Coenzyme Q10 in the Treatment of Heart Failure with Preserved Ejection Fraction: A Prospective, Randomized, Double-Blind, Placebo-Controlled Trial.

BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is common in elderly people and is increasing in prevalence. No specific treatment for this condition exists. Coenzyme Q10 (CoQ10) is an essential cofactor for energy production, with reduced levels being noted in HF. Previous studies have suggested a possible role for CoQ10 in the treatment of HF. This study examined the effect of CoQ10 supplementation on diastolic function in HFpEF patients. METHODS: We conducted a prospective, randomized, double-blind, placebo-controlled trial including patients aged > 55 years presenting with New York Heart Association class II-IV heart failure symptoms and left ventricular ejection fraction > 50%, with impaired diastolic function. Echocardiography and levels of serum N-terminal pro-B-type natriuretic peptide (NT-proBNP) were performed at baseline and following 4 months of CoQ10 or placebo supplementation. RESULTS: A total of 39 patients were enrolled-19 in the CoQ10 group and 20 in the placebo group. Baseline clinical characteristics were similar between groups, while compliance was high and also similar between the CoQ10 and placebo groups. There was no significant effect of treatment on indices of diastolic function (difference in the lateral E/e' ratio: -0.86 ± 6.57 in the CoQ10 group, +0.18 ± 3.76 in the placebo group; p = 0.561) or on serum NT-proBNP levels (- 72 pg/mL vs. - 42 pg/mL; p = 0.195). CONCLUSIONS: In this pilot trial in elderly patients with HFpEF, treatment with CoQ10 did not significantly affect echocardiographic indices of diastolic function and serum NT-proBNP levels. TRIAL REGISTRATION: This trial was registered in the US National Institutes of Health Clinical Trials Registry (ClinicalTrials.gov identifier: NCT02779634).

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.

Improving Diuretic Response in Heart Failure by Implementing a Patient-Tailored Variability and Chronotherapy-Guided Algorithm.

Heart failure is a major public health problem, which is associated with significant mortality, morbidity, and healthcare expenditures. A substantial amount of the morbidity is attributed to volume overload, for which loop diuretics are a mandatory treatment. However, the variability in response to diuretics and development of diuretic resistance adversely affect the clinical outcomes. Morevoer, there exists a marked intra- and inter-patient variability in response to diuretics that affects the clinical course and related adverse outcomes. In the present article, we review the mechanisms underlying the development of diuretic resistance. The role of the autonomic nervous system and chronobiology in the pathogenesis of congestive heart failure and response to therapy are also discussed. Establishing a novel model for overcoming diuretic resistance is presented based on a patient-tailored variability and chronotherapy-guided machine learning algorithm that comprises clinical, laboratory, and sensor-derived inputs, including inputs from pulmonary artery measurements. Inter- and intra-patient signatures of variabilities, alterations of biological clock, and autonomic nervous system responses are embedded into the algorithm; thus, it may enable a tailored dose regimen in a continuous manner that accommodates the highly dynamic complex system.