库欣综合征诊断和随访的挑战:评价LC-MS/MS作为尿游离皮质醇分析的确认方法

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Clinica Chimica Acta Pub Date : 2025-02-15 Epub Date: 2025-01-12 DOI:10.1016/j.cca.2025.120129
Ana Rubio, Santiago Tofé, Miguel A Elorza, Sara Sánchez-Asís, María Pastor, Jose A Delgado, Antonia Barceló
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引用次数: 0

摘要

24小时尿游离皮质醇(UFC)测量是Cushinǵs综合征(CS)诊断和随访的基础,免疫测定(IA)是临床实验室实践中最广泛使用的定量检测方法。然而,它们的适用性受到质疑,主要是由于它们在分析特异性方面的局限性。本研究项目的目的是评估一种新的临床实验室CS诊断和随访算法,该算法基于IA检测与液相色谱-串联质谱(LC-MS/MS)相结合的UFC定量。建立了一种基于液-液萃取的定量LC-MS/MS制样方法,并对其进行了充分表征。建立了基于人群的参考范围,并评估了CS随访或临床怀疑高皮质醇患者与IA方法相比UFC值的一致程度。与LC-MS/MS方法相比,IA的UFC值明显更高,因此后者建立了基于人群的参考范围(即4 - 41 µg/day)。本文提出的LC-MS/MS方法作为CS管理的确认程序的临床应用进行了评估,并观察到与IA UFC值高度一致,除非IA无法检测到结果。然而,也注意到IA潜在假阴性(FN)和假阳性(FP)的发现。与IA相比,LC-MS/MS对CS诊断/随访的临床敏感性更高,支持将LC-MS/MS作为临床实验室确认程序的优势和必要性。
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Challenges in the diagnosis and follow-up of Cushing's syndrome: Evaluating LC-MS/MS as a confirmation method for urinary free cortisol analyses.

24-h urinary free cortisol (UFC) measurements are fundamental in the diagnosis and follow-up of Cushinǵs syndrome (CS) and immunoassays (IA) are the most widely used tests for its quantification in clinical laboratory practice. However, their suitability has been questioned mainly due to their limitations concerning analytical specificity. The aim of this research project was to evaluate a novel algorithm for CS diagnosis and follow-up in the clinical laboratory, based on the combination of IA tests with liquid chromatography-tandem mass spectrometry (LC-MS/MS) for UFC quantification. A quantitative LC-MS/MS approach based on liquid-liquid extraction for sample preparation was developed and fully characterized. A population-based reference range was established and the level of agreement for UFC values when compared to IA approach was assessed in patients under CS follow-up or clinical suspicion for hypercortisolism. Significantly higher UFC values were observed for IA when compared to LC-MS/MS approach, therefore population-based reference range was established for the latter (i.e. 4 - 41 µg/day). The clinical application of the herein presented LC-MS/MS approach to be used as a confirmation procedure for CS management was assessed and a high level of agreement with IA UFC values, except in the case of IA undetectable results, was observed. However, IA potential false negative (FN) and false positive (FP) findings were also noted. Higher clinical sensitivity for CS diagnosis / follow-up was observed for LC-MS/MS when compared to IA, supporting the advantage and necessity of implementing LC-MS/MS as a confirmation procedure in the clinical laboratory.

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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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