Inter-Observer Variability in the Assessment of the 4Ts Score for the Diagnosis of Heparin Induced Thrombocytopenia (HIT) in Patients Undergoing Cardiac Surgery (CS).
Notice bibliographique
Résumé
Abstract Abstract 4467 Background HIT is a potentially serious complication of heparin therapy. Because of the multiple conditions potentially causing thrombocytopenia, particularly in clinical scenarios such as patients undergoing CS or admitted to intensive care units, its diagnosis is frequently not straightforward and depends on a combination of clinical suspicion and laboratory tests. The 4Ts score has been proposed as a tool to assess the pretest probability of a HIT diagnosis (as low, intermediate or high) and it comprises 4 clinical parameters: severity and timing of onset of thrombocytopenia, development of thrombosis, and the presence of alternate causes for thrombocytopenia. This score has several handicaps including the fact that the temporal profile of thrombocytopenia onset is frequently unclear, the history of previous heparin exposure is not always available, the diagnosis of new thrombosis (including extensions of previous ones) is often difficult, and the judgment about the likelihood of an alternate cause for the thrombocytopenia is entirely subjective. The clinical usefulness of a scoring system depends mainly on its robustness and reproducibility and therefore inclusion of difficult to evaluate or subjective components might compromise its clinical performance. Objectives We evaluated the inter-observer agreement for classifying the probability of HIT in a population of patients undergoing CS. Methods We conducted a retrospective study of patients admitted for cardiac surgery to our institution between January 2006 and December 2008 and in whom HIT was suspected. Clinical information including all necessary data for calculating the 4 components of the 4Ts score was collected in a standardized database which was used by 2 independent observers (blinded to serological tests results) to calculate the score and the pretest probability for HIT as low (≤3 points), intermediate (4-5 points), or high (≥6 points). Scores assigned by both observers were compared using a Wilcoxon signed ranks test and the inter-observer agreement for scores and pretest probabilities was evaluated using a Kappa statistic. 95% confidence intervals for proportions were estimated using the Wilson score method. Results 73 patients were included in the analysis. The score assigned by both observers differed in 40 cases (54.8%; 95% CI 43.4, 65.7; p=0.001). The value of the Kappa statistic for the inter-observer agreement for scores was 0.266 (95% CI 0.111, 0.421) and for pretest probabilities was 0.400 (95% CI 0.218, 0.582). Conclusions In this study, we found that the 4Ts score has an inter-observer agreement ranging between slight and moderate when applied to patients undergoing CS. The variability observed in the assessment of the score raises doubts about its usefulness when evaluating the possibility of HIT in this patient population. Limitations of this study include a relatively small sample size, inclusion of a single clinical setting, and its retrospective nature. Further studies in this and other populations are needed to assess the reproducibility of the 4Ts score. Disclosures: No relevant conflicts of interest to declare.
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 | 0,020 | 0,050 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| 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 | 0,000 |
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 ».