Sacral neuromodulation for detrusor hyperactivity with impaired contractility
Bibliographic record
Abstract
INTRODUCTION: Detrusor hyperactivity with impaired contractility (DHIC) is a challenging condition to manage. Sacral neuromodulation (SNM) is a proven treatment modality for both the individual aspects of DHIC. To date, data reporting the outcome of SNM for DHIC are lacking. MATERIALS AND METHODS: Consecutive patients undergoing SNM for DHIC were followed prospectively, from April 2013 to October 2016. Patient demographics, bladder diaries, subjective response rates, ICIQ-OAB, and PGI-I scores were recorded. Success was defined as greater than 50% improvement in storage symptoms and a 50% improvement in voided volume or reduction of post-void residual volumes. RESULTS: Twenty patients underwent stage 1 trial of SNM for DHIC. Median age was 68.5, IQR (54.25-76.25). Thirteen (65%) patients were female. A total of 14/20 (70%) of patients had a significant treatment response, 9/20 had a response to both elements of DHIC, 4/20 patients had a response to the detrusor overactivity (DO) alone, and 1/20 had a response to the voiding component alone. A total of 12/20 (60%) patients proceeded to insertion of an IPG. At mean follow-up of 17 months, IQR (1.5-35), 11/12 (91.7%) of patients are still using the SNM for DHIC. Median PGI score is 2, IQR (2-4). SNM for DHIC resulted in statistically significant improvements in voided volume (P = 0.016), PVR (P = 0.0296), ICIQ-OAB score (P < 0.0001), and ICIQ-OAB bother score (P = 0.016) CONCLUSION: This is the first study we know of to report the results of SNM for DHIC. SNM is associated with satisfactory success rates, treating both the detrusor hyperactivity, and impaired contractility components of this condition.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 teacher head, 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".