Secondary Complement Deficiency Impairs Anti-Microbial Immunity to Klebsiella pneumoniae and Staphylococcus aureus During Severe Acute COVID-19

Ali, Youssif M.; Lynch, Nicholas J.; Khatri, Priyanka; Bamigbola, Ifeoluwa E; Chan, Andrew; Yabuki, Munehisa; Demopulos, Gregory; Heeney, Jonathan L.; Pai, Sumita; Baxendale, Helen; Schwaeble, Wilhelm

doi:10.3389/fimmu.2022.841759

Cited by 8 publications

(3 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…9 One potential mechanism of immune dysregulation may be via the induction of secondary hypocomplementemia. 27 Aside from COVID-19 infection, the most common comorbidity in this study was DM, which was seen in 40% of patients. This is consistent with reports in the literature.…”

Section: Discussionmentioning

confidence: 71%

See 1 more Smart Citation

Klebsiella Endogenous Endophthalmitis During the COVID-19 Pandemic

Agi

Zarbin

Bhagat

2023

Journal of VitreoRetinal Diseases

View full text Add to dashboard Cite

Purpose: To describe the characteristics of Klebsiella pneumoniae endogenous endophthalmitis (KEE) encountered during the COVID-19 pandemic. Methods: This retrospective consecutive case series evaluated eyes that presented with KEE between March 2020 and July 2022. Results: Seven eyes of 5 patients developed KEE. Between January 2020 and July 2022, KEE was observed in 42% of consecutive EE cases compared with 7.8% during the preceding 13 years. COVID-19 was positive in 4 of 5 patients before they developed KEE. Only 1 patient presented with a VA better than hand motions (20/400). All eyes were treated with urgent vitrectomy and intravitreal and systemic antibiotics. No improvement in vision occurred in any patient; VA remained light perception to no light perception in 60% of eyes. Conclusions: The visual prognosis in KEE is extremely poor. The presence of a preceding COVID-19 infection in 80% of patients may signal a new risk factor for KEE. Patients with a hypervirulent Klebsiella syndrome should be routinely screened for EE.

show abstract

Section: Discussionmentioning

confidence: 71%

“… 9 One potential mechanism of immune dysregulation may be via the induction of secondary hypocomplementemia. 27 …”

Section: Discussionmentioning

confidence: 99%

Klebsiella Endogenous Endophthalmitis During the COVID-19 Pandemic

Agi

Zarbin

Bhagat

2023

Journal of VitreoRetinal Diseases

View full text Add to dashboard Cite

show abstract

“…Many studies had indicated that the dominant pathogenic strains isolated in COVID-19 pneumonia patients were different compared to the common nosocomial or community-acquired pneumonia patients [16][17][18]. For our studied non-COVID-19 patients the major isolated strains were K. pneumoniae (Table 4).…”

Section: Discussionmentioning

confidence: 87%

Respiratory Tract Pathogen Profiles of COVID-19 Pneumonia Patients and the Mortality Prediction

Liu,

Fan

et al. 2024

Preprint

View full text Add to dashboard Cite

Background COVID-19 pneumonia is easily complicated with other respiratory pathogenic attacks, increasing the risk of death. Exploring the pathogen profiles of COVID-19 patients-related facilitated the clinical management and decisions to pursue better prognosis. Methods This study systematically compared the sputum culture results and death events of 170 non-COVID-19 and 197 COVID-19 patients. Statistical analysis was carried out to find the pathogen profile difference between the two populations. The death risk model was constructed for the infected COVID-19. Results It was found that co-infection with bacteria and fungi increased the mortality of COVID-19 pneumonia patients. The isolation rate of Acinetobacter baumannii in COVID-19 patients was significantly higher than that in non-COVID-19 patients and often showed multi-drug resistant phenotypes. The COVID-19 pneumonia patients showed a higher incidence of intensive care unit admission, ventilator-assisted ventilation and death with fungal infection. The serum levels of interleukin-1, interleukin-6, interleukin-8, TNF, lymphocytes, neutrophils and white blood cells in patients with COVID-19 pneumonia decreased. A death prediction model was constructed based on machine learning methods, achieving a prediction accuracy of 90.0%. The main factors affecting the survival rate of COVID-19 pneumonia patients co-infected with other pathogens were admission to the intensive care unit, days of hospital stay, ventilator-aided treatment, carbapenems administration, lymphocyte, serum aspartate aminotransferase level, Acinetobacter baumannii infection, and Candida infection. Conclusions This study provided necessary clinical indicators for timely and precise intervention of COVID-19 pneumonia patients when they were infected by other pathogens. The COVID-19-related secondary infection microorganisms were different compared with the pathogens isolated from non-COVID-19 patients.

show abstract