Validation of a single tube 3‐colour immature red blood cell screening assay for the detection and enumeration of small, medium and large paroxysmal nocturnal haemoglobinuria clones by flow cytometry
Bibliographic record
Abstract
Abstract Introduction The reliable diagnosis of paroxysmal nocturnal haemoglobinuria (PNH) by flow cytometry is based on mandatory analysis of the erythroid, neutrophilic and monocytic lineages. In this study, we have evaluated the performance characteristics of a recently published immature red blood cell (iRBC) assay as a potential screening test for PNH by flow cytometry. Methods Intra‐ and inter‐assay imprecision were determined in five replicates of small, medium and large PNH iRBC clones. Analytical and functional sensitivity was assessed by performing spiking tests for five replicates. Thirty healthy donors and 441 PNH patients were tested for evaluation of clinical specificity, sensitivity, positive and negative predictive values. Results Coefficients of variation (CV) for intra‐/inter‐assay imprecision analyses were 1.31/1.50, 3.19/2.61 and 3.99/1.58 for the big, medium and small clone sizes, respectively. Absolute values (100%) were found for both clinical specificity and sensitivity as well as for both positive and negative predictive values. The CV from 5 replicate results for 10 clustered events was 15.7%. The coefficient of determination ( r 2 ), Pearson's correlation coefficient ( r ) and Bland–Altman mean bias were 0.9436/0.9234/1.7 for PNH iRBC compared to PNH neutrophils and 0.9553/0.9387/2.1 for PNH iRBCs compared to PNH monocytes. Conclusion Our results confirm very good performance characteristics, high analytical and functional sensitivity, absolute clinical specificity and sensitivity as well as favourable correlation between PNH iRBCs and both PNH neutrophils and monocytes, suggesting that this cost‐effective 3‐colour iRBC assay can be used as a reliable screening test for evaluation of small, medium and large PNH clones by flow cytometry.
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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 | 0.001 | 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".