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Biomarker For Heart Failure Predicts Risk Of Death
While we are now able to diagnose heart failure with great sensitivity using natriuretic peptide tests, we have miles to go before we can reduce the considerable risk that accompanies that diagnosis, says James Januzzi Jr., MD, of the MGH Cardiology Division, who led the study. Its highly likely that examining a patients pattern of several complementary biomarkers will be superior for predicting risk than using just one. If we could harness the information these biomarkers yield to better adjust therapies in the same way that antibiotics are chosen based on the organism causing the infection that would be revolutionary. A condition in which the heart muscle is damaged and cannot pump blood efficiently, heart failure is a major cause of cardiac death. Diagnosis has been a challenge, since the symptoms of heart failure are similar to those of a number of other conditions. In recent years studies from several groups, including collaborators on the current report, have identified many candidate biomarkers for diagnosis. In 2005, Januzzi and his colleagues from the MGH published the PRIDE study, which showed that a protein called NT-proBNP, one of the natriuretic peptides, could confirm or rule out a diagnosis of heart failure in emergency room patients with shortness of breath. In addition NT-proBNP strongly predicted death among such patients. Recent smaller studies have suggested that ST2, which appears to have a role in the inflammatory response, also may be expressed within the heart in situations involving stress to the cardiac muscle, including heart failure. To more closely examine ST2s potential as a heart failure biomarker, the research team analyzed data and blood samples from the PRIDE study participants, almost 600 individuals who had come to the MGH Emergency Department with shortness of breath. In this study, the single largest ST2 analysis to date, the scientists confirmed ST2 as a novel marker of heart failure, finding the highest levels among participants with the disorder. More striking, elevated ST2 levels strongly predicted the risk of death during the year after the initial hospital visit, even among patients who did not have heart failure. In fact, ST2 appeared to be a stronger predictor of death than was NT-proBNP, and a combination of both biomarkers gave the most accurate prediction for all study participants. We have confirmed the potential importance of ST2 to predict risk. What we dont have now is information on how ST2 changes after adequate heart failure therapy and what that tells us about patients response to treatment, Januzzi says. Its likely that patterns of multiple biomarkers will help us identify patients with heart failure who remain at a high risk for death, even though they appear to be symptomatically improving during therapy. There are studies underway here at MGH and elsewhere investigating whether such biomarker fingerprints can guide specific therapy strategies for heart failure and other cardiovascular diseases. Januzzi is an associate professor of Medicine at Harvard Medical School and director of the Cardiac Intensive Care Unit at MGH. Posted by: April Source |
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