Holmes, David R.

Background: Hospitals’ risk-standardized mortality rates and outlier status (significantly higher/lower rates) are reported by the Centers for Medicare and Medicaid Services (CMS) for acute myocardial infarction (AMI) patients using Medicare claims data. New York now has AMI claims data with blood pressure and heart rate added. Objective: The objective of this study was to see whether the appended database yields different hospital assessments than standard claims data. Methods: New York State clinically appended claims data for AMI were used to create 2 different risk models based on CMS methods: 1 with and 1 without the added clinical data. Model discrimination was compared, and differences between the models in hospital outlier status and tertile status were examined. Results: Mean arterial pressure and heart rate were both significant predictors of mortality in the clinically appended model. The C statistic for the model with the clinical variables added was significantly higher (0.803 vs. 0.773, P<0.001). The model without clinical variables identified 10 low outliers and all of them were percutaneous coronary intervention hospitals. When clinical variables were included in the model, only 6 of those 10 hospitals were low outliers, but there were 2 new low outliers. The model without clinical variables had only 3 high outliers, and the model with clinical variables included identified 2 new high outliers. Conclusion: Appending even a small number of clinical data elements to administrative data resulted in a difference in the assessment of hospital mortality outliers for AMI. The strategy of adding limited but important clinical data elements to administrative datasets should be considered when evaluating hospital quality for procedures and other medical conditions.

ObjectivesTo identify number of cases needed to maximize device success and minimize adverse events after transfemoral transcatheter aortic valve replacement (TF‐TAVR), and determine if adverse events were linked to the technical performance learning curve.BackgroundTF‐TAVR is a complex procedure with an incompletely characterized learning curve for clinical outcomes.MethodsFrom 4/2007–2/2012, 1521 patients underwent TF‐TAVR in the PARTNER‐I trial. Outcomes learning curves were defined as number of cases needed to reach a plateau for device success, adverse events, and post‐procedure length of stay. Institutional variation was accounted for by mixed‐model non‐linear techniques, which were also used to identify contribution of the procedure time learning curve to 30‐day major adverse events and length of stay.ResultsEighty percent device success was achieved after 22 cases; major vascular complications fell below 5% after 70 cases and major bleeding below 10% after 25 cases. It took an average of 28 cases to achieve a consistent low risk of 30‐day major adverse events, but institutions entering in the middle of the trial achieved it after about 26. The most significant correlate of 30‐day major adverse events and post‐procedure length of stay was procedure time (P < 0.0001). However, this association was related to patient and unmeasured variables, not the procedure time learning curve (P = 0.6).ConclusionsBy end of trial, a consistent low risk of adverse events was achieved after ∼26 cases. However, these improved results were due to change in patient risk profile; outcomes were not linked to the technical performance learning curve. © 2015 Wiley Periodicals, Inc.

Background— Current risk models for predicting long-term mortality after percutaneous coronary intervention are restricted to all-cause mortality. We sought to develop novel risk models for the prediction of cardiac and noncardiac mortality after percutaneous coronary intervention. Methods and Results— We retrospectively evaluated patients who underwent index percutaneous coronary intervention at Mayo Clinic from 2003 to 2008. Long-term deaths were ascertained through scheduled prospective surveillance. Cause of death was determined via telephone interviews, medical records, and autopsy reports. Fine and Gray extension of Cox proportional hazards models was used to model cause-specific cumulative incidence. Candidate variables and interactions were chosen a priori, without variable selection methods. Resulting models were mapped to an integer-based risk score. The study comprised 6636 patients followed up over a median of 62 months (25th, 75th percentiles: 45, 77 months). There were 1488 deaths, 518 (35%) cardiac, 938 (63%) noncardiac, and 32 (2%) unknown. The 5-year predicted cardiac mortality ranged from 0.6% to 97%, with a corrected c -statistic of 0.82. Risk factors for cardiac death included age, body mass index, ejection fraction, and history of congestive heart failure. The integer score for noncardiac death included age, medicine index, body mass index, current smoker, noncardiac Charlson index and cardiac Charlson index, and accommodated significant age-based interactions for smoking and the 2 Charlson indices. Predicted noncardiac mortality at 5 years ranged from 0.2% to 81%, with a corrected c -statistic of 0.77. Conclusions— We report novel risk models to predict cardiac and noncardiac long-term mortality after percutaneous coronary intervention.

