Performance Characteristics of a Novel Platelet Viability Assay for Heparin-Induced Thrombocytopenia
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».