To construct a nomogram model that can individually predict the risk of urine retention (POUR) after laparoscopic inguinal hernia repair (LIHR) in elderly patients.

The clinical data of elderly patients with inguinal hernia who underwent LIHR in our hospital from January 2016 to January 2020 were retrospectively analyzed. Single factor and logistic regression were used to analyze the independent risk factors of POUR in elderly patients under LIHR. Establish relevant nomogram prediction models.

Age>74 years old (OR=3.343, 95% CI: 1.293-8.639), benign prostatic hypertrophy (OR=6.293, 95% CI: 1.932-20.503), operation time≥90 min (OR=4.287, 95% CI: 1.689-10.879), postoperative use of narcotic analgesics (OR=6.560, 95% CI: 2.383-18.062), postoperative first micturition time≥5 h (OR=7.291, 95% CI: 2.779-19.128) are independent risk factors in elderly patients for POUR in LIHR (P<0.05). Based on the above 5 independent risk factors, a nomogram model was established to predict the occurrence of POUR in elderly patients undergoing LIHR, and internal verification of the model showed that the calibration curve fits the ideal curve well, and the predicted value is basically the same as the measured value. AUC is as high as 0.874 (95% CI: 0.842-0.906), indicating that the nomogram model has good predictive ability.

There are many independent risk factors for POUR in elderly patients undergoing LIHR. The nomogram model established in this study has accurate predictive ability and can provide reference for clinical screening of high-risk patients and effective clinical countermeasures.