ABSTRACTLeft atrial appendage (LAA) occlusion for stroke and thromboembolism prevention in patients with atrial fibrillation (AF) represents a significant advancement in the field of cardiovascular disease. Prevention and avoidance of the devastating consequences of thromboembolic complications from AF continues to be central in the management of these patients. The role of LAA as a nidus for thrombus formation is well documented. Multiple approaches to exclude the LAA from the circulation either percutaneously or surgically have been described and are undergoing testing. Although pharmacological therapy for stroke prevention remains the cornerstone of treatment, device and surgical exclusion of the LAA have proven to be viable alternatives in carefully selected patients. Even though current evidence show that LAA occlusion is safe and effective, approval and adoption of this strategy has been quite difficult due to paucity of randomised clinical trial data on the risk and benefit ratio, cost effectiveness and the issues of procedural risk as well as longer-term outcome. This review aims to provide an update on the current status of LAA occlusion, specifically looking at interpretation of current clinical data, available techniques and devices, issues with current devices and future direction.

ObjectivesTo assess technical performance learning curves of teams performing transfemoral transcatheter aortic valve replacement (TF‐TAVR).BackgroundTF‐TAVR is a new procedure for treating severe aortic stenosis. The number of cases required for procedural efficiency is unknown.MethodsIn the PARTNER‐I trial, 1,521 patients underwent TF‐TAVR from 4/2007–2/2012. Learning curve analysis of technical performance metrics was performed using institution‐specific patient sequence number, interval between procedures, and institutional trial entry date. Learning curve characteristics were assessed using semi‐parametric and parametric mixed‐effects models.ResultsAs patient sequence number increased, average procedure time decreased from 154 to 85 minutes (P < 0.0001), and fluoroscopy time from 28 to 20 minutes (P < 0.0001). Procedure time plateaued at an average of 83 minutes (range 52–140). Procedure time plateau was dynamic during the course of the trial, averaging 25 cases (range 21–52) by its end. The later institutions enrolled in the trial, the shorter the initial procedure time. During the trial, percutaneous rather than surgical access increased from 7.9% to 69%.ConclusionsTechnical performance learning curves exist for TF‐TAVR; procedural efficiency increased with experience, with concomitant decreases in radiation and contrast media exposure. The number of cases needed to achieve efficiency decreased progressively, with optimal procedural performance reached after approximately 25 cases for late‐entering institutions. Knowledge and experience accumulated by early TF‐TAVR institutions were disseminated, shortening the learning curve of late‐entering institutions. Technological advances resulting from learning during the trial moved the field from initial conservative surgical cut‐down to percutaneous access for most patients. © 2015 Wiley Periodicals, Inc.

Direct Pulmonary Vein Ablation With Stenosis Prevention TherapyIntroductionThe dominant location of electrical triggers for initiating atrial fibrillation (AF) originates from the muscle sleeves inside pulmonary veins (PVs). Currently, radiofrequency ablation (RFA) is performed outside of the PVs to isolate, rather than directly ablate these tissues, due to the risk of intraluminal PV stenosis.MethodsIn 4 chronic canine experiments, we performed direct PV muscle sleeve RFA ± postablation drug‐coated balloon (DCB) treatment with paclitaxel/everolimus. Of the 4 PVs, 2 PVs were ablated and treated with DCB, 1 PV was ablated without DCB treatment (positive control), and 1 PV was left as a negative control. Local electrograms were assessed in PVs for near‐field signals and were targeted for ablation. After 12–14 weeks survival, PVs were interrogated for absence of near‐field PV potentials, and each PV was assessed for stenosis.ResultsAll canines survived the study period without cardiorespiratory complications, and remained ambulatory. In all canines, PVs that were ablated and treated with DCB remained without any significant intraluminal stenosis. In contrast, PVs that were ablated and not treated with DCB showed near or complete intraluminal stenosis. At terminal study, PV potentials remained undetectable. A blinded, histologic analysis demonstrated that ablated PVs without DCB treatment had extensive thrombus, fibrin, mineralization, and elastin disruption.ConclusionOur chronic canine data suggest that direct PV tissue ablation without subsequent stenosis is feasible with the use of postablation DCBs.