Prediction and Prevention of Postoperative Mortality and Morbidity

Starting soon · Not applicable

Conditions studied: Dementia, Postoperative Delirium (POD), Postoperative Neurocognitive Disorder, Major Adverse Cardiac and Cerebrovascular Events, Perioperative Complications, Postoperative Cognitive Decline

In brief

This study will contribute to creating a prospective and automated preoperative risk assessment algorithm for predicting 30-day mortality, major adverse cardiac and cerebrovascular events (MACCE), and postoperative neurocognitive outcomes following elective cardiac and vascular surgery in older adults. It will evaluate associations between perioperative factors and longer-term neurocognitive outcomes, including postoperative neurocognitive disorder and dementia. In addition, this study will assess scalable, multimodal preoperative and intraoperative interventions to improve perioperative outcomes. This study will explore two main hypotheses: 1. Preoperative personalized prehabilitation with proactive cognitive and behavioral interventions will improve postoperative cognitive outcomes, morbidity, and mortality in high-risk elderly surgical patients. 2. Proactive bundled intraoperative interventions are superior to reactive standard of care in reducing postoperative cognitive outcomes, MACCE, and mortality. Expected Outcome: Improved EHR algorithm will have higher predictive accuracy for MACCE and mortality while predicting postoperative cognitive outcomes.

Key facts

Study ID
NCT06042413
Run by
University of Pittsburgh
People needed
1200
Starts
2026-08-01
Expected to finish
2027-06-01
Last updated by the study team
2026-07-06

Who can join

Age: 65 and older. Sex: any. Healthy volunteers: not accepted.

Where it is running

Full record on ClinicalTrials.gov

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