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A New Single Chamber Implantable Defibrillator with Atrial Sensing: A Practical Demonstration of Sensing and Ease of Implantation
Published on: February 28, 2012
Implantable cardioverter-defibrillator in cardiac sarcoidosis: A propensity-score matched analysis
Gabriel Yeap1, Hritvik Jain2, Nandan Patel2
1Newcastle University Medical School, United Kingdom.
Implantable cardioverter-defibrillators (ICDs) in cardiac sarcoidosis (CS) reduced mortality and transplantation but increased heart failure and arrhythmias. Real-world data shows mixed outcomes, requiring cautious interpretation due to potential biases.
Area of Science:
- Cardiology
- Electrophysiology
- Sarcoidosis Research
Background:
- Cardiac sarcoidosis (CS) poses a risk of sudden cardiac death.
- Implantable cardioverter-defibrillators (ICDs) are utilized for prevention, but real-world effectiveness is debated.
- Treatment-selection bias can influence observed outcomes in CS patients.
Purpose of the Study:
- To evaluate the real-world effectiveness of ICDs in patients with cardiac sarcoidosis.
- To assess the impact of ICD implantation on mortality, cardiac events, and healthcare utilization.
- To address uncertainties regarding ICD efficacy in CS, considering potential biases.
Main Methods:
- Retrospective cohort study using the TriNetX Global Collaborative Network.
- Propensity-score matching (1:1) balanced 4,554 adult CS patients (2,277 per cohort).
- Primary composite endpoint: all-cause mortality, heart failure exacerbation, cardiac transplantation, ventricular arrhythmia.
Main Results:
- ICD use was linked to reduced all-cause mortality (RR 0.83) and cardiac transplantation (RR 0.66).
- Higher risks observed for heart failure exacerbation (RR 1.06) and ventricular arrhythmia (RR 1.70) in ICD recipients.
- ICD recipients showed increased heart failure diagnoses (RR 1.11) and rehospitalisations (RR 1.18).
Conclusions:
- ICD implantation in cardiac sarcoidosis is associated with decreased mortality and transplantation rates.
- Findings suggest increased morbidity and healthcare utilization alongside survival benefits.
- Results must be interpreted cautiously due to potential selection bias and differential surveillance in real-world data.
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