Analysis of risk factors of chronic postoperative inguinal pain after laparoscopic trans-abdominal preperitoneal hernia repair and construction of a nomogram prediction model
10.3760/cma.j.cn115396-20220222-00054
- VernacularTitle:腹腔镜经腹腹膜前疝修补术后慢性疼痛的危险因素分析及预测模型建立
- Author:
Weirong JIANG
1
;
Xiaobei ZHANG
;
Weigang WANG
;
Dong CAO
;
Baoshun YANG
;
Yongjiang YU
Author Information
1. 西北大学附属医院·西安市第三医院普外四科，西安 710018
- Keywords:
Hernia, inguinal;
Pain, postoperative;
Risk factors;
Laparoscopic trans-abdominal preperitoneal hernia repair;
Prediction model
- From:
International Journal of Surgery
2022;49(8):509-515,C1
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the risk factors of chronic postoperative inguinal pain for laparoscopic trans-abdominal preperitoneal hernia repair and establish a nomogram prediction model for it.Methods:The clinical data of 576 patients who underwent laparoscopic trans-abdominal preperitoneal hernia repair for inguinal pain at the First Hospital of Lanzhou University from January 2015 to December 2020 were analyzed retrospectively. According to different postoperative outcomes, patients were divided into chronic pain group ( n=54) and non-chronic pain group ( n=522), compared two groups of patients in the material, including gender, age, BMI, smoking history, history of drinking, hypertension, diabetes, chronic bronchitis, abdominal surgery history, history of inguinal hernia, hernia type, the hernial sac size, prophylactic use of antibiotics, VAS score, mesh fixation techniques, operation time, length of stay. Measurement data with normal distribution were expressed as ( ± s) and independent sample t test was used for comparison between groups. Measurement data with skewed distribution were expressed as M( Q1, Q3), and the Mann-Whitney U test was used for comparision between groups. Chi-square test was used to compare the measurement data of counting data.Multivariate logistic regression was used to analyze the independent risk factors for chronic postoperative inguinal pain. R software was used to establish the drawing of the nomogram prediction model, and the consistency index, calibration chart and area under the receiver operating characteristic curve was used to evaluate the predictive ability of the nomogram prediction model. Results:According to the results of the Logistic regression analysis, age≤45 years ( OR=2.202, 95% CI: 1.080-4.491), BMI≥24 kg/m 2 ( OR=2.231, 95% CI: 1.204-4.134), hernial sac≤5 cm ( OR=2.623, 95% CI: 1.309-5.257), recurrent hernia ( OR=2.769, 95% CI: 1.118-6.860), preoperative pain ( OR=4.121, 95% CI: 2.004-8.476), suture fixation ( OR=2.204, 95% CI: 1.151-4.219)and Postoperative acute pain (VAS>3) ( OR=5.814, 95% CI: 2.532-13.350) were independent risk factors for chronic postoperative inguinal pain ( P<0.05). Based upon the above independent risk factors, the nomogram prediction model was established and verified. The area under the curve of the nomogram prediction model was 0.779 (95% CI: 0.718-0.840, P<0.01). After internal verification, the concordance index value of the prediction model was 0.779. Conclusion:age≤45 years, BMI ≥24 kg/m 2, hernial sac≤5 cm, recurrent hernia, preoperative pain, suture fixation and Postoperative acute pain (VAS>3) are independent risk factors for chronic postoperative inguinal pain for laparoscopic trans-abdominal preperitoneal hernia repair, the nomogram prediction model has a good accuracy and discrimination with a high value of clinical application.
