T/CAGR 011-2023 Cone plate method blood viscosity detection guideline

Scope

Scope: This standard describes the entire process of standardized whole blood viscosity detection using the cone plate method, including personnel training, application form information, subject preparation, blood sample collection and anticoagulation, sample storage and transportation, sample reception, sample preparation, testing systems and requirements, quality control, test procedure verification and validation, reference ranges, result reporting, result interpretation, and post-test sample retention and disposal, etc. This standard is applicable to medical laboratories using the cone plate method to detect whole blood viscosity. Main technical content: Whole blood viscosity is the most important indicator in hematology, providing an important reference for observing the viscosity of human blood. Since the 1970s, China has carried out research on hematology, and from the late 1980s to the early 1990s, the research reached its peak in terms of popularity and medical market application. However, due to differences in detection principles and conditions, the quality of detection equipment was uneven, and there was a lack of standard materials, resulting in low accuracy and poor reproducibility of laboratory detection, which led to the gradual decline of its clinical application. The main methods of whole blood viscosity detection include the rotating method (cone plate method, cylindrical method, double-gap cylindrical method) and the capillary method (comparison method, direct measurement method - pressure sensor method), among which the cone plate method is currently the most widely used method in medical laboratories. Since the concept of hematology was first proposed in the United States in 1951, it has developed for about 70 years. With the innovation of detection technology and the emergence of standard materials and quality control materials, the quality of whole blood viscosity detection has been greatly improved. However, many factors such as sample col

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