Microclots, as defined by amyloid-fibrinogen aggregates, predict risks of disseminated intravascular coagulation and mortality.
Jeremy SchofieldSimon T AbramsRosalind E JenkinsSteven LaneGuozheng WangCheng-Hock TohPublished in: Blood advances (2024)
Microclots have been associated with various conditions, including postacute sequelae of severe acute respiratory syndrome coronavirus 2 infection. They have been postulated to be amyloid-fibrin(ogen) aggregates, but their role as a prognostic biomarker remains unclear. To examine 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 patients (42.3%) on ICU admission but not in the remaining 60 (57.7%) or the 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 = .044). Multicolor 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 (odds ratio [OR], 51.4; 95% confidence interval [CI], 6.3-6721.1; P < .001) and had an increased probability of 28-day mortality (OR, 5.3; 95% CI, 2.0-15.6; P < .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
- emergency department
- end stage renal disease
- mechanical ventilation
- coronary artery
- risk factors
- sars cov
- cardiovascular events
- label free
- cardiovascular disease
- deep learning
- chronic kidney disease
- type diabetes
- prognostic factors
- high resolution
- optical coherence tomography
- single molecule
- machine learning
- quantum dots
- patient reported outcomes
- body composition
- coronary artery disease
- peritoneal dialysis
- flow cytometry
- electronic health record
- acute respiratory distress syndrome
- data analysis
- bone regeneration
- loop mediated isothermal amplification