Pediatric reference interval verification for 16 biochemical markers on the Alinity ci system in the CALIPER cohort of healthy children and adolescents
Bibliographic record
Abstract
OBJECTIVES: Special chemistry parameters are useful in the diagnosis and management of inherited disorders, liver disease, and immunopathology. Evidence-based pediatric reference intervals (RIs) are required for appropriate clinical decision-making and need to be verified as new assays are developed. This study aimed to evaluate the applicability of pediatric RIs established for biochemical markers on the ARCHITECT for use on newer Alinity assays. METHODS: An initial method validation was completed for 16 assays, including precision, linearity, and method comparison. Sera collected from approximately 100 healthy children and adolescents as part of the Canadian Laboratory Initiative on Pediatric Reference Intervals (CALIPER) were also analyzed on the Alinity c system. Percentage of results within established ARCHITECT RIs were calculated and considered verified if ≥90 % fell within established limits. New RIs were established for three electrolytes, glucose, and lactate wherein no data were previously reported. RESULTS: RIs were derived following analysis of 139-168 samples from healthy children and adolescents. None required age- and sex-partitioning. CONCLUSIONS: Herein, pediatric RIs were verified or established for 16 chemistry markers in the CALIPER cohort on Alinity assays. Findings support excellent concordance between ARCHITECT and Alinity assays with one exception (alpha-1-antitrypsin) as well as robustness of age- and sex-specific patterns originally reported by CALIPER in healthy Canadian children and adolescents.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".