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[外周血研究的流行病学调查]

[An epidemiological study of peripheral blood studies].

作者信息

Brink S, van Schalkwyk D J

出版信息

S Afr Med J. 1979 Aug 18;56(7):250-5.

PMID:550479
Abstract

A statistical random sample of 600 patients from the population referred to Tygerberg Hospital for peripheral blood investigations was analysed statistically with an IBM 370/158 computer. Suitable transformations were used for normalization of the data. The results of Coulter Model S investigations, platelet counts (coulter F), erythrocyte sedimentation rates, differential counts (with regard to neutrophil, lymphocyte, monocyte and eosinophil counts), age, race and sex of the patients, as well as possible associations between the day of the week and the haematological tests were investigated independently for each of the four race and sex groups, i.e. White men, White women, non-White men and non-White women. Machine sorting was used to obtain graphs representing the mean values of 12 haematological variables versus age in the four race and sex groups. Regression analysis between the different variables was done, and mean values are reported. Normal haematological limits (+/- 2 standard deviations) for the different age groups were used, and with machine processing the results were evaluated as low, normal or high in order to obtain a table for the visualization of a normal or abnormal distribution, skewness to the right or left, and percentages of abnormal values for each variable for each of the different age groups in the four race and sex groups. In this study we investigated a selected group of patients. No conclusions with regard to 'normal' values can be made, but, with the use of statistical computing of routine numerical data, an approach to epidemiology is demonstrated.

摘要

从转诊至泰格堡医院进行外周血检查的人群中,随机抽取600名患者作为统计样本,使用IBM 370/158计算机进行统计分析。采用适当的转换方法对数据进行标准化处理。针对库尔特S型血细胞分析仪的检测结果、血小板计数(库尔特F)、红细胞沉降率、分类计数(中性粒细胞、淋巴细胞、单核细胞和嗜酸性粒细胞计数)、患者的年龄、种族和性别,以及一周中的日期与血液学检查之间可能存在的关联,分别对四个种族和性别的组,即白人男性、白人女性、非白人男性和非白人女性进行了独立研究。采用机器分类法绘制四个种族和性别人群组中12项血液学变量均值随年龄变化的图表。对不同变量进行了回归分析,并报告了均值。使用不同年龄组的正常血液学界限(±2个标准差),通过机器处理将结果评估为低、正常或高,以便得到一个表格,用于直观展示四个种族和性别人群组中不同年龄组各变量的正常或异常分布、左右偏度以及异常值百分比。在本研究中,我们调查了一组选定的患者。无法得出关于“正常”值的结论,但通过对常规数值数据进行统计计算,展示了一种流行病学研究方法。

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