Evaluation of Collagen-Induced Platelet Aggregation Level Score Using an Automated Coagulation Analyzer

Area of Science:

• Hematology
• Clinical Chemistry
• Biomedical Engineering

Background:

• Light-transmission aggregometry (LTA) is the standard for platelet function assessment but is time-consuming and lacks standardization.
• Automated and consistent methods are needed to monitor platelet function, especially for antiplatelet drug efficacy.
• A new parameter, collagen-induced platelet aggregation level (CPAL), was developed for automated coagulation analyzers.

Purpose of the Study:

• To develop and evaluate a new parameter, CPAL, for assessing platelet aggregation.
• To compare CPAL performance against established methods like arachidonic acid-induced maximum aggregation rate (AA-MA) and VerifyNow aspirin reaction units (ARU).
• To assess CPAL's utility in monitoring antiplatelet therapy.

Main Methods:

• CPAL was implemented on an automated coagulation analyzer, scoring 0.0-10.0 based on platelet aggregation patterns with collagen (1.0 and 5.0 µg/mL).
• Within-run precision was assessed using platelet-rich plasma (PRP) from healthy volunteers and aspirin-spiked PRP.
• Dose-response effects of aspirin and comparative studies with 62 patient PRP samples were conducted.

Main Results:

• CPAL demonstrated within-run precision with a coefficient of variation under 5%.
• Aspirin concentration influenced CPAL in a dose-dependent manner.
• CPAL showed a significant correlation with AA-MA (r = 0.70, p < 0.001) but a weak correlation with ARU (r = 0.17, p = 0.179).

Conclusions:

• CPAL exhibits acceptable performance as a new platelet aggregation scoring system.
• CPAL demonstrates good correlation with AA-MA, suggesting its potential for monitoring aspirin's effects.
• CPAL's lack of correlation with ARU indicates it may offer different information compared to VerifyNow, potentially due to sensitivity to aspirin concentration variations.