scholarly journals Arrhythmic risk stratification in heart failure mid-range ejection fraction patients with a non-invasive guiding to programmed ventricular stimulation two-step approach

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
P Arsenos ◽  
K Gatzoulis ◽  
I Doundoulakis ◽  
P Dilaveris ◽  
C.K Antoniou ◽  
...  

Abstract Background Although some post myocardial infarction (post-MI) and dilated cardiomyopathy (DCM) patients with mid-range ejection fraction heart failure (HFmrEF = 40–49%) face an increased risk for arrhythmic Sudden Cardiac Death (SCD), current guidelines do not recommend an implantable cardioverter-defibrillator (ICD). Purpose To assess the accuracy of a novel multifactorial two-step approach, with noninvasive risk factors (NIRFs) leading to programmed ventricular stimulation (PVS), for SCD risk stratification of hospitalized HFmrEF patients. Methods Forty-eight patients (male=83%, age = 64±14 years, LVEF = 45±5%, ischemic coronary disease = 69%) underwent a NIRF presence screening first step with ECG, SAECG, echocardiography and 24 hour ambulatory ECG (Holter). Thirty-two patients with presence of one out of three NIRFs (SAECG ≥2 positive criteria for late potentials, ventricular premature beats ≥240/24 hours, and ≥1 episode of non-sustained ventricular tachycardia on Holter) were further stratified with PVS. Patients were classified as either low (Group 1, n=16, NIRFs−), moderate (Group 2, n=18, NIRFs+ /PVS−) or high risk (Group 3, n=14, NIRFs+/PVS+). All Group 3 patients received an ICD. Results After 41±18 months, 9 out of 48 patients experienced the major arrhythmic event (MAE) endpoint (clinical ventricular tachycardia/fibrillation = 3, appropriate ICD activation = 6). The endpoint occurred more frequently in Group 3 (7/14, 50%) than in Groups 1 & 2 (2/34, 5.8%). A logistic regression model adjusted for PVS, age and LVEF revealed that PVS was an independent MAE predictor (OR: 21.152, 95% CI: 2.618–170.887, p=0.004). Kaplan Meier curves diverged significantly (p logrank <0.001) while PVS negative predictive value was 94%. Conclusion In hospitalized HFmrEF post-MI and DCM patients, a NIRFs leading to PVS two-step approach efficiently detected the subgroup at increased risk for MAEs. Funding Acknowledgement Type of funding source: None

2020 ◽  
Vol 36 (5) ◽  
pp. 890-898
Author(s):  
Petros Arsenos ◽  
Konstantinos A. Gatzoulis ◽  
Ioannis Doundoulakis ◽  
Polychronis Dilaveris ◽  
Christos‐Konstantinos Antoniou ◽  
...  

2020 ◽  
Vol 7 ◽  
Author(s):  
Daisuke Harada ◽  
Hidetsugu Asanoi ◽  
Takahisa Noto ◽  
Junya Takagawa

Background: Stratified medicine may enable the development of effective treatments for particular groups of patients with heart failure with preserved ejection fraction (HFpEF); however, the heterogeneity of this syndrome makes it difficult to group patients together by common disease features. The aim of the present study was to find new subgroups of HFpEF using machine learning.Methods: K-means clustering was used to stratify patients with HFpEF. We retrospectively enrolled 350 outpatients with HFpEF. Their clinical characteristics, blood sample test results and hemodynamic parameters assessed by echocardiography, electrocardiography and jugular venous pulse, and clinical outcomes were applied to k-means clustering. The optimal k was detected using Hartigan's rule.Results: HFpEF was stratified into four groups. The characteristic feature in group 1 was left ventricular relaxation abnormality. Compared with group 1, patients in groups 2, 3, and 4 had a high mean mitral E/e′ ratio. The estimated glomerular filtration rate was lower in group 2 than in group 3 (median 51 ml/min/1.73 m2 vs. 63 ml/min/1.73 m2p < 0.05). The prevalence of less-distensible right ventricle and atrial fibrillation was higher, and the deceleration time of mitral inflow was shorter in group 3 than in group 2 (93 vs. 22% p < 0.05, 95 vs. 1% p < 0.05, and median 167 vs. 223 ms p < 0.05, respectively). Group 4 was characterized by older age (median 85 years) and had a high systolic pulmonary arterial pressure (median 37 mmHg), less-distensible right ventricle (89%) and renal dysfunction (median 54 ml/min/1.73 m2). Compared with group 1, group 4 exhibited the highest risk of the cardiac events (hazard ratio [HR]: 19; 95% confidence interval [CI] 8.9–41); group 2 and 3 demonstrated similar rates of cardiac events (group 2 HR: 5.1; 95% CI 2.2–12; group 3 HR: 3.7; 95%CI, 1.3–10). The event-free rates were the lowest in group 4 (p for trend < 0.001).Conclusions: K-means clustering divided HFpEF into 4 groups. Older patients with HFpEF may suffer from complication of RV afterload mismatch and renal dysfunction. Our study may be useful for stratified medicine for HFpEF.


