Cardiothoracic & vascular anesthesia
Multivariable Predictive Model of Postoperative Delirium in Cardiac Surgery Patients: Proteomic and Demographic Contributions
Authors' conclusion
Our results support the identification of patients at higher risk of developing delirium after cardiac surgery using a multivariable model that combines demographic and physiological features, also bringing light to the role of immune and vascular dysregulation as underlying mechanisms.
Study context
- Population
- Older adults undergoing cardiac surgery requiring CPBvalidation
- Participants
- 115 adults
- Comparison
- Delirious vs nondelirious patients
- Deliriumn = 21
- Outcome
- Postoperative delirium
Methodological detailsproteomic screening (SomaScan), validation cohort (Enzyme-Linked Lectin Assay (ELLA) multiplex immunoassay), multivariable predictive model
- Proteomic screening (SomaScan)
- Validation cohort (ELLA multiplex immunoassay)
- Multivariable predictive model
Performance
As reported in the abstract
Best performing predictive model for delirium (age, sex, angiopoietin-2, C-C motif chemokine 5, metalloproteinase inhibitor 1)
Delirium incidence
18.3%
Model AUC
0.829
Further findings
Differentially expressed proteins, delirious vs nondelirious (SomaScan screening) · preoperatively and POD2
- Proteins differentially expressed preoperatively
- 115
- Proteins differentially expressed at POD2
- 85
- P < .05
Biomarker candidates selected for ELLA validation
- Candidates (|tFC| >1.4, BH-P < .01)
- 12
Pathway analysis
- Delirium-associated proteins involved in inflammation, glial dysfunction, vascularization, and hemostasis
Original publication
Multivariable Predictive Model of Postoperative Delirium in Cardiac Surgery Patients: Proteomic and Demographic Contributions. Anesth Analg. Published 10 January 2025. doi:10.
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