The value of hypotensive prediction index and dP/dtmax to predict and treat hypotension in a patient with a dilated cardiomyopathy

التفاصيل البيبلوغرافية
العنوان: The value of hypotensive prediction index and dP/dtmax to predict and treat hypotension in a patient with a dilated cardiomyopathy
المؤلفون: M.I. Monge García, F. Barredo, G. Solares
المصدر: Revista Española de Anestesiología y Reanimación (English Edition). 67:563-567
بيانات النشر: Elsevier BV, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Anaesthetic management, medicine.medical_specialty, Mean arterial pressure, business.industry, Value (computer science), Dilated cardiomyopathy, General Medicine, Stroke volume, medicine.disease, Internal medicine, Dp dtmax, Arterial elastance, Cardiology, Medicine, business
الوصف: 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.
تدمد: 2341-1929
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::ca2afdfb2d377ab35a376c974127f9e5Test
https://doi.org/10.1016/j.redare.2020.02.004Test
حقوق: CLOSED
رقم الانضمام: edsair.doi...........ca2afdfb2d377ab35a376c974127f9e5
قاعدة البيانات: OpenAIRE