Fesoterodine Ameliorates Autonomic Dysreflexia While Improving Lower Urinary Tract Function and Urinary Incontinence-Related Quality of Life in Individuals With Spinal Cord Injury: A Prospective Phase IIa Study
Bibliographic record
Abstract
The aim of this prospective phase IIa, open-label exploratory, pre–post study was to determine the efficacy of fesoterodine (i.e., 12-week treatment period) to ameliorate autonomic dysreflexia (AD) in individuals with chronic SCI (> 1-year post-injury) at or above the sixth thoracic spinal segment, with confirmed history of AD and neurogenic detrusor overactivity (NDO). Twelve participants (four females, eight males; median age 42 years) completed this study and underwent urodynamics, 24-h ambulatory blood pressure monitoring (ABPM), and urinary incontinence-related quality of life (QoL) measures at baseline and on-treatment. The Montreal Cognitive Assessment (MoCA) and Neurogenic Bowel Dysfunction (NBD) score were used to monitor cognitive and bowel function, respectively. Compared with baseline, fesoterodine improved lower urinary tract (LUT) function, that is, increased cystometric capacity (205 vs. 475 mL, p = 0.002) and decreased maximum detrusor pressure (44 vs. 12 cm H 2 O, p = 0.009). NDO was eliminated in seven (58%) participants. Severity of AD events during urodynamics (40 vs. 27 mm Hg, p = 0.08) and 24-h ABPM (59 vs. 36 mm Hg, p = 0.05) were both reduced, yielding a large effect size ( r = -0.58). AD Frequency (14 vs. 3, p = 0.004) during 24-h ABPM was significantly reduced. Urinary incontinence-related QoL improved (68 vs. 82, p = 0.02), however, cognitive ( p = 0.2) and bowel function ( p = 0.4) did not change significantly. In conclusion, fesoterodine reduces the magnitude and frequency of AD, while improving LUT function and urinary incontinence-related QoL in individuals with chronic SCI without negatively affecting cognitive or bowel function.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".