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Introduction: COVID-19 is a respiratory tract infection caused by the Coronavirus (SARS-CoV-2) and its main clinical manifestations are respiratory. The cardiovascular system can also be affected, especially in patients with severe acute respiratory syndrome [1].On the other hand, cardiovascular disease (CVD) and risk factors have been shown to be predictors of poor outcomes in COVID-19 [2]. Diverse electrocardiographic abnormalities can be found in this condition [3], although their value as a prognostic predictor have not been properly established due to heterogeneity in abnormalities evaluation and small sample sizes in related studies [4]. Purpose: The aim of the present study is to evaluate the association of electrocardiogram (ECG) findings to poor COVID-19 outcomes Methods: This is a multicentric cohort study that followed hospitalized adults due to COVID-19, from low-middle and high-income countries as part of the World Heart Federation (WHF) Global Study on CVD and COVID-19 initiative [5]. Participants were followed up from hospital admission until 30 days post discharge. For the present study, participants with a valid ECG were included. ECG findings were described according to standardized measurements [heart rate, PR interval, QRS duration and axis, corrected QT interval (QTc)] and abnormalities (according to the Minnesota code system). Abnormalities utilized were grouped into ischemic abnormalities (q waves and ST-T abnormalities), atrial fibrillation (AF), prolonged QTc, sinus tachycardia (defined for the study as above 120 bpm), right and left bundle branch block and presence of any major abnormality. The primary outcome was defined as death from any cause. The secondary outcomes were intensive care unit (ICU) admission and cardiovascular events (myocarditis, pericarditis, myocardial infarction, acute heart failure, ischemic and hemorrhagic stroke). Multiple logistic regression was used to evaluate the association of ECG abnormalities to the outcomes of interest. Adjustments were made in a step by step fashion including gender, age, country of residence, cardiovascular risk factors (diabetes, hypertension, tobacco use) and presence of comorbidities (CVD, asthma, cancer, immunosuppression and chronic kidney disease). Results: The clinical characteristics of the cohort are described in table 1. Figure 1 represents the odds ratio and its 95% confidence interval of having the defined outcomes when presenting a ECG abnormality for the final regression model. Conclusion: ECG abnormalities were independently related to poor outcomes in COVID-19 after accounting for multiple confounders. Significant associations were more frequently found for ischemic abnormalities, heart rate above 120 bpm, atrial fibrillation and having at least one major electrocardiographic abnormality. Funding Acknowledgement: Type of funding sources: Other. Main funding source(s): Pfizer and Sanofi PasteurWorld Heart FederationFigure 1. Odds ratios for ECG abnormalities
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The COVID-19 pandemic has quickly and radically transformed health systems worldwide. The challenges are imposed by the need for social distance, remote management of less severe cases, and the constant need for updating health care professionals and the population with reliable information. We aim to describe the experiences and developments of a Brazilian telehealth public service during the pandemic. Numerous tools have been developed and made available, to be used in an integrated manner, by both health professionals and the general public. Those included a chatbot for guidance, a teleconsultation platform combined with a telemonitoring system, a teleconsulting service, and a tele-education program. The TNMG services appear to be efficient and robust during the health crisis of COVID-19, through different tools and methodologies focused on both professionals and users of the health systems. © 2021 The authors and IOS Press.
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Background In January/2020 the respiratory disease caused by the new coronavirus was declared as an international public health emergency. In Brazil, until June 22nd there were 1,11 million confirmed cases. In this context, the Telehealth Network of Minas Gerais (TNMG), a large-scale public telehealth service, acted quickly to assist professionals and the population in coping with the disease, mainly in low resource settings. Aim To report the experience of a Brazilian public telehealth service in actions to manage COVID-19 and its impacts. Methods Experience report. Results The TNMG developed 15 infographics and 16 web lectures for health professionals and general population about key themes, such as respiratory syndromes, personal care and ventilatory support. Two of them were live, seen in real time by 13,422 professionals, mainly nurses (63.8%) and doctors (31.1%), from 45 medical specialties (most family physicians-34.0%), in all Brazilian states, especially the Southeast region (58.5%). All lectures were uploaded on TNMG's Youtube channel, each one reaching 5,300 viewers on average. Specific to support health professionals: 2 guidelines were developed - one for primary care units and other to emergency/intensive care;a category for offline (second opinion) teleconsultations was created for doubts about coronavirus;and a list with 39 Frequently Asked Questions (FAQs) was developed. For the general population: 65 FAQs were developed;a health team from a low resource setting was trained to provide online teleconsultations;and a chatbot was released to automatically answer COVID-19 related doubts and/or evaluate a user's health condition, indicating if emergency medical care was needed. All resources are freely available on TNMG's website and on its social networks. Conclusions Telehealth tools had a notable acceptance and were shown to be an effective way to disseminate information for professionals and lay population throughout the country. Key messages Telehealth tools have been proven to be an effective strategy to promote health education, for both professionals and the general population. Telemedicine plays a fundamental role on dealing with public health issues, especially on low resource settings.
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INTRODUCTION: We aimed to evaluate the impact of the new coronavirus disease 2019 on coronary hospitalizations in the Brazilian private health system. METHODS: Data on coronary admissions in 2020 and a 2-year historical series were collected from the UNIMED-BH insurance system. RESULTS: Admission rates in 2020 reduced by 26% (95%CI, 22-30) in comparison with 2018/2019, markedly from March to May (37%) compared to the peak of the pandemic (June-September, 19%). Mortality was higher in 2020 (5.4%, 95%CI 4.5-6.4) than in 2018/2019 (3.6%, 95%CI 3.2-4.1). CONCLUSIONS: There was a significant decrease in coronary admissions, with higher mortality during the COVID-19 pandemic.
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INTRODUCTION: Cardiac involvement seems to impact prognosis of COVID-19, being more frequent in critically ill patients. We aimed to assess the prognostic value of right ventricular (RV) and left ventricular (LV) dysfunction, evaluated by bedside echocardiography (echo), in patients hospitalized with COVID-19. METHODS: Patients admitted in 2 reference hospitals in Brazil from Jul to Sept/2020 with confirmed COVID-19 and moderate/severe presentations underwent clinical and laboratory evaluation, and focused bedside echo (GE Vivid-IQ), at the earliest convenience, with remote interpretation. The association between demographics, clinical comorbidities and echo variables with all-cause hospital mortality was assessed, and factors significant at p<0.10 were put into multivariable models. RESULTS: Total 163 patients were enrolled, 59% were men, mean age 64+/-16 years, and 107 (66%) were admitted to intensive care. Comorbidities were present in 144 (88%) patients: hypertension 115 (71%), diabetes 61 (37%) and heart failure 22 (14%). In-hospital mortality was 34% (N=56). In univariate analysis, echo variables significantly associated with death were: LV ejection fraction (LVEF, OR=0.94), RV fractional area change (OR=0.96), tricuspid annular plane systolic excursion (TAPSE, OR=0.83) and RV dysfunction (OR=5.3). In multivariate analysis, after adjustment for clinical and demographic variables, independent predictors of mortality were age>=63 years (OR=5.53, 95%CI 1.52-20.17), LVEF<64% (OR=7.37, 95%CI 2.10-25.94) and TAPSE<18.5 mm (OR=9.43, 95% CI 2.57-35.03), and the final model had good discrimination, with C-statistic=0.83 (95%CI 0.75-0.91). CONCLUSION: Markers of RV and LV dysfunction assessed by bedside echo are independent predictors of mortality in hospitalized COVID-19 patients, after adjustment for clinical variables.