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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
Predictors of appropriate ICD therapy in patients with implantable cardioverter-defibrillator
Mohammad Reza Dehghani1, Arash Arya, Majid Haghjoo
1Department of Pacemaker and Electrophysiology, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Mellat Park, Vali-e-Asr Avenue, Tehran 1996911151, Iran.
Insights
Male gender, dilated cardiomyopathy, and prolonged QRS width predict appropriate implantable cardioverter defibrillator (ICD) therapy. QRS width can help identify patients who will benefit most from ICD implantation.
Area of Science:
- Cardiology
- Electrophysiology
- Medical Devices
Background:
- Identifying appropriate candidates for implantable cardioverter defibrillator (ICD) implantation is crucial for effective therapy.
- Predictors of appropriate ICD therapy can refine patient selection for primary and secondary prevention.
Purpose of the Study:
- To identify predictors of appropriate implantable cardioverter defibrillator (ICD) therapy.
- To evaluate the role of QRS width as a risk stratifier for ICD recipients.
Main Methods:
- Retrospective analysis of 162 patients with ICDs (coronary artery disease [CAD] and dilated cardiomyopathy [DCM]).
- Collected clinical, electrocardiographic, and device data.
- Binary logistic regression analysis to determine predictors of appropriate ICD therapy (AICDT).
Main Results:
- 33% of patients received appropriate ICD therapy (AICDT) during follow-up.
- Male gender, DCM, and QRS width > 100 ms were significant predictors of AICDT.
- QRS duration > 100 ms predicted AICDT in both CAD and DCM subgroups.
Conclusions:
- QRS width is a simple, additional risk stratifier for identifying patients who will benefit from ICD implantation.
- Patient selection for ICDs may be improved, particularly in resource-limited settings.
- The indication for ICD implantation (primary vs. secondary prevention) did not influence AICDT probability.
Background:
Understanding the predictors of appropriate implantable cardioverter defibrillator (ICD) therapy could help to better identify candidates for ICD implantation.
Methods:
One hundred and sixty two patients with ICD (111 with coronary artery disease [CAD] and 51 with dilated cardiomyopathy [DCM]) were included in the study. Clinical, electrocardiographic, and ICD stored data and electrograms were collected.
Results:
During mean follow up of 15+/-11 months 54 patients (33%) received > or = 1 appropriate ICD therapy (AICDT). We used binary logistic regression analysis with forward selection method to find the potential predictors of appropriate ICD therapy after device implantation. Male gender (odds ratio [OR] = 2.76, 95% confidence interval [CI] = 1.1-7.1, P=0.021), DCM as underlying heart disease (OR = 4.2, 95% CI = 1.9-9.5, P=0.001), and QRS width > 100 ms (OR = 2.58, 95% CI = 1.2-5.4, P=0.010) were correlated with increased likelihood of AICDT during the follow up period. In subgroup analysis of the patients with CAD and DCM, QRS duration > 100 ms was correlated with the probability of > or = 1 AICDT. In our patients indication of ICD implantation (primary versus secondary prevention) did not influence probability of > or = 1 AICDT (adjusted OR = 1.66, 95% CI = 0.7-4.0, Mantel-Haenszel P value P=0.355).
Conclusion:
QRS width could be used as an additional simple risk stratifier beyond EF to identify potential candidates who would benefit more from ICD implantation. This may have practical implications for patient selection especially in developing countries. Indication of ICD implantation (primary versus secondary prevention) did not affect the probability of > or = 1 AICDT during the follow up period.
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