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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:
Expected Outcome: Improved EHR algorithm will have higher predictive accuracy for MACCE and mortality while predicting postoperative cognitive outcomes.
Full description
This study will cover the following two specific aims:
Aim 1. A pragmatic, non-randomized study to assess the effectiveness of preoperative personalized prehabilitation with proactive cognitive and behavioral interventions versus standard of care on reducing postoperative cognitive outcomes (including postoperative delirium within 30 days, postoperative cognitive decline, and dementia), MACCE, and mortality in high-risk surgical elderly patients (≥65 years). Our Electronic Health Record (EHR)-based automated machine-learning risk prediction algorithm for postoperative mortality and MACCE has been developed using >1.25 million surgical patients' data and implemented with superior performance to comparators. This EHR algorithm will identify approximately 1,000 patients at high risk for 30-day mortality and MACCE who proceed to surgery for Aim 1. Participants will receive either standard of care (n=500) or CPC-guided personalized preoperative prehabilitation with proactive cognitive or behavioral interventions (physical exercise, cognitive training, enhanced social support, and depression support) (n=500), based on real-world clinical referral practices rather than randomization. Cognitive assessments will be performed at baseline, discharge, and at 1, 3, 6, and 12 months.
Aim 2 Hypothesis: Proactive bundled intraoperative interventions are superior to standard intraoperative care in reducing postoperative cognitive outcomes, MACCE, and mortality.
Expected Outcome: The refined EHR-based risk prediction algorithm will demonstrate improved accuracy for predicting MACCE, mortality, and postoperative cognitive outcomes.
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Part I Inclusion Criteria:
Part II Inclusion Criteria:
Part I Exclusion Criteria:
Part II Exclusion Criteria:
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1,200 participants in 4 patient groups
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Central trial contact
Dayana Alsamsam, BSPS, MSc; Alisha Maslanka, BS, CCRC
Data sourced from clinicaltrials.gov
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