National Landscape of Unplanned 30-Day Readmissions in Patients With Left Ventricular Assist Device Implantation
- PMID: 29731116
- PMCID: PMC7818514
- DOI: 10.1016/j.amjcard.2018.03.363
National Landscape of Unplanned 30-Day Readmissions in Patients With Left Ventricular Assist Device Implantation
Abstract
The number of patients with advanced heart failure receiving left ventricular assist device (LVAD) implantation has increased dramatically over the last decade. There are limited data available about the nationwide trends of complications leading to readmissions after implantation of contemporary devices. Patients who underwent LVAD implantation from January 2013 to December 2013 were identified using International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) code 37.66 from the Healthcare Cost and Utilization Project's National Readmission Database. The top causes of unplanned 30-day readmission after LVAD implantation were determined. Survey logistic regression was used to analyze the significant predictors of readmission. In 2013, there were 2,235 patients with an LVAD implantation. Of them, 665 (29.7%) had at least 1 unplanned readmission within 30 days, out of which 289 (43.4%) occurred within 10 days after discharge. Implant complications (14.9%), congestive heart failure (11.7%), and gastrointestinal bleeding (8.4%) were the top 3 diagnoses for the first readmission and accounted for more than a third of all readmissions. Significant predictors of readmissions included a prolonged length of stay during the index admission, Medicare insurance, and discharge to short-term facility. In conclusion, despite increased experience with LVADs, unplanned readmissions within 30 days of implantation remain significantly high.
Copyright © 2018 Elsevier Inc. All rights reserved.
Conflict of interest statement
Conflicts of Interest Disclosure:
All authors have approved the final article. Dr. Desai is supported by grant K12 HS023000–01 from the Agency for Healthcare Research and Quality. Dr. Desai receives research funding from the Centers for Medicare & Medicaid Services to develop and maintain performance measures that are used for public reporting and support from Johnson & Johnson and Medtronic, through Yale University, to develop methods of clinical trial data sharing.
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