BACKGROUND Limited data are available regarding true estimates of individual complications contributing to readmissions after cardiac implantable electronic device (CIED) implantation. OBJECTIVE The purpose of this study was to identify… Click to show full abstract
BACKGROUND Limited data are available regarding true estimates of individual complications contributing to readmissions after cardiac implantable electronic device (CIED) implantation. OBJECTIVE The purpose of this study was to identify predictors of 30-day readmission in patients admitted for CIED implantation. METHODS The study cohort consisted of patients who underwent CIED implantation in 2014, identified from the National Readmission Database. Readmission was defined as a subsequent hospital admission within 30 days after the discharge day of index admission. If patients had more than 1 readmission within 30 days, only the first readmission was included. RESULTS Our final cohort consisted of 70,223 cases, 61,738 (88%) in the no-readmission group and 8485 patients (12%) in the readmission group. Female gender (odds ratio [OR] 1.09; 95% confidence interval [CI] 1.04-1.14; P = .001), atrial fibrillation/flutter (OR 1.23; 95% CI 1.17-1.29, P <.001), acute renal failure (ORĀ 1.65; 95% CI 1.56-1.74; P <.001), coronary artery disease (OR 1.09; 95% CI 1.03-1.14; P = .002), length of stay (OR 1.70; 95% CI 1.51-1.89; P <.001), device placement on the day of admission (OR 0.87; 95% CI 0.80-0.95, P = .001), and fourth quartile of hospital procedure volume (OR 0.91; 95% CI 0.84-0.99; P = .03; first quartile of hospital procedure volume as reference) were independent predictors of 30-day readmissions. The 30-day readmission resulted in additional median charges of $30,692 per patient. Device-related complications were seen in 10.7% of readmitted patients. The most common complications were mechanical (2.8%) and infectious (2.6%). CONCLUSION Several patient and hospital-related factors were identified to be independent predictors of 30-day readmission, accounting for increased health care cost.
               
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