凝血管中常规临床生化分析物的预处理稳定性;研究(不)适合家庭样本采集。

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Maaike Roelofs , Kalpana Ramkisoensing , Rixt Even , Huub H. van Rossum
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引用次数: 0

摘要

背景:人们对临床应用中的自我采血越来越感兴趣。除了允许患者自采血液样本外,分析物样本的充分稳定性对于提供准确可靠的检测结果也至关重要。这一点对自采血尤为重要,因为与医护人员采集的常规血样相比,将样本运送到临床实验室所需的时间通常要长得多,而且受控环境也较差:从九名患者身上又采集了三支采血管(凝血管),其中一支立即进行了处理,第二支和第三支分别在 20 °C 和 37 °C 下保存 48 小时后进行了处理。采集的血清储存在 -20 °C,从个别患者采集的样本在同一分析流程中分析 18 种常规化学分析物以及肿瘤标志物 PSA 和 CEA。对延迟处理后获得的回收率进行量化,并根据生物变异的分析性能指标确定每种分析物的样本质量:结果:对于每种分析物,都确定了延迟处理后样品的质量水平。CEA、PSA、CRP、肌酐、高密度脂蛋白胆固醇、甘油三酯和 yGT 的回收率均在理想的偏差要求范围内。葡萄糖、所有电解质、谷丙转氨酶和谷草转氨酶的回收率超过了最低偏差标准:包括钠、氯、钾、钙和肝酶在内的一些分析物的回收率低于最低偏差标准,而其他分析物,如 CEA、PSA、CRP、肌酐和甘油三酯,在延迟 48 小时处理的情况下,在凝固的血液中具有足够的稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pre-processing stability of routine clinical chemistry analytes in a clotting tube; investigating the (un)suitability for at-home sample collection

Background

There is a growing interest in self-collection of blood for clinical applications. Next to allowing patients to self-sample blood, adequate sample stability of the analyte is essential to provide an accurate and reliable test result. This is particularly important for self-collected blood, as the transport of the sample to the clinical laboratory will generally require significantly more time than routine blood samples collected by healthcare professionals, and under less controlled circumstances.

Methods

Three additional blood collection tubes (coagulation tubes) were collected from nine patients; one was processed immediately, the second and third were processed after 48 h of storage at 20 °C and 37 °C, respectively. The collected serum was stored at −20 °C and samples collected from individual patients were analyzed in the same analytical run for 18 routine chemistry analytes and the tumor markers PSA and CEA. The recoveries obtained after delayed processing were quantified and the quality of the sample for each analyte was determined using the analytical performance specifications based on biological variation.

Results

For each analyte, the quality level of samples with delayed processing was determined. For the CEA, PSA, CRP, creatinine, HDL-cholestrol, triglycerides and yGT the recovery was within the desirable bias requirement. Recovery for glucose, all included electrolytes, ALT and AST exceeded the minimum bias criterion.

Conclusions

Several analytes including sodium, chloride, potassium, calcium, and liver enzymes were not, while others; CEA, PSA, CRP, creatinine and triglycerides, were found to be sufficiently stable in coagulated blood, when processed with a delay of 48 h.
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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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