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Predicting and preventing colorectal surgery complications is crucial. This review covers predictive models and risk factors to optimize patient care and reduce postoperative issues.

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colorectal surgerymodifiable risk factorspostoperative complicationpreoperative risk factors

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Area of Science:

  • Colorectal Surgery
  • Surgical Outcomes
  • Patient Safety

Background:

  • Postoperative complications following colorectal surgery are frequent.
  • These complications significantly impact patient quality of life.
  • Effective prediction and prevention strategies are essential.

Purpose of the Study:

  • To review methods for predicting postoperative complications in colorectal surgery.
  • To summarize modifiable and nonmodifiable risk factors.
  • To provide guidance on preoperative patient optimization.

Main Methods:

  • Review of established predictive models: American College of Surgeons National Surgery Quality Improvement Program (ACS NSQIP) risk calculator and Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity (PISCES).
  • Analysis of nonmodifiable and modifiable risk factors relevant to colorectal surgery.
  • Synthesis of preoperative optimization strategies.

Main Results:

  • Evaluation of the practicality and usefulness of the ACS NSQIP risk calculator and PISCES.
  • Identification of key risk factors influencing postoperative complication rates.
  • Outline of actionable steps for preoperative patient optimization.

Conclusions:

  • Understanding predictive models and risk factors aids in anticipating complications.
  • Preoperative optimization is vital for minimizing adverse events.
  • This review offers practical insights for surgeons to reduce postoperative complications.