ECG project UMCU

2020

The correct interpretation of electrocardiograms (ECGs) is crucial for accurately diagnosing cardiac abnormalities. Current methods, both manual by physicians and computerized, have not achieved the level of accuracy comparable to cardiologists in detecting acute cardiac issues. Leveraging advancements in artificial intelligence and big data, particularly deep neural networks, offers promising avenues to improve ECG interpretation where traditional methods have fallen short. The ECG-Project develops deep learning algorithms to automate ECG interpretation, particularly focusing on areas where current methods are inadequate.

Through this research, we aim to revolutionize ECG interpretation, improving diagnostic accuracy, reducing healthcare resource utilization, and ultimately enhancing patient outcomes.

The Research
The project objectives are:

  1. WP1: Creating an algorithm capable of accurately and swiftly triaging ECGs through transfer learning, uncovering features in diseases with unknown ECG characteristics (such as primary arrhythmia syndromes and genetic disorders).
  2. WP2: design a portable multi-lead ecg-device, suitable for use by patients at home and healthcare professionals. This device will enable high-quality ECG acquisitions for rapid diagnosis.

Origin
This project is funded within the Innovative Medical Devices Initiative (IMDI) program 'Heart for Sustainable Care'. The focus of this program is the development of medical technology for the earlier detection, monitoring, and better treatment of cardiovascular diseases to ensure accessible healthcare and sufficient staffing. The program has been developed and funded by the Dutch Heart Foundation, ZonMw and NWO, who collaborate within the Dutch CardioVascular Alliance.

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Phaedra-impact

2018
Pulmonary Hypertension (PH), particularly Pulmonary Arterial Hypertension (PAH), presents a fatal complication in chronic diseases, affecting 1 in 50,000 individuals, predominantly at a young age and more often in females. The underlying genetic link involves mutations in the bone morphogenetic protein receptor type 2 (BMPR2) gene, disrupting BMP signaling. The PHAEDRA-IMPACT consortium aims to understand PH and PAH. The Research The research focuses on understanding PAH through the transforming growth factor-β (TGFβ) signaling pathway, particularly influenced by mutations in the bone morphogenetic protein receptor type 2 (BMPR2) gene, prevalent in heritable and some non-hereditary PAH cases. The PHAEDRA initiative identified compounds that modulate the TGFβ/BMP balance, showing efficacy in restoring endothelial function and reversing pulmonary vascular remodeling in preclinical models, though not curing PAH, making early detection crucial. PHAEDRA has identified biomarkers for timely diagnosis and personalized treatment. PHAEDRA-IMPACT will enhance early detection using non-invasive risk assessments, imaging, and biomarker profiling to detect pre-capillary PH. Precision medicine will guide tailored therapies based on advanced imaging and biomarker analyses, addressing disease progression variability among predisposed individuals. Additionally, patient-derived induced pluripotent stem (iPS) cells will be used in 3D culture models of lung and heart tissues to uncover PAH mechanisms and identify therapeutic targets. This comprehensive approach aims to advance our understanding of PAH pathogenesis, accelerate drug development, and enable personalized treatment and preventive strategies for individuals at risk or affected by PH. Origin This consortium was funded through the Impulse Grant program by the Dutch Heart Foundation.
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Praetorian-covid

2020
The SARS-CoV-2 pandemic has a high burden of morbidity and mortality due to development of the acute respiratory distress syndrome (ARDS). The reninangiotensin-system (RAS) plays an important role in the development of ARDS, with ACE2 (angiotensin-converting enzyme 2) being a key enzyme within this. The virus's spike protein binds to ACE2, facillitating cellular internalization. Downregulation of ACE2 results in the excessive accumulation of angiotensin II, which in turn increases pulmonary vascular permeability through stimulation of the angiotensin II type 1a receptor (AT1R), thereby exacerbating lung pathology associated with decreased ACE2 activity. Currently available AT1R blockers (ARBs) such as valsartan, have shown potential to block this pathological process mediated by angiotensin II. The Focus The primary aim of the PRAETORIAN-COVID trial is to investigate the effect of the ARB valsartan compared to placebo on the composite end point of admission to an intensive care unit, mechanical ventilation, or death of COVID-19 patients. The Research Participants receiving active treatment are administered valsartan at a dosage titrated to blood pressure, with a maximum of 160 mg twice daily. Participants receiving placebo are provided with a matching placebo. The treatment duration was 14 days or until reaching the primary endpoint, or until hospital discharge, if applicable within 14 days.Two complementary mechanisms underpin the potential efficacy of angiotensin II type 1 receptor blockers (ARBs) in preventing acute respiratory distress syndrome (ARDS) and reducing morbidity and mortality: ARBs block excessive angiotensin-mediated activation of the AT1R. ARBs upregulate ACE2 expression, leading to reduced angiotensin II levels and increased production of the protective vasodilator angiotensin 1–7. Given these mechanisms, ARBs show promise in preventing ARDS development, potentially reducing the need for intensive care unit (ICU) admission and mechanical ventilation, and ultimately lowering mortality rates associated with SARS-CoV-2 infection.
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