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Godet ◽  
O Raitiere ◽  
H Chopra ◽  
P Guignant ◽  
C Fauvel ◽  
...  

Abstract Background Treatment by sacubitril/valsartan decreases mortality, improves KCCQ score and ejection fraction in patients with heart failure with reduced ejection fraction (HF REF), but there is currently no data to predict response to treatment. Purpose The purpose of our work was to assess whether unbiased clustering analysis, using dense phenotypic data, could identify phenotypically distinct HF-REF subtypes with good or no response after 6 months of sacubitril/valsartan administration. Methods A total of 78 patients in NYHA functional class 2–3 and treated by ACE inhibitor or AAR2, were prospectively assigned to equimolar sacubitril/valsartan replacement. We collected demographic, clinical, biological and imaging continuous variables. Phenotypic domains were imputed with 5 eigenvectors for missing value, then filtered if the Pearson correlation coefficient was >0.6 and standardized to mean±SD of 0±1. Thereafter, we used agglomerative hierarchical clustering for grouping phenotypic variables and patients, then generate a heat map (figure 1). Subsequently, participants were categorized using Penalized Model-Based Clustering. P<0,05 was considered significant. Results Mean age was 60.4±13.4 yo and 79.0% patients were males. Mean ejection fraction was 29.3±7.0%. Overall, 16 phenotypic domains were isolated (figure 1) and 3 phenogroups were identified (Table 1). Phenogroup 1 was remarkable by isolated left ventricular involvement (LVTDD 64.3±5.9mm vs 73.9±8.7 in group 2 and 63.8±5.7 in group3, p<0.001) with moderate diastolic dysfunction (DD), no mitral regurgitation (MR) and no pulmonary hypertension (PH). Phenogroups 2 and 3 corresponded to patients with severe PH (TRMV: 2.93±0.47m/s in group 2 and 3.15±0.61m/s in groupe 3 vs 2.16±0.32m/s in group 1), related to severe DD (phenogroup 2) or MR (phenogroup 3). In both phenogroups, the left atrium was significantly enlarged and the right ventricle was remodeled, compared with phenogroup 1. Despite more severe remodeling and more compromised hemodynamic in phenogroups 2 and 3, the echocardiographic response to sacubitril/valsartan was comparable in all groups with similar improvement of EF and reduction of cardiac chambers dimensions (response of treatment, defined by improvement of FE +15% and/or decreased of indexed left ventricule diastolic volume −15% = group 2: 22 (76%); group 3: 18 (60%); group 1: 9 (50%); p=0.17; OR group 2 vs 1: OR=3.14; IC95% [0.9–11.03]; p=0.074; OR group 3 vs 1: OR=1.5; IC95% [0.46–4.87]; p=0.5)). The clinical response was even better in phenogroups 2 and 3 (Group 2: 19 (66%); group 3: 21 (78%) vs group 1: 9 (50%); p=0.05). Heat map Conclusion HF-REF patients with severe diastolic dysfunction, significant mitral regurgitation and elevated pulmonary hypertension by echocardiographic had similar reverse remodeling but better clinical improvement than patients with isolated left ventricular systolic dysfunction.


Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 830
Author(s):  
Ruxandra Nicoleta Horodinschi ◽  
Camelia Cristina Diaconu

