Positive Predictive Value of Progressively Elevated D-Dimer Levels in Patients with a Suspected First Deep Vein Thrombosis.
Notice bibliographique
Résumé
Abstract Abstract 2258 Background D-dimer is nearly always increased in patients with acute venous thromboembolism (VTE) and, therefore, a low value (i.e., negative test) has high negative predictive value. A positive result indicates the need for further diagnostic testing (e.g. ultrasound imaging if deep vein thrombosis is suspected), but it is generally believed that the predictive value of a positive result is of no clinical value. While this is true if D-dimer values are dichotomized as positive or negative, D-dimer may have diagnostically useful positive predictive value when levels are markedly elevated (i.e., positive results are not considered as a single category). Objective To determine the prevalence of, and likelihood ratios for, deep vein thrombosis (DVT) associated with progressively elevated D-dimer levels in patients with a suspected first DVT. Methods We performed a retrospective analysis of D-dimer level from 1224 banked peripheral blood samples from participants enrolled at 4 of the 5 participating clinical centres in the recently competed SELECT study, which compared two diagnostic strategies in patients with a suspected first DVT. D-dimer levels were measured using the Triage® D-dimer assay. The clinical pretest probability (CPTP) was determined in all patients using the 9 point Wells score and categorized as low, moderate or high. Patients were categorized as DVT positive if DVT was diagnosed by lower limb ultrasound (US) at initial presentation or VTE was diagnosed during three months of follow-up. Patients were categorized as DVT negative if DVT was not diagnosed at initial assessment (patients with low CPTP and negative D-dimer results did not undergo US) and there was no VTE during three months of follow-up. The diagnosis or exclusion of DVT was made independently of the Triage® D-dimer measurements (a different D-dimer assay was used at presentation in the SELECT study, and D-dimer was not used to evaluate suspected VTE during the 3 month follow-up). The prevalence of DVT and likelihood ratios (LHR) for all patients, and according to CPTP (low, moderate or high), was determined for the following intervals of D-dimer level: <500ug/L, 500–1000ug/L, 1001–1500ug/L, 1501–2000ug/L, 2001–3000 ug/L, 3001–4000ug/L, 4001ug/L-5000ug/L and >5000ug/L. Results The prevalence of DVT, and associated LHR, among all patients increased steadily with rising D-dimer levels (Table 1). At values of less than 1000ug/L, the prevalence of DVT among all patients was low (0.15% for D-dimer <500ug/L and 1.2% for 500–1000ug/L). However, at levels above 1500ug/L there was a progressive increase in the prevalence from 14.3% for 1500–2000ug/L to 64.0% at levels >5000ug/L. The associated likelihood ratios for DVT also increased according to D-dimer level from 2.6 for levels of 1500–2000ug/L to 28.0 for values >5000ug/L. The prevalence of DVT was 2.6% for patients with low CPTP, 6.0% among those with moderate CPTP and 22.0% among patients with high CPTP. The increase in prevalence and associated LHR for DVT with increasing D-dimer levels was consistent across all three CPTP groups. Conclusion Increasing D-dimer levels are associated with a progressive increase in prevalence and LHR for DVT across all clinical pretest probability strata. The positive predictive value of markedly elevated D-dimer levels was high and may help to identify the subgroup of patients with an abnormal D-dimer level who require more intensive investigation after a normal imaging test. Disclosures: Bates: Trinity Biotech: Consultancy, consultation fees and in-kind support (D-dimer kits) Other. Kearon:Alere: Consultancy.
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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 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».