Screening, detection, and management of heart failure in the SARS-CoV2 (COVID-19) pandemic.
Alberto PalazzuoliGaetano RuoccoKristen M TecsonPeter A McCulloughPublished in: Heart failure reviews (2021)
Observational studies suggest that a heart failure (HF) diagnosis carries a poor prognosis in subjects with severe SARS-CoV2 (COVID-19) infection, but it is unknown whether this association reflects direct myocardial damage due to COVID-19 or the consequence of preexisting cardiac defects and related cardiovascular disease (CVD) risk burden. Although the close relation between CVD and COVID-19 outcomes is well established, contrasting data exists about the occurrence of HF complications during COVID-19 infection. Therefore, a specific algorithm focused on diagnostic differentiation in acute patients distinguishing between acute HF and acute respiratory distress syndrome related to COVID-19 is needed. Further, several concerns exist for the management of patients with an uncertain diagnosis and acute dyspnea, the exact relationship existing between COVID-19 and HF. Therefore, the treatment for subjects with both COVID-19 and HF and which criteria may be defined for domiciliary or hospital management, remain poorly defined. Herein, we describe practices to be adopted in order to address these concerns and avoid further virus spread among patients, l and their familiars involved in such patients' care.
Keyphrases
- sars cov
- coronavirus disease
- heart failure
- poor prognosis
- end stage renal disease
- respiratory syndrome coronavirus
- acute respiratory distress syndrome
- acute heart failure
- cardiovascular disease
- liver failure
- healthcare
- left ventricular
- chronic kidney disease
- ejection fraction
- respiratory failure
- newly diagnosed
- drug induced
- peritoneal dialysis
- primary care
- prognostic factors
- long non coding rna
- machine learning
- aortic dissection
- extracorporeal membrane oxygenation
- deep learning
- coronary artery disease
- mechanical ventilation
- cardiovascular events
- hepatitis b virus
- quality improvement
- skeletal muscle
- molecular dynamics
- electronic health record
- sensitive detection
- data analysis
- neural network
- adverse drug
- quantum dots