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Enregistrement W2547305506 · doi:10.1182/blood.v114.22.3995.3995

Inter-Rater Reliability of the 4Ts Scoring System for Diagnosing Heparin-Induced Thrombocytopenia in Critically Ill Patients.

2009· article· en· W2547305506 sur OpenAlexaff
Mark Crowther, Nicole Zytaruk, K Krolicki, Suzanne Duchesne, Theodore E. Warkentin, Diane Heels‐Ansdell, Jo‐Ann I. Sheppard, Stephen D. Walter, Gordon Guyatt, Deborah Cook

Notice bibliographique

RevueBlood · 2009
Typearticle
Langueen
DomaineMedicine
ThématiqueHeparin-Induced Thrombocytopenia and Thrombosis
Établissements canadiensHamilton Health SciencesSt. Joseph’s Healthcare HamiltonMcMaster UniversitySt. Joseph's Hospital
Organismes subventionnairesnon disponible
Mots-clésMedicineHeparin-induced thrombocytopeniaHeparinPre- and post-test probabilityPartial thromboplastin timeIntensive care medicineInternal medicinePlatelet

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 3995 Poster Board III-931 Heparin-induced thrombocytopenia (HIT) is commonly suspected, but rarely confirmed, in the critically ill. The lack of readily available rapid diagnostic tests makes the timely diagnosis of HIT challenging. As a result, when HIT is suspected, heparin is often stopped and an alternative anticoagulant is initiated until diagnostic test results become available. A valid scoring system that accurately predicts the likelihood of HIT would be very valuable since it would allow rapid risk stratification that then might allow treatment to be modified in patients at moderate or high risk of harboring HIT, while other strategies might be employed for those at low risk. The 4Ts scoring system has been proposed as such a classification. 4Ts classifies patients on a 4 component, 8 point linear scale. The final score is assigned to 1 of 3 categories representing low, moderate and hand high pretest probability (scores of 0 to 3, 4 to 5 and 6 or more, respectively). We describe results of a pilot study using the 4Ts scoring system within the PROTECT trial (a 3650 patient randomized controlled trial comparing low molecular weight with unfractionated heparin for primary prevention of venous thromboembolism (VTE) in medical-surgical ICU patients). As per the PROTECT protocol, patients are evaluated for HIT if their platelet count falls more than 50% from their initial platelet count (study day 1), if their platelet count falls to less than 50 × 109/l, if VTE occurs, or if HIT is clinically suspected. As of August 6th, 2009, 2657 patients had been enrolled in PROTECT, of whom 523 (19.7%) met criteria for investigation of HIT (170 due to a platelet count fall; 106 due to a platelet count of less than 50×109/l; 343 due to VTE; and 39 due to clinical suspicion (categories not mutually exclusive)). All suspected cases of HIT are to be evaluated using the serotonin release assay (SRA), with HIT confirmed if the HIT test is positive, or HIT refuted if the SRA is negative. To evaluate the 4Ts score, patients are adjudicated independently by 2 experts blinded to each other's scores (MC, hematologist and DC, intensivist). The adjudication occurs in 2 stages: in Stage 1 the clinical case is reviewed and a 4Ts score assigned, masked to SRA testing; in Stage 2 the presence or absence of HIT is ascribed based on review of the patient's laboratory data. Discordant cases are then discussed and consensus achieved. To August 6th, 2009 100 cases have been adjudicated and consensus achieved. Stage 1 raw agreement on the 4Ts score was poor (raw agreement 47.0%). Stage 1 agreement on risk category (low, moderate or high) was better (77%, weighted kappa 0.36 (0.10 to 0.61) reflecting fair agreement). Discordance was largely due to differences in the timing component of the 4Ts score (raw agreement 77%) and the “other” potential cause of thrombocytopenia component (raw agreement 61%). Agreement for the degree of thrombocytopenia and thrombosis components was excellent (92% and 93%, respectively). We conclude that inter-rater reliability of the 4Ts score in medical-surgical ICU patients is fair overall. Additional calibration work or modification of the scoring system is required if 4Ts is to be widely used to accurately predict HIT in critically ill patients. This poster is p Disclosures: Crowther: Sanofi-Aventis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Leo Pharma: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Honoraria, Research Funding; Bayer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; BI: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Artisan Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,033
score de la tête « metaresearch » (Gemma)0,069
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,033
Score d'incertitude au seuil0,172

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0330,069
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

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.

Tête enseignante Opus0,025
Tête enseignante GPT0,284
Écart entre enseignants0,259 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2009
Routes d'admission1
Résumé présentoui

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