Abstract
Abstract Introduction and objectives Evidence regarding the safety of early discharge following transcatheter aortic valve implantation (TAVI) is limited. The aim of this study was to evaluate the safety of very early (<24) and early discharge (24-48h) as compared to standard discharge (>48h), supported by the implementation of a voice-based virtual assistant using Artificial Intelligence (AI) and Natural Language Processing. Methods Single-arm prospective observational study that included consecutive patients who underwent TAVI in a tertiary hospital in 2023 and were discharged under an AI follow-up program. Primary end point was a composite of death, pacemaker implantation, readmission for heart failure, stroke, acute myocardial infarction, major vascular complications, or major bleeding, at 30-day follow-up. Results A total of 274 patients were included. 110 (40.1%) patients were discharged very early (<24h), 90 (32.9%) early (24-48h) and 74 (27.0%) were discharged after 48h. At 30-day follow-up no significant differences were found among patients discharged very early, early and those discharged after 48h for the primary endpoint (very early 9.1% vs early 11.1% vs standard 9.5%; p = 0.88). The AI platform detected complications that could be effectively addressed. The implementation of this follow-up system was simple and satisfactory for TAVI patients. Conclusions Early and very early discharge in patients undergoing TAVI, supported by close follow-up using AI, was shown to be safe. Patients with early and very early discharge had similar 30-day event rates compared to those with longer hospital stays. The AI system contributed to the early detection and resolution of complications.
Published Version
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