Mean Arterial Pressure and Chronic Kidney Disease Progression in the CKiD Cohort
Bibliographic record
Abstract
Consensus blood pressure guidelines vary in their recommended ambulatory blood pressure targets for children with chronic kidney disease (CKD) because of limited research in this area. We analyzed longitudinal ambulatory blood pressure monitoring data from 679 children with moderate CKD enrolled in the observational CKiD (Chronic Kidney Disease in Children) cohort by time-varying mean arterial pressure (MAP) percentile categories based on the highest wake or sleep MAP percentile. Analyses were stratified by nonglomerular and glomerular diagnoses, with 3 models constructed: unadjusted, adjusted for age, sex, and race, and additional adjustment for proteinuria. The outcome of interest was time to renal replacement therapy or 50% decline in baseline renal function. We found that among children with nonglomerular CKD, MAP percentile was not associated with accelerated disease progression risk until after 4 years of follow-up at which point a high MAP (>90th percentile) was associated with a higher risk of progression to the composite end point (HR, 1.88 [CI, 1.03–3.44]). Among those with glomerular CKD, differential risk for progression began from baseline with the highest risk in those with MAP >90th percentile (HR, 3.23 [CI, 1.34–7.79]). These relationships were attenuated somewhat after adjustment for level of proteinuria, but the trend for higher MAP being associated with higher risk of progression remained significant. Thus, in children with CKD, having ambulatory wake or sleep MAP >90th percentile was associated with higher risk of kidney disease progression with the highest levels of MAP associated with the greatest risk of progression. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT00327860
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".