目的实现医学实验室质控数据的自动化管理。方法利用中文Excel2000强大的统计分析、科学运算与图表运用的能力,进行质控数据处理和M O N IC A质控图绘制。结果应用Excel软件进行质控数据处理和质控图绘制具有速度快、功能强、自动化程...目的实现医学实验室质控数据的自动化管理。方法利用中文Excel2000强大的统计分析、科学运算与图表运用的能力,进行质控数据处理和M O N IC A质控图绘制。结果应用Excel软件进行质控数据处理和质控图绘制具有速度快、功能强、自动化程度高、图表实用美观等优点。结论应用Excel软件进行质控图绘制方便、快捷、准确,效果良好,适用于相关实验室的质量管理,是现代医学实验室发展的必然趋势。展开更多
Aims Classical risk factors do not fully explain international differences in risk of coronary heart disease(CHD). We therefore measured thrombotic and inflammatory markers in a substudy of the WHO MONICA project and ...Aims Classical risk factors do not fully explain international differences in risk of coronary heart disease(CHD). We therefore measured thrombotic and inflammatory markers in a substudy of the WHO MONICA project and correlated these with CHD event rates. Methods and results We measured levels of fibrinogen(clottable and nephelometric), von Willebrand factor(vWf), tissue plasminogen activator antigen, plasminogen activator inhibitor activity, fibrin D- dimer, plasma viscosity, C- reactive protein, and total cholesterol in 12 MONICA populations(listed at the end of this paper), all but one European. Men and women aged 45- 64 years were studied from 10 countries. All samples were collected using a carefully standardized protocol, and analysed centrally. Results were available for 3996 subjects(nephelometric fibrinogen and viscosity), 2378 subjects(other thrombotic assays), and 1757 subjects(C- reactive protein and total cholesterol). Significant differences in levels of thrombotic and inflammatory factors exist in MONICA populations mainly from European countries. These differences persist after adjustment for age, smoking habit, and body mass index. Cross- sectional correlations between coronary event rates and these thrombotic/inflammatory markers were significant for vWF antigen in both sexes, nephelometric fibrinogen in men, and D- dimer in women. Conclusion In particular, vWF, nephelometric fibrinogen, and D- dimer should be examined in further research as potential risk factors which may help explain differences in coronary risk between European populations.展开更多
在卫生理化检验工作中选用适当的室内质控图,是实现检验结果准确的依据。以往使用的室内质控图,如(?)—S 质控图,(?)—R 质控图都有一个共同特点,采用未定值质控液,其(?)和 S 由各实验室自行测定。一般来说,这类质控图只能监测精密度,...在卫生理化检验工作中选用适当的室内质控图,是实现检验结果准确的依据。以往使用的室内质控图,如(?)—S 质控图,(?)—R 质控图都有一个共同特点,采用未定值质控液,其(?)和 S 由各实验室自行测定。一般来说,这类质控图只能监测精密度,不能判断准确度。MONICA 质控图能同时监测精密度和准确度。展开更多
文摘目的实现医学实验室质控数据的自动化管理。方法利用中文Excel2000强大的统计分析、科学运算与图表运用的能力,进行质控数据处理和M O N IC A质控图绘制。结果应用Excel软件进行质控数据处理和质控图绘制具有速度快、功能强、自动化程度高、图表实用美观等优点。结论应用Excel软件进行质控图绘制方便、快捷、准确,效果良好,适用于相关实验室的质量管理,是现代医学实验室发展的必然趋势。
文摘Aims Classical risk factors do not fully explain international differences in risk of coronary heart disease(CHD). We therefore measured thrombotic and inflammatory markers in a substudy of the WHO MONICA project and correlated these with CHD event rates. Methods and results We measured levels of fibrinogen(clottable and nephelometric), von Willebrand factor(vWf), tissue plasminogen activator antigen, plasminogen activator inhibitor activity, fibrin D- dimer, plasma viscosity, C- reactive protein, and total cholesterol in 12 MONICA populations(listed at the end of this paper), all but one European. Men and women aged 45- 64 years were studied from 10 countries. All samples were collected using a carefully standardized protocol, and analysed centrally. Results were available for 3996 subjects(nephelometric fibrinogen and viscosity), 2378 subjects(other thrombotic assays), and 1757 subjects(C- reactive protein and total cholesterol). Significant differences in levels of thrombotic and inflammatory factors exist in MONICA populations mainly from European countries. These differences persist after adjustment for age, smoking habit, and body mass index. Cross- sectional correlations between coronary event rates and these thrombotic/inflammatory markers were significant for vWF antigen in both sexes, nephelometric fibrinogen in men, and D- dimer in women. Conclusion In particular, vWF, nephelometric fibrinogen, and D- dimer should be examined in further research as potential risk factors which may help explain differences in coronary risk between European populations.
