To explore the risk factors of wound infection after laparoscopic acute appendicitis (AA) in children, construct a nomogram model to predict postoperative incision infection and evaluate the distinction and consistency of the model.

From January 2016 to March 2021, 480 children undergoing appendectomy were selected as study subjects.They were assigned into two groups of surgical incision infection post-operation (n=65) and surgical incision non-infection post-operation (n=415). The relevant clinical data were collected.Single factor and multivariate Logistic regression analyses were employed for screening the risk factors of influencing wound infection.R software was utilized for constructing a nomogram model to predict postoperative incision infection and receiver operating characteristic (ROC) and calibration curves for verifying the discrimination and consistency of nomogram model.

The incidence of wound infection was 13.54%(65/480). Univariate analysis indicated that age, course of disease, operative duration, preoperative fever, appendiceal perforation and indwelling abdominal drainage were all influencing factors of wound infection (P<0.05); multivariate Logistic regression analysis revealed that disease course >24h, operative duration >60 min, appendiceal perforation and indwelling abdominal drainage were the risk factors for incision infection; nomogram prediction model offered excellent discrimination (area under the ROC curve was 0.816, 95%CI=0.716-0.871) and consistency (Hosmer-Lemeshow goodness of fit test showed=8.661, P=0.372).

With excellent discrimination and consistency, the above nomogram model may predict the risk of wound infection after laparoscopic AA in children.

Appendicitis/PP; Laparoscopy; Surgical Wound Infection/CO; Surgical Wound Infection/ET; Risk Factors; Forecasting; Child