Performance Characteristics of a Novel Platelet Viability Assay for Heparin-Induced Thrombocytopenia
Bibliographic record
Abstract
Background: Heparin-induced thrombocytopenia (HIT) is an adverse drug reaction that causes platelet activation, leading to thrombocytopenia and a high risk of thrombosis. Platelet activation is induced by antibodies that bind to the complex of platelet factor 4 (PF4), a platelet α-granule protein, and heparin, a common blood anticoagulant. The 14C-serotonin release assay (SRA) is considered the gold standard functional assay for HIT testing due to its high sensitivity and specificity. Positive results in the SRA correlate strongly with clinical HIT; however, the SRA also requires radioactive serotonin as an endpoint marker and this limits its availability for use in diagnostic testing. In this study, we developed a platelet viability assay (PVA) using Calcein-AM, a fluorescent viability dye, as a marker to identify platelet-activating antibodies in patients with HIT. Methods: Patient sera were tested in parallel in the SRA and PVA and the results were compared and correlated for sensitivity and specificity. The SRA was performed using 14C-serotonin-labelled donor target platelets (350,000/µL; 75µL per test) incubated with 20µL of test serum and 5µL of heparin (0.1 U/mL).1 Following the reaction (60 minutes, room temperature), 100 µL of 5mM PBS/EDTA was added and the amount of 14C-serotonin released in the supernatant was measured. In our novel PVA, following the initial incubations with serum and heparin, platelets were stained with 2 µl of Calcein-AM (2 µg/mL final concentration) for 30 minutes at 37⁰C. 150 µl of 5mM PBS/EDTA was added and the fluorescence intensity of platelets was measured via flow cytometry (488nm excitation; Cytoflex). Platelet viability was reported as the percentage of platelets that maintained Calcein-AM fluorescence intensity relative to control. In total, 35 SRA-positive and 43 SRA-negative sera were tested. Results: In the PVA, the percentage of viable platelets were 91±4% for sera that were negative in the SRA (n=43); and 39±14% for sera that were positive in the SRA (n=35) (figure 1). Using a cut off defined as two-standard deviations from the mean of negative sera, sensitivity of the PVA was 100% and specificity was 93%. These results were consistent across different donor platelets. An inverse linear correlation (R=0.93) was observed between platelet viability in the PVA and serotonin release in the SRA. Conclusions:The PVA can accurately differentiate SRA positive from SRA negative HIT sera. Advantages of the PVA are that the assay is flow-cytometry based, and uses an inexpensive, easy to handle and a readily available endpoint marker for measuring platelet activation. Further prospective studies are needed to optimize the assay to develop a useful functional assay for HIT diagnosis. Disclosures Arnold: Dova: Consultancy; Amgen: Consultancy, Research Funding; Rigel: Consultancy; Bristol Myers Squibb: Research Funding; Novartis: Consultancy, Research Funding; UCB: Consultancy.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".