金属蛋白酶-1和纤维连接蛋白组织抑制剂对心力衰竭诊断价值的评价

M. Fouda, B. Zarif, Victoria Samir, Sara A Mekkawy, Mohamed Omran
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引用次数: 1

摘要

先前的研究将金属蛋白酶-1 (TIMP-1)和纤维连接蛋白(FN)的组织抑制剂失衡与心力衰竭联系起来,作为细胞外基质网络(ECM)生物化学谱的一部分,这对心脏稳态至关重要。本研究旨在评估FN、TIMP-1和CK-MB在心力衰竭(HF)中的诊断价值。60例患者(45例急性心衰,15例慢性心衰)被招募。30人(20人患有缺血性心脏病和其他心脏病,10人健康)作为对照组。生物素双抗体夹心技术测定人纤维连接蛋白和金属蛋白酶-1组织抑制剂的水平。FN是区分HF患者与健康人最有效的生物标志物(AUC = 0.850) (P < 0.001),其次是TIMP (AUC = 0.74)和CK MB (AUC = 0.660)。FN的敏感性为82%,特异性为70%,截止值为80 ng/ml。此外,FN和TIMP在区分HF患者和对照组方面具有相同的AUC(0.71)和效率(65%),其次是CK-MB (AUC = 0.70)。我们基于三种生物标志物(FN、TIMP和CK MB)开发了一种新的心衰诊断模型,命名为HFD模型。HFD模型区分HF患者和健康人的AUC为0.77,敏感性、特异性和准确性均达到80%。对于区分HF患者和对照组,HFD模型的AUC为0.8,灵敏度为76%,特异性为75%,准确性为76%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of the diagnostic performances of tissue inhibitors of metalloproteinase-1 and fibronectin for heart failure
Previous research has linked an imbalance of the tissue inhibitors of metalloproteinase-1 (TIMP-1) and fibronectin (FN) to heart failure as a part of the extracellular matrix network (ECM) biochemistry profile, which is vital for cardiac homeostasis. This study aimed to assess the diagnostic performance of FN, TIMP-1, and CK-MB in heart failure (HF). Sixty patients (45 with acute and 15 with chronic HF) were recruited. Thirty individuals (20 with ischemic heart diseases, as other cardiac diseases, and 10 healthy individuals) were recruited as a control group. The biotin double antibody sandwich technology determined levels of human fibronectin and tissue inhibitors of metalloproteinase-1. FN was the most effective biomarker in differentiating HF patients from healthy individuals (AUC = 0.850) ( P < 0.001), followed by TIMP (AUC = 0.74) and CK MB (AUC = 0.660). The sensitivity and specificity of FN were 82% and 70%, respectively, at a cutoff of 80 ng/ml. In addition, FN and TIMP had the same AUC (0.71) and efficiency (65%) in distinguishing HF patients from controls, followed by CK-MB (AUC = 0.70). We developed a novel model for HF diagnosis named the HFD model based on three biomarkers (FN, TIMP, and CK MB). The HFD model had an AUC of 0.77 in distinguishing HF patients from healthy individuals, with a sensitivity, specificity, and accuracy reaching 80%. For differentiating HF patients from controls, the HFD model had 0.8 AUC, 76% sensitivity, 75% specificity, and 76% accuracy.
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