Multicenter clinical validation of a novel rapid single-integrated TAT immunoassay and combined thrombosis biomarker panel for venous thromboembolism risk stratification in colorectal cancer.

IF 2.9 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Meng Liu, Chaolin Guo, Hongsheng Zhou, Ziyan Xie, Yankun Yang, Kuiqi Jin, Jianqi Nie, Jinhua Xiao, Yang Sun, Zhonghu Bai
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Abstract

Objectives: This study aimed to validate the reliability of a novel point-of-care testing technology for measuring the thrombin-antithrombin III complex (TAT) and to evaluate its utility in evaluating venous thromboembolism (VTE) risk and enabling dynamic monitoring in patients with colorectal cancer (CRC).

Design and methods: The novel immunoassay for TAT measurement was assessed against a reference system. Biomarker levels-including TAT, plasmin-α2-antiplasmin complex (PIC), thrombomodulin (TM), and tissue plasminogen activator-inhibitor complex (tPAIC)-were quantified in patients with CRC and healthy controls. Statistical analyses were conducted to assess differences among various groups. Receiver operating characteristic (ROC) curve analysis was employed to evaluate the predictive performance of biomarkers for VTE risk stratification.

Results: The novel TAT assay showed excellent correlation with the reference method (r > 0.99). All biomarkers were significantly elevated in CRC patients compared to healthy controls (p < 0.001), with TAT and PIC levels increasing by 3.5-fold and 2.4-fold, respectively. Significant differences in the levels of TAT, PIC, and tPAIC were also observed between CRC patients with VTE and those without VTE (p < 0.001). Advanced-stage patients showed a median TAT concentration 1.8-fold higher than early-stage patients (p < 0.001). ROC analysis revealed strong predictive performance for TAT and the combined biomarker model, with an area under the curve (AUC) of 0.9544, sensitivity of 90.5 %, and specificity of 93.5 %.

Conclusions: The novel TAT immunoassay represents a reliable system for clinical application. Furthermore, a combined biomarker model enhances VTE risk stratification in CRC patients, providing a valuable strategy for personalized anticoagulant therapy and dynamic monitoring.

用于结直肠癌静脉血栓栓塞风险分层的新型快速单集成TAT免疫测定和联合血栓生物标志物面板的多中心临床验证。
目的:本研究旨在验证一种用于测量凝血酶-抗凝血酶III复合物(TAT)的新型护理点检测技术的可靠性,并评估其在评估结肠直肠癌(CRC)患者静脉血栓栓塞(VTE)风险和实现动态监测中的实用性。设计和方法:采用参照系统对新型TAT免疫测定法进行评价。生物标志物水平,包括TAT、纤溶酶-α2-抗纤溶酶复合物(PIC)、血栓调节蛋白(TM)和组织纤溶酶原激活物-抑制剂复合物(tpai),在结直肠癌患者和健康对照中被量化。对各组间差异进行统计分析。采用受试者工作特征(ROC)曲线分析评价生物标志物对静脉血栓栓塞风险分层的预测效果。结果:该方法与参考方法具有良好的相关性(r > 0.99)。与健康对照组相比,结直肠癌患者的所有生物标志物均显著升高(p )。结论:新型TAT免疫分析代表了一种可靠的临床应用系统。此外,联合生物标志物模型增强了CRC患者的静脉血栓栓塞风险分层,为个性化抗凝治疗和动态监测提供了有价值的策略。
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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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