The use of dried blood spot sampling for the measurement of HbA1c: a cross-sectional study.

Q2 Medicine
BMC Clinical Pathology Pub Date : 2015-07-08 eCollection Date: 2015-01-01 DOI:10.1186/s12907-015-0013-5
Claudio A Mastronardi, Belinda Whittle, Robert Tunningley, Teresa Neeman, Gilberto Paz-Filho
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引用次数: 28

Abstract

Background: The use of dried blood spot (DBS) sampling is an alternative to traditional venous blood collection, and particularly useful for people living in rural and remote areas, and for those who are infirm, house-bound or time-poor. The objective of this study was to assess whether the measurement of glycated haemoglobin A1c (HbA1c) in DBS samples provided comparative and acceptably precise results.

Methods: Venous and capillary blood samples were collected from 115 adult participants. After proper instruction, each participant punctured his/her own finger and collected capillary blood samples on pieces of a proprietary cellulose filter paper. Each filter paper was subsequently placed inside a breathable envelope, stored at room temperature, and processed on the same day (D0), four (D4), seven (D7) and fourteen (D14) days after collection. HbA1c was measured in duplicates/triplicates in whole venous blood (WB), capillary blood (capDBS) and venous blood placed on the matrix paper (venDBS), by turbidimetric inhibition immunoassay. Intra-assay coefficients of variation (CV) were calculated. DBS values were compared to WB results using linear regression, Bland-Altman plots and cross-validation models.

Results: Eleven and 56 patients had type 1 and type 2 diabetes mellitus, respectively. Mean HbA1c levels were 6.22 ± 1.11 % for WB samples (n = 115). The median intra-assay CV was lower than 3 % for WB and capDBS on all days. Results from capDBS and venDBS showed high correlation and agreement to WB results, with narrow 95 % limits of agreement (except for results from D14 samples), as observed in Bland-Altman plots. When capDBS values were applied to equations derived from regression analyses, results approached those of WB values. A cross-validation model showed that capDBS results on D0, D4 and D7 were close to the WB results, with prediction intervals that were narrow enough to be clinically acceptable.

Conclusions: The measurement of HbA1c from DBS samples provided results that were comparable to results from WB samples, if measured up to seven days after collection. Intra-assay coefficients of variation were low, results were in agreement with the gold-standard, and prediction intervals were clinically acceptable. The measurement of HbA1c through DBS sampling may be considered in situations where traditional venipuncture is not available.

Trial registration: Australian New Zealand Clinical Trials Registry ID ACTRN12613000769785.

Abstract Image

Abstract Image

使用干血点取样测量HbA1c:一项横断面研究。
背景:使用干血点(DBS)取样是传统静脉血采集的一种替代方法,对生活在农村和偏远地区的人以及体弱力弱、足不出户或时间有限的人特别有用。本研究的目的是评估DBS样本中糖化血红蛋白A1c (HbA1c)的测量是否提供了可比性和可接受的精确结果。方法:采集115例成人静脉血和毛细血管血。在适当的指导下,每个参与者刺穿他/她自己的手指,在专有的纤维素滤纸上收集毛细血管血液样本。随后将每张滤纸放入透气的信封中,在室温下保存,并在收集后的第一天(D0)、第4天(D4)、第7天(D7)和第14天(D14)进行处理。采用浊度抑制免疫分析法,对全静脉血(WB)、毛细血管血(capDBS)和放置于基质纸(venDBS)上的静脉血进行重复/三次的HbA1c测定。计算测定内变异系数(CV)。采用线性回归、Bland-Altman图和交叉验证模型比较DBS值与WB结果。结果:1型糖尿病11例,2型糖尿病56例。WB样本的平均HbA1c水平为6.22±1.11% (n = 115)。WB和capDBS在所有天的试验内CV中位数均低于3%。在Bland-Altman图中观察到,capDBS和venDBS的结果与WB结果显示出高度的相关性和一致性,一致性限制为95% (D14样本的结果除外)。将capDBS值应用于回归分析得出的方程,结果与WB值接近。交叉验证模型显示,D0、D4和D7的capDBS结果与WB结果接近,预测区间较窄,临床可接受。结论:如果在采集后7天内测量DBS样本的HbA1c,其结果与WB样本的结果相当。测定内变异系数低,结果与金标准一致,预测区间临床可接受。在无法使用传统静脉穿刺的情况下,可以考虑通过DBS取样测量HbA1c。试验注册:澳大利亚新西兰临床试验注册编号actrn12613000767785。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Clinical Pathology
BMC Clinical Pathology Medicine-Pathology and Forensic Medicine
CiteScore
3.30
自引率
0.00%
发文量
0
期刊介绍: BMC Clinical Pathology is an open access journal publishing original peer-reviewed research articles in all aspects of histopathology, haematology, clinical biochemistry, and medical microbiology (including virology, parasitology, and infection control). BMC Clinical Pathology (ISSN 1472-6890) is indexed/tracked/covered by PubMed, CAS, EMBASE, Scopus and Google Scholar.
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