Intraoperative hypotension prediction in cardiac and noncardiac procedures: is HPI truly worthwhile? A systematic review and meta-analysis.

Journal: BMC anesthesiology
Published Date:

Abstract

BACKGROUND: Intraoperative hypotension (IOH), defined as a mean arterial pressure (MAP) below 65 mmHg, is a common complication during surgery and is associated with significant postoperative morbidity, including acute kidney injury, myocardial injury, stroke, and increased mortality. Despite the availability of traditional monitoring techniques, predicting and preventing IOH remains a challenge. The Hypotension Prediction Index (HPI), a machine-learning algorithm developed by Edwards Lifesciences, aims to predict IOH by analyzing real-time arterial waveform data, offering an opportunity for proactive management.

Authors

  • Erfan Shirmohamadi
    Surgery Research Departement, Imam Hospital Complex, Keshavarz blvd, Tehran, Iran. shirmohamadi.erf@gmail.com.
  • Reza Hosseini Dolama
    Surgery Research Departement, Imam Hospital Complex, Keshavarz blvd, Tehran, Iran.
  • Narjes Mohammadzadeh
    Surgery Research Departement, Imam Hospital Complex, Keshavarz blvd, Tehran, Iran.
  • Navid Ebrahimi
    Surgery Research Departement, Imam Hospital Complex, Keshavarz blvd, Tehran, Iran.
  • Negar Ghasemloo
    Surgery Research Departement, Imam Hospital Complex, Keshavarz blvd, Tehran, Iran.