Knowledge Generation Projects 2024
13 December, 2024
Ten years of the Aragon Health Research Institute: from a “hard” start to being “recognized”
17 December, 2024The study collects data from almost 1000 patients with heart failure who were monitored for their disease for four years. The BSICoS research group (GIIS020) of the IIS Aragón has made it available to the scientific community through the Physionet portal.
The BSICoS (Biomedical Signal Interpretation and Computational Simulation) research group, from the Aragon Engineering Research Institute (I3A) and the Aragon Health Research Institute (IIS Aragón), has made available to the scientific community a Clinical database with information on 992 patients with heart failure, who underwent 24-hour electrocardiogram recordings and were followed for four years. These data now provide information for advancing research into predicting the risk of sudden death using Holter monitoring.
El Multicenter Sudden Death in Heart Failure (MUSIC) Study It was carried out with the participation of eight hospitals throughout Spain and was designed to evaluate risk indicators for cardiac mortality and sudden cardiac death in people with chronic heart failure.
«The initial objective of this project was to develop prognostic models for predict the risk of sudden death and cardiac death, apply the technologies we had and try to find new markers that would improve the identification of high-risk patients in order to decide the implantation of defibrillators"
Alba Martín Yebra, researcher of the BSICoS group (GIIS020).
The MUSI databaseC It has 24-hour Holter recordings and high-resolution ECG recordings, as well as clinical data derived from blood tests, echocardiography, chest X-ray and medication prescribed to patients. The database is available on the portal www.physionet.org, a platform for open access, managed by the Massachusetts Institute of Technology (MIT), which hosts databases and free software for research use.
The work describing this database was presented at the latest edition of the scientific conference “Computing in Cardiology”, held in Karlsruhe, Germany, where it aroused the interest of many researchers.
“In our research group, working with this data has allowed us to develop and Validate new biomarkers for the prediction of sudden death, for this reason, we decided to share it with the scientific community so that other groups can use it to validate and reproduce the results of their lines of research.”
Alba Martín Yebra, researcher of the BSICoS group (GIIS020).
In addition, it represents a test bench of great interest for Evaluate algorithms based in deep learning o Artificial Intelligence.
The MUSIC study has been used in different works. In this sense, the researcher of the BSICoS group mentions that the data set “is a valuable resource for developing and evaluating a wide range of noninvasive prognostic biomarkers derived from the electrocardiogram”. One aspect that makes it so interesting is the four-year follow-up that was carried out, which allows us to document how the data evolved after the data was recorded.
Specifically, in the BSICoS group, parameters based on the heart rhythm turbulence, in the shape of the T wave and its dependence on heart rate. They were evaluated to predict the mortality due to arrhythmias and the evolution of heart failure, proving to be powerful risk predictors.
Finally, MUSIC has served as a proof of concept for the development of new signal processing techniques. in atrial fibrillation, in which the BSICoS group has been a pioneer.
Main picture: Alba Martín, Juan Pablo Martínez and Pablo Laguna, researchers of the BSICoS group (GIIS020).