Kt/V or Bicarbonate: What Is More Important for Growth in Pediatric Peritoneal Dialysis Patients?
Bibliographic record
Abstract
INTRODUCTION: Growth retardation is a common problem in pediatric patients with chronic kidney disease. It is unknown if the growth of children on peritoneal dialysis (PD) can be augmented by more dialysis. METHODS: We studied the effect of various peritoneal adequacy parameters on delta height standard deviation scores (SDSs) and growth velocity z-scores in 53 children (27 males) on PD, who underwent 2 longitudinal adequacy tests at 9-month intervals. None of the patients were on growth hormone. Intraperitoneal pressure and standard KDOQI guidelines were compared to the outcome measures delta height SDS and height velocity z-scores, using univariate and multivariate tests. RESULTS: At the time of the second PD adequacy test, their mean age was 9.2 ± 5.3 years; mean fill volume was 961 ± 254 mL/m2; and median total infused dialysate volume was 5.26 L/m2/day (range 2.03-15.32 L). The median total weekly Kt/V was 3.79 (range 0.9-9.5), and the median total creatinine clearance was 56.6 (range 7.6-133.48) L/week, higher than previous pediatric studies. The delta height SDS was a median of -0.12 (range -2 to +3.95)/year. The mean height velocity z-score was -1.6 ± 4.0. The only relationships discovered were between the delta height SDS and age, bicarbonate, and intraperitoneal pressure, but not for Kt/V or creatinine clearance. CONCLUSION: Our findings highlight the importance of normalization of bicarbonate concentrations to improve height z-score.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".