Adverse Clinical Outcomes Associated With Short Stature at Dialysis Initiation: A Report of the North American Pediatric Renal Transplant Cooperative Study
Bibliographic record
Abstract
OBJECTIVE: We examined whether height less than the 1% for age (z score <-2.5) at dialysis initiation predicts adverse clinical outcomes for children with kidney failure. DESIGN: National cohort study of children initiating dialysis, followed for a minimum of 1 month to a maximum of 8 years. SETTING: Voluntary consortium of pediatric nephrology centers across the United States and Canada in the North American Pediatric Renal Transplant Cooperative Study. PATIENTS: Two thousand three hundred six patients </=21 years old initiated on dialysis between 1992 and 2000. Outcome Measures. School attendance, transplant wait listing, hospitalization rates, and survival. RESULTS: Although there were no differences in transplant wait listings, school-aged children with short stature were less likely to be attending school full-time than were their counterparts with more normal height, even if medically capable. Short-stature patients have significantly more hospital days per month of dialysis follow-up than those patients with better growth (mean: 1.92 vs 1.58; median: 0.73 vs 0.44 hospital days per month of follow-up). Cox proportional hazards regression analyses show that children with height <1% for age have a twofold higher risk of death than those with more normal height, even after controlling for patient age, race, gender, cause of end-stage renal disease, wait list status, and dialysis modality. CONCLUSIONS: Poor growth during chronic renal insufficiency leading to short stature at dialysis initiation is a marker for a more complicated clinical course for children with kidney failure. Aggressive nutritional support and early referral to a nephrologist to optimize growth may improve long-term outcomes for children with chronic kidney disease.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".