Persistent Lower Urinary Tract Symptoms Post Trans Urethral Resection of Prostate: Does the Preoperative Symptoms Duration Have a Predictive Role

Document Type : Case Series

Authors

1 Department of Urology, Faculty of Medicine for Boys, Al-Azhar University, Cairo, Egypt

2 Professor of urology; faculty of medicine; Al-Azhar University (Cairo)

3 Lecturer of urology; faculty of medicine; Al-Azhar University (Cairo)

https://doi.org/10.21608/aimj.2025.446505

Abstract

Abstract
Background: This study investigates whether the duration of preoperative lower urinary tract symptoms (LUTS) predicts their persistence following transurethral resection of the prostate (TURP).
Patients and Methods: A retrospective observational study was conducted on 131 patients who underwent TURP between March 2020 and December 2023, with a minimum follow-up of six months. Patients were categorized into two groups: those with persistent LUTS (P-LUTS) and those without (NP-LUTS). Baseline demographics, clinical characteristics, uroflowmetry parameters, and perioperative data were analyzed. Univariate and multivariate logistic regression models were applied to identify predictors of persistent LUTS.
Results: Patients in the P-LUTS group had significantly shorter preoperative symptom duration than those in the NP-LUTS group (35.8 ± 14.5 vs. 45.9 ± 23.8 months, p = 0.017). Higher IPSS storage sub-scores (OR: 1.362, 95% CI: 1.024–1.811, p = 0.034) and increased Qmax (OR: 1.531, 95% CI: 1.138–2.061, p = 0.005) were identified as independent predictors of persistent LUTS. ROC curve analysis showed that an IPSS-storage subscore threshold of 7.0 had a sensitivity of 71.4% and a specificity of 46.8% (AUC: 0.636), while a Qmax threshold of 9.0 mL/sec had a sensitivity of 40.0% and a specificity of 95.3% (AUC: 0.660).
Conclusion: The preoperative LUTS duration is not associated with a higher likelihood of persistent symptoms post-TURP. Preoperative IPSS-storage subscore and Qmax may serve as valuable predictors of postoperative symptom persistence. These findings can aid in patient selection and counseling to optimize surgical outcomes.

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