A novel approach of platelet function test for prediction of attenuated response to clopidogrel.


Journal

Clinical hemorheology and microcirculation
ISSN: 1875-8622
Titre abrégé: Clin Hemorheol Microcirc
Pays: Netherlands
ID NLM: 9709206

Informations de publication

Date de publication:
2019
Historique:
pubmed: 4 6 2019
medline: 4 3 2020
entrez: 4 6 2019
Statut: ppublish

Résumé

Elevated mean platelet volume (MPV) and immature platelet fraction (IPF) are predictive for vascular risk. Both can be associated with residual platelet reactivity. We aimed to explore associations among platelet characteristics and responder status in stroke patients on clopidogrel. Blood samples from 46 patients and 15 healthy subjects were analyzed for platelet count, MPV, IPF, large cell ratio (LCR) and high-fluorsecent immature platelet fraction (H-IPF). As a novelty, not only whole blood, but upper and lower half blood samples after 1-hour gravity sedimentation were analyzed. Platelet aggregometry was used for the whole blood and separated samples to explore area under the curve (AUC) in patients and controls. The AUC of the whole blood showed significant differences compared to the upper and lower samples separated after 1-hour sedimentation in patients and controls (p < 0.001 and p = 0.005 respectively). Remarkably, AUC measured in the upper samples in 59% of patients on clopidogrel were exceeding the therapeutic range suggesting that ascending platelets exert aggregation in the presence of ADP. This observation was associated with increased MPV and LCR in the upper samples (both p = 0.04). Patients on clopidogrel were characterized as responders and non-responders and the percentage of H-IPF was significantly higher among non-responders compared to controls in the upper samples (p = 0.04). The modified platelet function test may help to stratify patients with high residual platelet reactivity.

Sections du résumé

BACKGROUND BACKGROUND
Elevated mean platelet volume (MPV) and immature platelet fraction (IPF) are predictive for vascular risk. Both can be associated with residual platelet reactivity. We aimed to explore associations among platelet characteristics and responder status in stroke patients on clopidogrel.
METHODS METHODS
Blood samples from 46 patients and 15 healthy subjects were analyzed for platelet count, MPV, IPF, large cell ratio (LCR) and high-fluorsecent immature platelet fraction (H-IPF). As a novelty, not only whole blood, but upper and lower half blood samples after 1-hour gravity sedimentation were analyzed. Platelet aggregometry was used for the whole blood and separated samples to explore area under the curve (AUC) in patients and controls.
RESULTS RESULTS
The AUC of the whole blood showed significant differences compared to the upper and lower samples separated after 1-hour sedimentation in patients and controls (p < 0.001 and p = 0.005 respectively). Remarkably, AUC measured in the upper samples in 59% of patients on clopidogrel were exceeding the therapeutic range suggesting that ascending platelets exert aggregation in the presence of ADP. This observation was associated with increased MPV and LCR in the upper samples (both p = 0.04). Patients on clopidogrel were characterized as responders and non-responders and the percentage of H-IPF was significantly higher among non-responders compared to controls in the upper samples (p = 0.04).
CONCLUSIONS CONCLUSIONS
The modified platelet function test may help to stratify patients with high residual platelet reactivity.

Identifiants

pubmed: 31156147
pii: CH190580
doi: 10.3233/CH-190580
pmc: PMC6971826
doi:

Substances chimiques

Platelet Aggregation Inhibitors 0
Clopidogrel A74586SNO7

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

359-369

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Auteurs

Erzsebet Ezer (E)

Department of Anesthesiology and Intensive Care, University of Pecs, Medical School, Pecs, Hungary.

Diana Schrick (D)

Department of Anesthesiology and Intensive Care, University of Pecs, Medical School, Pecs, Hungary.

Margit Tőkés-Füzesi (M)

Department of Laboratory Medicine, University of Pecs, Medical School, Pecs, Hungary.

Laszlo Szapary (L)

Department of Neurology, University of Pecs, Medical School, Pecs, Hungary.

Lajos Bogar (L)

Department of Anesthesiology and Intensive Care, University of Pecs, Medical School, Pecs, Hungary.

Tihamer Molnar (T)

Department of Anesthesiology and Intensive Care, University of Pecs, Medical School, Pecs, Hungary.

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Classifications MeSH