Emergency department clinical performance of ADVIA Centaur n-terminal prohormone of B-type natriuretic peptide assay

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
W. Frank Peacock , Jennifer Snyder , Chadwick Brown , Yan Liu Liu , Charles K Cooper , James L. Januzzi
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引用次数: 0

Abstract

Background

Natriuretic peptide testing is guideline recommended as an aid to the diagnosis of heart failure (HF). We sought to evaluate the performance of the ADVIA Centaur (Siemens Healthcare Diagnostics, Tarrytown, NY) NT-proBNPII assay (PBNPII) in emergency department (ED) dyspneic patients.

Methods

Eligible patients presented to the ED with dyspnea, with their gold standard diagnosis determined by up to 3 cardiologists blinded to the PBNPII results. Patients were stratified into 3 groups based on PBNPII resultsa rule out group of NT-proBNP<300  pg/mL, an age-specific rule in group using cutoffs of 450, 900, and 1800 pg/mL, for <50, 50–75, and > 75 years respectively, and an intermediate cohort for results between the rule out and rule in groups.

Results

Of 3128 eligible patients, 1148 (36.7 %) were adjudicated as acute heart failure (AHF). The gold standard AHF diagnosis rate was 3.7, 24.3, and 67.2 % for patients with NTproBNPII in the negative, indeterminate, and positive groups, respectively. Overall likelihood ratios (LR) were 0.07 (95 % CI: 0.05,0.09), 0.55 (0.45,0.67), and 3.53 (3.26,3.83) for the same groups, respectively. Individual LR+for age dependent cutoffs were 5.01 (4.25,5.91), 3.71 (3.25,4.24), and 2.38 (2.10,2.69), respectively. NTproBNPII increased with increasing severity of HF when stratified by NYHA classification.

Conclusions

The ADVIA Centaur PBNPII assay demonstrates acceptable clinical performance using the recommended single rule out and age dependent rule in cutoffs for an AHF diagnosis in dyspneic ED patients.

ADVIA Centaur B 型钠尿肽 n 端前体测定的急诊科临床表现。
背景:钠尿肽检测是指南推荐的心力衰竭(HF)辅助诊断方法。我们试图评估 ADVIA Centaur(西门子医疗诊断公司,纽约州 Tarrytown)NT-proBNPII 检测法(PBNPII)在急诊科(ED)呼吸困难患者中的性能:符合条件的患者因呼吸困难到急诊科就诊,其金标准诊断由最多 3 位对 PBNPII 检测结果保密的心脏病专家确定。根据 PBNPII 结果将患者分为三组,一组是 NT-proBNP 75 岁的排除组,另一组是介于排除组和排除组之间的中间组:在 3128 名符合条件的患者中,有 1148 人(36.7%)被判定为急性心力衰竭(AHF)。NTproBNPII阴性组、不确定组和阳性组患者的金标准 AHF 诊断率分别为 3.7%、24.3% 和 67.2%。相同组别的总体似然比(LR)分别为 0.07(95 % CI:0.05,0.09)、0.55(0.45,0.67)和 3.53(3.26,3.83)。与年龄相关的单个 LR+ 临界值分别为 5.01(4.25,5.91)、3.71(3.25,4.24)和 2.38(2.10,2.69)。根据 NYHA 分级,NTproBNPII 随 HF 严重程度的增加而增加:ADVIA Centaur PBNPII 检测试剂盒的临床性能是可以接受的,使用推荐的单一排除和年龄相关排除临界值可诊断出呼吸困难的 ED 患者的 AHF。
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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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