Independent prognostic value of echocardiography and N-terminal pro–B-type natriuretic peptide in patients with heart failure

Echocardiographic indices of cardiac structure and function and natriuretic peptide levels are strong predictors of mortality in patients with heart failure. Whether cardiac ultrasound and natriuretic peptides provide independent prognostic information is uncertain

A NEURAL NETWORK APPROACH TO PREDICTING OUTCOMES IN HEART FAILURE USING CARDIOPULMONARY EXERCISE TESTING

To determine the utility of an artificial neural network (ANN) in predicting cardiovascular (CV) death in patients with heart failure (HF). ANNs use weighted inputs in multiple layers of mathematical connections in order to predict outcomes from multiple risk markers. This approach has not been applied in the context of cardiopulmonary exercise testing (CPX) to predict risk in patients with HF. 2635 patients with HF underwent CPX and were followed for a mean of 29 ± 30 months. The sample was divided randomly into ANN training and testing sets to predict CV mortality. Peak VO2, VE/VCO2 slope, heart rate recovery, oxygen uptake efficiency slope, and end-tidal CO2 pressure were included in the model. The predictive accuracy of the ANN was compared to logistic regression (LR) and a Cox proportional hazards (PH) score. A multi-layer feed-forward ANN was used and was tested with a single hidden layer containing a varying number of hidden neurons. There were 291 CV deaths during the follow-up. An abnormal VE/VCO2 slope was the strongest predictor of CV mortality using conventional PH analysis (hazard ratio 3.04; 95% CI 2.2-4.2, p<0.001). After training, the ANN was more accurate in predicting CV mortality compared to LR and PH; ROC areas for the ANN, LR, and PH models were 0.72, 0.70, and 0.69, respectively. Age and BMI-adjusted odds ratios were 4.2, 2.6, and 2.9, for ANN, LR, and PH, respectively. An ANN model slightly improves upon conventional methods for estimating CV mortality risk using established CPX responses

Worsening Depressive Symptoms Are Associated With Adverse Clinical Outcomes in Patients With Heart Failure

To assess the impact of changes in symptoms of depression over a 1-year time period on subsequent clinical outcomes in heart failure (HF) patients

Patient monitoring across the spectrum of heart failure disease management 10 years after the CHAMPION trial

Despite significant advances in drug-based and device-based therapies, heart failure remains a major and growing public health problem associated with substantial disability, frequent hospitalizations, and high economic costs. Keeping patients well and out of the hospital has become a major focus of heart failure disease management. Achieving and maintaining such stability in heart failure patients requires a holistic approach, which includes at least the management of the underlying heart disease, the management of comorbidities and the social and psychological aspects of the disease, and the management of haemodynamic/fluid status. In this regard, accurate assessment of elevated ventricular filling pressures or volume overload, that is, haemodynamic or pulmonary congestion, respectively, before the onset of worsening heart failure symptoms represents an important management strategy. Unfortunately, conventional methods for assessing congestion, such as physical examination and monitoring of symptoms and daily weights, are insensitive markers of worsening heart failure. Assessment tools that directly measure congestion, accurately and in absolute terms, provide more actionable information that enables the application of treatment algorithms designed to restore patient stability, in a variety of clinical settings. Two such assessment tools, implantable haemodynamic monitors and remote dielectric sensing (ReDS), meet the prerequisites for useful heart failure management tools, by providing accurate, absolute, and actionable measures of congestion, to guide patient management. This review focuses on the use of such technologies, across the spectrum of heart failure treatment settings. Clinical data are presented that support the broad use of pulmonary artery pressure-guided and/or ReDS-guided heart failure management in heart failure patients with reduced and preserved left ventricular ejection fraction

The prognostic utility of cardiopulmonary exercise testing stands the test of time in patients with heart failure

While the medical management strategy for patients with heart failure (HF) has dramatically changed, cardiopulmonary exercise testing (CPX) procedures and the data obtained have remained relatively stable. We are unaware of any previous investigation that has assessed differences in the prognostic utility of CPX in HF according to time period, reflecting differences in the clinical management of systolic HF. Subjects (n = 381) underwent CPX between April 1, 1993, and December 31, 2005, and the remaining 511 were tested between January 1, 2006, and October 28, 2010. Peak oxygen uptake ((Equation is included in full-text article.)O2) and the minute ventilation/carbon dioxide production ((Equation is included in full-text article.)E/(Equation is included in full-text article.)CO2) slope were ascertained for all tests. Both the (Equation is included in full-text article.)E/(Equation is included in full-text article.)CO2 slope and peak (Equation is included in full-text article.)O2 were strong univariate predictors of adverse events in both subgroups. In the multivariate analysis, the (Equation is included in full-text article.)E/(Equation is included in full-text article.)CO2 slope was the strongest predictive marker while peak (Equation is included in full-text article.)O2 added predictive value and was retained in the regression for all scenarios. In subjects undergoing CPX before 2006, a (Equation is included in full-text article.)E/(Equation is included in full-text article.)CO2 slope 45 or greater and a peak (Equation is included in full-text article.)O2 of less than 10 mL · kg · min generated a hazard ratio of 4.2 (95% CI: 1.9-9.1, P < .001) when considering only mortality as an endpoint. In subjects undergoing CPX after 2006, a (Equation is included in full-text article.)E/(Equation is included in full-text article.)CO2 slope 45 or greater and a peak (Equation is included in full-text article.)O2 of less than 10 mL · kg · min generated a hazard ratio of 8.2 (95% CI: 4.7-14.3, P < .001) when considering only mortality as an endpoint. The results of this study indicate that CPX continues to be a valuable clinical assessment in the present-day HF management