scholarly journals The effect of sacubitril/valsartan on the occurrence of ventricular arrhythmia and the risk of sudden cardiac death in patients with chronic heart failure with reduced left ventricular ejection fraction. Expert opinion of the Heart Rhythm and Heart Failure Associations of the Polish Cardiac Society

2019 ◽  
Author(s):  
Marcin Grabowski ◽  
Krzysztof Ozierański ◽  
Paweł Balsam ◽  
Rafał Dąbrowski ◽  
Michał M. Farkowski ◽  
...  
Keyword(s):  
Heart Failure ◽  
Sudden Cardiac Death ◽  
Chronic Heart Failure ◽  
Left Ventricular Ejection Fraction ◽  
Cardiac Death ◽  
Heart Rhythm ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction ◽  
Cardiac Society

scholarly journals Machine learning for prediction of sudden cardiac death in heart failure patients with low left ventricular ejection fraction: study protocol for a retroprospective multicentre registry in China

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e023724 ◽  
Author(s):  
Fanqi Meng ◽  
Zhihua Zhang ◽  
Xiaofeng Hou ◽  
Zhiyong Qian ◽  
Yao Wang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Heart Failure ◽  
Sudden Cardiac Death ◽  
Left Ventricular Ejection Fraction ◽  
Ejection Fraction ◽  
Study Protocol ◽  
Cardiac Death ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction

IntroductionLeft ventricular ejection fraction (LVEF) ≤35%, as current significant implantable cardioverter-defibrillator (ICD) indication for primary prevention of sudden cardiac death (SCD) in heart failure (HF) patients, has been widely recognised to be inefficient. Improvement of patient selection for low LVEF (≤35%) is needed to optimise deployment of ICD. Most of the existing prediction models are not appropriate to identify ICD candidates at high risk of SCD in HF patients with low LVEF. Compared with traditional statistical analysis, machine learning (ML) can employ computer algorithms to identify patterns in large datasets, analyse rules automatically and build both linear and non-linear models in order to make data-driven predictions. This study is aimed to develop and validate new models using ML to improve the prediction of SCD in HF patients with low LVEF.Methods and analysisWe will conduct a retroprospective, multicentre, observational registry of Chinese HF patients with low LVEF. The HF patients with LVEF ≤35% after optimised medication at least 3 months will be enrolled in this study. The primary endpoints are all-cause death and SCD. The secondary endpoints are malignant arrhythmia, sudden cardiac arrest, cardiopulmonary resuscitation and rehospitalisation due to HF. The baseline demographic, clinical, biological, electrophysiological, social and psychological variables will be collected. Both ML and traditional multivariable Cox proportional hazards regression models will be developed and compared in the prediction of SCD. Moreover, the ML model will be validated in a prospective study.Ethics and disseminationThe study protocol has been approved by the Ethics Committee of the First Affiliated Hospital of Nanjing Medical University (2017-SR-06). All results of this study will be published in international peer-reviewed journals and presented at relevant conferences.Trial registration numberChiCTR-POC-17011842; Pre-results.

Efficacy of Vitamin D on Chronic Heart Failure Among Adults

2020 ◽  
Vol 90 (1-2) ◽  
pp. 49-58 ◽  
Author(s):  
Wang Chunbin ◽  
Wang Han ◽  
Cai Lin
Keyword(s):  
Heart Failure ◽  
Vitamin D ◽  
Chronic Heart Failure ◽  
Left Ventricular Ejection Fraction ◽  
Confidence Interval ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Controlled Trials ◽  
Ventricular Ejection Fraction ◽  
Randomized Controlled

Abstract. Vitamin D deficiency commonly occurs in chronic heart failure. Whether additional vitamin D supplementation can be beneficial to adults with chronic heart failure remains unclear. We conducted a meta-analysis to derive a more precise estimation. PubMed, Embase, and Cochrane databases were searched on September 8, 2016. Seven randomized controlled trials that investigated the effects of vitamin D on cardiovascular outcomes in adults with chronic heart failure, and comprised 592 patients, were included in the analysis. Compared to placebo, vitamin D, at doses ranging from 2,000 IU/day to 50,000 IU/week, could not improve left ventricular ejection fraction (Weighted mean difference, WMD = 3.31, 95% confidence interval, CL = −0.93 to 7.55, P < 0.001, I2 = 92.1%); it also exerts no beneficial effects on the 6 minute walk distance (WMD = 18.84, 95% CL = −24.85 to 62.52, P = 0.276, I2 = 22.4%) and natriuretic peptide (Standardized mean difference, SMD = −0.39, 95% confidence interval CL = −0.48 to 0.69, P < 0.001, I2 = 92.4%). However, a dose-response analysis from two studies demonstrated an improved left ventricular ejection fraction with vitamin D at a dose of 4,000 IU/day (WMD = 6.58, 95% confidence interval CL = −4.04 to 9.13, P = 0.134, I2 = 55.4%). The results showed that high dose vitamin D treatment could potentially benefit adults with chronic heart failure, but more randomized controlled trials are required to confirm this result.

Predictive value of atrial fibrillation catheter ablation on cognitive functions in patients with chronic heart failure

2021 ◽  
Vol 42 (2) ◽  
pp. 75-81
Author(s):  
T. V. Zolotarova ◽  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Cognitive Function ◽  
Catheter Ablation ◽  
Chronic Heart Failure ◽  
Left Ventricular Ejection Fraction ◽  
Cognitive Functions ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction

Atrial fibrillation (AF) directly leads to a cognitive function decline regardless of the cerebrovascular fatal events, but it is unclear whether the sinus rhythm restoration and reducing the AF burden can reduce the rate of this decreasement. Data on the effect of radiofrequency ablation on patients’ cognitive functions are conflicting and need to be studied. The aim of the study was to evaluate the prognostic value of atrial fibrillation radiofrequency catheter ablation on cognitive functions in patients with chronic heart failure with preserved left ventricular ejection fraction. The impact of AF radiofrequency catheter ablation on cognitive function in 136 patients (mean age 59.7 ± 8.6 years) with chronic heart failure with preserved left ventricular ejection fraction and compared with 58 patients in the control group (58.2 ± 8.1 years), which did not perform ablation and continued the tactics of drug antiarrhythmic therapy was investigated. Cognitive function was assessed using the Montreal Cognitive Test (MoCA) at the enrollment stage and 2 years follow-up. Decreased cognitive function was defined as a MoCA test score < 26 points, cognitive impairment < 23 points. Two years after the intervention, there was a positive dynamics (baseline MoCA test — 25,1 ± 2,48, 2-year follow-up — 26,51 ± 2,33, p < 0,001) in the ablation group and negative in the control group (25,47 ± 2,85 and 24,57 ± 3,61, respectively, p < 0,001). Pre-ablation cognitive impairment was significantly associated with improved cognitive function 2 years after AF ablation according to polynomial regression analysis. The obtained data suggest a probable positive effect of AF radiofrequency ablation on cognitive functions in patients with preserved left ventricular ejection fraction.

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