RESUMEN
Risk prediction in patients with heart failure (HF) is essential to improve the tailoring of preventive, diagnostic, and therapeutic strategies for the individual patient, and effectively use health care resources. Risk scores derived from controlled clinical studies can be used to calculate the risk of mortality and HF hospitalizations. However, these scores are poorly implemented into routine care, predominantly because their calculation requires considerable efforts in practice and necessary data often are not available in an interoperable format. In this work, we demonstrate the feasibility of a multi-site solution to derive and calculate two exemplary HF scores from clinical routine data (MAGGIC score with six continuous and eight categorical variables; Barcelona Bio-HF score with five continuous and six categorical variables). Within HiGHmed, a German Medical Informatics Initiative consortium, we implemented an interoperable solution, collecting a harmonized HF-phenotypic core data set (CDS) within the openEHR framework. Our approach minimizes the need for manual data entry by automatically retrieving data from primary systems. We show, across five participating medical centers, that the implemented structures to execute dedicated data queries, followed by harmonized data processing and score calculation, work well in practice. In summary, we demonstrated the feasibility of clinical routine data usage across multiple partner sites to compute HF risk scores. This solution can be extended to a large spectrum of applications in clinical care.
RESUMEN
Cryopreservation can be used for long-term preservation of tissues and organs. It relies on using complex mixtures of cryoprotective agents (CPAs) to reduce the damaging effects of freezing, but care should be taken to avoid toxic effects of CPAs themselves. In order to rationally design cryopreservation strategies for tissues, it is important to precisely determine permeation kinetics of the protectants that are used to ensure maximum permeation, while minimizing the exposure time and toxicity effects. This is particularly challenging with protectant solutions consisting of multiple components each with different physical properties and diffusing at a different rate. In this study, we show that an attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR) setup can be used to simultaneously monitor diffusion of multiple components in a mixture into tissues in real time. Diffusion studies were done with decellularized heart valves using a sucrose-DMSO mixture as well as vitrification solution VS83. To assess diffusion kinetics of different solutes in mixtures, the increase in specific infrared absorbance bands was monitored during diffusion through the tissue. Solute specific wavenumber ranges were selected, and the calculated area was assumed to be proportional to the CPA concentration in the tissue. A diffusion equation based on Fick's second law of diffusion fitted the experimental data quite well, and clear differences in permeation rates were observed among the different mixture components dependent on molecular size and physical properties.
