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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
Predicting long-term survival after de novo cardioverter-defibrillator implantation for primary prevention: A
Chang Nancy Wang1,2, Zihang Lu3, Christopher S Simpson4,5,6
1Division of Cardiology, Department of Medicine, Western University, London, Ontario, Canada.
Insights
Implantable cardioverter-defibrillators (ICDs) are crucial for preventing sudden cardiac death. This study predicts 10-year survival in ICD patients using baseline factors, aiding personalized prevention strategies.
Area of Science:
- Cardiology
- Medical Devices
- Public Health
Background:
- Implantable cardioverter-defibrillators (ICDs) are established for short-term mortality benefit in patients with left ventricular dysfunction.
- Long-term outcomes and survival prediction in real-world ICD patient populations remain less understood.
- This study focuses on long-term survival following de novo ICD implantation for primary prevention.
Purpose of the Study:
- To describe the long-term survival of patients after de novo ICD implantation for primary prevention in a clinical practice setting.
- To identify predictive factors for long-term survival in patients receiving ICDs.
- To develop a model for predicting 10-year survival in this patient group.
Main Methods:
- A retrospective, population-based study utilizing the Ontario ICD Database (2007-2011).
- Patients receiving de novo ICDs for primary prevention were included.
- Cox proportional hazards regression was employed to identify predictors and model 10-year survival, with validation.
Main Results:
- The study included 3399 patients with a mean age of 65.3 years; 19.5% were female, and 69.0% had ischemic cardiomyopathy.
- Ten-year survival was 45.7% (95% CI: 44.0%-47.4%).
- A prediction model incorporating demographic, disease, patient factors, and biomarkers demonstrated good discrimination and calibration (derivation: 0.79, validation: 0.78).
Conclusions:
- Baseline demographic and clinical factors accurately predict 10-year survival in ICD patients.
- The developed prediction model can identify individuals at higher risk for long-term mortality.
- Findings support targeted prevention strategies to improve longevity in high-risk ICD populations.
Background:
Implantable cardioverter-defibrillators (ICDs) reduce the risk of sudden cardiac death in patients with left ventricular dysfunction. While short-term mortality benefit of ICD insertion has been established in landmark randomized controlled trials, little is known about the long-term outcomes of patients with ICDs in clinical practice. In this paper, we describe the long-term survival of patients following de novo ICD implantation for primary prevention in clinical practice and determine the factors which help predict survival after ICD implant.
Methods:
Retrospective population-based study of all patients receiving a de novo ICD for primary prevention in Ontario, Canada from 2007 to 2011 using the Ontario ICD Database housed within ICES. Simple random selection was used to split the population into a derivation and internal validation cohort in a ratio of 2:1. Cox proportional hazards regression was used to determine predictors of interest and predict 10-year survival, model performance was assessed using calibration and validation.
Results:
In the derivation cohort (n = 3399), mean age was 65.3 years (standard deviation [SD] = 11.0), 664 patients were female (19.5 %) and 2344 patients (69.0 %) had ischemic cardiomyopathy. Ten year survival was 45.7 % (95 % confidence interval [CI] 44.0 %-47.4 %). The final prediction model included age, sex, disease factors (ischemic vs nonischemic cardiomyopathy, left ventricular ejection fraction) and patient factors (symptoms, comorbidities), and biomarkers at the time of ICD assessment. This model had good discrimination and calibration in derivation (0.79, 95 % CI 0.77, 0.81) and validation samples (0.78, 95 % CI 0.76, 0.79).
Conclusions:
A combination of demographic and clinical factors determined at baseline can be used to predict 10-year survival in patients with implantable cardioverter-defibrillators with good accuracy. Our findings help to identify individuals at risk of long-term mortality and may be useful in targeting future prevention strategies to enhance longevity in this high-risk population.
