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- Publisher Website: 10.1016/j.exger.2013.07.003
- Scopus: eid_2-s2.0-84881095918
- PMID: 23872300
- WOS: WOS:000323604300014
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Article: IL-6 is a predictive biomarker for stroke associated infection and future mortality in the elderly after an ischemic stroke
Title | IL-6 is a predictive biomarker for stroke associated infection and future mortality in the elderly after an ischemic stroke |
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Authors | |
Keywords | Biomarker IL-6 Infection Mortality Risk factors Stroke |
Issue Date | 2013 |
Publisher | Elsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/expgero |
Citation | Experimental Gerontology, 2013, v. 48 n. 9, p. 960-965 How to Cite? |
Abstract | BACKGROUND AND PURPOSE: Stroke associated infection (within the first seven days) occurs in approximately half of stroke patients and is associated with a worse prognosis, especially in the elderly. It is uncertain what factors predict stroke associated infection, yet identification of a suitable biomarker for infection may allow early and appropriate intervention with antibiotics. The aims of this study were to: a) identify independent risk factors for stroke associated infection, and b) test relationships between these risk factors and mortality at 2 years. METHODS: Eight-two elderly patients were assessed within 72 h of stroke. Data on stroke severity (Barthel Index), stroke associated infection and mortality at 2 years were collected. Inflammatory biomarkers at baseline and 6 months were measured by ELISA. Logistic regression was used to identify risk factors for stroke associated infection and death. RESULTS: Patients with stroke associated infection, especially pneumonia, had increased IL-6, more severe strokes, and higher mortality. IL-6 was independently associated with stroke associated infection (OR = 19.2, [95%CI 3.68, 100], p < 0.001), after adjustment for other risk factors and cytokines. IL-6 was also independently associated with 2 year mortality (OR = 9.2, [1.0, 85.1], p = 0.031). CONCLUSIONS: These data suggest that IL-6 may be a key biomarker for predicting stroke associated infection and mortality in the first two years post stroke. |
Persistent Identifier | http://hdl.handle.net/10722/194538 |
ISSN | 2023 Impact Factor: 3.3 2023 SCImago Journal Rankings: 1.051 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Kwan, SKJ | - |
dc.contributor.author | Horsfield, G | - |
dc.contributor.author | Bryant, T | - |
dc.contributor.author | Gawne-Cain, M | - |
dc.contributor.author | Durward, G | - |
dc.contributor.author | Byrne, CD | - |
dc.contributor.author | Englyst, NA | - |
dc.date.accessioned | 2014-02-07T01:57:13Z | - |
dc.date.available | 2014-02-07T01:57:13Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Experimental Gerontology, 2013, v. 48 n. 9, p. 960-965 | - |
dc.identifier.issn | 0531-5565 | - |
dc.identifier.uri | http://hdl.handle.net/10722/194538 | - |
dc.description.abstract | BACKGROUND AND PURPOSE: Stroke associated infection (within the first seven days) occurs in approximately half of stroke patients and is associated with a worse prognosis, especially in the elderly. It is uncertain what factors predict stroke associated infection, yet identification of a suitable biomarker for infection may allow early and appropriate intervention with antibiotics. The aims of this study were to: a) identify independent risk factors for stroke associated infection, and b) test relationships between these risk factors and mortality at 2 years. METHODS: Eight-two elderly patients were assessed within 72 h of stroke. Data on stroke severity (Barthel Index), stroke associated infection and mortality at 2 years were collected. Inflammatory biomarkers at baseline and 6 months were measured by ELISA. Logistic regression was used to identify risk factors for stroke associated infection and death. RESULTS: Patients with stroke associated infection, especially pneumonia, had increased IL-6, more severe strokes, and higher mortality. IL-6 was independently associated with stroke associated infection (OR = 19.2, [95%CI 3.68, 100], p < 0.001), after adjustment for other risk factors and cytokines. IL-6 was also independently associated with 2 year mortality (OR = 9.2, [1.0, 85.1], p = 0.031). CONCLUSIONS: These data suggest that IL-6 may be a key biomarker for predicting stroke associated infection and mortality in the first two years post stroke. | - |
dc.language | eng | - |
dc.publisher | Elsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/expgero | - |
dc.relation.ispartof | Experimental Gerontology | - |
dc.subject | Biomarker | - |
dc.subject | IL-6 | - |
dc.subject | Infection | - |
dc.subject | Mortality | - |
dc.subject | Risk factors | - |
dc.subject | Stroke | - |
dc.title | IL-6 is a predictive biomarker for stroke associated infection and future mortality in the elderly after an ischemic stroke | en_US |
dc.type | Article | en_US |
dc.identifier.email | Kwan, SKJ: jskkwan@hku.hk | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.exger.2013.07.003 | - |
dc.identifier.pmid | 23872300 | - |
dc.identifier.scopus | eid_2-s2.0-84881095918 | - |
dc.identifier.hkuros | 227904 | - |
dc.identifier.volume | 48 | - |
dc.identifier.issue | 9 | - |
dc.identifier.spage | 960 | - |
dc.identifier.epage | 965 | - |
dc.identifier.isi | WOS:000323604300014 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 0531-5565 | - |