13,961 patients with aortic stenosis who underwent elective surgical aortic valve replacement (SAVR) with or without coronary artery bypass grafting, identified from the Japan Adult Cardiovascular Surgery Database.
Surgical aortic valve replacement (SAVR)
Hospital mortality and morbidity (including long hospital stay ≥90 days and moderately or severely decompressed activity at discharge defined as modified Rankin scale ≥4)composite
A risk model derived from a large Japanese national database can predict hospital mortality and morbidity, including prolonged length of stay and functional status at discharge, for patients undergoing SAVR.
Background: The aim of this study was to determine adequate indication for transcatheter aortic valve replacement (TAVR). We analyzed risk factors of surgical aortic valve replacement (SAVR) not only for mortality, but also for morbidity, including long hospital stay (≥90 days) and patient activity at discharge, in patients who underwent SAVR for aortic stenosis (AS). Methods and Results: Using the Japan Adult Cardiovascular Surgery Database (JCVSD), 13,961 patients with or without coronary artery bypass grafting who underwent elective SAVR for AS were identified from January 2008 to December 2012. The hospital mortality rate was 3.1%. The percentage of patients who had long hospital stay (≥90 days) and who had moderately or severely decompressed activity at discharge (modified Rankin scale ≥4) was 2.9% and 6.5%, respectively. Eleven and 20 preoperative predictors of hospital mortality and morbidity, respectively, including long hospital stay and compromised status at discharge, were identified. Based on these risk factors, the risk model predicted hospital mortality (area under the curve AUC, 0.732) and morbidity (AUC, 0.694). Conclusions: Using JCVSD, a risk model of SAVR was developed for AS. This model can identify patients at high risk not only for mortality, but also for mortality and morbidity, including long hospital stay and status at discharge.
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Takashi Yamauchi
Hiroshi Takano
Hiroaki Miyata
Circulation Reports
Toho University
Dokkyo Medical University
Social Insurance Saitama Chuo Hospital
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Yamauchi et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69dd59480a7b4bc8c41017cc — DOI: https://doi.org/10.1253/circrep.cr-19-0010