O'Brien Sean M, Cohen David J, Rumsfeld John S, Brennan J Matthew, Shahian David M, Dai David, Holmes David R, Hakim Rosemarie B, Thourani Vinod H, Peterson Eric D, Edwards Fred H
From the Duke University Medical Center, Durham, NC (S.M.O., J.M.B., D.D., E.D.P.); Saint Luke's Mid America Heart Institute, Kansas City, MO (D.J.C.); Denver VA Medical Center, CO (J.S.R.); Massachusetts General Hospital, Boston (D.M.S.); Mayo Clinic, Rochester, MN (D.R.H.); Centers for Medicare & Medicaid Services, Baltimore, MD (R.B.H.); Emory University School of Medicine, Atlanta, GA (V.H.T.); and University of Florida, Jacksonville (F.H.E.).
Circ Cardiovasc Qual Outcomes. 2016 Sep;9(5):560-5. doi: 10.1161/CIRCOUTCOMES.116.002756. Epub 2016 Sep 13.
The use of transcatheter aortic valve replacement (TAVR) to treat aortic stenosis in the United States is growing, yet little is known about the variation in procedural outcomes in community practice. We developed a TAVR in-hospital mortality risk model and used it to quantify variation in mortality rates across United States (US) TAVR centers.
We analyzed data from 22 248 TAVR procedures performed at 318 sites participating in the Society of Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapy Registry (November 2011 to October 2014). A Bayesian hierarchical model was developed to estimate hospital-specific risk-adjusted mortality rates adjusting for 40 patient baseline factors. A total of 1130 in-hospital deaths (5.1%) were observed. Reliability-adjusted risk-adjusted mortality rate estimates ranged from 3.4% to 7.7% with an interquartile range of 4.8% to 5.4%. A patient's predicted odds of dying was 80% higher if treated by a hospital 1 standard deviation above the mean compared with a hospital 1 standard deviation below the mean (odds ratio =1.8; 95% credible interval, 1.4%-2.2%).
Risk modeling of TAVR in-hospital mortality revealed variation in risk-adjusted mortality rates during the US early commercial experience. Transcatheter Valve Therapy Registry analyses using this model will support research, feedback reporting, and the identification of factors associated with quality.
经导管主动脉瓣置换术(TAVR)在美国用于治疗主动脉瓣狭窄的应用正在增加,但对于社区实践中手术结果的差异知之甚少。我们开发了一个TAVR住院死亡率风险模型,并使用它来量化美国各TAVR中心死亡率的差异。
我们分析了参与胸外科医师协会/美国心脏病学会经导管瓣膜治疗注册研究(2011年11月至2014年10月)的318个地点进行的22248例TAVR手术的数据。开发了一个贝叶斯分层模型,以估计针对40个患者基线因素进行调整的医院特定风险调整死亡率。共观察到1130例住院死亡(5.1%)。可靠性调整后的风险调整死亡率估计范围为3.4%至7.7%,四分位间距为4.8%至5.4%。与平均水平以下1个标准差的医院相比,如果患者由平均水平以上1个标准差的医院治疗,其预测死亡几率高出80%(优势比=1.8;95%可信区间,1.4%-2.2%)。
TAVR住院死亡率的风险建模揭示了美国早期商业经验期间风险调整死亡率的差异。使用该模型的经导管瓣膜治疗注册研究分析将支持研究、反馈报告以及识别与质量相关的因素。