Suppr超能文献

使用估计因子校正方法评估凝血酶原时间和活化部分凝血活酶时间混合试验。

Evaluation of prothrombin time and activated partial thromboplastin time mixing studies using an estimated factor correction method.

作者信息

Chen Jian, Phillips Bonnie, Chandler Wayne L

机构信息

aDepartment of Pathology, College of Medicine, The Ohio State University, Columbus, Ohio bDepartment of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas cDepartment of Laboratories, Seattle Children's Hospital, Seattle, Washington, USA.

出版信息

Blood Coagul Fibrinolysis. 2016 Jan;27(1):90-6. doi: 10.1097/MBC.0000000000000375.

Abstract

Mixing studies for prolonged prothrombin time (PT)/activated partial thromboplastin time (aPTT) are used to estimate whether the prolongation is due to an inhibitor or factor deficiency. We propose a new method of mixing study interpretation based on estimation of average factor level changes. Factor level vs. PT/aPTT curves were prepared for single factor, vitamin K-dependent factor, and all factor deficiencies. These curves were used to predict the factor level in the sample and the correction needed to differentiate deficiencies from inhibitors. We compared this estimated factor correction (EFC) method to normal range, percentage correction, and Rosner index. For a given factor level, multiple factor deficiencies prolonged the PT/aPTT more than single factor deficiency, necessitating different thresholds for defining correction on mixing studies. The EFC method was superior to other the correction methods, correctly identifying 38 of 39 known inhibitors, single and multiple factor deficiencies, and correctly identifying inhibitor vs. deficiency in 50 of 59 patient samples. In 99 adult patient mixing studies over 18 months, 30% showed deficiency only, 30% inhibitor only, whereas 40% showed evidence of both. The EFC method for PT/aPTT mixing study interpretation was more accurate than the comparison methods at determining deficiency versus inhibitor.

摘要

延长凝血酶原时间(PT)/活化部分凝血活酶时间(aPTT)的混合试验用于评估延长是由抑制剂还是因子缺乏引起的。我们基于平均因子水平变化的估计提出了一种新的混合试验解释方法。针对单一因子、维生素K依赖因子和所有因子缺乏情况绘制了因子水平与PT/aPTT曲线。这些曲线用于预测样本中的因子水平以及区分缺乏与抑制剂所需的校正值。我们将这种估计因子校正(EFC)方法与正常范围、百分比校正和罗斯纳指数进行了比较。对于给定的因子水平,多种因子缺乏比单一因子缺乏更能延长PT/aPTT,因此在混合试验中定义校正时有必要采用不同的阈值。EFC方法优于其他校正方法,在39个已知抑制剂、单一和多种因子缺乏情况中正确识别出38个,在59个患者样本中的50个中正确识别出抑制剂与缺乏情况。在18个月内对99例成年患者进行的混合试验中,30%仅显示缺乏,30%仅显示抑制剂,而40%显示两者都有证据。在确定缺乏与抑制剂方面,用于PT/aPTT混合试验解释的EFC方法比比较方法更准确。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验