Predictive modeling for chronic pain after ventral hernia repair

Area of Science:

• Hernia Surgery
• Pain Management
• Predictive Modeling

Background:

• Ventral hernia repair (VHR) can lead to chronic pain, but few studies predict patient outcomes.
• Identifying patients at risk for chronic pain post-VHR is crucial for effective management.

Purpose of the Study:

• To develop and validate a predictive model for chronic pain after ventral hernia repair (VHR).

Main Methods:

• Prospective study of 887 VHR patients using the Carolinas Comfort Scale (CCS) for quality of life and pain assessment.
• Logistic regression analysis identified predictors of chronic pain at 6 and 12 months postoperatively.
• Model validation included Hosmer-Lemeshow test and bootstrap analysis, with Area Under the Curve (AUC) > 70% considered accurate.

Main Results:

• 26.0% of patients reported chronic pain at 1 year post-VHR.
• Key predictors of chronic pain included preoperative pain, 1-month postoperative pain, female sex, younger age, and recurrent hernia repair.
• Older age was found to be protective against chronic pain (OR .98).

Conclusions:

• Preoperative and 1-month postoperative pain are strong indicators of chronic pain after VHR.
• A predictive model incorporating patient demographics and early pain status can identify at-risk individuals.
• This model can assist in preoperative counseling and guide postoperative pain management strategies.