Abstract | BACKGROUND: METHODS AND RESULTS: NGAL concentration was measured in blood from 1121 consecutive ACS patients (30% women, mean age 65 years) on the first morning after admission. After adjustment for 14 variables, NGAL concentration predicted long-term (median 167 months) mortality (hazard ratio [HR] 1.33, 95% confidence interval [CI] 1.10-1.61, P = 0.003) for quartile (q) 4 of NGAL concentration. NGAL concentrations also predicted long-term mortality (HR = 1.63, 95% CI 1.31-2.03, P < 0.001, N = 741) when adjusting for Global Registry of Acute Coronary Events (GRACE) score, left ventricular ejection fraction (LVEF), and pro- B-type natriuretic peptide (proBNP) and C-reactive protein (CRP) concentrations. With these adjustments, NGAL concentration predicted long-term mortality in NSTEMI patients (HR = 2.02, 95% CI 1.50-2.72, P < 0.001) but not in STEMI patients (HR = 1.32, 95% CI 0.95-1.83, P = 0.100). In all patients, the combination of NGAL concentration and GRACE score yielded an HR of 5.56 (95% CI 4.37-7.06, P < 0.001) for q4/q4 for both variables. CONCLUSION: NGAL concentration in ACS is associated with long-term prognosis after adjustment for clinical confounders. Measuring circulating NGAL concentration may help to identify patients-particularly those with NSTEMI-needing closer follow-up after ACS.
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Authors | Ståle H Nymo, Marianne Hartford, Thor Ueland, Arne Yndestad, Erik Lorentzen, Katarina Truvé, Thomas Karlsson, Annica Ravn-Fischer, Pål Aukrust, Kenneth Caidahl |
Journal | International journal of cardiology
(Int J Cardiol)
Vol. 262
Pg. 79-84
(07 01 2018)
ISSN: 1874-1754 [Electronic] Netherlands |
PMID | 29622507
(Publication Type: Journal Article)
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Copyright | Copyright © 2018. Published by Elsevier B.V. |
Chemical References |
- Biomarkers
- LCN2 protein, human
- Lipocalin-2
|
Topics |
- Acute Coronary Syndrome
(blood, mortality)
- Aged
- Biomarkers
(blood)
- Electrocardiography
- Female
- Follow-Up Studies
- Humans
- Lipocalin-2
(blood)
- Male
- Middle Aged
- Prognosis
- Survival Rate
(trends)
- Sweden
(epidemiology)
- Time Factors
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