Renal outcomes of children born with posterior urethral valves at a tertiary center: A 15-year retrospective review
Bibliographic record
Abstract
INTRODUCTION: Posterior urethral valves (PUVs) is a congenital condition in which an obstruction in the urethra prevents drainage of urine from the bladder in males, with up to 60% of children diagnosed developing chronic kidney disease (CKD). The primary aim of this study was to identify novel factors that may predict development of CKD and end-stage real disease (ESRD ) in children with PUVs to potentially address modifiable factors and delay progression. The secondary aim was to compare rates of catheterization and incontinence between our patients and other case series to provide information to parents about long-term bladder outcomes. METHODS: A single-center, retrospective cohort study was performed of all children referred to our multidisciplinary clinic for PUV diagnosis between 2005 and 2019. Univariable associations of different variables with the composite outcome CKD or ESRD were evaluated. RESULTS: Thirty of 46 patients (65%) developed CKD, with the majority (40%) being stage 2 CKD (n=12). Seven of 30 patients (23%) developed ESRD requiring renal replacement therapy. Fourteen of 26 (30%) required clean intermittent catheterization (CIC) initiation, with a median CIC initiation age of 4.3 years. Creatinine nadir post-valve ablation, oligohydramnios, and initiation of CIC are significant predictors of CKD development. CONCLUSIONS: This review reiterates that children born with PUVs have a high morbidity rate, with a high proportion developing CKD. Using a multidisciplinary approach to PUV patient care allows for better family education, early intervention of bladder dysfunction, and possibly better long-term preservation of renal 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".