B-037 Configuration and validation of urine oxalate open channel assay on the Roche Cobas c503
Bibliographic record
Abstract
Abstract Background Measuring urine oxalate is crucial for diagnosing hyperoxaluria, evaluating kidney stone risk, monitoring patients at risk for oxalate-related kidney injury and guiding their treatment plans. The objective of this study was to evaluate the performance characteristics of Trinity Biotech urine oxalate kit configured on a Roche cobas c503 analyzer. The validation followed Clinical Laboratory Standards Institute (CLSI) recommendations. Methods Assays parameters were modified based on reagent instructions for use recommendations where available (Trinity Biotech Product No. 591-D) to optimize the analytical performance on Roche cobas c503. Reagent preparation was modified to minimize the wastage due to dead volume requirements on the Roche cobas development channel cartridges (Cat No. 08463166190). The assay parameters were configured using the Roche cobas development channel file creator software. Precision was evaluated by running 3 replicates of 2 quality controls (QC) daily across 5 days. Correlation studies were performed by comparing Roche cobas c503 results to Roche cobas c502 (N=40) and Abbott Architect ci4100 (N=13) using patient urine samples. Linearity was assessed using a series of samples made via mixing of a concentrated high QC and water that spanned the analytical measuring range. Limit of detection (LoD) was determined by 6 replicates of a low concentration specimen. All patient samples were deidentified. Result Precision studies demonstrated acceptable performance with coefficient of variations of 1.68% and 0.72% for the low and high QC respectively. Correlation between the Roche cobas c502 and c503 was excellent (r = 0.9998, slope = 1.02, intercept = -5.90 µmol/L). An additional comparison study between Roche cobas c503 and Abbott Architect ci4100 shows an excellent correlation (r=0.9996; slope = 0.9963, intercept = 6.6219 µmol/L). Linearity studies demonstrated a linear assay up to concentrations of 2000 µmol/L. The LoD was determined to be 2.9 µmol/L. Conclusion We successfully established an assay configured on a Roche cobas c503 for urine oxalate analysis. The assay showed a robust performance and was found to be acceptable for use of patient testing.
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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 | 0.012 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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".