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Enregistrement W2534323972 · doi:10.1182/blood.v118.21.3332.3332

Frequency and Predictors of Post-Thrombotic Syndrome in Patients with a First, Unprovoked Deep Vein Thrombosis and No Prior Primary Venous Insufficiency: Results From the REVERSE Cohort Study,

2011· article· en· W2534323972 sur OpenAlexaff
J.‐P. Galanaud, Susan R. Kahn, Michael J. Kovacs, Christina Holcroft, Marisol T. Betancourt, Philip S. Wells, David R. Anderson, Isabelle Chagnon, Grégoire Le Gal, Susan Solymoss, Mark Crowther, Arnaud Perrier, Richard H. White, Linda M. Vickars, Tim Ramsay, Marc Rodger

Notice bibliographique

RevueBlood · 2011
Typearticle
Langueen
DomaineMedicine
ThématiqueVenous Thromboembolism Diagnosis and Management
Établissements canadiensUniversity of British ColumbiaSt. Joseph’s Healthcare HamiltonSt. Joseph's HospitalMcGill University Health CentreHôpital du Sacré-Cœur de MontréalDalhousie UniversityJewish General HospitalUniversity of OttawaSt. Paul's HospitalMcMaster UniversityLondon Health Sciences Centre
Organismes subventionnairesnon disponible
Mots-clésPost-thrombotic syndromeMedicinePulmonary embolismDeep veinVenous thrombosisThrombosisUnivariate analysisCompression stockingsLogistic regressionInternal medicineCohortConcomitantSurgeryProspective cohort studyComplicationMultivariate analysis

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 3332 Background: Post thrombotic syndrome (PTS) is the most common complication of deep vein thrombosis (DVT). Symptoms and signs assessed by the Villalta PTS scale are non-specific and may have causes other than PTS, especially primary venous insufficiency. This may lead to an overestimate of patients categorized as having PTS. To date, the frequency and predictors of PTS in patients with DVT who are free of primary venous insufficiency have not been evaluated. Methods: Using data from the REVERSE prospective multicentre cohort study, we analyzed the prevalence and risk factors for PTS in patients who had a first, unprovoked, unilateral proximal DVT 5–7 months previously and did not have clinically significant primary venous insufficiency (defined as the absence of moderate or severe venous ectasia in the contralateral leg). At the time of enrolment in the REVERSE study, PTS was evaluated in the DVT-affected leg using the Villalta scale and was considered to be present if Villalta score >4. Independent predictors of PTS were assessed using a multivariable logistic regression model adjusting for age, sex, and use of compression stockings and included all variables achieving a p value ≤ 0.10 in univariate analysis. Results: Between October 2001 and March 2006, 664 patients were enrolled in the REVERSE study after having received a 5–7 month course of anticoagulant therapy. Of these, 452 had DVT with or without concomitant pulmonary embolism (PE) as the index event. Of these, 131 patients were excluded from this sub-study for the following reasons: previous secondary DVT/PE (n=24), presence of moderate or severe venous insufficiency in the contralateral leg (n=54), no PTS assessment (n=53). Among the remaining 321 sub-study patients, 48% (n=155) reported using compression stockings. The overall prevalence of PTS 5–7 months after DVT was 27.4% (n=88). The distribution of PTS severity category was as follows: mild PTS (Villalta score, 5–9) in 80% (n=70) of cases, moderate PTS (Villalta score, 10–14) in 17% (n=15) of cases and severe PTS (Villalta score ≥15 or ipsilateral leg ulcer) in 3.4% (n=3) of cases. In univariate analysis, age, sex, concomitant PE at presentation, thrombophilia (mutation of factor II or V, elevated factor VIII or hyperhomocysteinemia, presence of a lupus anticoagulant) and levels of the inflammatory marker C reactive protein or elevated ddimer before stopping anticoagulant therapy did not influence the risk of developing a PTS at 5–7 months (all p>0.10). Obesity (OR=2.3 [1.3 – 4.0]), household income <$25,000 per annum (OR= 2.8 [1.2 – 6.8]), mild venous insufficiency (OR=2.3 [1.2 – 4.4]) and ultrasonographic evidence of ipsilateral vein wall thickening or residual venous obstruction at 5–7 months (OR=1.9 [1.0 – 3.4]) were found to be predictors of PTS in the multivariable model. Poor INR control tripled the risk of PTS but the result did not reach statistical significance (OR=3.5 [0.8 – 15.8]). When restricting our analysis to the 226 patients without any signs, even mild, of contralateral venous insufficiency, the prevalence of PTS decreased slightly to 24.8% (n=56). Only obesity remained an independent predictor of PTS (OR=2.3 [1.2 – 4.4]). Poor INR control, ultrasonographic features described above and household income <$25,000 per annum also increased the risk of PTS, but results were no or no longer statistically significant (OR=2.8 [0.5 – 17.1], OR= 1.7 [0.9 – 3.4] and (OR=1.7 [0.7 – 4.5]) respectively). Conclusions: In a population of patients with a first unprovoked proximal DVT and without significant primary venous insufficiency, obesity and ultrasonographic evidence of DVT sequelae at 5–7 months after DVT independently influenced the risk of PTS. Mild clinical expression of primary venous insufficiency was also found to be a predictor of PTS and could therefore play a role in PTS pathophysiology. Nevertheless, it had a limited impact on the assessment of the overall prevalence of ipsilateral PTS according to the Villalta scale. Disclosures: Crowther: Pfizer: Consultancy, Honoraria; Leo Pharma: Consultancy, Honoraria; Bayer: Consultancy, Honoraria; BI: Honoraria; CSL Behring: Consultancy; Octaphram: Consultancy; Artisan: Consultancy.

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)0,002
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 enseignants0,004
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,010
Tête enseignante GPT0,198
Écart entre enseignants0,188 · 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

Citations0
Publié2011
Routes d'admission1
Résumé présentoui

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