Incidence and Predictors of Complications due to Urethral Stricture in Patients Awaiting Urethroplasty
Bibliographic record
Abstract
PURPOSE: We examined the incidence and predictors of complications due to urethral stricture in patients awaiting urethroplasty. MATERIALS AND METHODS: We retrospectively reviewed the charts of patients who underwent urethroplasty from 2009 to 2013. The primary outcome was complications, defined as any unplanned interaction with the health care system due to urethral stricture during the period between the decision to perform surgery and urethroplasty. RESULTS: A total of 276 patients were identified for analysis. Median stricture length was 4.0 cm and 67.4% of strictures were in the bulbar urethra. The most common stricture etiologies were idiopathic in 47.8% of cases and traumatic in 15.9%. Overall 15.9% of patients presented with a complication with a median time to complication of 43 days. Median surgical wait time was 151 days. Complications included urinary tract infections in 56.8% of patients, acute urinary retention in 20.5%, genitourinary pain in 5.8% and catheter related issues in 15.9%. Univariate analysis suggested that catheter dependent status, number of prior endoscopic treatments, a hypospadias and/or trauma etiology, and prior urethroplasty were potential significant predictors of complications. Multivariate analysis yielded only catheter dependent status (HR 5.2, 95% CI 2.4-11.3, p <0.0001) and prior failed urethroplasty (HR 1.6, 95% CI 1.1-2.3, p = 0.03) as significantly associated with complications. CONCLUSIONS: To our knowledge our study is the first to examine and quantify the morbidity of urethroplasty wait time. Approximately 16% of patients experienced a complication while awaiting urethroplasty. The optimal wait time should be less than 43 days. Patients with prior urethroplasty and catheters at the time of the surgical decision should be prioritized as they may be more likely to experience complications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".