ABSORPTION OF ALKALIZED INTRAVESICAL LIDOCAINE IN NORMAL AND INFLAMED BLADDERS: A SIMPLE METHOD FOR IMPROVING BLADDER ANESTHESIA
Bibliographic record
Abstract
PURPOSE: Pharmacokinetic studies have shown that intravesical lidocaine is not sufficiently absorbed by human bladders to achieve significant serum levels and it only provides a superficial local anesthetic effect. We investigated the pharmacokinetics of alkalized intravesical lidocaine in healthy volunteers and patients with interstitial cystitis to determine a safe dose of buffered lidocaine, the effect of interstitial cystitis on lidocaine uptake and the acute local anesthetic effect on bladder pain in interstitial cystitis. MATERIALS AND METHODS: An initial dose finding study was done in 12 healthy volunteers using 4, 5 and 6 mg./kg. 5% lidocaine buffered with 8.4% sodium bicarbonate. Serial lidocaine levels were measured for 3 hours. Serum measurement was repeated in 12 patients with interstitial cystitis using 5 mg/kg. 5% lidocaine with sodium bicarbonate daily for 2 days. Patients rated pain before and during treatment. RESULTS: Healthy volunteers and patients with interstitial cystitis had similar lidocaine absorption profiles with a peak of 1.06 microg/ml. (range 0.66 to 1.71) and 1.3 (range 0.2 to 2.0) at about 30 minutes. Mean pain score in the interstitial cystitis group decreased from a baseline of 6.0 to 1.8 on day 1 and 0.6 on day 2. There were complaints of urethral discomfort after voiding the buffered lidocaine in each group. CONCLUSIONS: Alkalization provides safe and predictable lidocaine absorption into the bladder, as indicated by therapeutic systemic levels in healthy and inflamed bladders. Furthermore, the decrease in acute pain scores in the interstitial cystitis group indicated a concentration of local anesthetic within the bladder wall that was sufficient to block the sensory neurons within the submucosal plexus.
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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 | 0.001 |
| 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) | 0.001 | 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 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".