Effect of Cardiac and Noncardiac Conditions on Survival After Defibrillator Implantation
Douglas S. Lee, MD, PhD*, ,#,*,
Jack V. Tu, MD, PhD*, ,#,
Peter C. Austin, PhD*,#,
Paul Dorian, MD, MSc ,#,
Raymond Yee, MD||,
Alice Chong, BSc*,
David A. Alter, MD, PhD*,,# and
Andreas Laupacis, MD, MSc*,,#
* Institute for Clinical Evaluative Sciences
University Health Network
Sunnybrook and Women's Health Sciences Centre
Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Canada
|| London Health Sciences Centre, London, Canada
# University of Toronto, Toronto, Canada
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Figure 1 Effect of Age on Death
Cubic spline analysis demonstrating nonlinear effect of age on death using Cox regression adjusted for gender and significant model comorbidities. Hazard ratios by age (solid red line) are relative to those with median age; 95% confidence intervals (CI) are also shown (dotted blue lines).
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Figure 2 Survival After ICD Insertion by HF and Comorbidity Status
Kaplan-Meier survival plots for implantable cardioverter-defibrillator (ICD) recipients with or without heart failure (HF) and/or model comorbidities (Comorb). The presence of prior heart failure or model comorbidity (e.g., peripheral vascular disease, chronic pulmonary disease, renal disease, rheumatologic disease, microvascular complications of diabetes, or cancer) significantly worsened survival compared with patients who were free of these conditions (log rank p < 0.001).
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Figure 3 Adjusted Survival Plots
Comparison of implantable cardioverter-defibrillator (ICD) recipients and matched control subjects (CTRL) with prior ventricular tachycardia up to 2 years after device implantation.
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