[Preoperative assessment and optimization].

Area of Science:

• Surgical outcomes research
• Patient risk stratification

Background:

• Accurate identification of patients at high risk for post-operative complications is essential across all surgical disciplines.
• Existing scoring systems primarily assess overall mortality risk, but predicting specific medical complications requires further evaluation.

Purpose of the Study:

• To highlight the importance of identifying high-risk surgical patients.
• To discuss the role of preoperative functional tests and biochemical markers in predicting post-operative complications.
• To explore optimization strategies for reducing surgical morbidity and mortality.

Main Methods:

• Review of existing literature on risk assessment and patient optimization in surgery.
• Analysis of the utility of preoperative functional tests and biochemical markers.
• Examination of optimization strategies including medical interventions, anesthesiology, and team communication.

Main Results:

• Preoperative functional tests and biochemical risk markers are effective in predicting post-operative medical complications and mortality.
• Optimization strategies, including medical interventions and improved anesthesiological care, can reduce patient morbidity.
• Enhanced communication within the surgical team is a key component of effective patient optimization.

Conclusions:

• Early identification and risk stratification of surgical patients are critical for improving outcomes.
• A multimodal approach combining objective risk assessment with targeted optimization strategies is recommended.
• Interdisciplinary collaboration and communication are vital for successful surgical patient management.