Background: Heart failure (HF) and atrial fibrillation (AF) commonly coexist and patients with both diseases have a worse prognosis than those with HF or AF alone. The objective of our study was to identify the factors associated with one-year mortality in patients with HF and AF, depending on the left ventricular ejection fraction (LVEF). Methods: We included 727 patients with HF and AF consecutively admitted in a clinical emergency hospital between January 2018 and December 2019. The inclusion criteria were age of more than 18 years, diagnosis of chronic HF and AF (paroxysmal, persistent, permanent), and signed informed consent. The exclusion criteria were the absence of echocardiographic data, a suboptimal ultrasound view, and other cardiac rhythms than AF. The patients were divided into 3 groups: group 1 (337 patients with AF and HF with reduced ejection fraction (HFrEF)), group 2 (112 patients with AF and HF with mid-range ejection fraction (HFmrEF)), and group 3 (278 patients with AF and HF with preserved ejection fraction (HFpEF)). Results: The one-year mortality rates were 36.49% in group 1, 27.67% in group 2, and 27.69% in group 3. The factors that increased one-year mortality were chronic kidney disease (OR 2.35, 95% CI 1.45–3.83), coronary artery disease (OR 1.67, 95% CI 1.06–2.62), and diabetes (OR 1.66, 95% CI 1.05–2.67) in patients with HFrEF; and hypertension in patients with HFpEF (OR 2.45, 95% CI 1.36–4.39). Conclusions: One-year mortality in patients with HF and AF is influenced by different factors, depending on the LVEF.


2020 ◽  
Vol 9 (21) ◽  
Author(s):  
Zainali Chunawala ◽  
Patricia P. Chang ◽  
Andrew P. DeFilippis ◽  
Michael E. Hall ◽  
Kunihiro Matsushita ◽  
...  

Background Peripheral artery disease (PAD) is both a common comorbidity and a contributing factor to heart failure. Whether PAD is associated with hospitalization for recurrent decompensation among patients with established heart failure is uncertain. Methods and Results Since 2005, the ARIC (Atherosclerosis Risk in Communities) study has conducted active surveillance of hospitalized acute decompensated heart failure (ADHF), with events verified by physician review. From 2005 to 2016, 1481 patients were hospitalized with ADHF and discharged alive (mean age, 78 years; 69% White). Of these, 207 (14%) had diagnosis of PAD. Those with PAD were more often men (55% versus 44%) and smokers (17% versus 8%), with a greater prevalence of coronary artery disease (72% versus 52%). Patients with PAD had an increased risk of at least 1 ADHF readmission, both within 30 days (11% versus 7%) and 1 year (39% versus 28%) of discharge from the index hospitalization. After adjustments, PAD was associated with twice the hazard of ADHF readmission within 30 days (HR, 2.02; 95% CI, 1.14–3.60) and a 60% higher hazard of ADHF readmission within 1 year (HR, 1.60; 95% CI, 1.25–2.05). The 1‐year hazard of ADHF readmission associated with PAD was stronger with heart failure with reduced ejection fraction (HR, 2.01; 95% CI, 1.29–3.13) than preserved ejection fraction (HR, 1.04; 95% CI, 0.69–1.56); P for interaction=0.05. Conclusions Patients with ADHF and concomitant PAD have a higher likelihood of ADHF readmission. Strategies to prevent ADHF readmissions in this high‐risk group are warranted.


Pneumologia ◽  
2019 ◽  
Vol 68 (1) ◽  
pp. 15-20
Author(s):  
Carmen Ardelean ◽  
Daniel Lighezan ◽  
Raluca Morar ◽  
Sorin Pescariu ◽  
Stefan Mihăicuță

Abstract Background Patients with sleep apnea syndrome (SAS) and heart failure (HF) have concomitant different comorbidities and increased risk of morbidity. Aim The aim of this study was to analyze differences between patients with SAS and heart failure with preserved ejection fraction (HFpEF; ejection fraction [EF]≥50%) – group 1 and those with SAS and heart failure with reduced ejection fraction (HFrEF; EF<50%) – group 2. Methods We evaluated 51 patients with SAS and HF in the sleep laboratory of Timisoara Victor Babes Hospital. We collected general data, sleep questionnaires, anthropometric measurements (neck circumference [NC], abdominal circumference [AC]), somnography for apnea–hypopnea index (AHI), oxygen desaturation index (ODI), echocardiographic data, comorbidities, and laboratory test. Results The study included 51 patients who were divided into two groups depending on EF, with the following characteristics: Group 1 (HFpEF): 26 patients, 19 males, seven females, age 61.54±9.1 years, body mass index (BMI) 37±6.4 kg/m2, NC 45.4±3.6 cm, AC 126.6±12.9 cm, AHI 48.3±22.6 events/hour, central apnea 5.6±11.4 events/hour, obstructive apnea 25.7±18.7 events/hour, ODI 41.2±21.2/hour and lowest SpO2 –72.1±14%. Group 2 (HFrEF): 25 patients, 18 males, seven females, age 63.6±8.8 years, BMI 37.9±7.5 kg/m2, NC 46±4.4 cm, AC 127.2±13.9 cm, AHI 46.4±21.7 events/hour, central apnea 4.6±8.3 events/hour, obstructive apnea 25.9±18.5 events/hour, ODI 44.8±27.1/hour and lowest SpO2 –70.6±12.1%. Differences between groups regarding anthropometric and somnographic measurements and lipidic profile were not statistically significant. Significant differences were observed regarding stroke (23% vs. 4%, p=0.04) in the group with HFpEF and regarding creatinine measurements (1.1±0.2 vs. 1.4±0.7, p=0.049), aortic insufficiency (11.5% vs. 36%, p=0.04) and tricuspid insufficiency (6.1% vs. 80%, p=0.01) in the group with HFrEF. Conclusions Patients with SAS and HFpEF have a higher risk of stroke. Patients with SAS and HFrEF have a significantly increased risk of developing a life-long chronic kidney disease and aortic and tricuspid insufficiency. These results may suggest pathogenic links between SAS and the mentioned comorbidities, and this may explain the higher mortality when this association is present.


