Academic Journal
Early discharge programme after transcatheter aortic valve implantation based on close follow-up supported by telemonitoring using artificial intelligence: the TeleTAVI study
| العنوان: | Early discharge programme after transcatheter aortic valve implantation based on close follow-up supported by telemonitoring using artificial intelligence: the TeleTAVI study |
|---|---|
| المؤلفون: | Herrero-Brocal, Marta, Samper, Raquel, Riquelme, Jorge, Pineda, Javier, Bordes, Pascual, Torres-Mezcua, Fernando, Valencia, José, Torres-Saura, Francisco, Manso, María González, Ajo, Raquel, Arenas, Juan, Feliu, Eloísa, Martínez, Juan Gabriel, Ruiz-Nodar, Juan Miguel |
| المصدر: | European Heart Journal - Digital Health ; volume 6, issue 1, page 73-81 ; ISSN 2634-3916 |
| بيانات النشر: | Oxford University Press (OUP) |
| سنة النشر: | 2024 |
| الوصف: | Aims 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 (24–48 h) as compared to standard discharge (>48 h), supported by the implementation of a voice-based virtual assistant using artificial intelligence (AI) and natural language processing. Methods and results 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 programme. Primary endpoint 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. A total of 274 patients were included. 110 (40.1%) patients were discharged very early (<24 h), 90 (32.9%) early (24–48 h), and 74 (27.0%) were discharged after 48 h. At 30-day follow-up, no significant differences were found among patients discharged very early, early, and those discharged after 48 h 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. Conclusion Early and very early discharge in patients undergoing TAVI, supported by close follow-up using AI, were 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. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1093/ehjdh/ztae089 |
| DOI: | 10.1093/ehjdh/ztae089/61151542/ztae089.pdf |
| الاتاحة: | https://doi.org/10.1093/ehjdh/ztae089 https://academic.oup.com/ehjdh/advance-article-pdf/doi/10.1093/ehjdh/ztae089/61151542/ztae089.pdf https://academic.oup.com/ehjdh/article-pdf/6/1/73/61151542/ztae089.pdf |
| Rights: | https://creativecommons.org/licenses/by-nc/4.0/ |
| رقم الانضمام: | edsbas.86D1311C |
| قاعدة البيانات: | BASE |
| DOI: | 10.1093/ehjdh/ztae089 |
|---|