Online rehabilitation in adult Fontan patients: effects in functional capacity, lymphatic function and quality of life (2025)
- Authors:
- USP affiliated authors: JATENE, MARCELO BISCEGLI - FM ; JATENE, FABIO BISCEGLI - FM
- Unidade: FM
- DOI: 10.1016/j.ijcard.2025.133480
- Subjects: CAPACIDADE FUNCIONAL; SOBREVIDA; QUALIDADE DE VIDA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: International Journal of Cardiology
- ISSN: 0167-5273
- Volume/Número/Paginação/Ano: v. 437, article ID 133480, 9p, 2025
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
TURQUETTO, Aida Luiza Ribeiro et al. Online rehabilitation in adult Fontan patients: effects in functional capacity, lymphatic function and quality of life. International Journal of Cardiology, v. 437, 2025Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/88272. Acesso em: 31 mar. 2026. -
APA
Turquetto, A. L. R., Amato, L. P., Thorup, L., Kelly, B., Hjortdal, V. E., Souza, F. R. de, et al. (2025). Online rehabilitation in adult Fontan patients: effects in functional capacity, lymphatic function and quality of life. International Journal of Cardiology, 437. doi:10.1016/j.ijcard.2025.133480 -
NLM
Turquetto ALR, Amato LP, Thorup L, Kelly B, Hjortdal VE, Souza FR de, Caneo LF, Machado DS, Jatene MB, Jatene FB. Online rehabilitation in adult Fontan patients: effects in functional capacity, lymphatic function and quality of life [Internet]. International Journal of Cardiology. 2025 ; 437[citado 2026 mar. 31 ] Available from: https://observatorio.fm.usp.br/handle/OPI/88272 -
Vancouver
Turquetto ALR, Amato LP, Thorup L, Kelly B, Hjortdal VE, Souza FR de, Caneo LF, Machado DS, Jatene MB, Jatene FB. Online rehabilitation in adult Fontan patients: effects in functional capacity, lymphatic function and quality of life [Internet]. International Journal of Cardiology. 2025 ; 437[citado 2026 mar. 31 ] Available from: https://observatorio.fm.usp.br/handle/OPI/88272 - Improving preoperative risk-of-death prediction in surgery congenital heart defects using artificial intelligence model: A pilot study
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