Predictive Value Of Markers Of Fibrinolysis and Endothelial Dysfunction In The Post Thrombotic Syndrome: A Systematic Review
Notice bibliographique
Résumé
Abstract Introduction The post thrombotic syndrome (PTS) is a chronic condition that develops in 20–40% of deep vein thrombosis (DVT) patients. While risk factors that predispose to the development of venous thromboembolism are widely known, factors that influence the development of PTS after DVT have not been well elucidated. Identification of factors to facilitate individualized risk assessment for PTS and thereby the need for prophylactic intervention is desirable. Objectives We conducted a systematic review to determine whether biomarkers of fibrinolysis and endothelial dysfunction can predict the risk of developing PTS among patients diagnosed with DVT. Methods Studies were identified by searching the electronic databases PubMed, EMBASE, Scopus and Web of science. Studies published between January 1990 and January 2013 which measured biomarker levels in blood of adult patients with DVT, and reported rates of PTS development in these patients were included. Extracted data included source and baseline characteristics of study subjects, potential confounders that could influence the result of measured marker (e.g. malignancy, use of anticoagulants), type of biomarker, time point(s) and method of measurement, criteria for PTS diagnosis, and measure of association including adjustment variables. Risk of bias was assessed using Newcastle-Ottawa Scale, with some additional quality items specific to this literature added. Results Out of 2376 records included in our primary screen of titles and abstracts, 84 articles were assessed for eligibility. Fourteen studies were included in this systematic review: 11 investigated the association between D-Dimer and PTS, three examined fibrinogen level, two measured Von Willebrand factor (VWF) antigen and activity, one study measured plasminogen activator inhibitor (PAI)-1, one assessed A Disintegrin and Metalloprotease with Thrombospondin type 1 repeats (ADAMTS)-13 antigen and activity and one study measured Factor XIII (FXIII) activity. Studies varied with regards to inclusion and exclusion criteria (e.g. first DVT, malignancy, current anticoagulant use), use of validated scales to diagnose PTS (e.g. Villalta scale or clinical, etiological, anatomical and pathological [CEAP] classification), timing of PTS assessment, time point of biomarker measurement after DVT, measurement method, and cut off value used for analysis of association between marker and outcome. Figure 1 summarizes results from 10 studies that reported on the association between D-Dimer and PTS. We used crude Odds Ratios (OR) as the summary measure, as adjusted ORs were available for only a few studies, and adjustment variables differed between studies. Furthermore, as some studies restricted their population on certain clinical characteristics, crude ORs may already reflect a certain degree of control for confounding. In general, adjusted ORs (where available) tended to attenuate the association. Studies were grouped according to the time point of D-Dimer measurement after DVT. Even after such subgrouping, we were still unable to combine the results within subgroups due to marked clinical heterogeneity. Three studies measured fibrinogen levels, two on the day of DVT diagnosis and one a median of 28 months after DVT. None found a significant association between fibrinogen level and the development of PTS. Similarly, no association with PTS was found in the studies examining ADAMTS-13 antigen level and activity, VWF antigen and activity, or PAI-1. The one available study that measured FXIII activity found it to be significantly lower in patients with PTS. Conclusions We systematically reviewed the literature on the association between markers of fibrinolysis and endothelial dysfunction and the development of PTS in patients after acute DVT. An elevated D-dimer level may be an intrinsic marker of residual thrombus and/or persistent activation of clotting or inflammatory pathways that could increase the propensity to develop PTS. Similarly, impaired fibrinolysis and endothelial dysfunction are pathophysiological components of PTS. Whether these markers might be useful to predict the development of PTS after DVT is still unclear. Larger prospective studies using validated scores to diagnose PTS, strict inclusion and exclusion criteria, and accounting for confounders in the design and analysis are needed. 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 | 0,007 | 0,040 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,010 | 0,008 |
| Bibliométrie | 0,010 | 0,012 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».