Shock : molecular, cellular, and systemic pathobiological aspects and therapeutic approaches : the official journal the Shock Society, the European Shock Society, the Brazilian Shock Society, the International Federation of Shock Societies
-
The COVID-19 pandemic has been a challenge to propose efficient therapies. Because severe SARS-CoV2 infection is a viral sepsis eventually followed by an immunological autoinflammatory phenomenon, many approaches have been inspired by the previous attempts made in bacterial sepsis, while specific antiviral strategies (use of interferon or specific drugs) have been additionally investigated. We summarize our current thinking on the use of SARS-CoV-2 antivirals, corticosteroids, anti-IL-1, anti-IL-6, anti-C5a, as well as stem cell therapy in severe COVID-19. Patient stratification and appropriate time window will be important to be defined to guide successful treatment.
-
Objective : The purpose of this study was to investigate the immunomodulatory effects of sulforaphane (SFN), a nuclear factor erythroid 2-related factor (Nrf2) pathway activator, on splenic macrophages' immunocompetence after hemorrhagic shock/resuscitation (HS/R). Methods : Male C57/BL6 wild-type mice (n = 6 per group) were subjected to either pressure-controlled HS (MAP, 35-45 mm Hg) or a sham procedure surgery (without HS). After 90 minutes of HS, fluid resuscitation with withdrawn blood and 0.9% NaCl was performed. ⋯ HS/R + SFN group: 20.54 ± 5.35 [at 6 h] and 8.60 ± 2.37 [at 24 h], P < 0.05). Furthermore, SFN improved in vitro splenic macrophage immunocompetence after HS/R, as evidenced by the increased secretion of inflammatory cytokines in response to LPS stimulation in vitro. Conclusions : Our study shows that SFN can reduce inflammatory cytokines secreted by splenic macrophages after HS/R and increase their immunocompetence toward a more anti-inflammatory profile.
-
Multicenter Study Observational Study
HYPOTENSION AT THE TIME OF SEPSIS RECOGNITION IS NOT ASSOCIATED WITH INCREASED MORTALITY IN SEPSIS PATIENTS WITH NORMAL LACTATE LEVELS.
Background and Objective: Although sepsis is heterogeneous, data on sepsis patients with normal lactate levels are very limited. We explored whether hypotension at the time of sepsis recognition (i.e., time zero) was significant in terms of survival when lactate levels were normal in sepsis patients. Patients and Design: This was a prospective multicenter observational study conducted in 19 hospitals (20 intensive care units [ICUs]). ⋯ In multivariable analysis, the use of appropriate antibiotics and early lactate measurement were significant risk factors for in-hospital mortality. Conclusions: In sepsis patients with normal lactate levels, neither hypotension nor vasopressor use adversely impacted the hospital outcome. Our results emphasize the importance of early interventions and appropriate use of antibiotics regardless of whether a patient is or is not hypotensive.
-
Introduction: Septic patients with atrial fibrillation (AF) are common in the intensive care unit accompanied by high mortality. The early prediction of prognosis of these patients is critical for clinical intervention. This study aimed to develop a model by using machine learning (ML) algorithms to predict the risk of 28-day mortality in septic patients with AF. ⋯ Conclusion: We established the first ML model for predicting the 28-day mortality of septic patients with AF. Compared with conventional scoring systems, the AdaBoost model performed moderately. The model established will have the potential to improve the level of clinical practice.