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How can we identify the high-risk patient?
Ashwin Sankar1, W Scott Beattie, Duminda N Wijeysundera
1aDepartment of Anesthesia, University of Toronto bDepartment of Anesthesia, Toronto General Hospital cLi Ka Shing Knowledge Institute of St. Michael's Hospital dInstitute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Identifying high-risk surgical patients early is crucial for better outcomes. Preoperative tools offer moderate accuracy, while novel biomarkers and specialized tests show promise for refining risk assessment.
Area of Science:
- Anesthesiology
- Cardiology
- Perioperative Medicine
Background:
- Accurate identification of high-risk surgical patients is essential for optimizing perioperative care.
- Targeted monitoring and interventions can improve outcomes for at-risk individuals.
Purpose of the Study:
- To review current evidence on identifying high-risk surgical patients.
- To explore the utility of preoperative, operative, and postoperative data for risk stratification.
Main Methods:
- Systematic review of existing literature on surgical risk assessment.
- Analysis of data from preoperative, intraoperative, and postoperative periods.
Main Results:
- Preoperative clinical risk indices (e.g., Revised Cardiac Risk Index, ASA Physical Status) and online calculators provide moderate risk estimation.
- Specialized tests (e.g., cardiopulmonary exercise testing, cardiac stress testing) and novel biomarkers (e.g., troponins, natriuretic peptides) can refine preoperative risk assessment.
- Intraoperative and postoperative data, including risk indices (e.g., surgical Apgar score), hypotension, and biomarkers, further inform perioperative risk estimates.
Conclusions:
- Preoperative risk indices and calculators offer moderate accuracy in surgical risk assessment.
- Novel biomarkers, specialized testing, and postoperative indices show potential for refining risk estimates.
- Further research is needed to integrate diverse risk information sources effectively for improved patient management.
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