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Predictors of mortality in patients with cardiovascular implantable electronic device infections
Ammar Habib1, Katherine Y Le, Larry M Baddour
1Mayo School of Graduate Medical Education, Mayo Clinic, Rochester, MN, USA.
Insights
Infection of cardiovascular implantable electronic devices (CIEDs) increases mortality risk. Heart failure, corticosteroid use, and infective endocarditis predict short-term death, while age, renal failure, and malignancy worsen long-term survival.
Area of Science:
- Cardiology
- Infectious Diseases
- Medical Devices
Background:
- Infection is a serious complication for recipients of cardiovascular implantable electronic devices (CIEDs).
- Understanding clinical predictors of mortality in CIED infection is crucial for patient management.
Purpose of the Study:
- To identify clinical predictors of short-term (30-day) and long-term (>30-day) mortality in patients with CIED infection.
Main Methods:
- Retrospective review of 415 patients with CIED infection admitted to Mayo Clinic (1991-2008).
- Survival data analyzed using univariate and multivariate models.
- Follow-up duration averaged 6.9 years for surviving patients.
Main Results:
- Short-term mortality predictors: heart failure, corticosteroid therapy, and CIED-related infective endocarditis.
- Long-term mortality predictors: patient age, heart failure, metastatic malignancy, corticosteroid therapy, renal failure, and CIED-related infective endocarditis.
Conclusions:
- CIED-related infective endocarditis and co-morbid conditions significantly increase mortality risk in CIED infection patients.
- Identifying these risk factors can aid in risk stratification and management strategies.
Abstract:
Infection reduces survival in cardiovascular implantable electronic device (CIED) recipients. However, the clinical predictors of short- and long-term mortality in patients with CIED infection are not well understood. We retrospectively reviewed all patients with CIED infection who were admitted to Mayo Clinic from January 1991 to December 2008. Survival data were obtained from the medical records and the United Sates Social Security Index. The purported risk factors for short-term (30-day) and long-term (>30-day) mortality were analyzed using univariate and multivariate models. Overall, 415 cases of CIED infection were identified during the study period. The mean follow-up duration for the 243 patients who were alive at the last follow-up visit was 6.9 years. In a multivariate model, heart failure (odds ratio 9.31, 95% confidence interval 2.08 to 41.67), corticosteroid therapy (odds ratio 4.04, 95% confidence interval 1.40 to 11.60), and presentation with CIED-related infective endocarditis (odds ratio 5.60, 95% confidence interval 2.25 to 13.92) were associated with increased short-term mortality. The factors associated with long-term mortality in the multivariate model included patient age (hazard ratio 1.20, 95% confidence interval 1.06 to 1.36), heart failure (hazard ratio 2.01, 95% confidence interval 1.42 to 2.86), metastatic malignancy (hazard ratio 5.99, 95% confidence interval 1.67 to 21.53), corticosteroid therapy (hazard ratio 1.97, 95% confidence interval 1.22 to 3.18), renal failure (hazard ratio 1.94, 95% confidence interval 1.37 to 2.74), and CIED-related infective endocarditis (hazard ratio 1.68, 95% confidence interval 1.17 to 2.41). In conclusion, these data suggest that the development of CIED-related infective endocarditis and the presence of co-morbid conditions are associated with increased short- and long-term mortality in patients with CIED infection.
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