Mid-Regional Proadrenomedullin in COVID-19-May It Act as a Predictor of Prolonged Cardiovascular Complications?
Paulina PietraszkoMarcin ZorawskiEmilia BieleckaPiotr SielatyckiEdyta ZbrochPublished in: International journal of molecular sciences (2023)
The rising prevalence of cardiovascular disease (CVD) and the impact of the SARS-CoV-2 pandemic have both led to increased mortality rates, affecting public health and the global economy. Therefore, it is essential to find accessible, non-invasive prognostic markers capable of identifying patients at high risk. One encouraging avenue of exploration is the potential of mid-regional proadrenomedullin (MR-proADM) as a biomarker in various health conditions, especially in the context of CVD and COVID-19. MR-proADM presents the ability to predict mortality, heart failure, and adverse outcomes in CVD, offering promise for improved risk assessment and treatment strategies. On the other hand, an elevated MR-proADM level is associated with disease severity and cytokine storms in patients with COVID-19, making it a predictive indicator for intensive care unit admissions and mortality rates. Moreover, MR-proADM may have relevance in long COVID, aiding in the risk assessment, triage, and monitoring of individuals at increased risk of developing prolonged cardiac issues. Our review explores the potential of MR-proADM as a predictor of enduring cardiovascular complications following COVID-19 infection.
Keyphrases
- sars cov
- coronavirus disease
- risk assessment
- public health
- risk factors
- contrast enhanced
- human health
- intensive care unit
- cardiovascular disease
- heart failure
- respiratory syndrome coronavirus
- cardiovascular events
- magnetic resonance
- end stage renal disease
- chronic kidney disease
- emergency department
- healthcare
- left ventricular
- heavy metals
- magnetic resonance imaging
- peritoneal dialysis
- ejection fraction
- type diabetes
- newly diagnosed
- metabolic syndrome
- big data
- climate change
- coronary artery disease
- prognostic factors
- extracorporeal membrane oxygenation
- deep learning
- health information
- social media
- cardiac resynchronization therapy
- patient reported outcomes
- global health