At the time of the conception of the project, the COVID-19 pandemic was spreading rapidly causing havoc in the healthcare systems worldwide. In fact, as COVID-19 spread worldwide, the surge in patients requiring intensive care unit (ICU) admission overwhelmed the healthcare systems with each wave. Critical care triage to allow the rationing of scarce ICU resources were needed but was and is still hindered due to lack of personalization. At that time, the management of acute respiratory failure and hemodynamics was critical at the ICU to deal with the flood of ICU patients with COVID-19 with an overwhelming number of patients requiring ICU care and mechanical ventilation. This formed the primary target of VASCOVID at its conception where we have focused on developing a unique tool to enable; the patient stratification derived from endothelial function evaluation, and, the evaluation of cardiopulmonary interactions that personalizes conservative ventilation strategies in order to avoid ventilator-induced lung injury and readiness to wean from the ventilator.
In particular, VASCOVID promised to deploy and mature our portable, non-invasive and real-time health monitoring platform for this purpose. This platform combined two bio-photonics technologies, time-resolved near-infrared spectroscopy and diffuse correlation spectroscopy, and is the fruit of long-term collaboration between core project partners in two European projects (BabyLux and LUCA) where high technology readiness level has been achieved for neuro-monitoring and thyroid cancer screening.
As well known, the number of COVID-19 patients, especially those requiring ICU stays has gone down drastically after the successful vaccination campaigns. We have predicted this and we have devised this platform to be useful in a broader range of ICU patients, potentially impacting patient care at many levels and under many protocols. VASCOVID has adapted and enriched the earlier multi-modal platforms to meet the needs of a typical ICU for patients requiring mechanical ventilation, as well as to leverage large-scale testing of new treatment procedures and therapies aimed to address microvascular impairment and to reduce extubation failure on ICU patients weaning out of mechanical ventilation life-support. The platform has grown to be a unique platform that is easy to deploy and is cost-effective. It provides real-time fast results and is integrated into a machine-learning/artificial intelligence infrastructure for adoption of such strategies to deal with this multi-modal data.
During the project, the platform was tested thoroughly at the ICU by end-users (clinicians/ICU professionals) under different protocols. It has also been tested for standardization and automatization of the protocols through different in vivo protocols. As we learned from the use of the system and from new literature, we have introduced new pilot studies and tested the platform for use in other areas such as post-ICU personalized physiotherapy when dealing with the effects of ICU acquired weakness, for management of fluid resuscitation and for estimation of new biomarkers. Throughout the project regulatory aspects were kept of utmost importance and the project resulted in definition of procedures, needs and initial documentation for its transition to clinical practice by pushing the readiness for CE certification forward.