回顾我们的根源:Wintrobe指数的80年

E. Urrechaga, S. Izquierdo, J. Escanero
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引用次数: 2

摘要

今年(2014年),我们庆祝Maxwell Myer Wintrobe博士的开创性作品80周年,这是临床实验室和医学领域最重要的贡献之一。红细胞指数继续为贫血的诊断和分类提供必要的支持。红细胞指数,如平均细胞体积、平均细胞血红蛋白浓度、平均细胞血红蛋白等,称为温特罗布指数。自从Wallace Coulter首次将电阻抗技术应用于红细胞和白细胞计数以来,血液学的自动化一直在稳步发展。从那时起,技术进步被纳入血液学分析仪,现在可以通过“简单的常规全血细胞计数”获得比以往更多的细胞信息。目前的研究开始证明,这些信息在识别几种重要医疗条件下典型发生的细胞变化方面也具有巨大的潜力——这使我们更接近使用血液学分析仪,而不仅仅是简单的细胞计数器,而是作为管理任何影响血细胞生物学的医疗条件的强大工具。提供的数据越来越多,这需要专业知识来解释以及了解参数测量的局限性。实验室科学家和临床医生都需要保持最新的血液学新参数和方法,这意味着他们之间需要更强的合作来改善临床决策。
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Looking Back To Our Roots: 80 Years of Wintrobe’s Indices
This year (2014) we are celebrating the 80th anniversary of Dr Maxwell Myer Wintrobe’s pioneer works, one of the most important contributions in clinical laboratory and medicine. Red cell indices continue to provide an essential support to the diagnosis and classification of anaemia. The erythrocyte indices, such as mean cell volume, mean cell hemoglobin concentration, and mean cell hemoglobin, are called the Wintrobe’s indices. Automation in hematology has progressed steadily since Wallace Coulter first applied electrical impedance technology to counting red cells and white cells. Technological advances being incorporated into hematology analysers since then are now allowing access to more cellular information than was ever available before through a ‘simple routine complete blood count’. Current research is beginning to demonstrate that this information also has great potential to identify cellular changes that typically occur in several important medical conditions-bringing us all one step closer to using hematology analysers as more than just simple cell counters, but instead as powerful tools for the management of any medical condition that impacts the biology of blood cells. There are increasing amounts of data provided, which require specialist knowledge to interpret as well as to understand the limitations in the measurement of the parameter. Both laboratory scientists and clinicians need to keep up-to-date with new parameters and methods in hematology, implying a stronger collaboration between them to improve clinical decision-making.
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