scholarly journals Full blood count as potential predictor of outcomes in patients undergoing cardiac resynchronization therapy

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Nikolaos Papageorgiou ◽  
Debbie Falconer ◽  
Adam Ioannou ◽  
Tanakal Wongwarawipat ◽  
Sergio Barra ◽  
...  
Keyword(s):  
Platelet Count ◽  
Cardiac Resynchronization Therapy ◽  
Blood Count ◽  
Cardiac Resynchronization ◽  
Full Blood Count ◽  
Red Cell ◽  
Resynchronization Therapy ◽  
Lv Remodeling ◽  
All Cause Mortality

Abstract Almost a third of patients fulfilling current guidelines criteria have suboptimal responses following cardiac resynchronization therapy (CRT). Circulating biomarkers may help identify these patients. We aimed to assess the predictive role of full blood count (FBC) parameters in prognosis of heart failure (HF) patients undergoing CRT device implantation. We enrolled 612 consecutive CRT patients and FBC was measured within 24 hours prior to implantation. The follow-up period was a median of 1652 days (IQR: 837–2612). The study endpoints were i) composite of all-cause mortality or transplant, and ii) reverse left ventricular (LV) remodeling. On multivariate analysis [hazard ratio (HR), 95% confidence interval (CI)] only red cell count (RCC) (p = 0.004), red cell distribution width (RDW) (p < 0.001), percentage of lymphocytes (p = 0.03) and platelet count (p < 0.001) predicted all-cause mortality. Interestingly, RDW (p = 0.004) and platelet count (p = 0.008) were independent predictors of reverse LV remodeling. This is the first powered single-centre study to demonstrate that RDW and platelet count are independent predictors of long-term all-cause mortality and/or heart transplant in CRT patients. Further studies, on the role of these parameters in enhancing patient selection for CRT implantation should be conducted to confirm our findings.

scholarly journals Role of obstructive sleep apnea on the response to cardiac resynchronization therapy and all-cause mortality

Heart Rhythm ◽  
2018 ◽  
Vol 15 (9) ◽  
pp. 1283-1288 ◽  
Author(s):  
Ghanshyam Shantha ◽  
Amgad Mentias ◽  
Naga Venkata K. Pothineni ◽  
Prashant D. Bhave ◽  
Tyler Rasmussen ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Cardiac Resynchronization Therapy ◽  
Cardiac Resynchronization ◽  
Resynchronization Therapy ◽  
Obstructive Sleep ◽  
All Cause Mortality

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

scholarly journals Outcomes of Cardiac Resynchronization Therapy in Patients with Hypothyroidism and Heart Failure

2020 ◽  
Author(s):  
MEI YANG ◽  
Xuping Li ◽  
John C. Morris III ◽  
Jinjun Liang ◽  
Abhishek J. Deshmukh ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiac Resynchronization Therapy ◽  
Implantable Cardioverter Defibrillator ◽  
Hazard Ratio ◽  
Cardiac Resynchronization ◽  
Resynchronization Therapy ◽  
Therapy Outcomes ◽  
Implantable Cardioverter Defibrillator Therapy ◽  
Cardioverter Defibrillator ◽  
All Cause Mortality

Abstract Background Hypothyroidism is known to be associated with adverse clinical outcomes in heart failure. The association between hypothyroidism and cardiac resynchronization therapy outcomes in patients with severe heart failure is not clear. Methods The study included 1,316 patients who received cardiac resynchronization therapy between 2002 and 2015. Baseline demographics and cardiac resynchronization therapy outcomes, including left ventricular ejection fraction, New York Heart Association class, appropriate implantable cardioverter-defibrillator therapy, and all-cause mortality, were collected from the electronic health record. Results Of the study cohort, 350 patients (26.6%) were classified as the hypothyroidism group. The median duration of follow-up was 3.6 years (interquartile range, 1.7-6.2). Hypothyroidism was not associated with a higher risk of all-cause mortality in patients receiving CRT for heart failure. The risk of appropriate implantable cardioverter-defibrillator therapy significantly increased in association with increased baseline thyroid -stimulating hormone level in the entire cohort (hazard ratio, 1.23 per 5mIU/L increase; 95% CI, 1.01-1.5; P=0.04) as well as in the hypothyroid group (hazard ratio, 1.44 per 5mIU/L increase; 95% CI, 1.13-1.84; P=0.004). Conclusions CRT improves cardiac function in hypothyroid patients. The ventricular arrhythmic events requiring ICD therapies are associated with baseline TSH level, which might be considered as an important biomarker to stratify the risk of sudden death for patients with heart failure and hypothyroidism.

scholarly journals Role of sCD40L in the prediction of super-response to cardiac resynchronization therapy

2021 ◽  
Author(s):  
C. Pujol ◽  
N. Varo Cenarruzabeitia ◽  
M. Rodríguez Mañero ◽  
J. Barba ◽  
S. Castaño Rodríguez ◽  
...  
Keyword(s):  
Cardiac Resynchronization Therapy ◽  
Cardiac Resynchronization ◽  
Resynchronization Therapy
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