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

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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 nomograrn 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.
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