期刊
SCANDINAVIAN JOURNAL OF CLINICAL & LABORATORY INVESTIGATION
卷 82, 期 2, 页码 138-142出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00365513.2022.2034037
关键词
Hemolysis; blood gas analysis; point-of-care system; pre-analytical phase; diagnostic errors
The study assessed the impact of hemolysis on blood gas samples and found that it can lead to analytical bias in certain blood gas parameters. Hemolysis, lipemia, and icterus are causes of clinical misinterpretation of laboratory tests.
Modern blood gas analyzers are not able to identify hemolysis, lipemia and icterus; therefore, the aim of this study was to assess the influence of hemolysis on blood gas samples. Blood gas analysis represents an essential part in the diagnosis and treatment of critically ill patients, including those affected by the pandemic coronavirus disease 2019 (COVID-19). Hemolysis, lipemia, and icterus, are causes of clinical misinterpretation of laboratory tests. A total of 1244 blood gas specimens were collected over a one-week period from different clinical wards, including the Emergency Department, and were assessed for serum indices on Cobas C6000 CE (Roche Diagnostics, Mannheim, Germany). The prevalence of hemolysis, lipemia, and icterus were 5%, 12%, and 14%, respectively. Sample storage at room temperature, delivery to central laboratory using pneumatic tube system, as well as small sample size, strongly affected blood gas parameters (p < .01). Hemolysis led to an increase in analytical bias for pH, pO(2), and potassium, and a significant decrease for pCO(2), HCO3-, sodium, and Ca2+ (p <.01). Currently, hemolysis detection systems are not yet widespread, and a rapid centrifugation of samples after blood gas analysis along with the assessment of serum indices represent the only prompt approach to identify unsuitable results, avoiding pitfalls in clinical decision-making, although it cannot be applied to the Emergency Department routine. Blood gas analyzers manufacturers and suppliers should implement automated built-in serum indices detection systems.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据