Clinical features and major bleeding predictors for 161 fatal cases of COVID-19: A retrospective observational study.

The aim of this study was to investigate the patient characteristics and laboratory parameters for COVID-19 non-survivors as well as to find risk factors for major bleeding complications. For this retrospective study, the data of patients who died with COVID-19 in our intensive care unit were collected in the period of March 20 - April 30, 2020. D-dimer, platelet count, C-reactive protein (CRP), troponin, and international normalized ratio (INR) levels were recorded on the 1st, 5th, and 10th days of hospitalization in order to investigate the possible correlation of laboratory parameter changes with in-hospital events. A total of 161 non-survivors patients with COVID-19 were included in the study.  The median age was 69.8±10.9 years, and 95 (59%) of the population were male. Lung-related complications were the most common in-hospital complications. Patients with COVID-19 had in-hospital complications such as major bleeding (39%), hemoptysis (14%), disseminated intravascular coagulation (13%), liver failure (21%), ARDS (85%), acute kidney injury (40%), and myocardial injury (70%). A multiple logistics regression analysis determined that age, hypertension, diabetes mellitus, use of acetylsalicylic acid (ASA) or low molecular weight heparin (LMWH), hemoglobin, D-dimer, INR, and acute kidney injury were independent predictors of major bleeding. Our results showed that a high proportion of COVID-19 non-survivors suffered from major bleeding complications.

Prognostic significance of temporal changes of lipid profile in COVID-19 patients.

BACKGROUND: COVID-19 is a multisystemic disease that affects many organs and has metabolic effects. AIMS: This study aims to investigate the effect of the temporal changes of lipid levels on the prognosis during the course of the disease. STUDY DESIGN: Retrospective cross-sectional study. METHODS: For this single-center study, data of patients who were treated for COVID-19 were collected. Fasting lipid parameters including total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglyceride (TG) levels were collected within 24 h of hospitalization. For investigation of temoral changes in lipid parameters, the results of the same parameters in the one-year period before COVID-19 were collected from medical records. A total number of 324 eligible COVID-19 patients were included in this study. The association of changes of lipid parameters with COVID-19 symptom severity and in-hospital mortality were investigated. RESULTS: The mean age of the severe group (n = 139) was 65.4 ± 15.5 years, and 60% were male. TC, LDL-C and HDL-C levels were significantly lower compared to pre-COVID measurements in the study population. Multiple linear regression analysis determined age, acute kidney injury, hs-Troponin, D-dimer, temporal changes in TC, and TG levels were determined as independent predictors for the development of COVID-19 mortality. CONCLUSION: Our findings showed that temporal changes in lipid parameters before and after COVID-19 may be associated with mortality and in-hospital adverse outcomes.

The effect of the severity COVID-19 infection on electrocardiography.

OBJECTIVE: Acute myocardial damage is detected in a significant portion of patients with coronavirus 2019 disease (COVID-19) infection, with a reported prevalence of 7-28%. The aim of this study was to investigate the relationship between electrocardiographic findings and the indicators of the severity of COVID-19 detected on electrocardiography (ECG). METHODS: A total of 219 patients that were hospitalized due to COVID-19 between April 15 and May 5, 2020 were enrolled in this study. Patients were divided into two groups according to the severity of COVID-19 infection: severe (n = 95) and non-severe (n = 124). ECG findings at the time of admission were recorded for each patient. Clinical characteristics and laboratory findings were retrieved from electronic medical records. RESULTS: Mean age was 65.2 ± 13.8 years in the severe group and was 57.9 ± 16.0 years in the non-severe group. ST depression (28% vs. 14%), T-wave inversion (29% vs. 16%), ST-T changes (36% vs. 21%), and the presence of fragmented QRS (fQRS) (17% vs. 7%) were more frequent in the severe group compared to the non-severe group. Multivariate analysis revealed that hypertension (odds ratio [OR]: 2.42, 95% confidence interval [CI]:1.03-5.67; p = 0.041), the severity of COVID-19 infection (OR: 1.87, 95% CI: 1.09-2.65; p = 0.026), presence of cardiac injury (OR: 3.32, 95% CI: 1.45-7.60; p = 0.004), and d-dimer (OR: 3.60, 95% CI: 1.29-10.06; p = 0.014) were independent predictors of ST-T changes on ECG. CONCLUSION: ST depression, T-wave inversion, ST-T changes, and the presence of fQRS on admission ECG are closely associated with the severity of COVID-19 infection.

Echocardiographic features of patients with COVID-19 infection: a cross-sectional study.

COVID-19 patients with cardiac involvement have a high mortality rate. The aim of this study was to investigate the echocardiographic features in COVID-19 patients between severe and non-severe groups. For this single-center study, data from patients who were treated for COVID-19 between March 25, 2020 and April 15, 2020 were collected. Two-dimensional echocardiography (2DE) images were obtained for all patients. Patients were divided into two groups based on the severity of their COVID-19 infections. 2DE parameters indicating right ventricular (RV) and left ventricular (LV) functions were compared between the two groups. A total of 90 patients hospitalized for COVID-19 were included in this study. The mean age of the severe group (n = 44) was 63.3 ± 15.7 years, and 54% were male. The mean age of non-severe group (n = 46) was 49.7 ± 21.4 years, and 47% were male. In the severe group, RV and LV diameters were larger (RV, 36.6 ± 5.9 mm vs. 33.1 ± 4.8 mm, p = 0.003; LV 47.3 ± 5.8 mm vs. 44.9 ± 3.8 mm, p = 0.023), the LE ejection fraction (LVEF) and the RV fractional area change (RV-FAC) were lower (LVEF, 54.0 ± 9.8% vs. 61.9 ± 4.8%, p < 0.001; RV-FAC, 41.4 ± 4.1% vs. 45.5 ± 4.5%, p < 0.001), and pericardial effusions were more frequent (23% vs. 0%) compared to patients in the non-severe group. A multiple linear regression analysis determined that LVEF, right atrial diameter, high-sensitivity troponin I, d-dimer, and systolic pulmonary artery pressure, were independent predictors of RV dilatation. The results demonstrate that both right and left ventricular functions decreased due to COVID-19 infection in the severe group. 2DE is a valuable bedside tool and may yield valuable information about the clinical status of patients and their prognoses.