Tailor-made proficiency curves in laparoscopic hysterectomy: enhancing patient safety using CUSUM analysis

Table 1 Association between predictors and primary outcomes in laparoscopic hysterectomy

	Blood loss (>200 mL)	Operative time (>120 min)	Adverse event (yes)
Uterus weight increase per 100 g	0.33 (P < 0.0001)	0.40 (P < 0.0001)	0.18 (P = 0.0002)
Body Mass Index increase per 1 point (kg/m²)	0.28 (P < 0.0001)	0.18 (P = 0.0841)	0.02 (P = 0.221)
Numbers of previous abdominal surgeries	0.19 (P = 0.54)	0.78 (P = 0.782)	0.48 (P = 0.048)
Two surgeons (vs. one)	−0.47 (P = 0.072)	0.64 (P = 0.028)	0.05 (P = 0.811)
LAVH vs. TLH	0.91 (P = 0.0274)	0.04 (P = 0.915)	0.33 (P = 0.306)
SLH vs. TLH	−0.14 (P = 0.482)	− 0.47 (P = 0.032)	−0.52 (P = 0.079)

Positive predictors represent higher chance of suboptimal primary outcome, and negative predictors represent lower chance of suboptimal primary outcome. Italicized items are significant predictors
LAVH laparoscopic-assisted vaginal hysterectomy, TLH total laparoscopic hysterectomy, SLH supracervical laparoscopic hysterectomy