1,25-Dihydroxyvitamin D Levels in Pediatric Intensive Care Units: Risk Factors and Association With Clinical Course
Bibliographic record
Abstract
CONTEXT: Multiple adult and some pediatric critical care studies have suggested that poor vitamin D status is associated with illness severity and outcome. The majority have evaluated vitamin D status through serum 25-hydroxyvitamin D [25(OH)D]. Critical illness-related organ dysfunction may result in impaired conversion of 25(OH)D to the active hormone 1,25-dihydroxyvitamin D [1,25(OH)2D]. Consequently 1,25(OH)2D levels could be an independent additive prognostic marker in the intensive care unit. OBJECTIVES: The distribution of 1,25(OH)2D levels, prevalence of low levels, investigation of risk factors, and tests for associations with markers of illness severity and outcome are reported. DESIGN, SETTING, AND PATIENTS: This was a secondary analysis of data and samples collected as part of a prospective cohort study in six Canadian pediatric intensive care units (PICUs). MAIN OUTCOME MEASURE: Admission blood 1,25(OH)2D concentrations were measured. RESULTS: The median cohort 1,25(OH)2D level was 93.3 pmol/L (interquartile range, 53.0-121.9) with 13% (95% confidence interval, 9-17) and 21% (95% confidence interval, 17-27) of patients having levels of <40 and <50 pmol/L, respectively. Low 1,25(OH)2D levels occurred more often in patients with low 25(OH)D and hepatic, renal, and parathyroid organ dysfunction. After adjustment for 25(OH)D, low 1,25(OH)2D levels were not associated with catecholamine or fluid administration, ventilation, PICU length of stay, or mortality. CONCLUSION: Critically ill children are at risk for low 1,25(OH)2D levels, particularly in the presence of established risk factors. However, the lack of association between the 1,25(OH)2D level and selected outcome measures, after controlling for 25(OH)D, does not suggest value in measuring this metabolite at the time of PICU admission.
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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".