Journal List > Korean J Urol > v.47(10) > 1069763

Park, Kwon, Kim, Park, Seo, Lee, Jung, and Seo: The Factors that Influence the Clinical Outcomes after Trial without Catheter for Acute Urinary Retention due to Benign Prostatic Hyperplasia: a Multicenter Trial

Abstract

Purpose

Benign prostatic hyperplasia (BPH) is a common problem that's experienced by aging men, and it can lead to serious outcomes, including acute urinary retention (AUR). We studied the factors that influence the clinical outcomes after trial without catheter (TWOC) for AUR due to BPH.

Materials and Methods

The medical records of all 455 BPH patients who visited the emergency room for the first time with AUR from March 2001 through February 2005 were retrospectively reviewed. The patients were divided into two groups: the success group (group I) or failure group (group II) that underwent trial without catheter. The patient's characteristics were compared between the two groups using logistic regression analysis and the chi-square test.

Results

From the 292 cases of group I and the 163 cases of group II, the multivariate analysis revealed statistically significant differences in the retention volume (p<0.01), the prostate volume (p<0.01) and the previous use of α-blockers before AUR (p<0.01).

Conclusions

The prostate volume, retention volume and previous use of α-blockers before AUR were thought to influence the clinical outcomes of TWOC for the BPH patients with AUR, and these factors should be considered in future treatment planning.

Figures and Tables

Fig. 1
Success rate of trial without catheter after acute urinary retention according to the retention urine volume, the prostate size and the previous use of α-blockers (p<0.01).
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Table 1
Clinical parameters for trial without catheter (TWOC)
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PSA: prostate-specific antigen, IPSS: International Prostatic Symptom Score, QoL: quality of life, UTI: urinary tract infection, BUN/Cr: blood urea nitrogen/creatinine, AUR: acute urinary retention, *: excluded missing value

Table 2
Multivariate analysis using the logistic regression model
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B: fixed effect regression coefficients, CI: confidence interval

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Tae Gyun Kwon
https://orcid.org/http://orcid.org/0000-0002-4390-0952

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