Despite the clinical
improvement in therapy, heart failure (HF) remains a major cause of mortality
and morbidity, affecting 5.7 million people in the USA with an estimated 5-year
mortality as high as 50% in symptomatic patients. Estimating risk
of mortality in HF plays an important role in management and recently two studies
have demonstrated an improved method of determining treatment plans for
patients with two types of cardiomyopathy, hypertrophic and dilated, that can
result in HF.
The studies conducted at Stanford University examined the use of
treadmill exercise testing along with sonograms of the heart. The first of
the two studies, published in the American
Journal of Cardiology, followed patients with hypertrophic cardiomyopathy for more than four years who
had previously undergone the combined heart sonogram and exercise testing. In the second study,
published in the European Heart Journal
– Cardiovascular Imaging, researchers examined patients with dilated
cardiomyopathy who underwent the same procedure. Both studies demonstrated that integrating results
from combined exercise testing into risk modelling might improve HF outcome
prediction. Risk stratification in HF is
important in order to allocate resources and treatment to patients at highest
risk. Hopefully
better prediction will impact management and, ultimately, treatment of
patients.
It is commonly known that in a lot of cases, the cause of cardiomyopathy is unknown. However in some cases, it is known that it is either acquired due to another disease or condition, or that it is inherited.
ReplyDeleteHas there been research on how another disease or condition causes cardiomyopathy to occur and if so, is there any research on how cardiomyopathy could be prevented after the diseases or conditions are diagnosed?
Also, what is the link between genetics and how cardiomyopathy becomes present? Is there anything that can be done to get it under control and not present life-threatening symptoms?