Bacterial coinfection and antibiotic resistance in hospitalized COVID-19 patients: a systematic review and meta-analysis

PeerJ, Journal Year: 2023, Volume and Issue: 11, P. e15265 - e15265

Published: April 26, 2023

Background There were a few studies on bacterial coinfection in hospitalized COVID-19 patients worldwide. This systematic review aimed to provide the pooled prevalence of from published 2020 2022. Methods Three databases used search studies, and 49 2,451 identified involving 212,605 included this review. Results The random-effects inverse-variance model determined that was 26.84% (95% CI [23.85–29.83]). isolated bacteria for Acinetobacter baumannii 23.25% [19.27–27.24]), Escherichia coli 10.51% [8.90–12.12]), Klebsiella pneumoniae 15.24% [7.84–22.64]), Pseudomonas aeruginosa 11.09% [8.92–13.27]) Staphylococcus aureus (11.59% [9.71–13.46])). Meanwhile, antibiotic-resistant extended-spectrum beta-lactamases producing Enterobacteriaceae [7.84–22.64]) followed by carbapenem-resistant (14.55% [9.59–19.52%])), (6.95% [2.61–11.29])), methicillin-resistant (5.05% [3.49–6.60])), (4.95% [3.10–6.79])), vancomycin-resistant Enterococcus (1.26% [0.46–2.05])). Conclusion All prevalences considered as low. However, effective management prevention infection should be since these coinfections have bad impact morbidity mortality patients.

Language: Английский

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Etiological structure and profile of antimicrobial resistance of pathogens in bacteremia in COVID-19 patients

Journal Infectology, Journal Year: 2025, Volume and Issue: 16(4), P. 32 - 39

Published: Jan. 15, 2025

Goal. To investigate the spectrum of microorganisms, level antimicrobial resistance and to assess their effect on outcomes bacteremia among COVID­19 patients. Materials methods . A retrospective analysis potentially resistant bacteria detected in blood mortality rate patients with other diagnoses period from 01.01. – 12/31/2020. Results In total, analyzed pathogens were isolated 168 patients, including 101 (group 1) 67 2). Bloodstream infection more often (12.6 2.6 cases per 1000 p<0.05). group 1, proportion gram­-negative was higher than 2 (63.8% 52.1%, p=0.012). The most commonly pathogen 1 is K. pneumoniae (31.5%, 41 cultures), S. aureus (35.2%, 25 cultures). Of particular importance identification A. baumannii (32 4 cultures, p<0.001) E. faecium (24 p=0.003) 1; (25 11 coli (9 6 p=0.038) 2. Three leading types microorganisms have a high resistance: 96.9% 81.6% carbapenems, 36.8% VRE. several (22.8% 6.0%, p=0.004) (70.3% 41.8%, frequently. (68.3% 50.7%, p=0.022). occurrence bloodstream caused by microorganism an unfavorable factor onset death (p=0.022). Conclusion. polymicrobial associations predominance both composition as monoinfection. resistance, which must be taken into account when choosing antibiotics.

Language: Английский

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The association between early corticosteroid use and the risk of secondary infections in hospitalized patients with COVID-19: a double-edged sword. Results from the international SCCM discovery viral infection and respiratory illness universal study (VIRUS) COVID-19 registry

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: Feb. 14, 2025

Background Corticosteroids improve survival in hospitalized COVID-19 patients needing supplemental oxygen. However, concern exists about increased risk of secondary infections. This study investigated the impact early corticosteroids use on these Methods Data from Society Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS): registry were analyzed for adult patients, stratified by corticosteroid (within 48 h admission). The primary outcome was documented infections, including bacteremia, bacterial pneumonia, empyema, meningitis/encephalitis, septic shock, ventilator-associated pneumonia. Univariate multivariable logistic regression models used to assess association between outcomes. Results Among 17,092 eligible with 13.5% developed at least one infection during hospitalization. Patients receiving older (median 63 years) compared those who did not 60 years), a similar gender distribution (42.5% vs. 44.2% female). Unadjusted analysis revealed higher any (OR 1.93, 95% CI 1.76–2.12). persisted specific infections bacteremia 2.0, 1.58–2.54), pneumonia 1.5, 1.27–1.77), shock 1.67, 1.44–1.93). effect meningitis/encephalitis 0.62, 0.24–1.57) (VAP; OR 1.08, 0.75–1.57) non-significant. Adjusted maintained significance 1.15, 1.02–1.29), 1.43, 1.09–1.88), unknown sources 1.63, 1.31–2.02). Notably, weakened became non-significant 0.98, 0.81–1.20) 0.94, 0.79–1.11), while it significant 0.26, 0.08–0.82). VAP remained 0.87, 0.56–1.34). Conclusion Early overall but varied. Risk notably increased, after adjustment becoming surprisingly reduced noted suggesting complexity effects. Further research is needed understand how influence thereby optimize treatment strategies.

Language: Английский

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Pathological Characteristics and Risk Factors of Secondary Pulmonary Infections Following COVID-19 Infection

Advances in Clinical Medicine, Journal Year: 2025, Volume and Issue: 15(03), P. 696 - 703

Published: Jan. 1, 2025

Language: Английский

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Phage therapy for secondary bacterial infections with COVID-19

Current Opinion in Virology, Journal Year: 2021, Volume and Issue: 52, P. 9 - 14

Published: Nov. 9, 2021

Language: Английский

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