Hypotension prediction index for the prevention of hypotension during surgery and critical care: A narrative review

Siwen Dong, Qing Wang, Shuai Wang,Congcong Zhou,Hongwei Wang

COMPUTERS IN BIOLOGY AND MEDICINE(2024)

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摘要
Surgeons and anesthesia clinicians commonly face a hemodynamic disturbance known as intraoperative hypotension (IOH), which has been linked to more severe postoperative outcomes and increases mortality rates. Increased occurrence of IOH has been positively associated with mortality and incidence of myocardial infarction, stroke, and organ dysfunction hypertension. Hence, early detection and recognition of IOH is meaningful for perioperative management. Currently, when hypotension occurs, clinicians use vasopressor or fluid therapy to intervene as IOH develops but interventions should be taken before hypotension occurs; therefore, the Hypotension Prediction Index (HPI) method can be used to help clinicians further react to the IOH process. This literature review evaluates the HPI method, which can reliably predict hypotension several minutes before a hypotensive event and is beneficial for patients' outcomes.
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关键词
Artificial intelligence (AI),Machine learning (ML),Blood pressure (BP),Hemodynamic monitoring,Hypotension prediction index (HPI),Mean arterial pressure (MAP)
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