scholarly journals Right ventricular dysfunction is a predictor of non-response to cardiac resynchronization therapy

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
M Neves Pereira ◽  
P.V.H Leite ◽  
G Dias ◽  
A.F Cardoso ◽  
M Tinoco ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Multivariate Analysis ◽  
Ejection Fraction ◽  
Cardiac Resynchronization Therapy ◽  
Right Ventricular ◽  
Cardiac Resynchronization ◽  
Left Ventricular Ejection ◽  
Resynchronization Therapy ◽  
The Mean ◽  
Crt Response

Abstract Introduction Cardiac resynchronization therapy (CRT) has been of great benefit to many heart failure (HF) patients with reduced ejection fraction (EF) and intraventricular conduction delay. However, approximately 30% of patients fail to respond to CRT. We investigated baseline characteristics that might influence response to CRT. Methods We retrospectively enrolled 227 patients undergoing CRT implantation between 2013 and 2020 according to the guidelines. 118 patients were included in our analysis, from whom all data were available. Clinical, electrocardiographic and echocardiographic parameters were evaluated at baseline and 6 months after CRT implantation. Response to CRT was defined as an increase in left ventricular ejection fraction (LVEF) >10%. Right ventricular systolic dysfunction (RVSD) was defined as S' velocity <9.5 cm/s or tricuspid anular plane systolic excursion (TAPSE) <17 mm. Chronic kidney disease (CKD) was defined as GFR <60 ml/min/1.73m2. Results 118 patients were included (mean age 69±11 years, 66.1% males, 39.8% ischemic etiology; 35,6% atrial fibrillation, baseline LVEF 27,6±6%). After 6 months of CRT, 65 patients (55.1%) were considered responders. Responders were more frequently female than non responders (43,1% vs 22,6, p=0.02). Atrial fibrillation and CKD were more prevalent in non responders (47,2% vs 26,2%, p=0.018; 62,3% vs 21,5%, p<0.001, respectively). RVSD was present in 60,4% of non responders vs 16,9% of responders (p<0.001). In responder group, the mean S' velocity was 10,9±2,1 cm/s vs 9,1±2,1 cm/s in non responder group, p<0.001. The mean TAPSE was also higher in responder group (20,3±7,2 mm vs 16,5±4,4 mm, p=0.031). On multivariate analysis only RVSD (OR 7,754; 95% CI 2,968 – 20,282 p<0.001] and CKD (OR 5,434; 95% CI 2,109 – 14,002; p<0.001) were independently associated with non-response to CRT. Conclusion From a range of preoperative characteristics, multivariate analysis only identified RVSD and CKD as independent predictors of CRT response, with S' <9,5 cm/s and TAPSE <17 mm associated with non-response to CRT. This study highlights the importance of routine RV assessment in order to improve patient selection and optimize CRT response in heat failure patients. FUNDunding Acknowledgement Type of funding sources: None.

scholarly journals Importance of systematic right ventricular assessment in cardiac resynchronization therapy candidates: a machine-learning approach

2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
E Galli ◽  
V Le Rolle ◽  
OA Smiseth ◽  
J Duchenne ◽  
JM Aalen ◽  
...  
Keyword(s):  
Machine Learning ◽  
Heart Failure ◽  
Cardiac Resynchronization Therapy ◽  
Right Ventricular ◽  
Systolic Heart Failure ◽  
Left Ventricular ◽  
Supervised Machine Learning ◽  
Cardiac Resynchronization ◽  
Resynchronization Therapy ◽  
Crt Response

