species were included in our studies; 6092 were gram-negative (81.13% [76.83-85.11]) and 1003 were gram-positive (14.89% [11.70-18.38]). Before 2012, E. coli (45.43%) was the predominant isolated pathogen, followed by Klebsiella (7.49%) and Enterococcus (6.01%). After 2012, E. coli (50.23%) was the main pathogen, followed by Klebsiella (12.47%) and Proteus (6.88%). E. coli was more likely to be resistant to Levofloxacin, Amikacin, sulfonamides, 4th-generation cephalosporins and Nitrofurantoin before 2012 (81.8% vs. 62.9%, 32.0% vs. 7.6%, 81.3% vs. 61.6%, 81.8% vs. 24.1%, 33.5% vs. 5.1%), whereas E. coli was more frequently resistant to Inhibitor-resistant β-lactamas after 2012 (56.3% vs. 34.0%). K. pneumoniae was more likely to be resistant to Aztreonam, Amikacin before 2012 (80.0% vs. 39.8%, 48.1% vs. 19.0%). P. aeruginosa presented a high resistance to Levofloxacin, Inhibitor-resistant β-lactamas after 2012 (61.8% vs. 35.6%, 59.1% vs. 5.7%).
CONCLUSIONS: UTI in patients with SCI in China were mainly caused by gram-negative bacteria. We observed a remarkable modification in resistance profiles of pathogen distribution before 2012 and after 2012, which suggests reasonable control of the use of antibiotics has a positive effectiveness on resistance profiles.
OBJECTIVE: The purpose of our article was to characterize the distribution of pathogens of UTI patients with spinal cord injuries (SCI) and the resistance profile of pathogens.
METHODS: A literature search of six electronic databases was carried out to identify the incidence, pathogen distribution, and drug resistance of UTI after SCI based on our inclusion and exclusion criteria. Meta-analysis was carried out using R 4.0.2 software; a subgroup analysis was performed by the year 2012.
RESULTS: We screened 1110 eligible studies, 33 were included in our final review. A total of 7271 bacterial species were included in our studies; 6092 were gram-negative (81.13% [76.83-85.11]) and 1003 were gram-positive (14.89% [11.70-18.38]). Before 2012, E. coli (45.43%) was the predominant isolated pathogen, followed by Klebsiella (7.49%) and Enterococcus (6.01%). After 2012, E. coli (50.23%) was the main pathogen, followed by Klebsiella (12.47%) and Proteus (6.88%). E. coli was more likely to be resistant to Levofloxacin, Amikacin, sulfonamides, 4th-generation cephalosporins and Nitrofurantoin before 2012 (81.8% vs. 62.9%, 32.0% vs. 7.6%, 81.3% vs. 61.6%, 81.8% vs. 24.1%, 33.5% vs. 5.1%), whereas E. coli was more frequently resistant to Inhibitor-resistant β-lactamas after 2012 (56.3% vs. 34.0%). K. pneumoniae was more likely to be resistant to Aztreonam, Amikacin before 2012 (80.0% vs. 39.8%, 48.1% vs. 19.0%). P. aeruginosa presented a high resistance to Levofloxacin, Inhibitor-resistant β-lactamas after 2012 (61.8% vs. 35.6%, 59.1% vs. 5.7%).
CONCLUSIONS: UTI in patients with SCI in China were mainly caused by gram-negative bacteria. We observed a remarkable modification in resistance profiles of pathogen distribution before 2012 and after 2012, which suggests reasonable control of the use of antibiotics has a positive effectiveness on resistance profiles.