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The Impact of Preoperative Renal Dysfunction on the Outcomes of Patients Undergoing Transcatheter Aortic Valve Replacement Andres M. Pineda MD, J. Kevin Harrison MD, Neil S. Kleiman MD, Michael J. Reardon, MD, John V. Conte, MD, Daniel P. O’Hair, MD, Stanley Chetcuti, MD, Steven J. Yakubov, MD, Jeffrey J. Popma, MD, Nirat Beohar MD; For the CoreValve US Clinical Investigators
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Background The impact of renal dysfunction severity using baseline glomerular filtration rate (GFR) on outcomes after TAVR remains unknown. Similarly, the impact of preoperative renal dysfunction on the clinical outcomes after TAVR vs. SAVR is unclear.
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Methods To analyze outcomes of TAVR patients, all patients undergoing TAVR in the CoreValve US Pivotal Extreme Risk Trial, High Risk Trial, and Continued Access Studies were pooled, and stratified by baseline GFR as none/mild (GFR > 60mL/min/1.73m2), moderate (GFR 30-60), or severe (GFR < 30) preoperative renal dysfunction. The CrCl/GFR for all patients was calculated by the MDRD equation and the baseline SCr. To compare TAVR vs. SAVR, patients enrolled in the CoreValve US Pivotal High Risk Trial were stratified by pre-operative renal dysfunction as described above. The primary endpoint was the incidence of major adverse cardiovascular and renal events (MACRE); defined as all-cause mortality, myocardial infarction, stroke/TIA, and need for new renal replacement therapy.
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Statistical Methods Categorical variables were compared using the Fisher exact test or the chi-square test. Continuous variables are presented as mean ± standard deviation, compared using a t test. Kaplan-Meier estimates were used to construct survival and MACRE curves based on all available follow-up data for the time-to-event analysis. Differences in event rates were evaluated using the log-rank test. All testing used a 2-sided α level of 0.05. For the predictors of mortality analysis, all TAVR patients with GFR ≤60mL/min/1.73m2 were included; variables were selected based on clinical relevance. Cox proportional hazards survival models were used for 30-day and 1-year mortality. Multivariable predictors were identified from univariable predictors with p value ≤0.05. A stepwise procedure was performed to determine the final model. The significance level thresholds for entry and exit of independent variables were set at 0.10.
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Baseline Clinical Characteristics – All TAVR Patients
Assessment None/mild RD (GFR>60 mL/min/1.73m2) N=1488 Moderate RD (GFR mL/min/1.73m2) N=2007 Severe RD (GFR <30 mL/min/1.73m2) N=238 P value Age (years) 82.1 ± 8.5 84.0 ± 7.1 83.3 ± 7.2 < 0.001 Male 57.9 51.4 52.5 <0.001 STS score (%) 7.3 ± 4.0 9.6 ± 4.7 12.8 ± 5.6 Diabetes mellitus 32.1 39.9 47.5 Creatinine >2 mg/dl 0.0 1.3 58.8 History of hypertension 90.3 94.2 97.1 Peripheral vascular disease 43.5 46.3 51.5 0.04 Coronary artery disease 76.5 80.2 85.7 0.001 Coronary artery bypass surgery 33.2 36.0 40.8 Balloon valvuloplasty 10.8 13.8 15.1 0.02 Angina 21.3 23.7 23.9 0.23 Hostile mediastinum 10.2 7.2 3.4 Values are presented as mean ± standard deviation or %.
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1-Year MACRE – All TAVR Patients
1-Year MACRE and Components None/mild RD (GFR>60 mL/min/1.73m2) N=1488 Moderate RD (GFR mL/min/1.73m2) N=2007 Severe RD (GFR <30 mL/min/1.73m2) N=238 P value MACRE 25.6% (379) 29.9% (596) 36.0% (85) 0.001 All-cause mortality 18.9% (279) 22.3% (444) 25.4% (60) 0.02 MI 2.5% (34) 1.8% (32) 3.6% (8) 0.10 New requirement for dialysis 1.3% (19) 3.6% (68) 9.8% (22) < 0.001 All stroke (major or minor) or TIA 9.3% (131) 10.4% (194) 10.6% (23) 0.62 Values are presented as KM event rate (number of subjects with event)
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MACRE – All TAVR Patients
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MACRE – TAVR vs. SAVR (High Risk)
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All-Cause Mortality – All TAVR Patients
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Multivariable Predictors of 1-Year Mortality in all TAVR Patients with Moderate/Severe Renal Disease
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Conclusions Worse baseline renal function increases mortality and the MACRE composite endpoint in TAVR patients. TAVR has lower rates of major adverse events compared with SAVR in those with none to moderate preoperative renal dysfunction. In patients undergoing TAVR with GFR ≤ 60, several independent predictors of 1 year mortality were identified, including male sex, NYHA III-IV, peripheral vascular disease, prior stroke or TIA, STS >7% and non-iliofemoral access, amongst others.
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Disclosures The study was funded by Medtronic (Minneapolis, MN).
Medtronic personnel performed all statistical analysis, verified the accuracy of the data presented, and assisted in the graphical display of the data. Dr. Pineda and Dr. Beohar have no disclosures. Dr. Harrison has received institutional grants from Medtronic, Boston Scientific, Direct Flow Medical, St. Jude Medical, and Edwards Lifesciences; and serves on a Medical Advisory Board for Direct Flow Medical and on the Data Safety Monitoring Board for CardiAQ. Dr. Kleiman and Dr. Reardon have received fees from Medtronic for providing educational services. Dr. Conte serves on a surgical advisory board for Medtronic and Sorin. Dr. O’Hair reports receiving grant support from Medtronic and Edwards Lifesciences. Dr. Chetcuti has received grant support from Edwards Lifesciences, Boston Scientific, and Medtronic, and has received proctoring fees from Medtronic. Dr. Yakubov, has received grant support and served on advisory boards for Medtronic and Boston Scientific, and has received grant support from Direct Flow Medical. Dr. Popma has received grants from Medtronic, Boston Scientific, and Direct Flow Medical.
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