Short-term postnatal renal outcome after vesico-amniotic shunting in boys with posterior urethral valves diagnosed prenatally
Bibliographic record
Abstract
Introduction The most common interventions in lower urinary tract obstruction are vesico-amniotic shunting (VAS) and serial amnioinfusions; however, their outcome remains uncertain. The aim of the study was to assess the kidney function as well as clinical complications in boys at the age of 6 months with posterior urethral valves (PUV), who underwent prenatal VAS and survived the neonatal period. Material and methods The study group consisted of 14 boys and the mean time of the VAS procedure was 22 weeks of gestational age (GA). Children were born in 34 GA (29–39) with average birth weight of 2860 g. Four fetuses needed amnioinfusion. In the study we assessed physical development, prevalence and aetiology of urinary tract infections (UTIs), number of hospitalizations, estimated glomerular filtration rate, presence of hypertension, albuminuria, proteinuria and acidosis. Results Average body weight at 6 months of life was 7.2 kg. 86% of children had at least one UTI; the same percentage were given antibacterial prophylaxis. 36% underwent urinary diversion. Median number of hospitalizations was 4. One patient required chronic renal replacement therapy, and one needed a short course of peritoneal dialysis. Median serum creatinine level was 0.65 mg/dl with estimated glomerular filtration rate (eGFR) 50.6 ml/min/1.73 m2. Average serum cystatin C level was 1.50 mg/l with eGFR 48.5 ml/min/1.73 m2. 43% developed acidosis. 71% had elevated albuminuria with a median urine albumin-to-creatinine ratio of 581.64 mg/g. 28.5% had overt proteinuria. Conclusions Growth at the age of 6 month of infants with PUV after prenatal VAS was barely satisfactory. More than half had impaired kidney function, but the need for renal replacement therapy was uncommon.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".