Growth in Very Young Children Undergoing Chronic Peritoneal Dialysis
Bibliographic record
Abstract
Very young children with chronic kidney disease often have difficulty maintaining adequate nutrition, which contributes to the high prevalence of short stature in this population. Characteristics of the dialysis prescription and supplemental feeding via a nasogastric (NG) tube or gastrostomy may improve growth, but this is not well understood. Here, we analyzed data from 153 children in 18 countries who commenced chronic peritoneal dialysis at <24 months of age. From diagnosis to last observation, 57 patients were fed on demand, 54 by NG tube, and 10 by gastrostomy; 26 switched from NG to gastrostomy; and 6 returned from NG to demand feeding. North American and European centers accounted for nearly all feeding by gastrostomy. Standardized body mass index (BMI) uniformly decreased during periods of demand feeding and increased during NG and gastrostomy feeding. Changes in BMI demonstrated significant regional variation: 26% of North American children were obese and 50% of Turkish children were malnourished at last observation (P < 0.005). Body length decreased sharply during the first 6 to 12 months of life and then tended to stabilize. Time fed by gastrostomy significantly associated with higher lengths over time (P < 0.001), but adjustment for baseline length attenuated this effect. In addition, the use of biocompatible peritoneal dialysate and administration of growth hormone independently associated with improved length, even after adjusting for regional factors. In summary, growth and nutritional status vary regionally in very young children treated with chronic peritoneal dialysis. The use of gastrostomy feeding, biocompatible dialysis fluid, and growth hormone therapy associate with improved linear growth.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".