Evolution of Day-Case Holmium Laser Enucleation of the Prostate Success Rate Over Time.

To describe the evolution of day-case success rate over the years and to identify predictive factors for prolonged hospitalization or readmissions. Retrospective review of all consecutive day-case holmium laser enucleation of the prostate (HoLEP) performed by a single surgeon between January 2013 and February 2019 using a prospective database. Day-case success was defined as discharge within less than 12 hours from admission without any readmission within 48 hours after discharge. Protocol for day-case treatment included systematic bladder catheter insertion with continuous irrigation for ∼2 hours and catheter removal on postoperative day 1. Patients were reached by phone on postoperative day 1 to ensure voiding. For the descriptive statistics, an analysis of variance was performed. Univariate and multivariate analyses were used to identify risk factors. A total of 266 patients were retrieved and dispatched as follows: group 1 ( = 88) from January 2013 to July 2015, group 2 ( = 89) from August 2015 to June 2017, and group 3 ( = 89) from July 2017 to February 2019. The overall success rate was 80.5% (214/266) over the study period. It significantly improved over time from 70% in group 1 to 84% in group 2 and 87% in group 3 ( = 0.014). In the meantime, the operating time and the total energy delivered to the tissue decreased from 77 minutes in the first group to 60.4 minutes in the second group and 55.4 minutes in the third group ( < 0.001), and from 95.2 kJ in the first group to 84 kJ in the second group and 77.9 kJ in the third group ( = 0.041). On multivariate analysis, the only risk factor significantly associated with day-case failure was prostate volume greater than 90 cc (odds ratio = 2.041,  = 0.047). Day-case HoLEP is a reliable and safe procedure with a high success rate. The surgeon's experience seems to be crucial to improve perioperative outcomes, but prostate volume greater than 90 cc remains associated with higher failure rates.