Patel, Neil

Introduction: Catheter ablation is widely accepted intervention for atrial fibrillation (AF), but data is limited on contemporary trends in major complications and mortality due to the procedure. Methods: HCUP’s Nationwide inpatient sample (NIS) database was utilized from 2011-14 to identify the AF patients treated with Catheter Ablation using ICD-9- CM codes. χ 2 test was utilized to compare categorical variables, the student’s t-test for continuous variables and hierarchical mixed-effects logistic regression models for multivariate predictors of post-procedural complications. Results: In total 50,969 patients were identified undergoing AF ablation during the study period (37.6% female, 51.4 age ≥ 65). Overall complication rate was 5.5% with relative increase over study period (+56.4%, p < 0.001). In subgroup analysis of complication trends significant relative increase seen in respiratory (+352.7%, p < 0.001), neurological (+43.9%, p = 0.003) and vascular (+38.7%, p = 0.003) complications. While cardiac complications (+9.1%, p = 0.323) and In-hospital mortality (+ 60%, p = 0.173) showed insignificant change. On multivariate analysis of mortality and complication significant increased risk was associated with female gender (OR, 95% CI, p-value) (1.40, 1.17-1.68, p < 0.001), as well as higher comorbidity burden (CCI ≥ 1). While higher hospital volume (≥ 50 procedures) was associated with significantly decreased complication rates. Conclusions: Patients undergoing AF ablation showed an insignificant change in mortality, with increase trends of complication. Which was likely related to higher comorbidity burden over study period.

Introduction: Heart failure with preserved ejection fraction(HFpEF) is a syndromemwith limited treatment modalities. Our control over 30 day readmissions and readmission outcomes is limited. Methods: HCUP’s Nationwide Readmissions Database (NRD) from 2013-14 was used for HFpEF related hospitalizations using ICD-9- CM diagnostic code:428.3x in primary diagnosis field. 30-day readmissions were identified and classified into two groups: same-hospital readmissions and different-hospital readmissions. A comparative analysis was conducted focused on three metrics - mortality, length of stay (LOS) and cost of hospitalization. We used hierarchical two-level modeling and propensity score matching to adjust for confounders. Results: Of the 94,988 readmitted patients (age &gt;65 years: 79%, Females: 61.45%) - 76,665 (80.70%) to the same hospital and rest to different hospitals. After adjusting extensive list of confounders, same hospital readmission was associated with better outcomes including in hospital mortality (OR: 0.73, 95% CI: 0.66 - 0.80, p&lt;0.001), LOS (Days: -1.14, 95% CI: -1.31 - -0.97, p&lt;0.001), Cost of care ($: -4208, 95% CI: - 4681 - -3734, p&lt;0.001). For validation of our results, we ran propensity score matching, showed similar results - in hospital mortality (6.23% vs 8.07%), LOS (6.30 ± 0.08 vs 7.47 ± 0.095), Cost of care (14042.7 ± 215.7 vs 18685.4 ± 279.2). Post hoc high-risk subgroup analysis were conducted and showed similar results (Figure). Number needed to treat (for mortality) was 74 patients. Up to ~ 100 million dollars could have been saved over 2 years. Conclusions: Considering scale of problem and limited option to prevent worse outcomes, Simple interventions such as redirecting patient to same hospital as previous admission would be beneficial.