Amyloid-Fibrinogen Aggregates ("Microclots") Predict Risks of Disseminated Intravascular Coagulation and Mortality.
Jeremy SchofieldSimon Timothy AbramsRosalind E JenkinsSteven LaneGuozheng WangCheng-Hock TohPublished in: Blood advances (2024)
Microclots have been associated with various conditions, including post-acute sequelae of SARS-CoV-2 infection. They have been postulated to be amyloid-fibrin(ogen) aggregates, but their role as a prognostic biomarker remains unclear. To examine for their possible clinical utility, blood samples were collected for the first 96 hours from critically ill patients (n=104) admitted to the intensive care unit (ICU). Detection was by staining platelet-poor plasma samples with Thioflavin T and visualized by fluorescent microscopy. Image J software was trained to identify and quantify microclots, which were detected in 44 [42.3%] patients on ICU admission but not in the remaining 60 [57.7%] or in 20 healthy controls [0.0%]. Microclots on admission to ICU were associated with a primary diagnosis of sepsis (microclots present in sepsis=23/44 [52.3%] vs microclots absent in sepsis=19/60 [31.7%], P=0.044). Multicolour immunofluorescence demonstrated that microclots consisted of amyloid-fibrinogen aggregates, which was supported by proteomic analysis. Patients with either a high number or larger-sized microclots had a higher likelihood of developing disseminated intravascular coagulation (DIC) (OR=51.4 [95% CI=6.3-6721.1], P<0.001) and had an increased probability of 28-day mortality (OR=5.3 [95% CI=2.0-15.6], P<0.001). This study concludes that microclots, as defined by amyloid-fibrin(ogen) aggregates, are potentially useful in identifying sepsis and predicting adverse coagulopathic and clinical outcomes.
Keyphrases
- intensive care unit
- acute kidney injury
- septic shock
- end stage renal disease
- emergency department
- mechanical ventilation
- coronary artery
- ejection fraction
- cardiovascular events
- newly diagnosed
- label free
- chronic kidney disease
- risk assessment
- risk factors
- respiratory failure
- type diabetes
- peritoneal dialysis
- machine learning
- extracorporeal membrane oxygenation
- human health
- patient reported outcomes
- body composition
- optical coherence tomography
- coronavirus disease
- resistance training
- hepatitis b virus
- living cells
- electron microscopy