Abstract | OBJECTIVE: RESEARCH DESIGN AND METHODS: RESULTS: Copeptin was associated with IGFBP-1 (Spearman rank correlation test, r = 0.53; P < 0.001). During follow-up there were 138 cardiovascular events (cardiovascular death, myocardial infarction, and stroke). In univariate Cox proportional hazard regression analyses both biomarkers were predictors of events: the hazard ratio for log copeptin was 1.59 (95% CI 1.41-1.81; P < 0.001) and for log IGFBP-1 was 1.49 (1.26-1.77; P < 0.001). In the final model, adjusting for age and renal function, copeptin was the only independent predictor (1.35 [1.16-1.57]; P < 0.001). CONCLUSIONS: Copeptin is an independent predictor of cardiovascular events and appears to at least partly explain the prognostic impact of IGFBP-1 in patients with type 2 diabetes and myocardial infarction. Copeptin may be a pathogenic factor to address to improve outcome in these patients.
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Authors | Linda G Mellbin, Lars Rydén, Kerstin Brismar, Nils G Morgenthaler, John Ohrvik, Sergiu B Catrina |
Journal | Diabetes care
(Diabetes Care)
Vol. 33
Issue 7
Pg. 1604-6
(Jul 2010)
ISSN: 1935-5548 [Electronic] United States |
PMID | 20413521
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Chemical References |
- Glycopeptides
- IGFBP1 protein, human
- Insulin-Like Growth Factor Binding Protein 1
- copeptins
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Topics |
- Aged
- Death, Sudden, Cardiac
(epidemiology)
- Diabetes Mellitus, Type 2
(metabolism, mortality)
- Female
- Follow-Up Studies
- Glycopeptides
(blood)
- Humans
- Insulin-Like Growth Factor Binding Protein 1
(blood)
- Male
- Middle Aged
- Myocardial Infarction
(metabolism, mortality)
- Predictive Value of Tests
- Prognathism
- Proportional Hazards Models
- Randomized Controlled Trials as Topic
- Risk Factors
- Stroke
(metabolism, mortality)
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