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干血斑采集、样本质量和野外工作条件:转化为标准值的结构验证。

Dried blood spot collection, sample quality, and fieldwork conditions: Structural validations for conversion into standard values.

机构信息

Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy, Munich, Germany.

Department of Economics and Business, Technical University of Munich (TUM), Munich, Germany.

出版信息

Am J Hum Biol. 2021 Jul;33(4):e23517. doi: 10.1002/ajhb.23517. Epub 2020 Oct 16.

Abstract

OBJECTIVES

SHARE, a pan-European panel study in 27 European countries and Israel, has collected dried blood spot (DBS) samples from approximately 27 000 respondents in 13 countries. We aim to obtain factors to convert analyte values between DBS and venous blood samples (VBS) taking account of adverse fieldwork conditions such as small spot size, high temperature and humidity, short drying time and long shipment times.

METHODS

We obtained VBS and DBS from a set of 20 donors in a laboratory setting, and treated the DBS in a systematic and controlled fashion simulating SHARE fieldwork conditions. We used the 3420 outcomes to estimate from DBS analyte values the values that we would have obtained had it been feasible to collect and analyze the donors' venous blood samples.

RESULTS

The influence of field conditions and sample quality on DBS analyte values is significant and differs among assays. Varying spot size is the main challenge and affects all markers except HbA1c. Smaller spots lead to overly high measured levels. A missing desiccant is detrimental for all markers except CRP and tHb. The temperature to which the samples are exposed plays a significant role for HDL and CysC, while too brief a drying time affects CRP and CysC. Lab-based adjustment formulae only accounting for the differences between re-liquefied DBS and venous blood do not address these fieldwork conditions.

CONCLUSIONS

By simulating adverse fieldwork conditions in the lab, we were able to validate DBS collected under such conditions and established conversion formulae with high prediction accuracy.

摘要

目的

SHARE 是一项泛欧面板研究,在 27 个欧洲国家和以色列进行,已经从 13 个国家的大约 27000 名受访者中收集了干血斑 (DBS) 样本。我们旨在获得因素,以考虑到恶劣的野外工作条件,如斑点小、高温高湿、干燥时间短和运输时间长,在 DBS 和静脉血样本 (VBS) 之间转换分析物值。

方法

我们在实验室环境中从一组 20 名供体中获得了 VBS 和 DBS,并以系统和受控的方式处理 DBS,模拟 SHARE 野外工作条件。我们使用 3420 个结果来估计从 DBS 分析物值中得出的值,如果可行的话,我们将从供体的静脉血样中分析这些值。

结果

野外条件和样本质量对 DBS 分析物值的影响是显著的,并且在不同的测定中有所不同。不断变化的斑点大小是主要挑战,除了 HbA1c 之外,所有标记物都受到影响。较小的斑点会导致测量值过高。干燥剂缺失对除 CRP 和 tHb 之外的所有标志物都有害。样品暴露的温度对 HDL 和 CysC 有重要影响,而干燥时间过短会影响 CRP 和 CysC。仅基于重新液化的 DBS 和静脉血之间的差异的实验室调整公式并不能解决这些野外工作条件。

结论

通过在实验室中模拟恶劣的野外工作条件,我们能够验证在这种条件下收集的 DBS,并建立具有高预测准确性的转换公式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baf0/10980534/1d6e8c58b9fc/nihms-1978809-f0001.jpg

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