30-day mortality after elective colorectal surgery can reasonably be predicted

Area of Science:

• Oncology
• Surgical Outcomes
• Health Informatics

Background:

• Developing a clinically relevant and accurate risk assessment tool for colorectal cancer (CRC) patients undergoing elective resection is crucial.
• Existing methods may lack the specificity or usability required for optimal patient management.

Purpose of the Study:

• To develop a clinically relevant, accurate, and usable risk assessment scoring system specifically for patients with colorectal cancer undergoing elective resection.
• To identify independent risk factors for 30-day mortality in this patient population.

Main Methods:

• Utilized data from the American College of Surgeons Quality Improvement Program (ACS-QIP) for colorectal resections between 2006-2012.
• Identified independent risk factors for 30-day mortality using univariable and multivariable logistic regression analyses.
• Developed a points-calculator based on statistically significant mortality predictors.

Main Results:

• Analyzed 59,986 patients, with 1096 (1.8%) experiencing 30-day mortality.
• Key mortality predictors included age ≥65, American Society of Anesthesiologists (ASA) score ≥3, renal failure, disseminated cancer, hypoalbuminemia, preoperative ascites, heart failure, and poor functional status.
• The validated model (AUC 0.826) led to an eight-factor predictive score, with maximum points indicating a 96.1% mortality risk (p < 0.0001).

Conclusions:

• A simple, preoperative scoring system demonstrates good capability in predicting 30-day mortality for colorectal cancer patients.
• This tool can enhance preoperative risk assessment, patient optimization, and clinical decision-making.
• The developed scoring system offers a practical approach to improving surgical care for CRC patients.