The MPIP data set was used to obtain a model for mortality risk stratification of acute myocardial infarction patients. The predictors heart rate turbulence (HRT) and left-ventricular ejection fraction (LVEF) were employed. HRT was a categorical variable of three levels; LVEF was continuous and its influence on the relative risk was explained by the natural logarithm function (found using fractional polynomials). Cox - PH model with HRT and lnLVEF was constructed and used for risk stratification. The model can be used to divide the patients into two or more groups according to mortality risk. It also describes the relationship between risk and predictors by a (continuous) function, which allows the calculation of individual mortality risk
Background: Sudden cardiac death is a leading cause of death in patients with ST-elevation myocardia...
A detection-theoretic approach to quantify heart rate turbulence (HRT) following a ventricular prema...
Background: Heart rate variability (HRV) and heart rate (HR) dynamics are used to predict the surviv...
The MPIP data set was used to obtain a model for mortality risk stratification of acute myocardial i...
Objectives: Development of risk stratification criteria for predicting mortality in post-infarction ...
Aims To investigate the combination of heart rate turbulence (HRT) and deceleration capacity (DC) as...
Heart rate turbulence (HRT) is commonly assessed by two parameters: turbulence onset (TO) and turbul...
Heart rate turbulence (HRT) is commonly assessed by two parameters: turbulence onset (TO) and turbul...
AbstractObjectives. The aim of this study was to compare the predictive value of mean RR interval as...
The effective discrimination between patients at risk of Arrhythmic Mortality (AM) and Non-Arrhythmi...
Background—Retrospective postinfarction studies revealed that decreased heart rate turbulence (HRT) ...
Heart rate variability (HRV) reflects both cardiac autonomic function and risk of sudden arrhythmic ...
ObjectivesWe determined the contribution of multiple variables to predict arrhythmic death and total...
In the search of a better prognostic survival model for post-acute myocardial infarction patients, t...
Background: Most studies of risk assessment or stratification in patients with myocardial infarction...
Background: Sudden cardiac death is a leading cause of death in patients with ST-elevation myocardia...
A detection-theoretic approach to quantify heart rate turbulence (HRT) following a ventricular prema...
Background: Heart rate variability (HRV) and heart rate (HR) dynamics are used to predict the surviv...
The MPIP data set was used to obtain a model for mortality risk stratification of acute myocardial i...
Objectives: Development of risk stratification criteria for predicting mortality in post-infarction ...
Aims To investigate the combination of heart rate turbulence (HRT) and deceleration capacity (DC) as...
Heart rate turbulence (HRT) is commonly assessed by two parameters: turbulence onset (TO) and turbul...
Heart rate turbulence (HRT) is commonly assessed by two parameters: turbulence onset (TO) and turbul...
AbstractObjectives. The aim of this study was to compare the predictive value of mean RR interval as...
The effective discrimination between patients at risk of Arrhythmic Mortality (AM) and Non-Arrhythmi...
Background—Retrospective postinfarction studies revealed that decreased heart rate turbulence (HRT) ...
Heart rate variability (HRV) reflects both cardiac autonomic function and risk of sudden arrhythmic ...
ObjectivesWe determined the contribution of multiple variables to predict arrhythmic death and total...
In the search of a better prognostic survival model for post-acute myocardial infarction patients, t...
Background: Most studies of risk assessment or stratification in patients with myocardial infarction...
Background: Sudden cardiac death is a leading cause of death in patients with ST-elevation myocardia...
A detection-theoretic approach to quantify heart rate turbulence (HRT) following a ventricular prema...
Background: Heart rate variability (HRV) and heart rate (HR) dynamics are used to predict the surviv...