Severe and acute patients at Intensive Care Units (ICU) and surgery are the ones being continuously monitored. They have a high degree of complexity and monitoring analysis of several variables simultaneously is needed to have real time information about their situation. Organization and categorization of this information is essential for decision-making in order to avoid severe consequences (with 30% mortality indexes). Evaluation of patient’s situation and best treatment to use is done in short time and relies on the physician criteria, knowledge and experience. Current monitoring devices present separated information for each parameter monitored, doctors have lots of information but also lots of noise. Moreover, current algorithms used for the integration of signals measurements in clinical monitoring devices are affected by the regularity and intensity of breathing. Therefore the current approach has reliability and application limitations due to the fact that patients with hemodynamic instability or respiratory or cardiac arrhythmias cannot benefit from this analysis. Moreover, the only current way to estimate pleural pressure is with an oesophageal balloon, an invasive device very often not indicated for clinical situations where pleural pressure is a great help for treatment decision-making.
The presented device improves both data and variables management and information data extracted from monitoring.
Main organs involved in respiration and circulation are anatomical and functionally related; every breath provokes changes in variables related with circulation. The new method offers new information extracted from the respiratory and circulatory systems’ interactions in its most extended way. Mechanical and functional relationships between respiratory and cardiovascular systems depend quantitatively and qualitatively of the intensity of breathing and the particular conditions of the respiratory and cardiovascular system in the specific evaluated condition according to patient characteristics. The method builds a highly descriptive waveform of variation of hemodynamic variables along breathing. The application of analytic techniques allows the tool to quantify and describe these interactions in a precise and clear way to decide best treatment, or predict response to a particular intervention for a patient in a particular situation, all this without limitations of patient condition. It can also be used for short punctual hemodynamic signals analysis outside ICU such as for diagnosis and treatment monitoring in many cardiovascular and respiratory chronic diseases.
The research group belongs to the biggest consortium of biomedical research in Spain and they work, within and out the consortium, with many of the best national and international experts in respiratory diseases. They are experts of clinical-physiology in signal analysis and monitoring field (the principal investigator has 2 PhDs in this field), as well as and Magnetic resonance imaging and positron-emission tomography imaging and data analysis specialists for pulmonary and cardiovascular function. The group combines expertise from ICU specialists and researchers with the one from physics and engineers.
The technology needs to obtain data from vital monitoring devices already used at ICU and surgery. It can be developed as an independent device connected to these ones or within a current available monitoring device. Thus, the group is looking for a monitoring company already in the sector. The envisaged collaboration could be a license agreement, where the company could further develop the technology or integrate it into its products, or to create a joint venture to develop and bring new products to the market.