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Enregistrement W2534669535 · doi:10.1182/blood.v120.21.2242.2242

Correlation of ELISA Optic Density with Clinical Diagnosis of Heparin-Induced Thrombocytopenia: A Retrospective Study of 104 Patients with Positive Anti-PF4/Heparin Antibodies.

2012· article· en· W2534669535 sur OpenAlexaff
Marc-André Pearson, Normand Blais

Notice bibliographique

RevueBlood · 2012
Typearticle
Langueen
DomaineMedicine
ThématiqueHeparin-Induced Thrombocytopenia and Thrombosis
Établissements canadiensCentre Hospitalier de l’Université de Montréal
Organismes subventionnairesnon disponible
Mots-clésHeparin-induced thrombocytopeniaMedicineRetrospective cohort studyHeparinInternal medicineThrombosisComplicationAntibodySurgeryGastroenterologyImmunology

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 2242 Introduction Heparin-induced thrombocytopenia (HIT), which is characterized by thrombotic events, is a serious complication of heparin use. Its diagnosis is primarily clinical but can be supported by several laboratory tests. ELISA for anti-PF4/heparin antibodies, which is the most widely-available technique, is expressed in terms of optical density (OD) results. This test was shown to have good sensitivity but poor positive predictive value. The goal of this study is to correlate OD levels with the probability of HIT diagnosis. Contrarily to previous studies where the diagnosis of HIT was mainly based on laboratory findings, we have defined HIT based on the strength of the original diagnosis, the retrospective adjudication performed by one or two clinicians familiar with HIT diagnosis, the absence of thrombosis and the absence of a clearly identified alternative diagnosis for the thrombocytopenia. Method We conducted a retrospective study involving 104 patients with a positive ELISA for anti-PF4/heparin antibodies (Stago Asserachrom HPIA essay) between 2008 and May 2012. For all patients who were hospitalized at the CHUM, an extensive chart review was performed from the day of admission and for a period of 3 months following the positive ELISA assay. For each patient that was included in the study, the Greinacher clinical score was calculated. According to the clinical evolution and the laboratory results, a final, clinical, retrospective diagnosis was made for each patient (which was either HIT-positive or HIT-negative). The OD result was collected only after diagnosis was made. Results In our study, 28.8% of the patients were HIT-positive and 71.2% HIT-negative. There was a statistically significant difference in ELISA results between these two groups (Figure 1). Mean OD was 0.83 (SD ± 0.62) for HIT-negative patients, versus 2.15 (SD ± 0.76) for HIT-positive ones (P< 0.001). Figure 2 shows a distribution of patients according to Greinacher score and final diagnosis. In patients with low clinical probability, HIT-positive patients had statistically higher mean OD than HIT-negative patients (3.0 ± 0.14 versus 0.66 ± 0.36, P<0.01). This was also true for patients with intermediate probability score (1.88 ± 0.78 versus 0.67 ± 0.29, P<0.01). In high probability patients, there was only one patient with negative diagnosis. Patients were divided into 3 groups according to their OD result. There were 59 patients who had an OD of less than 1.0. Of these, only 2 (3.4%) had a positive diagnosis for HIT. In comparison, the percentage of HIT-positive patients was 45.5% (10 patients out of 22) for the group with OD 1.0–2.0, and 78.2% (18 out of 23) when OD was more than 2.0. A Roc curve (figure 3) showed that specificity of the test increased from 28% to 78% when the cut-off for OD was moved from baseline threshold to 1.0 unit. In this situation, the sensitivity of the test was only decreased to 93%. Conclusion This study is a clinical confirmation that ELISA OD results are directly correlated with the probability of a clinical diagnosis of HIT. An OD of less than 1.0 was shown to be rarely associated with clinical HIT. To the opposite, OD values above 2.0 are highly correlated with the diagnosis, and should be considered as strong evidence for clinical HIT. Furthermore, this study showed that OD results are useful when used in addition to the clinical scores. In fact, OD could discriminate between positive and negative diagnosis in patients with low and moderate clinical suspicion. Finally, the use of baseline threshold (which corresponds to OD of 0.4) was associated with a very low specificity and likelihood ratio for HIT diagnosis. By increasing the threshold to 1.0, the specificity was increased to 78.4% with a sensitivity of 93.3%. ELISA specificity and likelihood ratio were directly proportional to optic density level. 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 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)0,001
score de la tête « metaresearch » (Gemma)0,003
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 enseignants0,002
Score d'incertitude au seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,028
Tête enseignante GPT0,303
Écart entre enseignants0,274 · 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

Citations1
Publié2012
Routes d'admission1
Résumé présentoui

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