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Background and hypothesis: Limited data exist regarding racial differences in heart failure. The objective of this prospective study was to document racial differences in the baseline demographics and patterns of health care utilization and outcomes in patients with heart failure.Methods: The data on 163 consecutive patients (1 13 black, 50 white) admitted with a diagnosis of heart failure confirmed by pulmonary congestion on chest x-ray were prospectively evaluated. Patient demographics, physical examination findings at admission, comorbid conditions, and medications at admission and discharge were analyzed. Follow-up was performed to document visits to the physician's office after discharge and readmission rate during a 6-month time period.Results: Compared with whites, blacks were younger in age (mean age 63.8 k 13.7 years vs. 70.8 * 13.1, p = 0.003), and had a higher prevalence of hypertension (86 vs. 66%, p = 0.004), left ventricular hypertrophy (24 vs. 8%, p= 0.02), ejection fraction < 40% (64 vs. 43%, p = 0.03), and readmission rate (33 vs. 18%, p = 0.05). Whites had a higher prevalence of atrial fibrillation (42 vs. 21 %, p = 0.006) and more frequently followed up with their cardiologists as outpatients (58 vs. 39%, p = 0.04). Conclusion: Significant racial differences exist in patients with heart failure with regard to age, incidence, etiologic factors, left ventricular hypertrophy, left ventricular function, and clinical follow-up. It is important to consider these racial differences in the evaluation and management of patients with heart failure.

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In the context of the COVID-19 pandemic, many barriers to telemedicine disappeared. Virtual visits and telemonitoring strategies became routine. Evidence is accumulating regarding the safety and efficacy of virtual visits to replace in-person visits. A structured approach to virtual encounters is recommended. Telemonitoring includes patient reported remote vital sign monitoring, information from wearable devices, cardiac implantable electronic devices and invasive remote hemodynamic monitoring. The intensity of the monitoring should match the risk profile of the patient. Attention to cultural and educational barriers is important to prevent disparities in telehealth implementation.

Purpose Certain patient demographics and biomarkers have been suggested to predict survival in patients infected with COVID-19. However, predictors of outcome in patients who are critically ill are unclear. Materials and Methods We performed a multicentre analysis of 171 consecutive patients with confirmed COVID-19 who were admitted to the intensive care unit (ICU) between 1 March 2020 and 30 April 2020 and were followed until 23 May 2020. Demographic data, past medical history, laboratory values, echocardiographic and telemetry data were analysed. Patient status was classified as either alive or deceased at hospital discharge or the end of follow-up period. Results Mean patient age was 66±13 and 57% were male. Mortality rate of this ICU cohort at the end of follow-up was 46.2%. A multivariable logistic regression analysis identified the presence or history of atrial fibrillation (Odds Ratio 4.8, p=0.004) as a significant cardiovascular attribute that contributed to increased mortality. Conclusion Mortality of critically ill COVID-19 patients is high. This study suggests a relationship between atrial fibrillation and increased mortality from COVID-19. Early aggressive treatment patients with high risk characteristics, such as atrial fibrillation could improve clinical outcome.