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Electrocardiographic Predictors of Mortality: Data from a Primary Care Tele-Electrocardiography Cohort of Brazilian Patients

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Telehealth Network of Minas Gerais, Hospital das Clínicas and Faculdade de Medicina, Universidade Federal de Minas Gerais, Avenida Professor Alfredo Balena 110, Belo Horizonte 30130-100, Brazil
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Computer Science Department, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil
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School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
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Department of Information Technology, Uppsala University, 752 37 Uppsala, Sweden
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Division of Cardiovascular and Medical Sciences, University of Glasgow, Scotland G12 8QQ, UK
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Author to whom correspondence should be addressed.
Courrent Address: Telehealth Center, Hospital das Clínicas da UFMG Av. Alfredo Balena, 110, Sala 106 Sul, Belo Horizonte 30130-100, Brazil.
Academic Editor: Gaetano Santulli
Hearts 2021, 2(4), 449-458; https://doi.org/10.3390/hearts2040035
Received: 27 August 2021 / Revised: 24 September 2021 / Accepted: 27 September 2021 / Published: 29 September 2021
(This article belongs to the Special Issue The Application of Computer Techniques to ECG Interpretation)
Computerized electrocardiography (ECG) has been widely used and allows linkage to electronic medical records. The present study describes the development and clinical applications of an electronic cohort derived from a digital ECG database obtained by the Telehealth Network of Minas Gerais, Brazil, for the period 2010–2017, linked to the mortality data from the national information system, the Clinical Outcomes in Digital Electrocardiography (CODE) dataset. From 2,470,424 ECGs, 1,773,689 patients were identified. A total of 1,666,778 (94%) underwent a valid ECG recording for the period 2010 to 2017, with 1,558,421 patients over 16 years old; 40.2% were men, with a mean age of 51.7 [SD 17.6] years. During a mean follow-up of 3.7 years, the mortality rate was 3.3%. ECG abnormalities assessed were: atrial fibrillation (AF), right bundle branch block (RBBB), left bundle branch block (LBBB), atrioventricular block (AVB), and ventricular pre-excitation. Most ECG abnormalities (AF: Hazard ratio [HR] 2.10; 95% CI 2.03–2.17; RBBB: HR 1.32; 95%CI 1.27–1.36; LBBB: HR 1.69; 95% CI 1.62–1.76; first degree AVB: Relative survival [RS]: 0.76; 95% CI0.71–0.81; 2:1 AVB: RS 0.21 95% CI0.09–0.52; and RS 0.36; third degree AVB: 95% CI 0.26–0.49) were predictors of overall mortality, except for ventricular pre-excitation (HR 1.41; 95% CI 0.56–3.57) and Mobitz I AVB (RS 0.65; 95% CI 0.34–1.24). In conclusion, a large ECG database established by a telehealth network can be a useful tool for facilitating new advances in the fields of digital electrocardiography, clinical cardiology and cardiovascular epidemiology. View Full-Text
Keywords: electronic cohort; electrocardiogram; mortality; big data; telehealth electronic cohort; electrocardiogram; mortality; big data; telehealth
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MDPI and ACS Style

Paixão, G.M.M.; Lima, E.M.; Gomes, P.R.; Oliveira, D.M.; Ribeiro, M.H.; Nascimento, J.S.; Ribeiro, A.H.; Macfarlane, P.W.; Ribeiro, A.L.P. Electrocardiographic Predictors of Mortality: Data from a Primary Care Tele-Electrocardiography Cohort of Brazilian Patients. Hearts 2021, 2, 449-458. https://doi.org/10.3390/hearts2040035

AMA Style

Paixão GMM, Lima EM, Gomes PR, Oliveira DM, Ribeiro MH, Nascimento JS, Ribeiro AH, Macfarlane PW, Ribeiro ALP. Electrocardiographic Predictors of Mortality: Data from a Primary Care Tele-Electrocardiography Cohort of Brazilian Patients. Hearts. 2021; 2(4):449-458. https://doi.org/10.3390/hearts2040035

Chicago/Turabian Style

Paixão, Gabriela M.M., Emilly M. Lima, Paulo R. Gomes, Derick M. Oliveira, Manoel H. Ribeiro, Jamil S. Nascimento, Antonio H. Ribeiro, Peter W. Macfarlane, and Antonio L.P. Ribeiro. 2021. "Electrocardiographic Predictors of Mortality: Data from a Primary Care Tele-Electrocardiography Cohort of Brazilian Patients" Hearts 2, no. 4: 449-458. https://doi.org/10.3390/hearts2040035

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