How sepsis parallels and differs from COVID-19

Herminghaus, Anna; Osuchowski, Marcin F.

doi:10.1016/j.ebiom.2022.104355

Cited by 19 publications

(11 citation statements)

References 11 publications

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“…These findings may point out the possible prediction of PCC development. PCC has remarkable similarities to post-sepsis syndrome, as these two conditions are characterised by persistent symptoms after the acute disease, with a decrease in the quality of life ( 58 , 59 ). In both, the long-term sequelae seem related to inflammatory dysregulation ( 58 ).…”

Section: Discussionmentioning

confidence: 99%

“…PCC has remarkable similarities to post-sepsis syndrome, as these two conditions are characterised by persistent symptoms after the acute disease, with a decrease in the quality of life ( 58 , 59 ). In both, the long-term sequelae seem related to inflammatory dysregulation ( 58 ). Sepsis survivors present a higher risk of death in the subsequent years ( 59 ).…”

Section: Discussionmentioning

confidence: 99%

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Post-COVID-19 condition: systemic inflammation and low functional exercise capacity

de Castro,

Gama,

Ramos

et al. 2024

Front. Nutr.

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IntroductionPost-COVID-19 condition (PCC) is characterised by a plethora of symptoms, with fatigue appearing as the most frequently reported. The alterations that drive both the persistent and post-acute disease newly acquired symptoms are not yet fully described. Given the lack of robust knowledge regarding the mechanisms of PCC we have examined the impact of inflammation in PCC, by evaluating serum cytokine profile and its potential involvement in inducing the different symptoms reported.MethodsIn this cross-sectional study, we recruited 227 participants who were hospitalised with acute COVID-19 in 2020 and came back for a follow-up assessment 6–12 months after hospital discharge. The participants were enrolled in two symptomatic groups: Self-Reported Symptoms group (SR, n = 96), who did not present major organ lesions, yet reported several debilitating symptoms such as fatigue, muscle weakness, and persistent loss of sense of smell and taste; and the Self-Reported Symptoms and decreased Pulmonary Function group (SRPF, n = 54), composed by individuals with the same symptoms described by SR, plus diagnosed pulmonary lesions. A Control group (n = 77), with participants with minor complaints following acute COVID-19, was also included in the study. Serum cytokine levels, symptom questionnaires, physical performance tests and general clinical data were obtained in the follow-up assessment.ResultsSRPF presented lower IL-4 concentration compared with Control (q = 0.0018) and with SR (q = 0.030), and lower IFN-α2 serum content compared with Control (q = 0.007). In addition, SRPF presented higher MIP-1β serum concentration compared with SR (q = 0.029). SR presented lower CCL11 (q = 0.012 and q = 0.001, respectively) and MCP-1 levels (q = 0.052 for both) compared with Control and SRPF. SRPF presented lower G-CSF compared to Control (q = 0.014). Female participants in SR showed lower handgrip strength in relation to SRPF (q = 0.0082). Male participants in SR and SRPF needed more time to complete the timed up-and-go test, as compared with men in the Control group (q = 0.0302 and q = 0.0078, respectively). Our results indicate that different PCC symptom profiles are accompanied by distinct inflammatory markers in the circulation. Of particular concern are the lower muscle function findings, with likely long-lasting consequences for health and quality of life, found for both PCC phenotypes.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Post-COVID-19 condition: systemic inflammation and low functional exercise capacity

de Castro,

Gama,

Ramos

et al. 2024

Front. Nutr.

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“…To avoid this bias, we divided the data set into two groups of patients hospitalized for <15 and >15 days—approximately allowed us to analyze 70% of the cases within the first timeframe–and retained the prognostic value of the key factors. It should be also stated that the COVID‐19 mortality is also strongly associated with multimorbidity, coagulation disorders, multiorgan failure as well as septic complications, hence lung involvement is only one of the considered parameters, especially in case of mortality during prolonged in‐hospital treatment 40,41 …”

Section: Discussionmentioning

confidence: 99%

“…To avoid this bias, we divided the data set into two groups of patients hospitalized for <15 and >15 days-approximately allowed us to analyze 70% of the cases within the first timeframe-and retained the prognostic value of the key factors. It should be also stated that the COVID-19 mortality is also strongly associated with multimorbidity, coagulation disorders, multiorgan failure as well as septic complications, hence lung involvement is only one of the considered parameters, especially in case of mortality during prolonged in-hospital treatment 40,41. In conclusion, in this analysis, we demonstrated the utility of ANN-based lung tissue involvement in the prediction of unfavorable outcomes in COVID-19, identifying the automatically assessed percentage of lung involvement as the strongest independent factor associated with mortality.…”

