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Sonoclot Signature Analysis in Patients with Liver Disease and Its Correlation with Conventional Coagulation Studies

机译:肝病患者的声波图特征分析及其与常规凝血研究的相关性

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摘要

Introduction. Liver disease patients have complex hemostatic defects leading to a delicate, unstable balance between bleeding and thrombosis. Conventional tests such as PT and APTT are unable to depict these defects completely. Aims. This study aimed at analyzing the abnormal effects of liver disease on sonoclot signature by using sonoclot analyzer (which depicts the entire hemostatic pathway) and assessing the correlations between sonoclot variables and conventional coagulation tests. Material and Methods. Clinical and laboratory data from fifty inpatients of four subgroups of liver disease, including decompensated cirrhosis, chronic hepatitis, cirrhosis with HCC and acute-on-chronic liver failure were analyzed. All patients and controls were subjected to sonoclot analysis and correlated with routine coagulation parameters including platelet count, PT, APTT, fibrinogen, and D-dimer. Results. The sonoclot signatures demonstrated statistically significant abnormalities in patients with liver disease as compared to healthy controls. PT and APTT correlated positively with SONACT (P < 0.008 and <0.0015, resp.) while platelet count and fibrinogen levels depicted significant positive and negative correlations with clot rate and SONACT respectively. Conclusion. Sonoclot analysis may prove to be an efficient tool to assess coagulopathies in liver disease patients. Clot rate could emerge as a potential predictor of hypercoagulability in these patients.
机译:介绍。肝病患者具有复杂的止血缺陷,导致出血和血栓形成之间的微妙,不稳定的平衡。常规测试(如PT和APTT)无法完全描述这些缺陷。目的本研究旨在通过使用sonoclot分析仪(描绘整个止血途径)来分析肝病对sonoclot特征的异常影响,并评估sonoclot变量与常规凝血试验之间的相关性。材料与方法。分析了来自肝病四个亚组的五十名住院患者的临床和实验室数据,包括失代偿性肝硬化,慢性肝炎,HCC肝硬化和慢性肝功能衰竭。所有患者和对照组均进行了声波图分析,并与常规凝血参数相关,包括血小板计数,PT,APTT,纤维蛋白原和D-二聚体。结果。与健康对照组相比,sonoclot信号显示肝病患者具有统计学上的显着异常。 PT和APTT与SONACT正相关(P <0.008和<0.0015,分别),而血小板计数和纤维蛋白原水平分别与血凝率和SONACT呈显着正相关和负相关。结论。 Sonoclot分析可能被证明是评估肝病患者凝血病的有效工具。凝结率可能会成为这些患者高凝性的潜在预测指标。

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