The role of evidence-based algorithms for rotational thromboelastometry-guided bleeding management / 대한마취과학회지
Korean Journal of Anesthesiology
;
: 297-322, 2019.
Artigo
em Inglês
| WPRIM
| ID: wpr-759554
ABSTRACT
Rotational thromboelastometry (ROTEM) is a point-of-care viscoelastic method and enables to assess viscoelastic profiles of whole blood in various clinical settings. ROTEM-guided bleeding management has become an essential part of patient blood management (PBM) which is an important concept in improving patient safety. Here, ROTEM testing and hemostatic interventions should be linked by evidence-based, setting-specific algorithms adapted to the specific patient population of the hospitals and the local availability of hemostatic interventions. Accordingly, ROTEM-guided algorithms implement the concept of personalized or precision medicine in perioperative bleeding management (‘theranostic’ approach). ROTEM-guided PBM has been shown to be effective in reducing bleeding, transfusion requirements, complication rates, and health care costs. Accordingly, several randomized-controlled trials, meta-analyses, and health technology assessments provided evidence that using ROTEM-guided algorithms in bleeding patients resulted in improved patient's safety and outcomes including perioperative morbidity and mortality. However, the implementation of ROTEM in the PBM concept requires adequate technical and interpretation training, education and logistics, as well as interdisciplinary communication and collaboration.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Organização e Administração
/
Avaliação da Tecnologia Biomédica
/
Tromboelastografia
/
Mortalidade
/
Custos de Cuidados de Saúde
/
Sistemas Automatizados de Assistência Junto ao Leito
/
Comportamento Cooperativo
/
Comunicação Interdisciplinar
/
Educação
/
Medicina de Precisão
Tipo de estudo:
Ensaio Clínico Controlado
/
Avaliação de Tecnologias em Saúde
/
Estudo prognóstico
Limite:
Humanos
Idioma:
Inglês
Revista:
Korean Journal of Anesthesiology
Ano de publicação:
2019
Tipo de documento:
Artigo
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