Logo

American Heart Association

  2
  0


Final ID: MDP1732

Prognostic Value of Resting Heart Rate and Heart Rate Variability in the 12-lead Electrocardiogram: Mortality Data From the CODE Nationwide Database

Abstract Body (Do not enter title and authors here): Introduction: Resting Heart Rate (HR) and Heart Rate Variability (HRV) reflect autonomic control, and are implicated as prognostic factors. We aimed to evaluate the prognostic value of HR and HRV in a cohort from a nationwide telemedicine network.
Methods: We assessed unique ECGs recorded from patients ≥16 years-old, from the tele-ECG database of the Telehealth Network of Minas Gerais, Brazil, between 2010 and 2017. Variables of interest were HR and standard deviation of normal RR intervals (SDNN). Self-informed data were collected: sex, age, risk factors (hypertension, dyslipidemia, diabetes, smoking) and comorbidities (myocardial infarction, Chronic Obstructive Pulmonary Disease, and Chagas disease). Outcomes of interest were all-cause and cardiovascular mortality, assessed by ICD codes reported in death certificates, through linkage with the Mortality Information System. Cox regression was applied to evaluate the association between HR and HRV and the outcomes, in 4 models: 1. Unadjusted; 2. Adjusted for sex and age; 3. Model 2 + risk factors + clinical comorbidities; 4. Model 3 + HRV or HR, respectively.
Results: At total 992.611 individuals were included, median age of 55 years, 60% women. In 6 years, there were 33.292 deaths (3,37%), 21% due to cardiovascular causes. Patients who died had higher prevalence of all risk factors and comorbidities, as well as higher HR: 76 (IQR 66-87) vs. 74 (IQR 65-83) bpm, p<0.001 and lower HRV: 84 (IQR 51-127) vs. 114 (IQR 74-153), p<0.001. After adjustments (model 4), all HR quartiles were independently associated a progressively increased risk of all-cause mortality, being 88% higher for the 4th quartile (HR=1.88 (95%CI 1.77–1.89). Similarly, the 1st and 2nd HRV quartiles remained associated with increased all-cause mortality (1st quartile HR=1.42 (95%CI 1.37–1.47) in the final model. For cardiovascular mortality, HR was also an independent predictor, with a progressively higher risk, with a 77% increase (HR=1.77 95%CI 1.65–1.91) in the 4th quartile. HRV was also an independent predictor of cardiovascular death, with a 33% risk increase (HR=1.33, 95%CI 1.23–1.44) for the 1st quartile. Male gender, age, and all risk factors and comorbidities were also independent predictors of all-cause and cardiovascular mortality.
Conclusions: In a large cohort of Brazilian adults, baseline HR and HRV were independent predictors of all-cause and cardiovascular mortality, after adjustment for clinical variables and autonomic indexes.
  • Moraes, Diego  ( Universidade Federal de MG , Belo Horizonte , Brazil )
  • Nascimento, Bruno  ( Universidade Federal de MG , Belo Horizonte , Brazil )
  • Paixao, Gabriela  ( FEDERAL UNIVERSITY OF MINAS GERAIS , Belo Horizonte , Brazil )
  • Rodrigues Gomes, Paulo  ( Universidade Federal de MG , Belo Horizonte , Brazil )
  • Pires, Magda  ( Universidade Federal de Minas Gerais , Belo Horizonte , Minas Gerais , Brazil )
  • Ribeiro, Antonio  ( Universidade Federal de MG , Belo Horizonte , Brazil )
  • Author Disclosures:
    Diego Moraes: No Answer | Bruno Nascimento: DO NOT have relevant financial relationships | Gabriela Paixao: DO NOT have relevant financial relationships | Paulo Rodrigues Gomes: DO NOT have relevant financial relationships | Magda Pires: DO NOT have relevant financial relationships | Antonio Ribeiro: DO NOT have relevant financial relationships
Meeting Info:

Scientific Sessions 2024

2024

Chicago, Illinois

Session Info:

Sudden Cardiac Arrest - Looking at the Past, Forseeing the Future, Improving Outcomes

Monday, 11/18/2024 , 12:50PM - 02:05PM

Moderated Digital Poster Session

More abstracts on this topic:
Association of Extreme Heat with Cardiovascular and All-cause Emergency Department Visits in the United States

Szeto Jonathan, Shultz Kaitlyn, Bansal Esha, Puvvula Jagadeesh, Hennessy Sean, Chen Aimin, Khatana Sameed Ahmed

Utility of Comprehensive Profiling of Blood Amino Acid in the Identification and Clinical Characterization of High-Risk Populations for Developing Future Adverse Events in Patients with Cardiovascular Disease

Moribayashi Kohei, Matsuura Yunosuke, Yamamoto Kinuko, Tanaka Hiroki, Komaki Soichi, Yamaguchi Masashi, Ideguchi Takeshi, Tsuruda Toshihiro, Kaikita Koichi

More abstracts from these authors:
Artificial intelligence-guided screening of rheumatic heart disease from single-view two-dimensional echocardiography

Oikonomou Evangelos, Nascimento Bruno, Pedroso Aline, Lombo Bernardo, Mcnamara Robert, Karnik Ruchika, Sable Craig, Ribeiro Antonio, Khera Rohan

Acceptability and Gain of Knowledge of Community Educational Tools About Rheumatic Heart Disease Integrated With Screening In Low-Income Settings

Abrams Jessica, Nunes Maria, Diniz Marina, Fraga Lucas, Paula Luiza, Coelho Cecilia, Tacuri Chavez Luz Marina, Lemos Larissa, Correia Julliane, Ribeiro Antonio, Nascimento Bruno, Sable Craig, Spaziani Alison, Zuhlke Liesl, Cardoso Clareci, Vinhal Wanessa, Ribeiro Isabely, Oliveira Kaciane, Amaral Ingred Beatriz

You have to be authorized to contact abstract author. Please, Login
Not Available