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The value of hypotensive prediction index and dP/dtmax to predict and treat hypotension in a patient with a dilated cardiomyopathy. / Valor del índice de predicción de la hipotensión y el dP/dtmax para predecir y tratar la hipotensión en un paciente con miocardiopatía dilatada.
Solares, G; Barredo, F; Monge García, M I.
Afiliación
  • Solares G; Área de Anestesiología y Reanimación, Servicio de Anestesia, Hospital Universitario Marqués de Valdecílla, Santander, España. Electronic address: gumersindojavier.solares@scsalud.es.
  • Barredo F; Área de Anestesiología y Reanimación, Servicio de Anestesia, Hospital Universitario Marqués de Valdecílla, Santander, España.
  • Monge García MI; Área de Cuidados Intensivos, Departamento de Cuidados Críticos, Hospital SAS de Jerez, Jerez de la Frontera, Cádiz, España.
Rev Esp Anestesiol Reanim (Engl Ed) ; 67(10): 563-567, 2020 Dec.
Article en En, Es | MEDLINE | ID: mdl-33160689
ABSTRACT
The Hypotension Prediction Index (HPi) is a new parameter, recently developed to predict the risk of a patient developing a hypotensive event, defined as a fall in mean arterial pressure below 65 mmHg. The calculated HPi value is displayed on a monitor as a number ranging from 1 to 100; where the first warning for the appearance of such event occurs when HPi values exceed 85. A secondary screen shows the stroke volume variation value; the dP/dt max; and the dynamic arterial elastance. We described a patient with a mild to moderately dilated cardiomyopathy that presented several episodes of hypotension after induction of anaesthesia and how by using HPi technology, these were successfully solved. We recommend the use of a HPi value >85 as a warning of intervention, and to use the secondary screen to determine the cause and the treatment. We consider that HPi technology may be a valid alternative for the anaesthetic management of patients with a dilated cardiomyopathy.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En / Es Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En / Es Año: 2020 Tipo del documento: Article