Evaluation of biventricular function in patients with COVID-19 using speckle tracking echocardiography.
Omer Faruk BaycanHasan Ali BarmanAdem AticiAdem TatlisuFurkan BolenPınar ErgenSacit IctenBaris GungorMustafa CaliskanPublished in: The international journal of cardiovascular imaging (2020)
A new infectious outbreak sustained by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is now spreading all around the world. The aim of this study was to evaluate the prognostic value of left ventricular global longitudinal strain (LV-GLS) and right ventricular longitudinal strain (RV-LS) in patients with coronavirus disease 2019 (COVID-19). In this prospective, single-center study, data were gathered from patients treated for COVID-19 between April 15 and April 30, 2020. Two-dimensional echocardiography (2-DE) and speckle tracking echocardiography (STE) images were obtained for all patients. Patients were divided into three groups: those with severe COVID-19 infection, those with non-severe COVID-19 infection, and those without COVID-19 infection (the control group). Data regarding clinical characteristics and laboratory findings were obtained from electronic medical records. The primary endpoint was in-hospital mortality. A total of 100 patients hospitalized for COVID-19 were included in this study. The mean age of the severe group (n = 44) was 59.1 ± 12.9, 40% of whom were male. The mean age of the non-severe group (n = 56) was 53.7 ± 15.1, 58% of whom were male. Of these patients, 22 died in the hospital. In patients in the severe group, LV-GLS and RV-LS were decreased compared to patients in the non-severe and control groups (LV-GLS: - 14.5 ± 1.8 vs. - 16.7 ± 1.3 vs. - 19.4 ± 1.6, respectively [p < 0.001]; RV-LS: - 17.2 ± 2.3 vs. - 20.5 ± 3.2 vs. - 27.3 ± 3.1, respectively [p < 0.001]). The presence of cardiac injury, D-dimer, arterial oxygen saturation (SaO2), LV-GLS (OR 1.63, 95% confidence interval [CI] 1.08-2.47; p = 0.010) and RV-LS (OR 1.55, 95% CI 1.07-2.25; p = 0.019) were identified as independent predictors of mortality via multivariate analysis. LV-GLS and RV-LS are independent predictors of in-hospital mortality in patients with COVID-19.
Keyphrases
- sars cov
- coronavirus disease
- end stage renal disease
- left ventricular
- ejection fraction
- newly diagnosed
- chronic kidney disease
- mycobacterium tuberculosis
- respiratory syndrome coronavirus
- prognostic factors
- heart failure
- emergency department
- early onset
- healthcare
- computed tomography
- type diabetes
- cardiovascular disease
- machine learning
- electronic health record
- aortic stenosis
- big data
- acute coronary syndrome
- artificial intelligence
- cardiovascular events
- percutaneous coronary intervention
- cardiac resynchronization therapy
- convolutional neural network