Risk Assessment Model for Complications in Minimally Invasive Hysterectomy: A Pilot Study

Abstract

Objective: To estimate the rate of intra-operative and postoperative complications, and to define the risk of 30-day major postoperative complications (Clavien-Dindo > 2) according to the presence of one of 10 different variables of minimally invasive (MI) hysterectomy; and then to create a risk assessment model easily applicable in clinical practice. Methods: A single center single arm retrolective study. Data of consecutive patients who have undergone MI hysterectomy for gynaecologic disorders between May 2018 and April 2021 were analyzed. Perioperative surgical outcomes, occurrence of intra- and postoperative complications, and readmissions within 30 days from surgery were registered. Univariate and multivariable analyses were performed to determine the factors associated with major postoperative complications. Results: Over the study period, 445 patients were included in the study. The majority of patients developed a minor event, while major complications (grade III) were required in 14 patients. None of the patients showed a grade IV or V complication. Univariate analysis was performed on patients who had developed intra- or postoperative complications from those who did not experience complications. Body mass index (BMI) (p-value 0.045) and surgeon’s experience (p-value 0.015) were found to be associated with a different surgery time. Regarding major postoperative complications, a statistically significant association was found for the variables: BMI (p-value 0.006), previous abdominal surgery (p-value 0.015), and surgeon’s experience (p-value 0.035) in the univariate analysis. Also in the multivariate analysis, the risk of major postoperative complications was higher in these three different variables. BMI, previous surgery, and surgeon’s experience were inserted in a reproducible risk assessment model in order to stratify the risk of major postoperative complications. Conclusions: We proposed a risk assessment model including factors not previously considered in the literature: the standardization of the surgical technique, the surgeon’s experience, the best MI approach (laparoscopy or robot-assisted), and previous abdominal surgery are crucial tools to consider. Further prospective studies with a larger population sample are needed to validate these preliminary evaluations for patients undergoing MI hysterectomy.