Author + information
- Santosh Padala,
- Sampath Gunda,
- Parikshit Sharma,
- Le Kang,
- Jayanthi Koneru and
- Kenneth A. Ellenbogen
Background: Individual predictors of complications associated with atrial fibrillation (AF) ablation have been documented. The prognostic impact of their coexistence has not been explored.
Methods: The National Inpatient Sample database was utilized to identify 106,105 patients who underwent AF ablation; split into derivation cohort (DC, 2007-2010, n= 56,658) used for development of risk score model and validation cohort (VC, 2011-2013, n= 49,447). Multivariate predictors of any complication including in-hospital mortality were identified and a risk score model was developed. Based on the risk score, the cohorts were divided into 5 groups (score in parentheses): groups 0 (0), 1 (1-10), 2 (11-20), 3 (21-30) and 4 (31-61).
Results: Patients in the VC were older, likely to be white, female with higher co-morbidities. The overall complication rate (6.9% vs. 8.3%, p<0.0001) and in-hospital mortality rate (0.3% vs. 0.5%, p<0.0001) was lower in VC compared with DC. Multivariate regression analysis using DC yielded 9 predictors (points in parentheses) for any complication; cerebrovascular accident (19), congestive heart failure (12), coagulopathy (11), renal failure (7), peripheral vascular disease (6), age ≥50 yrs (2), female (2), chronic obstructive lung disease (1) and non-white (1). The risk of any complications in the whole sample, DC and VC is depicted in Fig.
Conclusions: A practical risk score model can be used preoperatively to stratify high- and low-risk subsets of patients undergoing AF ablation.
Poster Hall, Hall C
Friday, March 17, 2017, 3:45 p.m.-4:30 p.m.
Session Title: Atrial Fibrillation and VT: Unique Populations and Solutions
Abstract Category: 8. Arrhythmias and Clinical EP: Supraventricular/Ventricular Arrhythmias
Presentation Number: 1151-097
- 2017 American College of Cardiology Foundation