2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
GE Mandoli ◽  
MC Pastore ◽  
G Benfari ◽  
M Setti ◽  
DO Nistor ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. Background in heart failure with reduced ejection fraction (HFrEF) the chronic increase of filling pressures progressively involves left atrium (LA), pulmonary circulation (PC) and right ventricle (RV), leading to worse outcome. Purpose we investigated the prognostic impact of either isolate LA impairment, RV dysfunction combined with pulmonary hypertension, or both, in HFrEF, using basic and advanced echocardiography. Methods 106 outpatients with HFrEF were enrolled. Exclusion criteria were primary lung disease, non-sinus rhythm, previous cardiac surgery, poor acoustic window. Clinical examination and basic echocardiography were performed. Speckle tracking analysis was used to measure peak atrial longitudinal strain (PALS) and a new marker of interaction between RV and PC: absolute free wall RV longitudinal strain(fwRVLS)/systolic pulmonary artery pressure(sPAP). Patients were followed for all-cause or cardiovascular death and heart failure (HF) hospitalization. Results of 84 eligible patients [mean age: 60.1 ± 11.5; 82% male, mean left ventricular ejection fraction (LV EF) 28 ± 5%], 48 reached the combined endpoint. Population was divided into 3 groups: Group 1 [PALS≥15 and fwRVLS/sPAP ≤ 0.5]; Group 2 [PALS ≤ 15 and fwRVLS/sPAP ≤ 0.5 or PALS≥15 and fwRVLS/sPAP≥0.5]; Group 3 [PALS ≤ 15 and fwRVLS/sPAP≥0.5]. Mean follow-up was 3.5 ± 0.3years. The increasing severity groups were associated with higher LA volume index (LAVI), New York Heart Association (NYHA) class, mitral regurgitation (MR) and tricuspid regurgitation (TR) grades, lower LV EF, LV global longitudinal strain (GLS), PALS, tricuspid annular plane systolic excursion (TAPSE), sPAP, fwRVLS and global RVLS(p &lt; 0.0001). Reduced PALS and fwRVLS/sPAP were independent predictors of NYHA &gt; 2 at univariate and multivariate analysis adjusted for age, sex, LV EF, and of any events with adjusted Cox models (Table 1). Kaplan-Meier curves showed a clear divergence between the groups for the prediction of the combined endpoint (Fig.1), cardiovascular death and HF hospitalization. Conclusions the combination of LA and RV damage could represent the transition point to end-stage HF, with considerably worse prognosis. Its assessment with PALS and fwRVLS/sPAP could help risk stratification of HFrEF patients in order to provide early treatment. Table 1 Unadjusted hazard ratio [95% CI] Adjusted for GLS hazard ratio [95% CI] Adjusted for GLS, LAVi, TR, RVFAC hazard ratio [95% CI] Group 3 vs 1 10.61 [4.16-27.06], p &lt; 0.0001 10.24 [3.49-30.02], p &lt; 0.0001 9.54 [2.95-30.92], p = 0.0002 Group 3 vs 2 3.90 [1.92-7.93], p = 0.0002 3.82 [1.74-8.36], p = 0.0008 3.78 [1.66-8.61], p = 0.002 Group 2 vs 1 2.72 [1.03-7.20], p = 0.04 2.69 [0.99-7.25], p = 0.05 2.53 [0.84-7.58], p = 0.1 CI, confidence interval; EF, ejection fraction; GLS, global longitudinal strain;LAVI, left atrial volume index; MR, mitral regurgitation, TR, tricuspid regurgitation Abstract Figure. Fig.1


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