Brijesh Patel1, Naveen Sablani1, Jalaj Garg2, Rahul Chaudhary3, Mahek Shah1, Rahul Gupta4, Talha Nazir1, Babak Bozorgnia1, Santosh K Padala5, Sampath Gunda5, Kenneth A Ellenbogen5. 1. Division of Cardiology, Lehigh Valley Health Network, Allentown, Pennsylvania. 2. Division of Cardiology, Lehigh Valley Health Network, Allentown, Pennsylvania. Electronic address: garg.jalaj@yahoo.com. 3. Department of Medicine, Sinai Hospital of Baltimore, Baltimore, Maryland. 4. Queens Cardiac Care, Queens, New York. 5. Department of Cardiology, Virginia Commonwealth University School of Medicine, Richmond, Virginia.
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 (OR 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.
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 (OR 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.
Authors: Marianne H Gillam; Nicole L Pratt; Maria C S Inacio; Sepehr Shakib; Prashanthan Sanders; Dennis H Lau; Elizabeth E Roughead Journal: Clin Cardiol Date: 2018-10-19 Impact factor: 2.882
Authors: Sushil Kumar Garg; Hemant Goyal; Itegbemie Obaitan; Pir Ahmad Shah; Shashank Sarvepalli; Loretta Lynn Jophlin; Dupinder Singh; Sumeet Asrani; Patrick S Kamath; Michael D Leise Journal: Ann Transl Med Date: 2021-07