The rising burden of acute urologic disease at an urban, academic hospital network
Bibliographic record
Abstract
INTRODUCTION: Urological presentations to the emergency department (ED) can represent a significant burden of disease. We aimed to evaluate trends in the incidence, management, and followup of urological presentations to the ED at an urban, academic, tertiarycare hospital network over a 10-year period. METHODS: A retrospective cohort study was conducted to include all patients presenting with renal colic (RC), gross hematuria (GH), or acute urinary retention (AUR) to EDs in the University Health Network in 2008-2009 and 2018-2019. Patient demographics and outcomes were compared between these two periods and between urological presentations. Multilevel regression analyses identified predictors of in-patient admission, return to the ED, and clinic wait time. RESULTS: A total of 2751 patients and 3510 ED visits were included (991 visits from 2008-09 and 2519 visits from 2018-19). Over time, increases were observed in all three presentations, largely driven by an almost five-fold increase in RC presentations. Multilevel regression analyses showed that older patients were more likely to be admitted from the ED, while age, 2018-19 era, and residence within the "downtown core" independently predicted return to the ED within 30 days of initial visit. Time to be seen in urology clinic increased over time for the entire cohort, and 14.4% of clinic visits were preceded by multiple ED visits. CONCLUSIONS: The incidence of acute urological presentations increased significantly over a 10-year period at a tertiary-care hospital network. These findings demonstrate an increasing burden of acute urological disease that is outpacing population growth and straining available resources.
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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 | 0.001 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".