Laparoscopic colorectal resections: a simple predictor model and a stratification risk for conversion to open surgery

Area of Science:

• Colorectal Surgery
• Minimally Invasive Surgery
• Surgical Outcomes

Background:

• Laparoscopic surgery offers benefits that are lost upon conversion to open procedures.
• Existing predictive models for conversion lack external validation.
• Body surface area is a newly identified risk factor not currently included in these models.

Purpose of the Study:

• To develop a clinical prediction rule for conversion in laparoscopic colorectal surgery.
• To incorporate body surface area as a novel risk factor in the predictive model.

Main Methods:

• Prospective cohort study of 916 patients undergoing elective laparoscopic colorectal surgery.
• Logistic regression analysis to identify independent predictors of conversion.
• Development of a simple clinical prediction rule and internal validation using bootstrapping.

Main Results:

• The overall conversion rate was 9.9%.
• Rectal disease, large patient size, and male sex were independently associated with increased conversion risk.
• The derived prediction rule stratified patients into low (5.7%), average (11.3%), and high (27.8%) risk groups for conversion (p < 0.001).

Conclusions:

• The developed clinical rule, including body surface area, effectively stratifies conversion risk in laparoscopic colorectal surgery.
• This model can inform patients, guide case selection, and aid in evaluating surgical standards.
• External validation of this prediction rule is necessary in diverse patient populations.