Multi-institutional validation of vasectomy reversal predictor.

Area of Science:

• Urology
• Reproductive Medicine
• Surgical Outcomes

Background:

• Many urologists performing vasectomy reversals lack experience with vasectomy explantations (VE).
• A need exists for a tool to identify patients who might benefit from referral to a VE specialist.
• Current practice often relies on simple duration from vasectomy cutoffs, which have limitations.

Purpose of the Study:

• To develop and validate a predictive model for identifying patients requiring vasectomy explantation (VE) during vasectomy reversal.
• To assess the model's performance across multiple institutions.

Main Methods:

• A predictive model was initially designed using time since vasectomy and patient age.
• The model's performance was prospectively tested in 33 patients and retrospectively in 312 patients across 6 additional institutions.
• Predictive accuracy was compared against a simple duration from vasectomy cutoff.

Main Results:

• The model demonstrated 84% sensitivity and 58% specificity in predicting the need for VE across 7 institutions (345 patients).
• Using a 10-year duration cutoff yielded 69% sensitivity for VE prediction.
• A 4-year cutoff offered 99% sensitivity but only 23% specificity.

Conclusions:

• The developed predictive model effectively identifies patients who may require vasectomy explantation (VE) during reversal surgery.
• The model offers improved sensitivity (84%) and specificity (58%) compared to relying solely on duration from vasectomy cutoffs.
• This tool can aid in preoperative patient selection and referral for specialized VE care.