ArticleArquivos brasileiros de cardiologia2023
Predictive Model of All-Cause Death in Patients with Heart Failure using Heart Rate Variability.
Article in Arquivos brasileiros de cardiologia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 6 citations in OpenAlex.
- Predicting the Risk of Cardiovascular Diseases in the Elderly Based on Clinical Data and Heart Rate Variability Using Machine Learning.Journal of clinical medicine · 2026Article
- Development of an electrocardiographic prediction model for outflow tract idiopathic premature ventricular contraction with decreased left ventricular ejection fraction.European journal of medical research · 2025Article
- Heart Rate Variability's Value in Predicting Out-of-Hospital Major Adverse Cardiovascular Events in Patients With Chronic Heart Failure.Cardiovascular therapeutics · 2025Article
- Understanding the Link between Visceral Fat and Heart Health.Arquivos brasileiros de cardiologia · 2024Article
- Mortality Risk Stratification in Heart Failure. The Search for the Holy Grail Continues! Autonomic Nervous System Analysis is Back!Arquivos brasileiros de cardiologia · 2023Article
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3 authors at 1 institution in 1 country.
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Abstract
backgroundCentral Illustration : Predictive Model of All-Cause Death in Patients with Heart Failure using Heart Rate Variability.
backgroundShort and long-duration heart rate variability (HRV) data from Holter monitoring could identify predictors of all-cause death in heart failure (HF) patients.
objectivesTo build a predictive model of all-cause death in patients with HF using HRV.
methodsRetrospective study including patients with suspected or confirmed HF who were admitted for decompensated HF or syncope that underwent Holter monitoring. In analysis of augmented sympathetic tonus, we evaluated the lowest HRV in nonoverlapping 10-minutes periods throughout 24h continuous electrocardiographic signal recording (short HRV variables). Variables with p<0.01 were included in a multivariate Cox regression model to determine the occurrence of the all-cause death. Variables with statistical significance in Cox regression were chosen to build the predictive model. P<0.05 was considered significant.
resultsA total of 116 patients were included, mean age of 71.9±16.3 years, 45.7% men, mean follow-up of 2.83±1.27 years. Thirty-nine deaths occurred (33.6%). By comparing survivors vs. non-survivors, the variables that showed statistical significance were lowest SDNN, lowest rMSSD, age and left ventricular ejection fraction (LVEF). In Cox regression, independent predictors of all-cause death were: age>69 years (HR 3.95, 95%CI 1.64-9.52); LVEF≤57% (HR 4.70, 95%CI 2.38-9.28) and lowest rMSSD≤12ms (HR 5.54, 95%CI 2.04-15.08). An integer value was assigned to each variable. Score<3 showed AUC=0.802 (95%CI 0.72-0.87).
conclusionIn HF patients hospitalized for decompensated HF or syncope, independent long-term predictors of all-cause death were age, LVEF, and 10-minutes rMSSD. These findings indicate that even brief moments of high sympathetic tone can impact survival, specifically in the elderly and patients with HF with reduced ejection fraction.
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