Less Urinary Tract Infection by Earlier Removal of Bladder Catheter in Surgical Patients Receiving Thoracic Epidural Analgesia
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: It is common practice to catheterize the bladder in the presence of epidural analgesia and to leave the bladder catheter in situ to avoid postoperative urinary retention. However, bladder catheterization carries the risk for urinary tract infection (UTI). The objective of this randomized control trial was to assess whether the incidence of UTI will differ among patients receiving standard care and patients who have the bladder catheterization discontinued on the morning after surgery with the epidural still functioning. METHODS: Patients at low risk for postoperative urinary retention, scheduled for thoracic and abdominal surgery and receiving continuous thoracic epidural analgesia, were randomized on the morning after surgery to 2 groups: in the early removal group (n = 105), the bladder catheter was removed on the same morning after surgery, whereas in the standard group (SG) (n = 110), the bladder catheter was removed when epidural analgesia was discontinued (3-5 days). Urinary bladder volume was assessed by ultrasound. Primary and secondary outcomes were the incidence of UTI and rate of recatheterization. RESULTS: Two hundred fifteen patients were randomized. There were 17 UTI cases in total, with 15 (14%) in the SG and 2 (2%) in the early removal group (P = 0.004). The incidence of recatheterizations was not different between the 2 groups (P = 0.09) and did not correlate with the site of epidural insertion. When matched for the types of surgery, the duration of hospital stay was longer in the patients who contracted UTI (P = 0.004). There were more patients older than 65 years in the SG. CONCLUSIONS: Leaving the bladder catheter as long as the epidural analgesia is maintained results in a higher incidence of UTI and prolonged hospital stay. Removal of the bladder catheter on the morning after surgery does not lead to higher rate of catheterizations.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".