03265-A: Improving Safety by Utilizing a Hypotensive Prediction Index (HPI) Computer to Predict Hypotension in Dogs Undergoing General Anesthesia

One Health: No

Abstract

Hypotension is defined when mean arterial blood pressure < 65 mmHg. Hypotension is a common complication in veterinary and human patients leading to high morbidity and mortality rates. For example, perioperative hypotension (PH) has been associated with postoperative complications in humans including high incidence of acute kidney injury, myocardial injury, mortality rate, and long hospitalization. Similarly, evidence for higher morbidity and mortality rates related to PH has been reported in veterinary medicine. Therefore, PH prevention is of great importance to improve the quality of anesthetic care and survival rate.

Recently, the Acumen IQ transducer and HemoSphere monitor were introduced in human anesthesia, emergency, and critical care to predict the risk for hypotension 5-15 minutes before it occurs. The device analyzes the arterial pressure waveform using a proprietary algorithm to generate a “Hypotensive Prediction Index (HPI).” The HemoSphere monitor HPI value ranges from 1 to 100 as a unitless number, where a higher number (close to 100) indicates a greater risk of hypotension occurring within 5-15 minutes. The optimal HPI cut-off value has been validated in human clinical settings to predict hypotension with a sensitivity of 88% and a specificity of 87%. The validation in human medicine has improved anesthesia management with shortened perioperative hypotensive periods and lower severity of hypotension. The objective of this study is to assess if HPI can predict PH in anesthetized dogs undergoing surgery and general anesthesia. The study will determine the optimal cut-off HPI value to predict hypotension in dogs.

Publication(s)

None at this time.