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Enregistrement W2985365762 · doi:10.1182/blood-2019-127524

Routine Double Filtration Plasmapheresis Affects Hemostatic Proteins and Prolongs Clotting Tests

2019· article· en· W2985365762 sur OpenAlexaff
Shen Chu Xie, Anthony K.C. Chan, Raimondo De Cristofaro, Alfonso Iorio, Stefano Lancellotti, Olivia Minelli, Monica Sacco, Davide Matino

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueHemophilia Treatment and Research
Établissements canadiensThrombosis and Atherosclerosis Research InstituteMcMaster University
Organismes subventionnairesnon disponible
Mots-clésMedicinePartial thromboplastin timePlasmapheresisHemostasisAntithrombinFibrinogenHemostaticsProthrombin timeInternal medicineCoagulationGastroenterologyPharmacologyHeparinImmunology

Résumé

récupéré en direct d'OpenAlex

Background : Double filtration plasmapheresis (DFPP) is a form of therapeutic plasma exchange (TPE) that removes high-molecular-weight (HMW) pathological mediators from the plasma with two filters: a plasma separator and a plasma fractionator. Relative to simple TPE, the semi-selectiveness of DFPP reduces protein loss and the need for substitution fluid. However, depending on the choice of plasma fractionator, DFPP may negatively impact hemostatic components such as HMW coagulation factors. Aim: To determine the impact of DFPP on various hemostatic parameters (i.e. FVIII activity, fibrinogen level, vWF level and activity, ADAMTS13 level and activity, protein C (PC) activity, protein S (PS) activity, antithrombin (AT) activity, prothrombin time (PT), and activated partial thromboplastin time (aPTT)). Methods: Fourteen patients undergoing weekly, bimonthly, or monthly DFPP sessions for hematologic conditions (n=11) or nervous system disorders (n=3) were recruited. Hemostatic parameters were measured immediately before and after 27 DFPP sessions (1-4 sessions/patient). The treatment volume was standardized at one plasma volume, and anticoagulation was performed with ACD-A citrate dextrose solution. EC-30W and EC-50W were used as the plasma fractionators in 4 and 23 sessions, respectively. In addition to primary data collection, we systematically searched PubMed, MEDLINE, and EMBASE for studies that investigated the impact of DFPP on hemostasis. No restriction was placed on filter choice. Results: In our cohort of 14 patients, all hemostatic changes were statistically significant. After a routine DFPP session, the level and/or activity of HMW proteins (>100kDa: FVIII, fibrinogen, vWF, ADAMTS13) were decreased more than those of low-molecular-weight (LMW) proteins (<100kDa: PC, PS, AT). Mean pre- vs post-DFPP values are reported in brackets beside the corresponding parameter. FVIII activity (99.9% s.d. 49.2% vs 54.2% s.d. 33.4%; p<0.0001) and fibrinogen level (325mg/dL s.d. 112mg/dL vs 168mg/dL s.d. 71.1mg/dL; p<0.0001) were decreased by 45 s.d. 16% and 49 s.d. 13% compared to baseline, respectively. vWF level (99.3% s.d. 57.6% vs 52.2% s.d. 34.2%; p<0.0001) and activity (90.4% s.d. 46.1% vs 51.1% s.d. 31.6%; p<0.0001) were decreased by 46 s.d. 20% and 43 s.d. 17% relative to baseline, respectively. ADAMTS13 level (556ng/mL s.d. 142ng/mL vs 204ng/mL s.d. 89.8ng/mL; p<0.0001) and activity (70.1% s.d. 13.1% vs 38.3% s.d. 14%; p<0.0001) were decreased by 63 s.d. 13% and 44 s.d. 22% compared to baseline, respectively. Contrasting the 43-63% reductions of HMW proteins from baseline, PC activity (98.9% s.d. 22.9% vs 72.3% s.d. 22.3%; p<0.0001), PS activity (64.3% s.d. 13.2% vs 45.4% s.d. 13%; p<0.0001), and AT activity (100% s.d. 18.5% vs 74.8% s.d. 19.9%; p<0.0001) were decreased by 26 s.d. 17%, 29 s.d. 15%, and 25 s.d. 16%, respectively. In terms of coagulation tests, PT expressed as an internalized normalized ratio (1.07 s.d. 0.174 vs 1.43 s.d. 0.737; p=0.0005) increased by 35 s.d. 71%, whereas PT expressed as a percentage (94.2% s.d. 22.3% vs 68.2% s.d. 14.5%; p<0.0001) decreased by 25 s.d. 16% relative to baseline. Furthermore, aPTT expressed in seconds (35s s.d. 6.63s vs 47.1s s.d. 31.9s; p=0.0074) and as a ratio (1 s.d. 0.189 vs 1.35 s.d. 0.917; p=0.008) increased by 36 s.d. 94% and 36 s.d. 95% compared to baseline, respectively. Our systematic review included 26 cohort studies, 6 case reports, and 1 randomized controlled trial. Increases in INR and aPTT following DFPP were considerably higher in previous studies, which may relate to the commonality of heparin-induced anticoagulation. The present study is the first comprehensive investigation of the impact of DFPP on hemostatic parameters with such a large sample size. It is also the first study of its nature to measure ADAMTS13-related parameters. Conclusions: Routine DFPP resulted in significant reduction across all investigated hemostatic proteins and significant prolongation of clotting tests. The activities of HMW coagulation-related proteins were decreased more than those of LMW anticoagulation-related proteins. This finding suggests that DFPP may increase overall bleeding risk, a consideration for patient safety that may be of importance in continuous DFPP treatment. Additional high quality evidence is needed to elucidate the effect of DFPP on the hemostatic system. Disclosures Matino: Sanofi: Honoraria; Sobi: Honoraria, Research Funding; Roche: Research Funding; Bayer: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Bioviiix: Honoraria.

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)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,002
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 savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,018
Tête enseignante GPT0,280
Écart entre enseignants0,262 · 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'étudeExpérimental (laboratoire)
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
Publié2019
Routes d'admission1
Résumé présentoui

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