Pitfalls of Clinical Diagnosis Strategies for Heparin-Induced Thrombocytopenia (HIT) After Cardiac Surgery (CS).
Notice bibliographique
Résumé
Abstract Abstract 3516 Poster Board III-453 Background HIT is an infrequent but potentially serious complication of heparin therapy. Its diagnosis is complex and depends on a combination of clinical suspicion and laboratory confirmation through ELISA and functional tests such as the serotonin release assay (SRA). The 4Ts score comprises 4 clinical parameters (severity and timing of onset of thrombocytopenia, development of thrombosis, and clinician's appraisal of the likelihood of alternate causes for thrombocytopenia) and has been proposed to predict the probability of HIT in patients deemed to be at risk. However, the validity of the 4Ts score in patients undergoing cardiac surgery (CS) is questionable considering the numerous other factors that predispose such patients to thrombocytopenia and thrombosis. In addition, in CS patients the HIT ELISA assay has been reported to have 25 - 50% false positive results making it less useful. Objectives To determine the usefulness of the 4T score in the post cardiac surgical population and the value of the HIT ELISA optical density for predicting HIT. Methods Retrospective case-control study of patients admitted for cardiac surgery to the London Health Sciences Centre between January 2006 and December 2008 and for whom a HIT ELISA assay was requested. Patients with an equivocal or positive ELISA test were tested by SRA which considered the gold standard. Information collected included clinical variables related to the surgery and post-operative period, calculated 4T scores, ELISA optical density (OD) and SRA results. Categorical variables were compared using chi2 or Fisher's exact tests as appropriate. Continuous variables were compared using a Mann-Whitney U test. Covariates achieving a p value ≤0.1 in univariate analysis and the components of the 4Ts score were incorporated in logistic regression models using stepwise forward selection. Finally, we constructed a Receiver Operating Characteristic (ROC) curve for the ELISA OD. Results 73 patients were included in the analysis. Results of the univariate analysis are shown in the table. On regression analysis only the ELISA optical density (per each OD arbitrary unit increase) was correlated with a diagnosis of HIT (OR 37.266; 95% CI 2.342-593.013; p=0.010). For the ELISA OD the area under the ROC curve was 0.990 (SE 0.013) (Figure). A cutoff value for the OD of 0.475 had a Sensitivity of 1, a specificity of 0.9, a positive likelihood ratio (LR) of 10 and a negative LR of 0.00. Assuming a prevalence proportion of 0.082 the posterior probability of HIT if the ELISA has an OD <0.475 is 0 (95% CI 0 – 9). On the other hand, an OD >0.92 resulted in a LR+ of 20 with a posterior probability of 64% (95% CI 35 – 80). Conclusions In this study, we found that the 4T score does not accurately predict HIT in post CS patients. Limitations of this study include a reduced sample size and its retrospective nature. Our findings suggest that in post CS patients developing thrombocytopenia between 10 and 100 × 109 or a platelet drop of 50% or more (100% of our population) a HIT ELISA with an OD < 0.475 could be used to rule out HIT. Our findings need to be confirmed in prospective studies. 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 | 0,012 | 0,051 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,005 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,002 |
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 ».