Optimizing Cardiac Resynchronization Therapy Devices in Follow-up to Improve Response Rates and Outcomes

2019 ◽  
Vol 11 (1) ◽  
pp. 89-98 ◽  
Author(s):  
Jose María Tolosana ◽  
Josep Brugada
Keyword(s):  
Cardiac Resynchronization Therapy ◽  
Response Rates ◽  
Cardiac Resynchronization ◽  
Resynchronization Therapy ◽  
Cardiac Resynchronization Therapy Devices

scholarly journals Exploring sex-specific patterns of mortality predictors among patients undergoing cardiac resynchronization therapy: a machine learning approach

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Tokodi ◽  
A Behon ◽  
E.D Merkel ◽  
A Kovacs ◽  
Z Toser ◽  
...  
Keyword(s):  
Machine Learning ◽  
Sex Differences ◽  
Cardiac Resynchronization Therapy ◽  
Cardiac Resynchronization ◽  
Funding Source ◽  
Resynchronization Therapy ◽  
Test Set ◽  
All Cause Mortality ◽  
Mortality Predictors

Abstract Background The relative importance of variables explaining sex differences in outcomes is scarcely explored in patients undergoing cardiac resynchronization therapy (CRT). Purpose We sought to implement and evaluate machine learning (ML) algorithms for the prediction of 1- and 3-year all-cause mortality in patients undergoing CRT implantation. We also aimed to assess the sex-specific differences and similarities in the predictors of mortality using ML approaches. Methods A retrospective registry of 2191 CRT patients (75% males) was used in the current analysis. ML models were implemented in 6 partially overlapping patient subsets (all patients, females or males with 1- or 3-year follow-up data available). Each cohort was randomly split into a training (80%) and a test set (20%). After hyperparameter tuning with 10-fold cross-validation in the training set, the best performing algorithm was also evaluated in the test set. Model discrimination was quantified using the area under the receiver-operating characteristic curves (AUC) and the associated 95% confidence intervals. The most important predictors were identified using the permutation feature importances method. Results Conditional inference random forest exhibited the best performance with AUCs of 0.728 [0.645–0.802] and 0.732 [0.681–0.784] for the prediction of 1- and 3-year mortality, respectively. Etiology of heart failure, NYHA class, left ventricular ejection fraction and QRS morphology had higher predictive power in females, whereas hemoglobin was less important than in males. The importance of atrial fibrillation and age increased, whereas the relevance of serum creatinine decreased from 1- to 3-year follow-up in both sexes. Conclusions Using advanced ML techniques in combination with easily obtainable clinical features, our models effectively predicted 1- and 3-year all-cause mortality in patients undergoing CRT implantation. The in-depth analysis of features has revealed marked sex differences in mortality predictors. These results support the use of ML-based approaches for the risk stratification of patients undergoing CRT implantation. Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): National Research, Development and Innovation Office of Hungary

Fragmented QRS, a predictor of clinical events in patients on cardiac resynchronization therapy

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
J Martinez Milla ◽  
C Garcia-Talavera ◽  
B Arroyo ◽  
A Camblor ◽  
A Garcia-Ropero ◽  
...  
Keyword(s):  
Cardiac Resynchronization Therapy ◽  
Cardiovascular Events ◽  
Hospital Admissions ◽  
Multivariate Logistic Regression Analysis ◽  
Cardiac Resynchronization ◽  
Resynchronization Therapy ◽  
Coronary Syndrome ◽  
Clinical Events ◽  
Increased Risk

