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.

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.