The purple urine bag syndrome: a visually striking side effect of a highly alkaline urinary tract infection
Bibliographic record
Abstract
T he purple urine bag is a visually striking and rarely seen side effect of a urinary tract infection.The change in colour is purely within the bag itself; interestingly, the urine itself remains unchanged in colour.Our patient, an 82-year-old female, had a long-standing supra pubic catheter (SPC) in situ; she presented for her routine 6-week SPC change.During this visit, the colour change of the urine drainage bag was noted.The change in colour was consistent throughout the bag and extended to the urinary catheter, although not in the same shade of deep purple noted in the drainage bag (Fig. 1).The urine from the bag contained sediment which was sent for analysis.The urine contained within the purple drainage bag was not purple on visual examination (Fig. 2), although the urine collected following the re-insertion of a new SPC was noticeably lighter in colour.There was no hindrance to the removal of the old SPC, although the patient complained of mild discomfort upon removal.The new SPC was inserted without difficulty.Our patient denied any recent history of nausea, fevers, sweats, chills or vomiting.The patient also denied any recent changes to her medication regimen or unusual dietary changes.Urinary dipstick analysis indicated the presence of large leucocytes, positive nitrates and a pH of 8.5.Following
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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 | 0.000 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".