Risk scoring model for prediction of non-home discharge after transcatheter aortic valve replacement

经导管主动脉瓣置换术后非居家出院预测风险评分模型

阅读:1

Abstract

BACKGROUND: Patients undergoing transcatheter aortic valve replacement (TAVR) are likely to be discharged to a location other than home. We aimed to determine the association between preoperative risk factors and non-home discharge after TAVR. METHODS: Patients discharged alive after TAVR at three centers were identified from a prospectively maintained database randomly divided into 80% derivation and 20% validation cohorts. Logistic regression models were fit to identify preoperative factors associated with non-home discharge in the derivation cohort. Multivariable models were developed and a nomogram based risk-scoring system was developed for use in preoperative counseling. RESULTS: Between June 2012 and December 2018, a total of 1, 163 patients had TAVR at three centers. Thirty-seven patients who died before discharge were excluded. Of the remaining 1, 126 patients (97%) who were discharged alive, the incidence of non-home discharge was 25.6% (n = 289). The patient population was randomly divided into the 80% (n = 900) derivation cohort and 20% (n = 226) validation cohort. Mean ± SD age of the study population was 83 ± 8 years. In multivariable analysis, factors that were significantly associated with non-home discharge were extreme age, female sex, higher STS scores, use of general anesthesia, elective procedures, chronic liver disease, non-transfemoral approach and postoperative complications. The unbiased estimate of the C-index was 0.81 and the model had excellent calibration. CONCLUSIONS: One out of every four patients undergoing TAVR is discharged to a location other than home. Identification of preoperative factors associated with non-home discharge can assist patient counseling and postoperative disposition planning.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。