Abstract Funding Acknowledgements Type of funding sources: None. Background Despite having all a systolic heart failure and broad QRS, patients proposed for cardiac resynchronization therapy (CRT) are highly heterogeneous and it remains extremely complicated to predict the impact of the device on left ventricular (LV) function and outcomes. Objectives We sought to evaluate the relative impact of clinical, electrocardiographic, and echocardiographic data on the left ventricular (LV) remodeling and prognosis of CRT-candidates by the application of machine learning (ML) approaches. Methods 193 patients with systolic heart failure undergoing CRT according to current recommendations were prospectively included in this multicentre study. We used a combination of the Boruta algorithm and random forest methods to identify features predicting both CRT volumetric response and prognosis (Figure 1). The model performance was tested by the area under the receiver operating curve (AUC). We also applied the K-medoid method to identify clusters of phenotypically-similar patients. Results From 28 clinical, electrocardiographic, and echocardiographic-derived variables, 16 features were predictive of CRT-response; 11 features were predictive of prognosis. Among the predictors of CRT-response, 7 variables (44%) pertained to right ventricular (RV) size or function. Tricuspid annular plane systolic excursion was the main feature associated with prognosis. The selected features were associated with a very good prediction of both CRT response (AUC 0.81, 95% CI: 0.74-0.87) and outcomes (AUC 0.84, 95% CI: 0.75-0.93) (Figure 1, Supervised Machine Learning Panel). An unsupervised ML approach allowed the identifications of two phenogroups of patients who differed significantly in clinical and parameters, biventricular size and RV function. The two phenogroups had significant different prognosis (HR 4.70, 95% CI: 2.1-10.0, p < 0.0001; log –rank p < 0.0001; Figure 1, Unsupervised Machine Learning Panel). Conclusions Machine learning can reliably identify clinical and echocardiographic features associated with CRT-response and prognosis. The evaluation of both RV-size and function parameters has pivotal importance for the risk stratification of CRT-candidates and should be systematically assessed in patients undergoing CRT. Abstract Figure 1

Ventricular arrhythmia risk is associated with myocardial scar but not with response to cardiac resynchronization therapy

EP Europace ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. 1391-1400
Author(s):  
Markus Linhart ◽  
Adelina Doltra ◽  
Juan Acosta ◽  
Roger Borràs ◽  
Beatriz Jáuregui ◽  
...  
Keyword(s):  
Ventricular Arrhythmia ◽  
Cardiac Resynchronization Therapy ◽  
Primary Outcome ◽  
Left Ventricular ◽  
Myocardial Scar ◽  
Cardiac Resynchronization ◽  
Left Ventricular Ejection ◽  
Resynchronization Therapy ◽  
Ischaemic Cardiomyopathy ◽  
Crt Response

Abstract Aims Sudden cardiac death (SCD) risk estimation in patients referred for cardiac resynchronization therapy (CRT) remains a challenge. By CRT-mediated improvement of left ventricular ejection fraction (LVEF), many patients loose indication for primary prevention implantable cardioverter-defibrillator (ICD). Increasing evidence shows the importance of myocardial scar for risk prediction. The aim of this study was to investigate the prognostic impact of myocardial scar depending on the echocardiographic response in patients undergoing CRT. Methods and results Patients with indication for CRT were prospectively enrolled. Decision about ICD or pacemaker implantation was based on clinical criteria. All patients underwent delayed-enhancement cardiac magnetic resonance imaging. Median follow-up duration was 45 (24–75) months. Primary outcome was a composite of sustained ventricular arrhythmia, appropriate ICD therapy, or SCD. A total of 218 patients with LVEF 25.5 ± 6.6% were analysed [158 (73%) male, 64.9 ± 10.7 years]. Myocardial scar was observed in 73 patients with ischaemic cardiomyopathy (ICM) (95% of ICM patients); in 62 with non-ischaemic cardiomyopathy (45% of these patients); and in all but 1 of 36 (17%) patients who reached the primary outcome. Myocardial scar was the only significant predictor of primary outcome [odds ratio 27.7 (3.8–202.7)], independent of echocardiographic CRT response. A total of 55 (25%) patients died from any cause or received heart transplant. For overall survival, only a combination of the absence of myocardial scar with CRT response was associated with favourable outcome. Conclusion Malignant arrhythmic events and SCD depend on the presence of myocardial scar but not on CRT response. All-cause mortality improved only with the combined absence of myocardial scar and CRT response.

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