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成人和老年人的血液计数:定义生命 80 多年的正常值。

Blood counts in adult and elderly individuals: defining the norms over eight decades of life.

机构信息

Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany.

Center of Medical Information and Communication Technology, University Hospital Erlangen, Erlangen, Germany.

出版信息

Br J Haematol. 2020 May;189(4):777-789. doi: 10.1111/bjh.16430. Epub 2020 Feb 6.

DOI:10.1111/bjh.16430
PMID:32030733
Abstract

The blood count is one of the most common tests used for health assessment. In elderly individuals, selection of a 'healthy' reference population for laboratory assessment is difficult due to the high prevalence of chronic morbidities, leading to uncertainty regarding appropriate reference intervals. In particular, age-specific lower haemoglobin reference limits to define anaemia are controversial. Here, we applied a data mining approach to a large dataset of 3 029 904 clinical routine samples to establish blood count reference intervals. We excluded samples from units/specialists with a high proportion of abnormal blood counts, samples from patients with an unknown or decreased estimated glomerular filtration rate, and samples with abnormal test results in selected other analytes. After sample exclusion, 566 775-572 060 samples from different individuals aged 20-100 years were available for analysis. We then used an established statistical algorithm to determine the distribution of physiological test results and calculated age- and sex-specific reference intervals. Our results show substantial trends with age in haematology analytes' reference intervals. Most notably, haemoglobin and red cell counts decline in men with advanced age, accompanied by increases in red cell volume in both sexes. These findings were confirmed in an independent dataset, and suggest an at least partly physiologic cause.

摘要

血常规检查是健康评估中最常用的检查之一。在老年人中,由于慢性疾病的高发,选择“健康”的参考人群进行实验室评估非常困难,这导致了参考区间的不确定性。特别是,年龄特异性的较低血红蛋白参考下限来定义贫血一直存在争议。在这里,我们应用数据挖掘方法对包含 3 029 904 例临床常规样本的大型数据集进行分析,以建立血常规参考区间。我们排除了来自异常血常规比例较高的科室/医生、肾小球滤过率未知或降低的患者以及其他选定分析物测试结果异常的样本。在排除样本后,我们获得了来自不同年龄段(20-100 岁)的 566 775-572 060 例个体的样本进行分析。然后,我们使用已建立的统计算法来确定生理测试结果的分布,并计算出年龄和性别特异性的参考区间。我们的结果表明,血液学分析物的参考区间随着年龄的增长呈现出显著的趋势。最值得注意的是,男性的血红蛋白和红细胞计数随着年龄的增长而下降,同时两性的红细胞体积都增加。这些发现得到了独立数据集的证实,并提示这至少部分是生理原因导致的。

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