Efficacy of Rezūm water vapor therapy for the treatment of catheter-dependent urinary retention
Bibliographic record
Abstract
INTRODUCTION: Urinary retention secondary to benign prostatic hyperplasia (BPH) requiring catheterization is a prevalent and morbid condition. The objective of this study was to evaluate the real-world efficacy and safety of Rezūm as the primary treatment of catheter-dependent urinary retention. METHODS: A single-center, retrospective study analyzed patients with catheter-dependent urinary retention secondary to BPH who were treated with Rezūm between April 2022 and April 2024. Standardized postoperative followup was required for inclusion. Patient demographics, medication use, volume drained at time of urinary retention, catheter-free status, complications, and postoperative International Prostate Symptom Score (IPSS) was collected. RESULTS: A total of 53 patients were included. Mean age was 73.4 years (standard deviation 9.4), and the mean Charlson comorbidity index score was 3.7. The baseline mean prostate volume was 81.7 (range 33-179) mL. Patients were catheter-dependent for an average of 225 (range 30-1821) days prior to surgical intervention. Average followup time was 10.2 months. Of the 53 patients treated, 42 (79%) patients were able to become catheter-free after treatment. Twenty-six (49%) patients failed their initial trial of void at 14 days postoperatively; 11% (n=6) of patients experienced hematuria with one admitted to hospital due to hematuria/clot retention. There were no Clavien-Dindo >3 complications. Only retention volume ≥1 L was a significant independent predictor of treatment failure on univariate and multivariate logistic regression analysis. CONCLUSIONS: Rezūm effectively treated catheter-dependent urinary retention. Given the simplicity of treatment, accessibility, and minimal anesthetic requirements, providers should consider Rezūm to minimize indwelling catheter-related morbidity for catheter-dependant patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".