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Impact of Intracardiac Neurons on Cardiac Electrophysiology and Arrhythmogenesis in an Ex Vivo Langendorff System
Published on: May 22, 2018
Cardiac sympathetic innervation and mortality risk scores in patients with heart failure
Leonardo Bencivenga1,2, Klara Komici3, Stefania Paolillo1
1Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
Insights
Clinical risk scores and cardiac sympathetic innervation show a weak association in heart failure patients. Integrating both arrhythmic and general mortality risk tools is suggested for device implantation decisions.
Area of Science:
- Cardiology
- Nuclear Medicine
- Medical Imaging
Background:
- 123I-meta-IodineBenzylGuanidine (123I-mIBG) scintigraphy assesses cardiac adrenergic innervation for heart failure (HF) risk stratification.
- Clinical risk scores identify HF patients at risk of all-cause mortality, potentially impacting device implantation benefits.
- The relationship between arrhythmic risk indicators (innervation) and general mortality risk scores needs investigation.
Purpose of the Study:
- To evaluate the correlation between established mortality risk scores and cardiac sympathetic innervation in HF patients.
- To determine if risk scores can predict cardiac adrenergic impairment assessed by 123I-mIBG imaging.
Main Methods:
- The study included 269 HF patients who underwent 123I-mIBG scintigraphy.
- Eight risk stratification models (AAACC, FADES, MADIT, etc.) were assessed.
- Cardiac adrenergic impairment was defined by a late heart-to-mediastinum ratio (H/M) <1.6.
Main Results:
- A significant, though generally weak, negative correlation was found between late H/M ratio and all assessed mortality risk scores (r ranging from -0.15 to -0.32).
- Risk scores demonstrated poor discrimination for cardiac innervation, with AUC values between 0.546 and 0.621.
- The FADES score showed the strongest correlation (r=-0.32) and discrimination (AUC=0.621) among the models evaluated.
Conclusions:
- A weak association exists between mortality risk scores and cardiac sympathetic innervation in HF patients.
- Clinical practice should consider integrating tools assessing both arrhythmic and general mortality risks for device implantation decisions in HF.
- Further research may refine the combined use of these tools for optimal patient selection.
Introduction:
In the risk stratification and selection of patients with heart failure (HF) eligible for implantable cardioverter-defibrillator (ICD) therapy, 123 I-meta-IodineBenzylGuanidine (123 I-mIBG) scintigraphy has emerged as an effective non-invasive method to assess cardiac adrenergic innervation. Similarly, clinical risk scores have been proposed to identify patients with HF at risk of all-cause mortality, for whom the net clinical benefit of device implantation would presumably be lower. Nevertheless, the association between the two classes of tools, one suggestive of arrhythmic risk, the other of all-cause mortality, needs further investigation.
Objective:
To test the relationship between the risk scores for predicting mortality and cardiac sympathetic innervation, assessed through myocardial 123 I-mIBG imaging, in a population of patients with HF.
Methods:
In HF patients undergoing 123 I-mIBG scintigraphy, eight risk stratification models were assessed: AAACC, FADES, MADIT, MADIT-ICD non-arrhythmic mortality score, PACE, Parkash, SHOCKED and Sjoblom. Cardiac adrenergic impairment was assessed by late heart-to-mediastinum ratio (H/M) <1.6.
Results:
Among 269 patients suffering from HF, late H/M showed significant negative correlation with all the predicting models, although generally weak, ranging from -0.15 (p = .013) for PACE to -0.32 (p < .001) for FADES. The scores showed poor discrimination for cardiac innervation, with areas under the curve (AUC) ranging from 0.546 for Parkash to 0.621 for FADES.
Conclusion:
A weak association emerged among mortality risk scores and cardiac innervation, suggesting to integrate in clinical practice tools indicative of both arrhythmic and general mortality risks, when evaluating patients affected by HF eligible for device implantation.
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