Development and Validation of a Nomogram Predicting the Probability of in Hirschsprung Children Following Surgery

Postoperative soiling is a common complication following Hirschsprung disease \[HSCR\] surgery. The aim of this study was to develop a nomogram for predicting the probability of postoperative soiling in patients aged \>1 year operated for HSCR. The investigators retrospectively analyzed HSCR patients with surgical therapy over one year of age from January 2000 and December 2019 at our department. Eligible patients were randomly categorized into the training and validation set at a ratio of 7:3. By integrating the least absolute shrinkage and selection operator \[LASSO\] and multivariable logistic regression analysis, crucial variables were determined for establishment of nomogram. And, the performance of nomogram was evaluated by C-index，area under the receiver operating characteristic curve \[ROC\], calibration curves, and decision curve analysis \[DCA\]. Meanwhile, a validation set was used to further assess the model.