Pant, Sadip

Introduction: The treatment options for high and extreme-risk patients with severe symptomatic aortic stenosis have changed significantly over the past decade because of advances in transcatheter aortic valve replacement (TAVR). However new permanent pacemaker implant (PPI) remains an impending concern after TAVR. Hypothesis: We sought to determine the frequency, predictors and outcomes of patients requiring PPI after TAVR. Methods: We queried the National Inpatient Sample (NIS) database using the ICD-9-CM procedure code of 35.05 for transfemoral/transaortic and 35.06 for transapical replacement of aortic valve .We identified TAVR procedures associated with new permanent pacemaker implants using appropriate validated ICD-9-CM codes. Using multivariate analysis we further identified predictors of PPM implants Results: An estimated 8828 TAVR procedures were performed in United States between 2011-2012. 773 (8.7%) TAVR procedures were associated with PPIs. PPI were higher in older (age>80 years), White race, diabetics, left bundle branch block (LBBB), right bundle branch block (RBBB), transfemoral approach. The inhospital mortality ( 5.2% vs.4.6% ) , mean length of stay ( 9.8 vs. 8.3 days ) disposition to short term nursing facility was higher (38.2% vs. 32.1%) and mean total costs (82217$ vs. 52283$) was higher in TAVR + PPI group . On multivariate analysis, Age in 5 year increment [Odds ratio (OR) 1.11; Confidence interval (CI) 1.05-1.17, p<0.001], diabetes [OR 1.26; CI 1.07-1.49, p<0.001], LBBB [OR 1.99; CI 1.55-2.56, p<0.001], RBBB [OR 5.36; CI 3.80-7.55, p<0.001] were independent predictors of PPI. Transfemoral approach was associated with more PPI implants [OR 1.41; CI 1.12 -1.78, p<0.001] Conclusion: Age, baseline conduction system disturbances, diabetes, transfemoral approach emerged as independent predictors of PPI after TAVR. This study provides useful tools to identify high-risk patients for PPI after TAVR.

Introduction: Heart Disease and Stroke Statistics_2014 Update suggests more than 424,000 people suffer out of hospital cardiac arrest (OHCA) in the United States. Hypothesis: We assessed seasonal variation in OHCA from a large national hospitalisation database in the past decade. Methods: The Nationwide Inpatient Sample database was used to estimate the annual number of hospitalisations with from 2000-2011. Identification of out of hospital cardiac arrest related hospitalisations was based on the designation of the International Classification of Diseases (9th Edition) Clinical Modification (ICD-9-CM) diagnosis code 427.5 (OHCA) as the principal discharge diagnosis. The frequency of hospitalisation for each month cumulative over 11 years was calculated and divided by number of days in that month to obtain the mean hospitalisations per day for each month. All calculations were carried out using the weighted estimates approximating nationwide population estimates. Results: An estimated 93,209 hospitalisations with primary diagnosis of OHCA occurred in the United States from the beginning of the calendar year 2000 to the end of the calendar year 2011. The number of hospitalisations per day in each month is shown in Figure 1.The number of hospitalisation was maximum in the winter months and minimum in summer months. Specifically, the mean number of hospitalisation each day (averaged over 11 years) was least in August (242). There was a rising trend from August to January. The average number of hospitalisation was highest in January (310); thereafter, the hospitalisation rate dropped to a nadir in August. There was however no seasonal pattern in inhospital mortality. Conclusions: We identified for the first time in United States an impressive pattern of seasonal variation in hospitalisations for OHCA. Further efforts must be made to identify triggers and methods to prevent OHCA and reduce its burden on health care system.

Introduction: With the technical advancements and expanding indications, utilization of TAVR is on the rise among various institutions in the United States .While appropriate patient selection and better techniques are essential to improving outcomes, the impact of institutional design (or hospital setting) on outcomes with TAVR has yet to be examined. Objective: The objective of our study is to compare TAVR complication rates among teaching vs non-teaching centers in the United States Methods: We used Healthcare Cost and Utilization Project - National Inpatient Sample (NIS) data , the largest all payer database of hospital inpatient stay available in United States, to identify patients (age ≥18 years) who underwent TAVR from Jan-Dec 2012. We constructed multivariable models to determine independent predictors (age, sex, race, Charlson’s comorbidity index, hospital size, hospital location and TAVR approach) of TAVR-associated complications. Statistical analysis was performed using Stata IC 11.0 (Stata-Corp, College Station, TX). Results: We identified 7,405 TAVR procedures performed in the United States in 2012. 88% of TAVR were performed in teaching centers. There was no difference in mortality following TAVR between teaching and non-teaching centers. The occurrence of any in-hospital complication was lower in teaching centers as compared to non-teaching centers (42% vs. 50%, p<0.001). Rates of individual complications in teaching vs. non-teaching centers are illustrated in the figure. In adjusted analysis, hemorrhage requiring transfusion (13.2% vs. 20.8%, p<0.001), renal complications requiring dialysis (1.2% vs. 2.3%, p=0.009), respiratory complications (7.5% vs. 11%, p<0.001) and complications requiring open-heart surgery (2% vs. 4.6%, p<0.001) were lower in teaching centers as compared to non-teaching centers. Vascular access site complications, pacemaker insertion, pericardial and neurological complications were similar between teaching and non-teaching centers (Figure). Conclusion: Institutional design impacts TAVR complication rates albeit no difference in mortality. In general, complication rates are lower in teaching centers compared to non-teaching centers.