Jaroslav Pelisek, Christian Reeps, Stefan Ockert, Alexander Zimmermann, Zepper Peter, Holger Poppert, Hans-Henning Eckstein
Clinic of Vascular Surgery, Klinikum Rechts der Isar der Technischen Universitaet Muenchen, Ismaninger Straße 22, 81675 Munich, Germany.
Int J Vasc Med. 2012;2012:906954. doi: 10.1155/2012/906954. Epub 2012 Mar 15.
Early recognition of vulnerable patients is an important issue for stroke prevention. In our study, a multiscore analysis of various biomarkers was performed to evaluate its superiority over the analysis of single factors. Study subjects (n = 110) were divided into four groups: asymptomatic patients with stable (n = 25) and unstable (n = 36) plaques and symptomatic patients with stable (n = 13) and unstable (n = 36) plaques. Serum levels of MMP-1, -2, -3, -7, -8, -9, TIMP-1, -2, TNF-α, IL-1b, and IL-6, -8, -10, -12 were measured. Multi-score analysis was performed using multiple receiver operating characteristics (ROC) and determination of appropriate cutoff values. Significant differences between the groups were observed for MMP-1, -7, -9 and TIMP-1 in serum of the study subjects (P < 0.05). Multiple biomarker analysis led to a significant increase in the AUC (area under curve). In case of plaque instability, positive predictive value (PPV) for up to 86.4% could be correctly associated with vulnerable plaques. Thus, multiscore analysis might be preferable than the use of single biomarkers.
早期识别易损患者是预防中风的一个重要问题。在我们的研究中,对各种生物标志物进行了多评分分析,以评估其相对于单因素分析的优越性。研究对象(n = 110)分为四组:稳定斑块(n = 25)和不稳定斑块(n = 36)的无症状患者以及稳定斑块(n = 13)和不稳定斑块(n = 36)的有症状患者。检测了血清中基质金属蛋白酶-1、-2、-3、-7、-8、-9、组织金属蛋白酶抑制因子-1、-2、肿瘤坏死因子-α、白细胞介素-1β以及白细胞介素-6、-8、-10、-12的水平。使用多个受试者工作特征曲线(ROC)进行多评分分析并确定合适的临界值。在研究对象的血清中,观察到基质金属蛋白酶-1、-7、-9和组织金属蛋白酶抑制因子-1在各组之间存在显著差异(P < 0.05)。多种生物标志物分析导致曲线下面积(AUC)显著增加。在斑块不稳定的情况下,高达86.4%的阳性预测值(PPV)可与易损斑块正确关联。因此,多评分分析可能比使用单一生物标志物更可取。