医学
危险系数
比例危险模型
接收机工作特性
临床终点
内科学
心脏病学
回顾性队列研究
外科
置信区间
临床试验
作者
Sharon Shalom Natanzon,Keita Koseki,Danon Kaewkes,Ofir Koren,Vivek Patel,Alon Shechter,Alexander Fardman,Mamoo Nakamura,Tarun Chakravarty,Raj Makkar
摘要
Abstract Background Limited data exist regarding the performance of the Society of Thoracic Surgeons (STS) risk score among transcatheter mitral edge‐to‐edge repair (TEER) patients. Objective Evaluate STS score accuracy, and the incremental value of post‐procedural left atrial pressure (LAP). Methods A retrospective analysis of TEER patients between 2013 and 2020. Patients were allocated into 3 groups: high (≥8% [ n = 298, 31%]), intermediate (4%−8% [ n = 318, 33%]), and low (<4% [ n = 344, 36%]). Primary outcomes included 1‐year mortality or cardiovascular hospitalizations. Cox proportional hazards regression modeling was used to determine the hazard ratio of the primary outcome, and STS score accuracy was assessed by receiver operating characteristic. A spline curve was used to display the relationship between LAP and the primary endpoint. Continuous net reclassification improvement (NRI) was used to determine the incremental value of LAP. Results We included 960 patients, primarily elderly (79 [70−85]), with a median STS risk of 5.6 (3−9). High‐risk patients were older (83 [75−89], 81 [74−87], 72 [64−79], p < 0.001), and had more comorbidities compared to intermediate and low‐risk groups. Upon Cox regression, STS score (high vs. low: HR 2.5 [1.7−3.8]; Intermediate vs. low: HR 1.8 [1.2−2.7] and LAP HR 1.03 [1.01−1.06], p = 0.007) were associated with the outcome. C statistics analysis revealed low accuracy of the STS score (AUC‐0.61 [0.58−0.65, p < 0.001]). Continuous NRI analysis indicated an improvement in risk prediction of 17% (6.9−26.2), p < 0.001. Conclusion STS risk score has low accuracy in predicting clinical outcomes after TEER. Adding LAP measurements can improve reclassification and identify those prone to adverse outcomes.
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