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驻点流条件下血小板黏附和聚集的计算分析

Computational analysis of platelet adhesion and aggregation under stagnation point flow conditions.

作者信息

Reininger C B, Lasser R, Rumitz M, Böger C, Schweiberer L

机构信息

Chirurgische Klinik und Poliklinik, Ludwig-Maximillians-Universität München, Germany.

出版信息

Comput Biol Med. 1999 Jan;29(1):1-18. doi: 10.1016/s0010-4825(98)00039-0.

DOI:10.1016/s0010-4825(98)00039-0
PMID:10207652
Abstract

The clinical relevance of platelet function assessment with stagnation point flow adhesio-aggregometry (SPAA) has been verified. Quantitative analysis of platelet adhesion and aggregation is possible by means of mathematical analysis of the dark-field, light intensity curves (growth curves) obtained during the SPAA experiment. We present a computational procedure for evaluating these curves, which was necessitated by, and is based on, actual clinical application. A qualitative growth curve classification, corresponding to a basic and distinct pattern of platelet deposition and characteristic of a regularly occurring clinical state is also presented.

摘要

停滞点流动黏附聚集测定法(SPAA)评估血小板功能的临床相关性已得到验证。通过对SPAA实验期间获得的暗视野光强度曲线(生长曲线)进行数学分析,可以对血小板黏附和聚集进行定量分析。我们提出了一种用于评估这些曲线的计算程序,该程序是基于实际临床应用的需求并在此基础上开发的。还提出了一种定性的生长曲线分类方法,它对应于血小板沉积的基本且独特模式,并且是一种常见临床状态的特征。

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