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confidence: 99%

Artificial neural network based prediction of the lung tissue involvement as an independent in‐hospital mortality and mechanical ventilation risk factor in COVID‐19

Parczewski,

Kufel,

Aksak‐Wąs

et al. 2023

Journal of Medical Virology

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Introduction: During COVID-19 pandemic, artificial neural network (ANN) systems have been providing aid for clinical decisions. However, to achieve optimal results, these models should link multiple clinical data points to simple models. This study aimed to model the in-hospital mortality and mechanical ventilation risk using a two step approach combining clinical variables and ANN-analyzed lung inflammation data.Methods: A data set of 4317 COVID-19 hospitalized patients, including 266 patients requiring mechanical ventilation, was analyzed. Demographic and clinical data (including the length of hospital stay and mortality) and chest computed tomography (CT) data were collected. Lung involvement was analyzed using a trained ANN.The combined data were then analyzed using unadjusted and multivariate Cox proportional hazards models.Results: Overall in-hospital mortality associated with ANN-assigned percentage of the lung involvement (hazard ratio [HR]: 5.72, 95% confidence interval [CI]: 4.4-7.43, p < 0.001 for the patients with >50% of lung tissue affected by COVID-19 pneumonia), age category (HR: 5.34, 95% CI: 3.32-8.59 for cases >80 years,

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“…Complication rates are estimated at 32.7%, and “failure to rescue” (FTR)—the risk of death after a treatable complication—is estimated at 6.8% only for post-surgical patients [ 10 ], making the diagnosis and treatment of sepsis even more challenging. These issues were further highlighted during the COVID-19 pandemic in which many clinical manifestations of severe SARS-CoV-2 infection paralleled bacterial sepsis given the long-term sequalae and protracted inflammatory dysregulation and organ hemostasis [ 11 , 12 , 13 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Parallel Dysregulated Immune Response in Severe Forms of COVID-19 and Bacterial Sepsis via Single-Cell Transcriptome Sequencing

et al. 2023

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Critically ill COVID-19 patients start developing single respiratory organ failure that often evolves into multiorgan failure. Understanding the immune mechanisms in severe forms of an infectious disease (either critical COVID-19 or bacterial septic shock) would help to achieve a better understanding of the patient’s clinical trajectories and the success of potential therapies. We hypothesized that a dysregulated immune response manifested by the abnormal activation of innate and adaptive immunity might be present depending on the severity of the clinical presentation in both COVID-19 and bacterial sepsis. We found that critically ill COVID-19 patients demonstrated a different clinical endotype that resulted in an inflammatory dysregulation in mild forms of the disease. Mild cases (COVID-19 and bacterial non severe sepsis) showed significant differences in the expression levels of CD8 naïve T cells, CD4 naïve T cells, and CD4 memory T cells. On the other hand, in the severe forms of infection (critical COVID-19 and bacterial septic shock), patients shared immune patterns with upregulated single-cell transcriptome sequencing at the following levels: B cells, monocyte classical, CD4 and CD8 naïve T cells, and natural killers. In conclusion, we identified significant gene expression differences according to the etiology of the infection (COVID-19 or bacterial sepsis) in the mild forms; however, in the severe forms (critical COVID-19 and bacterial septic shock), patients tended to share some of the same immune profiles related to adaptive and innate immune response. Severe forms of the infections were similar independent of the etiology. Our findings might promote the implementation of co-adjuvant therapies and interventions to avoid the development of severe forms of disease that are associated with high mortality rates worldwide.

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How sepsis parallels and differs from COVID-19

Cited by 19 publications

References 11 publications

Post-COVID-19 condition: systemic inflammation and low functional exercise capacity

Post-COVID-19 condition: systemic inflammation and low functional exercise capacity

Artificial neural network based prediction of the lung tissue involvement as an independent in‐hospital mortality and mechanical ventilation risk factor in COVID‐19

Parallel Dysregulated Immune Response in Severe Forms of COVID-19 and Bacterial Sepsis via Single-Cell Transcriptome Sequencing

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