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Enregistrement W3214030030 · doi:10.1182/blood-2021-153380

Fibrinolytic Dysregulation Contributes to the Hypercoagulable State in Pulmonary Embolism Patients

2021· article· en· W3214030030 sur OpenAlexaboutno aff
Fakiha Siddiqui, Amir Darki, Emily Bontekoe, Yevgeniy Brailovsky, Omer Iqbal, Debra Hoppensteadt, Bülent Kantarcıoğlu, Alfonso Tafur, Jawed Fareed

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueVenous Thromboembolism Diagnosis and Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicinePulmonary embolismFibrinolysisCardiologyThrombusInternal medicinePlatelet activationEndothelial activationPlateletEndothelium

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: The multifactorial and complex pathophysiology of pulmonary embolism (PE) involves dysregulation of hemostatic system including fibrinolytic imbalance, endothelial compromise and generation of thrombotic mediators, along with cellular defects and hemodynamic derangement. It is estimated that 6000 cases of pulmonary embolism and DVT are reported yearly of which 1000 result in death. PE evolves from a pre-existing venous thrombus, obstructing pulmonary artery leading to pulmonary failure. The progression of clot formation results in increase in right ventricular pressure, systemic hypoperfusion, hypoxemia ischemia and eventually multi organ failure. Fibrinolytic dysregulation and generation of procoagulant mediators result in increased clot burden and lead to adverse outcomes. Profiling of the component of the fibrinolytic system for such mediators as the activators and inhibitors of fibrinolysis, vWF and cellular microparticles may provide additional insights into the pathogenesis of PE. The purpose of this study is to profile plasma samples from PE patients for various mediators of hemostatic dysregulation which contribute to the fibrinolytic dysregulation in PE patients. Material & Method: Seventy-eight patients of 18 years or older age, were included in this study through enrolment conducted in conjunction with an ongoing IRB approved project by the pulmonary embolism response team (PERT) registry. Diagnosis of PE was confirmed by computed tomography (CT), angiography or ventilation perfusion imaging. Blood samples were drawn with in 24 hours of confirmed diagnosis of acute PE in 3.2% sodium citrate tubes at the time of diagnosis, processed for platelet poor plasma and frozen. Control plasma samples were obtained from 50 healthy individuals. Both the patient and control plasma samples were analyzed for D-Dimer, PAI-1 antigen, tPA, TAFI-a, protein C, alpha-2 antiplasmin, microparticles and vWF using ELISA methods (Hypen Biomedical, Franklin, Ohio). A functional PAI-1 chromogenic substrate method and an ELISA based uPA antigen method was used (Biomedica, Halifax, Nova Scotia, Canada). Circulating levels of each of the individual biomarkers were compared to normal plasma, descriptive statistics including non-parametric Mann-Whitney t-test and spearman correlation coefficient analysis was carried out by using GraphPad Prism software. Percent Increase from the normal mean was calculated for each individual parameter. p value <0.05 was considered statistically significant. Result: In comparison to normal group, the PE patients exhibited varying levels of increase in the D-Dimer, tPA, uPA, PAI-1 antigen, PAI-1 functional, TAFI antigen, microparticles and vWF, whereas decreased levels were noted for protein C and alpha-2 antiplasmin as shown on Figure 1. D-Dimer showed the most pronounced increase (368.2-fold) followed by tPA (165.9-fold), PAI-1 antigen (3.91-fold), microparticles (2.14-fold), vWF (1.83-fold), uPA (0.5-fold), TAFI antigen (0.40-fold) and PAI-1 functional (0.34-fold). In correlation analysis, D-Dimer negatively correlated with TAFI antigen (r= -0.3106) and alpha-2 antiplasmin (r= -0.3056), functional PAI-1 levels positively correlated with tPA (r= 0.3117) and protein C (r= 0.4059), tPA negatively correlated with TAFI antigen (r= -0.4601), alpha-2 antiplasmin (r= -0.2460) and positively correlated with microparticles (r= 0.2456) , TAFI antigen positively correlated with protein C (r= 0.3612), alpha-2 antiplasmin (r= 0.3899) and negatively correlated with microparticles (r= -0.2470) whereas protein C showed a negative correlation with vWF (r= -0.2838). Conclusion: The markedly increased D-Dimer levels suggest increase clot burden in PE patients. tPA antigen is also markedly increased, whereas the uPA showed modest increase which may suggest compensatory upregulation, PAI-1 antigen levels were much higher in comparison to PAI-1 functional activity, suggesting consumption of this inhibitor. Decreased alpha-2 antiplasmin and protein C levels also suggest consumption. Increased TAFI antigen contribute to the clot resistant to fibrinolysis. Cellular consumption and endothelial dysfunction results in increased in vWF and microparticles promoting thrombogenesis. Measurement of these biomarkers may be useful in the understanding of the pathogenesis, risk stratification and clinical management of PE patients. Figure 1 Figure 1. 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)0,000
score de la tête « metaresearch » (Gemma)0,001
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 enseignants0,003
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,008
Tête enseignante GPT0,227
Écart entre enseignants0,219 · 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
Publié2021
Routes d'admission1
Résumé présentoui

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