Anesthesia & Clinical Research
Open Access

Abstract

The Value of the Hypotension Prediction Index as a Tool for Treatment of Haemodynamic Instability: A Clinical Review

Gumersindo Solares* and Daniel Garcia

Intraoperative Hypotension (IOH) is the most common cause of haemodynamic instability during general or spinal anesthesia. This phenomenon is associated with postoperative organ damage and death. The Hypotension Prediction Index (HPI) is the first machine learning software that may predict the appearance of hypotension, defined as a decrease in mean arterial pressure below 65 mmHg, at least 5 min in advance. This software is based on subtle arterial waveform changes induced by hypotension since its early stages. The present review analyses prospective as well as retrospective clinical published studies on the validation and reduction of IOH using HPI software during the last 6 years. Current evidence supports that HPI predicts with high accuracy the onset of hypotension and almost all evidence shows a significant reduction due to its use. However, the data concerning whether HPI may also improve postoperative outcomes is currently scarce and inconsistent.

Published Date: 2024-12-14; Received Date: 2024-11-06