Literature DB >> 30896602

Ability of an Arterial Waveform Analysis-Derived Hypotension Prediction Index to Predict Future Hypotensive Events in Surgical Patients.

Simon James Davies1, Simon Tilma Vistisen2, Zhongping Jian3, Feras Hatib3, Thomas W L Scheeren4.   

Abstract

BACKGROUND: Intraoperative hypotension is associated with worse perioperative outcomes for patients undergoing major noncardiac surgery. The Hypotension Prediction Index is a unitless number that is derived from an arterial pressure waveform trace, and as the number increases, the risk of hypotension occurring in the near future increases. We investigated the diagnostic ability of the Hypotension Prediction Index in predicting impending intraoperative hypotension in comparison to other commonly collected perioperative hemodynamic variables.
METHODS: This is a 2-center retrospective analysis of patients undergoing major surgery. Data were downloaded and analyzed from the Edwards Lifesciences EV1000 platform. Receiver operating characteristic curves were constructed for the Hypotension Prediction Index and other hemodynamic variables as well as event rates and time to event.
RESULTS: Two hundred fifty-five patients undergoing major surgery were included in the analysis yielding 292,025 data points. The Hypotension Prediction Index predicted hypotension with a sensitivity and specificity of 85.8% (95% CI, 85.8%-85.9%) and 85.8% (95% CI, 85.8%-85.9%) 5 minutes before a hypotensive event (area under the curve, 0.926 [95% CI, 0.925-0.926]); 81.7% (95% CI, 81.6%-81.8%) and 81.7% (95% CI, 81.6%-81.8%) 10 minutes before a hypotensive event (area under the curve, 0.895 [95% CI, 0.894-0.895]); and 80.6% (95% CI, 80.5%-80.7%) and 80.6% (95% CI, 80.5%-80.7%) 15 minutes before a hypotensive event (area under the curve, 0.879 [95% CI, 0.879-0.880]). The Hypotension Prediction Index performed superior to all other measured hemodynamic variables including mean arterial pressure and change in mean arterial pressure over a 3-minute window.
CONCLUSIONS: The Hypotension Prediction Index provides an accurate real time and continuous prediction of impending intraoperative hypotension before its occurrence and has superior predictive ability than the commonly measured perioperative hemodynamic variables.

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Mesh:

Year:  2020        PMID: 30896602     DOI: 10.1213/ANE.0000000000004121

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  27 in total

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3.  Real-world outcomes of the hypotension prediction index in the management of intraoperative hypotension during non-cardiac surgery: a retrospective clinical study.

Authors:  Gumersindo Javier Solares; Daniel Garcia; Manuel Ignacio Monge Garcia; Carlos Crespo; Jose Luis Rabago; Francisco Iglesias; Eduardo Larraz; Idoia Zubizarreta; Jose Manuel Rabanal
Journal:  J Clin Monit Comput       Date:  2022-06-02       Impact factor: 2.502

Review 4.  Prediction and Prevention of Intraoperative Hypotension with the Hypotension Prediction Index: A Narrative Review.

Authors:  Tatiana Sidiropoulou; Marina Tsoumpa; Panayota Griva; Vasiliki Galarioti; Paraskevi Matsota
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5.  A Machine Learning Approach for Predicting Real-time Risk of Intraoperative Hypotension in Traumatic Brain Injury.

Authors:  Shara I Feld; Daniel S Hippe; Ljubomir Miljacic; Nayak L Polissar; Shu-Fang Newman; Bala G Nair; Monica S Vavilala
Journal:  J Neurosurg Anesthesiol       Date:  2021-11-11       Impact factor: 3.969

6.  Intraoperative prediction of postanaesthesia care unit hypotension.

Authors:  Konstantina Palla; Stephanie L Hyland; Karen Posner; Pratik Ghosh; Bala Nair; Melissa Bristow; Yoana Paleva; Ben Williams; Christine Fong; Wil Van Cleve; Dustin R Long; Ronald Pauldine; Kenton O'Hara; Kenji Takeda; Monica S Vavilala
Journal:  Br J Anaesth       Date:  2021-12-17       Impact factor: 11.719

7.  Effect of a Machine Learning-Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery: The HYPE Randomized Clinical Trial.

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Journal:  JAMA       Date:  2020-03-17       Impact factor: 56.272

Review 8.  Artificial intelligence in perioperative medicine: a narrative review.

Authors:  Hyun-Kyu Yoon; Hyun-Lim Yang; Chul-Woo Jung; Hyung-Chul Lee
Journal:  Korean J Anesthesiol       Date:  2022-03-29

Review 9.  Intraoperative hypotension and its prediction.

Authors:  Jaap J Vos; Thomas W L Scheeren
Journal:  Indian J Anaesth       Date:  2019-11-08

Review 10.  Journal of Clinical Monitoring and Computing end of year summary 2019: hemodynamic monitoring and management.

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Journal:  J Clin Monit Comput       Date:  2020-03-14       Impact factor: 2.502

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