Profile of Co-Infection Prevalence and Antibiotics Use among COVID-19 Patients

被引:10
作者
Greco, Rita [1 ]
Panetta, Vittorio [1 ]
Della Rocca, Maria Teresa [1 ]
Durante, Adriana [1 ]
Di Caprio, Giovanni [2 ]
Maggi, Paolo [2 ,3 ]
机构
[1] AORN St Anna & San Sebastiano, UOSD Microbiol, I-81100 Caserta, Italy
[2] AORN St Anna & San Sebastiano, Infect & Trop Dis Clin, I-81100 Caserta, Italy
[3] Univ Campania Luigi Vanvitelli, Dept Infect Dis, I-81100 Caserta, Italy
关键词
COVID-19; bacterial co-infection; medical comorbidity data; antibiotic treatment; BACTERIAL COINFECTIONS; INFECTION;
D O I
10.3390/pathogens11111250
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Bacterial co-infection in COVID-19 patients significantly contributes to the worsening of the prognosis based on morbidity and mortality. Information on the co-infection profile in such patients could help to optimize treatment. The purpose of this study was to describe bacterial co-infections associated with microbiological, clinical, and laboratory data to reduce or avoid a secondary infection. A retrospective cohort study was conducted at Sant'Anna and San Sebastiano Hospital from January 2020 to December 2021. Bacterial co-infection was detected in 14.3% of the COVID-19-positive patients. The laboratory findings on admission showed significant alterations in the median D-dimer, C-reactive protein, interleukin-6, and lactate dehydrogenase values compared to normal values. All inflammatory markers were significantly elevated. The most common pathogens isolated from blood cultures were E. faecalis and S. aureus. Instead, the high prevalence of respiratory tract infections in the COVID-19 patients was caused by P. aeruginosa (41%). In our study, 220 (82.4%) of the COVID-19 patients received antimicrobial treatment. Aminoglycosides and beta-lactams/beta-lactamase inhibitors showed the highest resistance rates. Our results showed that older age, underlying conditions, and abnormal laboratory parameters can be risk factors for co-infection in COVID-19 patients. The antibiotic susceptibility profile of bacterial pathogen infection provides evidence on the importance, for the clinicians, to rationalize and individualize antibiotic usage.
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页数:11
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