An Algorithm for “Indeterminate” Test Results in the Platelet Serotonin Release Assay for Heparin-Induced Thrombocytopenia (HIT).
Notice bibliographique
Résumé
Abstract HIT is a prothrombotic complication of heparin caused by antibodies that recognize complexes of platelet factor 4 (PF4) bound to heparin or certain other polyanions. These antibodies produce thrombocytopenia by activating platelets via their Fc receptors. A “functional” (platelet activation) assay that utilizes washed platelets, known as the 14C-serotonin release assay (SRA), has the highest reported sensitivity-specificity tradeoff for detecting clinically-significant antibodies that recognize PF4/heparin complexes (“HIT antibodies”). Platelet activation (% serotonin release) induced by patient (or control) serum is assessed under several different reaction conditions, including absence of heparin, therapeutic concentrations of unfractionated heparin (UFH, 0.1 to 0.3 U/mL) and low-molecular-weight heparin (LMWH, 0.2 U/mL), supratherapeutic concentrations of UFH (100 U/mL), and with 0.1 U/mL UFH in the presence of a platelet Fc receptor-blocking monoclonal antibody. Various technical aspects of the assay optimize test sensitivity and specificity (e.g., using heat-inactivated patient serum; washing the platelets with apyrase; resuspending the platelets in albumin-free Tyrode’s buffer; using platelets from healthy volunteers known to react well to IgG platelet agonists, etc.). The classic HIT platelet activation profile is strong platelet activation (>50% serotonin release) in the presence of therapeutic UFH or LMWH that is inhibited by supratherapeutic heparin and the platelet Fc receptor-blocking monoclonal antibody. One drawback to the assay is that some patient sera activate platelets via the Fc receptors in a heparin-independent fashion, i.e., the platelets are activated at all heparin concentrations. This is known as an “indeterminate” reaction profile, since the presence of in vitro immune complexes (generated by the heat-inactivation process) or in vivo immune complexes or other platelet-activating factors could “mask” the presence of a true HIT antibody. We developed an algorithm for dealing with such indeterminate reaction profiles. First, we repeat the SRA using another aliquot of patient serum that is newly heat-inactivated, and also use different platelet donors to perform the assay. Often, this results in an interpretable test result. However, if the repeat SRA also gives an indeterminate result, we then use an in-house anti-PF4/heparin ELISA (that detects only IgG class antibodies) to determine whether HIT antibodies could be present. From 2091 patient serum samples tested for HIT antibodies using the SRA, we identified 199 (9.5%) samples that gave an initial indeterminate result. Using our algorithm, 81 samples subsequently gave clearly negative results, and 35 samples gave clearly positive results. However, 83 samples (representing 41.7% of the retested samples, or 4.0% of the total samples) gave a repeat indeterminate test result. When this last group of samples was tested using the anti-PF4/heparin-IgG ELISA, 53 of the samples tested negative (OD<0.45) and 30 tested positive (OD >0.45). With this algorithmic approach, about 96% of patients can be classified as negative or positive using the SRA. However, 4% of patients require the use of a complementary assay- the anti-PF4/heparin-IgG ELISA, to evaluate for the presence of HIT antibodies. Further studies are required to determine the causes of persistent indeterminate results in the SRA, which may lead to new approaches to further optimize this assay.
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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 | 0,003 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,006 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,033 | 0,016 |
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 ».