A MODIFIED BIOFEEDBACK PROGRAM FOR CHILDREN WITH DETRUSOR-SPHINCTER DYSSYNERGIA: 5-YEAR EXPERIENCE
Bibliographic record
Abstract
PURPOSE: We reviewed our 5-year experience with a modified 4 to 6-session biofeedback program combining noninvasive urodynamic approaches with various psychological techniques, including externalizing the voiding problem, empowerment and praise, to treat children with detrusor-sphincter dyssynergia. MATERIALS AND METHODS: Biofeedback was performed with a urodynamics processor that enables simultaneous recording of urine flow and electromyography, and visual display of flow/electromyography activity. Initially normal and abnormal voiding were explained in a unique way and the children observed relaxation and contraction of the pelvic floor muscles while visualizing the electromyography monitor. The bladders were filled naturally and surface electrodes were placed. Psychological strategies were used to engage and motivate the children to achieve maximal cooperation. The children voided while attempting relaxation and post-void residual urine volume was measured by bladder scan. Special and specific praise was provided for progress and increasing self-esteem. Patients returned monthly to review these concepts and practice voiding. RESULTS: Of 87 children 77 completed the program, including 7 boys and 70 girls 3 to 17 years old (mean age 7.8) who required an average of 4.7 sessions (median 4). Results were achieved within 6 sessions in 82% of cases. Of the 77 children 59 (76%) had recurrent urinary tract infections, 38 (49%) had associated bladder instability, 19 (24%) had vesicoureteral reflux and 44 (58%) had constipation. Subjectively 47 patients (61%) reported pronounced improvement in urinary symptoms, while another 24 (32%) reported moderate improvement after biofeedback training. Objectively 47 children (61%) had normal flow with minimal electromyography activity during voiding and a normal post-void residual urine of less than 20% voided volume (p <0.002). In 28 cases (36%) flow studies improved (p <0.03) but post-void residual urine remained elevated. Vesicoureteral reflux resolved in 9 cases after biofeedback training. This approach was equally successful in children in all age groups. Those with more than a 2-year history of symptoms, poor bladder emptying and severe constipation had only moderate improvement. CONCLUSIONS: The modified biofeedback program including appropriate explanations and psychological approaches appeared effective for treating 92% of children with detrusor-sphincter dyssynergia. It is less invasive and requires less time than traditional methods, and patients are more compliant with treatment.
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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 | 0.000 | 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) | 0.000 | 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".