Muhammad, R

Device infection is associated with increased mortality in cardiovascular implantable electronic device (CIED) recipients. However, published data regarding clinical predictors of mortality in patients with CIED infection are limited. In current investigation, we sought to identify patient and device-related factors associated with mortality in CIED infection cases. We performed a retrospective review of all cases of CIED infection admitted to Mayo Clinic Rochester from 1991 to 2008. Survival data were obtained from hospital medical records and United Sates Social Security Index. Key data regarding patient demographics, device features, comorbid conditions, clinical presentation, echocardiographic findings and management strategies were abstracted. Potential risk factors for short (30-day) and long-term mortality were analyzed using univariate and multivariable logistic and Cox proportional hazards regression models, respectively. 415 cases of CIED infection were identified from the institutional database. The mean duration of follow-up for the 243 patients who were alive at last follow-up was 6.9 years. In multivariable model, congestive heart failure (CHF, Odds ratio 9.31, 95% CI 2.08-41.67), chronic corticosteroid use (OR 4.04, 1.40-11.60) and presentation with CIED-related infective endocarditis (CIED-IE), (OR 5.6, 2.25-13.92) were associated with increased odds of short-term mortality. Independent predictors of long-term mortality on multivariable model included patients' age (hazard ratio for 10-year increase 1.2, 95% CI 1.06-1.36), CHF (HR 2.01, 1.42-2.86), metastatic malignancy (HR 5.99, 1.67-21.53), corticosteroid use (HR 1.97, 1.22-3.18), renal failure (HR 1.94, 1.37-2.74) and CIED-IE (HR 1.68, 1.17-2.41). Our investigation provides some novel insights into predictors of short- and long-term mortality in CIED infection cases. While comorbid conditions and immunocompromised host status were primary determinants of both short- and long-term mortality, complicated device infection (CIED-IE) is the only predictor that presents an opportunity for intervention where mortality may be reduced by early diagnosis and expedited device removal.