The destruction of the lower urinary tract by ketamine abuse: a new syndrome?
Bibliographic record
Abstract
OBJECTIVE: To report the clinical spectrum seen in young abusers of street-ketamine (regular recreational abusers of street-ketamine, for its hallucinogenic effects) in Hong Kong, presenting with significant lower urinary tract symptoms (LUTS) but with no evidence of bacterial infection. PATIENTS AND METHODS: We retrospectively analysed the clinical presentations, pelvic pain and urgency/frequency scores, video-urodynamic studies, cystoscopy findings, histological features of bladder biopsies and radiological findings of 59 ketamine abusers who were referred to the urology units of Princess Margaret and Tuen Mun Hospital, Hong Kong, from March 2000 to December 2007. RESULTS: Of the 59 patients, all had moderate to severe LUTS, i.e. frequency, urgency, dysuria, urge incontinence and occasionally painful haematuria. Forty-two (71%) patients had a cystoscopy that showed various degrees of epithelial inflammation similar to that seen in chronic interstitial cystitis. All of 12 available bladder biopsies had histological features resembling those of interstitial cystitis. Urodynamically, either detrusor overactivity or decreased bladder compliance with or without vesico-ureteric reflux was detected to some degree in all of 47 patients. Thirty patients (51%) had unilateral or bilateral hydronephrosis on renal ultrasonography, and four (7%) showed features suggestive of papillary necrosis on radiological imaging. Eight patients had a raised serum creatinine level. CONCLUSION: A syndrome of cystitis and contracted bladder can be associated with street-ketamine abuse. Secondary renal damage can occur in severe cases which might be irreversible, rendering patients dependent on dialysis. The present data do not establish the precise cause nor the incidence. Street-ketamine abuse is not only a drug problem, but might be associated with a serious urological condition causing a significant burden to healthcare resources.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".