| Evaluation of serum biomarkers for patients at increased risk of stroke. | |
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MedLine Citation:
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PMID: 22506118 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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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. |
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Authors:
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Pelisek Jaroslav; Reeps Christian; Ockert Stefan; Zimmermann Alexander; Peter Zepper; Poppert Holger; Eckstein Hans-Henning |
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Publication Detail:
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Type: Journal Article Date: 2012-03-15 |
Journal Detail:
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Title: International journal of vascular medicine Volume: 2012 ISSN: 2090-2832 ISO Abbreviation: Int J Vasc Med Publication Date: 2012 |
Date Detail:
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Created Date: 2012-04-16 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101542608 Medline TA: Int J Vasc Med Country: United States |
Other Details:
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Languages: eng Pagination: 906954 Citation Subset: - |
Affiliation:
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Clinic of Vascular Surgery, Klinikum Rechts der Isar der Technischen Universitaet Muenchen, Ismaninger Straße 22, 81675 Munich, Germany. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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