Background-Osteopontin, a glycoprotein that can be detected in plasma, was found to be upregulated in several animal models of cardiac failure and may thus represent a new biomarker that facilitates risk stratification in patients with heart failure. We therefore tested whether osteopontin plasma levels are elevated in patients with chronic heart failure and whether they provide independent prognostic information. Methods and Results-We analyzed osteopontin plasma levels in 420 patients with chronic heart failure due to significantly impaired left ventricular systolic function and correlated the results with disease stage and prognostic information (median follow-up of 43 months). We found that osteopontin plasma levels were significantly elevated in patients with heart failure as compared with healthy control subjects (532 versus 382 ng/mL, Pϭ0.008), irrespective of heart failure origin (ischemic versus dilated cardiomyopathy). Furthermore, osteopontin levels were higher in patients with moderate to severe heart failure than in patients with no or mild symptoms (672 ng/mL for New York Heart Association class III/IV versus 479 ng/mL for class I/II, PϽ0.0001). Estimated 4-year death rates in patients with osteopontin levels above or below a cutoff value derived from receiver operating characteristic analyses were 56.5% and 28.4%, respectively (hazard ratio 3.4, 95% confidence interval 2.2 to 5.3, PϽ0.0001). In a multivariable model that included demographic, clinical, and biochemical parameters such as N-terminal prohormone brain natriuretic peptide, osteopontin emerged as an independent predictor of death (hazard ratio 2.3, 95% confidence interval 1.4 to 3.5, PϽ0.001). Conclusion-Our findings suggest that osteopontin might be useful as a novel prognostic biomarker in patients with chronic heart failure. (Circ Heart Fail. 2008;1:43-49.)Key Words: heart failure Ⅲ prognosis Ⅲ biomarker H eart failure is a highly prevalent syndrome throughout the industrialized world and is associated with significant morbidity and mortality. In the United States, heart failure affects more than 5 million people and is responsible for nearly 50 000 deaths each year. 1 Furthermore, annual hospitalizations for heart failure have increased over the past 20 years, from 377 000 to almost 1 million. 2 Clinical Perspective p 49Thus, in patients with heart failure, an accurate diagnosis and prognostic evaluation are critical to identify those at greatest risk for cardiac decompensation and death. Traditional risk stratification by clinical parameters and assessment of left ventricular ejection fraction has proved helpful in the clinical management of heart failure patients. 3 More recently, the natriuretic peptides, in particular brain natriuretic peptide (BNP) or its fragment N-terminal prohormone BNP (NT-pro-BNP), have emerged as biomarkers that convey additional information for diagnosis and prognostication of death. 4 However, even when clinical information is combined with BNP levels, there is considerable variation in the outcome. 5 A...
Protection of the heart by remote preconditioning using IOA is as powerful as classical preconditioning. Both protection methods share protein kinase C as a common element in their signal transduction pathways. Since hexamethonium could not block the protection from IOA and a reperfusion period has to be necessarily interspaced between the IOA and the infarct inducing ischemia of the heart, a neuronal signal transmission from the remote area to the heart can be excluded with certainty. A humoral factor must be responsible for the remote protection. Interestingly the production of the protecting factor is dependent on the duration of the ischemia of the lower limb. The protecting substance, which must be upstream of protein kinase C, remains to be identified.
The aim of this study was to investigate the prognostic value of circulating troponin I (TNI)-autoantibodies in plasma of patients with chronic heart failure. Sera of 390 heart failure patients were tested for the presence of anti-TNI antibodies by enzyme-linked immunosorbent assay (ELISA), including 249 (63.8% of total) patients with dilated cardiomyopathy (DCM) and 141 (36.2% of total) patients with ischemic cardiomyopathy (ICM). A total of 72 patients (18.5% of total) were female and 318 (81.5% of total) were male. Mean patient age was 54.6 ± 11.3 years and mean follow-up time was 3.8 ± 3.2 years. TNI-autoantibodies (titer of ≥1:40) were detected in 73 out of 390 patients (18.7% of total). In TNI-autoantibody positive patients mean left ventricular ejection fraction (LVEF) was 27.6 ± 5.8%, compared to 25.8 ± 5.9% in TNI-autoantibody negative patients, P = 0.03. The combined end-point of death (n = 118, 30.3% of total) or heart transplantation (HTX) (n = 44, 11.3% of total) was reached in 162 patients (41.5% of total). Kaplan-Meier analysis demonstrated superior survival (combined end-point of death or HTX) in patients with DCM versus ICM (P = 0.0198) and TNI-autoantibody positive patients versus TNI-autoantibody negative patients (P = 0.0348). Further subgroup analysis revealed a favorable outcome in TNI-positive patients with heart failure if the patients suffered from DCM (P = 0.0334), whereas TNI-autoantibody status in patients with ICM was not associated with survival (P = 0.8486). In subsequent multivariate Weibull-analysis, a positive TNI serostatus was associated with a significantly lower all-cause mortality in DCM patients (P = 0.0492). The presence of TNI-autoantibodies in plasma is associated with an improved survival in patients with chronic DCM, but not ICM. This might possibly indicate a prophylactic effect of TNI-autoantibodies in this subgroup of patients, encouraging further studies into possible protective effects of antibodies against certain cardiac target structures.
Even matched for NYHA, age, sex, and renal function, BMI exerts a significant and independent inverse influence on NTproBNP in patients with stable CHF. NTproBNP retained equal statistical power in all three BMI groups.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.