Multivariable Predictive Model of Postoperative Delirium in Cardiac Surgery Patients: Proteomic and Demographic Contributions
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.
Authors
- Hasan H. Otu (ORCID: https://orcid.org/0000-0002-9253-8152)
- Simon T. Dillon (ORCID: https://orcid.org/0000-0002-4417-178X)
- Maria Carolina Bittencourt Gonçalves (ORCID: https://orcid.org/0000-0002-2525-6155)
- Shilpa Narayanan (ORCID: https://orcid.org/0000-0002-8095-3543)
- Tanvi Khera (ORCID: https://orcid.org/0000-0002-0508-9409)
- Edward R. Marcantonio (ORCID: https://orcid.org/0000-0002-2911-4250)
- Towia Aron Libermann (ORCID: https://orcid.org/0000-0002-4006-8179)
- Akshay Shanker (ORCID: https://orcid.org/0000-0002-9894-6675)
- Long Ngo (ORCID: https://orcid.org/0000-0001-9349-7981)
- Yoojin Jung (ORCID: https://orcid.org/0000-0002-1148-3541)
- Xuesong Gu
- Balachundhar Subramaniam
Institutions
- University of Nebraska–Lincoln (US)
- Beth Israel Deaconess Medical Center (US)
- Harvard University (US)
- Cornell University (US)
- Weill Cornell Medicine (US)
Publication Details
- Journal
- Anesthesia & Analgesia
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1213/ane.0000000000007293
- Citations
- 7
- Primary Topic
- Intensive Care Unit Cognitive Disorders
- Type
- article
- Field-Weighted Citation Impact
- 2.95