Journal of geriatric cardiology : JGC · 2020
Risk scoring model for prediction of non-home discharge after transcatheter aortic valve replacement.
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Okoh Alexis K, Ozturk Ebru, Gold Justin, Siddiqui Emaad, Dhaduk Nehal, Haik Bruce, Chen Chun-Guang, Cohen Marc, Russo Mark J
Аннотация
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.
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.