Using predicted 30 day mortality to plan postoperative colorectal surgery care: a cohort study.

Area of Science:

• Surgical outcomes research
• Critical care medicine
• Predictive analytics in healthcare

Background:

• Preoperative risk stratification is crucial for reducing surgical morbidity and mortality.
• Utilizing predicted 30-day mortality may optimize postoperative care planning for elective colorectal surgery patients.

Purpose of the Study:

• To evaluate if planned high-dependency unit (HDU) care, based on predicted 30-day mortality, reduces postoperative complications in elective colorectal surgery.
• To assess the association between predicted mortality and the need for emergency laparotomy or unplanned critical care admission.

Main Methods:

• Predicted 30-day postoperative mortality for 504 elective colorectal surgery patients.
• Patients with 1-3% predicted mortality were assigned to either planned HDU care (n=68) or planned ward care (n=139).
• Key outcomes measured included emergency laparotomy and unplanned critical care admission.

Main Results:

• Patients with 1-3% predicted mortality who received planned HDU care had zero instances of emergency laparotomy.
• Conversely, 10% of patients in the ward care group (n=14) required emergency laparotomy (P=0.0056).
• Unplanned critical care admissions were 16% in the ward group versus 0% in the HDU group (P=0.0002).

Conclusions:

• Planned postoperative critical care, guided by predicted mortality, is associated with a reduced rate of complications following elective colorectal surgery.
• This approach may enhance patient safety and resource allocation in surgical settings.