Laboratory Diagnostics for Thrombosis and Hemostasis Testing—Part IV
Notice bibliographique
Résumé
This is the fourth themed issue of Seminars in Thrombosis and Hemostasis (STH) focused on laboratory diagnostics. We are pleased to include two in-depth reviews covering the performance of D-dimer assays in clinical laboratories, as summarized by two external quality assessment (EQA) programs serving different parts of the world.[ 1 ] [ 2 ] D-dimer testing is non-standardized and non-harmonized but has important clinical uses for the exclusion of venous thromboembolism, diagnosis of disseminated intravascular coagulation, and provides prognostic information in serious illnesses, such as coronavirus disease 2019. Thus, the real-world performance of these assays has significant clinical implications. A separate comprehensive review by Undas then covers an important topic in both clinical laboratories and research settings—laboratory testing for congenital and acquired fibrinogen disorders.[ 3 ] The review covers the use of common coagulation tests but also discusses molecular diagnosis and complex research assays that study fibrin formation and properties of fibrin clots. In the subsequent review contributed by Jennings et al. on behalf of the EQATH organization, worldwide EQA results for thrombophilia assays are presented from testing performed on a plasma standard from the International Society on Thrombosis and Hemostasis Scientific and Standardization Committee.[ 4 ] The article provides proof of concept for pooling proficiency testing results from different EQA providers for analytes that are performed in only a few laboratories. Next, Jin et al. present an original research study comparing anti-Xa and activated partial thromboplastin time (aPTT) results on hospitalized patients, with a particular focus on results that are discordant regarding the degree of heparinization and whether discordant values may predict clinical outcomes.[ 5 ] Following this, Devreese provides an expert review on thrombosis in antiphospholipid syndrome, providing information on laboratory testing and how laboratory profiles can be used to risk-stratify patients and identify those at greatest risk of thrombotic events.[ 6 ] Favaloro et al. then present an informative review on laboratory testing for ADAMTS13 (a disintegrin and metalloprotease with thrombospondin type 1 motif, member 13) activity and also ADAMTS13 inhibitors.[ 7 ] In addition to discussion of use of ADAMTS13 testing to diagnose and manage thrombotic thrombocytopenic purpura (TTP), characterized by severe ADAMTS13 deficiency, the manuscript also discusses conditions with milder deficiencies and how disruption of the ADAMTS13–von Willebrand factor axis can create a prothrombotic milieu. Favaloro and Arunachalam next present a review of practice for factor VIII inhibitor testing from Australasian and Asia-Pacific EQA data.[ 8 ] The data are reassuring since participating laboratories are mostly correct in their ability to identify the presence or absence of a factor inhibitor. However, the between-laboratory coefficients of variation on individual samples (affecting inhibitor titer) are rather large, highlighting opportunities for improved technical performance and standardization. In a final review for this issue of STH, Ichinose provides detailed information about autoantibodies in autoimmune coagulation factor deficiencies.[ 9 ] For instance, these polyclonal antibodies can neutralize factor activity, accelerate factor clearance, or exhibit mixed features. The antibody characteristics have impacts on assays used to diagnose and monitor patients with these disorders. Finally for this issue, in a Letter to the Editor, we learn about three patients with dysfibrinogenemia and unusual comorbid conditions.[ 10 ] The submission also includes information about important differences between von Clauss versus prothrombin time (PT) derived fibrinogen assays in patients with dysfibrinogenemia and potential use of the PT derived fibrinogen assay as a surrogate for fibrinogen antigen testing in this setting. In summary, we are pleased to present this excellent issue of STH and hope readers value the content as much as we have during creation of the issue. Publication History Article published online: 08 August 2025 © 2025. Thieme. All rights reserved. Thieme Medical Publishers, Inc. 333 Seventh Avenue, 18th Floor, New York, NY 10001, USA
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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,001 |
| Bibliométrie | 0,006 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,004 |
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 ».