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

Routine Double Filtration Plasmapheresis Affects Hemostatic Proteins and Prolongs Clotting Tests

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

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsThrombosis and Atherosclerosis Research InstituteMcMaster University
Fundersnot available
KeywordsMedicinePartial thromboplastin timePlasmapheresisHemostasisAntithrombinFibrinogenHemostaticsProthrombin timeInternal medicineCoagulationGastroenterologyPharmacologyHeparinImmunology

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.280
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2019
Admission routes1
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