Abstract Introduction Cardiac resynchronization therapy with defrilator (CRT-D) has been shown to reduce mortality in HFrEF. The width and morphology of the QRS are essential when deciding on the implantation of these devices. QRS fragmentation (fQRS) has been shown to be a good predictor of cardiovascular events in certain patients, but its role in patients with CRT-D has not been studied. The aim of this study is to determine whether the presence of a fQRS at the time of CRT-D implantation can predict clinical events. Methods All patients who underwent CRT-D implantation from 2010 to 2017 were included. Patients' ECG were evaluated at the time of implantation, and the incidence of clinical events during follow-up was also assessed. fQRS was defined as the presence of an RSR' pattern with a notch in the R wave or in the ascending or descending branch of the S wave in two continuous leads on the ECG. Results We studied 131 patients (mean age 73 years, 76.5% male). The mean follow-up period was 37±26 months. No difference in baseline characteristics was found (Table 1); the proportion of fQRS was 48.9%. 25 patients (19.1%) had hospital admissions secondary to cardiovascular causes (heart failure, arrhythmic events, acute coronary syndrome, and death from other causes). We performed a multivariate logistic regression analysis aiming at an association between the presence of fQRS and the increased risk of hospital admissions due to cardiovascular causes OR 2.92 (95% CI: 1.04–8.21, P=0.04). Conclusion The presence of a fQRS at the time of implantation of a CRT-D is an independent predictor of hospital admissions due to cardiovascular causes. Therefore this could be a useful marker to identify the population at high risk of cardiovascular events, for this we consider necessary to conduct future studies and thus assess the value of the fQRS for the selection of patients requiring closer monitoring thus avoiding further hospital admissions. Funding Acknowledgement Type of funding source: None

The distribution of ICD therapy by extent of response to cardiac resynchronization therapy; results of long term clinical follow up

2013 ◽  
Vol 34 (suppl 1) ◽  
pp. P3161-P3161
Author(s):  
A. C. Van Der Heijden ◽  
U. Hoke ◽  
C. J. W. Borleffs ◽  
J. Thijssen ◽  
J. B. Van Rees ◽  
...  
Keyword(s):  
Cardiac Resynchronization Therapy ◽  
Cardiac Resynchronization ◽  
Resynchronization Therapy ◽  
Icd Therapy

NISAR-F SCORE: a simple risk stratification tool for patients implanted with cardiac resynchronization therapy

EP Europace ◽  
2021 ◽  
Vol 23 (Supplement_3) ◽  
Author(s):  
J Correia ◽  
L Goncalves ◽  
I Pires ◽  
J Santos ◽  
V Neto ◽  
...  
Keyword(s):  
Ejection Fraction ◽  
Cardiac Resynchronization Therapy ◽  
Cox Regression ◽  
Nyha Class ◽  
Prognostic Score ◽  
Roc Curves ◽  
Cardiac Resynchronization ◽  
Class Iii ◽  
Resynchronization Therapy

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Individualized estimation of prognosis after cardiac resynchronization therapy (CRT) remains challenging. Outcomes in this group of patients are influenced by multiple factors and a comprehensive and customized approach to estimate prognosis after CRT is lacking Aims To develop and validate a simple prognostic score for patients implanted with CRT (NISAR-F score), based on readily available clinical and echocardiographic variables to predict the combined endpoints of death or hospitalization in 24 months. Methods A single-centre retrospective study was conducted with inclusion of all consecutive patients who underwent CRT implantation between 2012 and 2019. Follow-up started after CRT implantation and ended upon death, hospitalization or 24 months after study entry. Survival analysis was performed using a multivariate Cox regression model, in order to analyze the effect on survival /hospitalization in 24 months of the following factors: age, gender, NYHA Class III-IV, ischemic heart failure, type 2 diabetes, arterial hypertension, dyslipidemia and ejection fraction < 21%. According to the analysis, points were attributed to each factor. Afterwards, the NISAR-F score was calculated for each patient, summing the points of each variable. The authors finally created ROC curves for the NISAR-F score to predict the occurrence of the combined endpoint in 2 groups of patients: CRT responders (ejection fraction increase of at least 10% after CRT implantation) and CRT non-responders. The statistical analysis was performed in SPSS. Results 102 patients were included in the study (75.4% male, mean age 68 ± 10.46 years). 10(9.8%) of the patients were re-hospitalized and 8 (7.8%) died during the 24-month follow-up.  After calculating NISAR-F score for each patient, area under ROC curves were obtained. The analysis of the ROC curves allows us to confirm the good performance of the score created [responders group (AUC 0.812) vs non-responders (AUC 0.721)]. Conclusion The NISAR-F score is a useful tool to predict the combined endpoint (mortality and hospitalization in 24 months) after CRT implantation, in both responders and non-responders, revealing good performance of this new and simple score based only on clinical and echocardiographic variables.

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