Literature DB >> 31784852

Hypotension Prediction Index based protocolized haemodynamic management reduces the incidence and duration of intraoperative hypotension in primary total hip arthroplasty: a single centre feasibility randomised blinded prospective interventional trial.

Emmanuel Schneck1, Dagmar Schulte2, Lukas Habig2, Sophie Ruhrmann2, Fabian Edinger2, Melanie Markmann2, Marit Habicher2, Markus Rickert3, Christian Koch2, Michael Sander2.   

Abstract

The "Hypotension Prediction Index (HPI)" represents a newly introduced monitoring-tool that aims to predict episodes of intraoperative hypotension (IOH) before their occurrence. In order to evaluate the feasibility of protocolized care according to HPI monitoring, we hypothesized that HPI predicts the incidence of IOH and reduces the incidence and duration of IOH. This single centre feasibility randomised blinded prospective interventional trial included at total of 99 patients. One group was managed by goal-directed therapy algorithm based on HPI (HPI, n = 25), which was compared to a routine anaesthetic care cohort (CTRL, n = 24) and a third historic control group (hCTRL, n = 50). Primary endpoints included frequency (n)/h, absolute and relative duration (t (min)/% of total anaesthesia time) of IOH. Significant reduction of intraoperative hypotension was recorded in the HPI group compared to the control groups (HPI 48%, CTRL 87.5%, hCTRL 80%; HPI vs. CTRL, respectively hCTRL p < 0.001). Perioperative quantity of IOH was significantly reduced in the interventional group compared to both other study groups (HPI: 0 (0-1), CTRL: 5 (2-6), hCTRL: 2 (1-3); p < 0.001). Same observations were identified for absolute (HPI: 0 (0-140) s, CTRL: 640 (195-1315) s, hCTRL 660 (180-1440) s; p < 0.001) and relative duration of hypotensive episodes (minutes MAP ≤ 65 mmHg in  % of total anaesthesia time; HPI: 0 (0-1), CTRL: 6 (2-12), hCTRL 7 (2-17); p < 0.001). The HPI algorithm combined with a protocolized treatment was able to reduce the incidence and duration of hypotensive events in patients undergoing primary hip arthroplasty.Trial registration: NCT03663270.

Entities:  

Keywords:  Goal-directed therapy; Hypotension; Hypotension Prediction Index; Intraoperative hypotension; Total hip arthroplasty

Year:  2019        PMID: 31784852     DOI: 10.1007/s10877-019-00433-6

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  16 in total

1.  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 2.  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
Journal:  J Clin Med       Date:  2022-09-22       Impact factor: 4.964

3.  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

4.  Development and validation pathways of artificial intelligence tools evaluated in randomised clinical trials.

Authors:  George C M Siontis; Romy Sweda; Peter A Noseworthy; Paul A Friedman; Konstantinos C Siontis; Chirag J Patel
Journal:  BMJ Health Care Inform       Date:  2021-12

Review 5.  Central Hypovolemia Detection During Environmental Stress-A Role for Artificial Intelligence?

Authors:  Björn J P van der Ster; Yu-Sok Kim; Berend E Westerhof; Johannes J van Lieshout
Journal:  Front Physiol       Date:  2021-12-15       Impact factor: 4.566

6.  Performance of a machine-learning algorithm to predict hypotension in mechanically ventilated patients with COVID-19 admitted to the intensive care unit: a cohort study.

Authors:  Ward H van der Ven; Lotte E Terwindt; Nurseda Risvanoglu; Evy L K Ie; Marije Wijnberge; Denise P Veelo; Bart F Geerts; Alexander P J Vlaar; Björn J P van der Ster
Journal:  J Clin Monit Comput       Date:  2021-11-13       Impact factor: 1.977

7.  Hypotension prediction index together with cerebral oxygenation in guiding intraoperative hemodynamic management: a case report.

Authors:  Yun Li; Janet Phan; Azaam Mamoor; Hong Liu
Journal:  J Biomed Res       Date:  2022-01-10

8.  Goal-directed haemodynamic therapy during general anaesthesia for noncardiac surgery: a systematic review and meta-analysis.

Authors:  Marie K Jessen; Mikael F Vallentin; Mathias J Holmberg; Maria Bolther; Frederik B Hansen; Johanne M Holst; Andreas Magnussen; Niklas S Hansen; Cecilie M Johannsen; Johannes Enevoldsen; Thomas H Jensen; Lara L Roessler; Peter C Lind; Maibritt P Klitholm; Mark A Eggertsen; Philip Caap; Caroline Boye; Karol M Dabrowski; Lasse Vormfenne; Maria Høybye; Jeppe Henriksen; Carl M Karlsson; Ida R Balleby; Marie S Rasmussen; Kim Pælestik; Asger Granfeldt; Lars W Andersen
Journal:  Br J Anaesth       Date:  2021-12-13       Impact factor: 11.719

9.  The Use of the Hypotension Prediction Index Integrated in an Algorithm of Goal Directed Hemodynamic Treatment during Moderate and High-Risk Surgery.

Authors:  Marina Tsoumpa; Aikaterini Kyttari; Stamo Matiatou; Maria Tzoufi; Panayota Griva; Emmanouil Pikoulis; Maria Riga; Paraskevi Matsota; Tatiana Sidiropoulou
Journal:  J Clin Med       Date:  2021-12-15       Impact factor: 4.241

10.  Proactive Management of Intraoperative Hypotension Reduces Biomarkers of Organ Injury and Oxidative Stress during Elective Non-Cardiac Surgery: A Pilot Randomized Controlled Trial.

Authors:  Paolo Murabito; Marinella Astuto; Filippo Sanfilippo; Luigi La Via; Francesco Vasile; Francesco Basile; Alessandro Cappellani; Lucia Longhitano; Alfio Distefano; Giovanni Li Volti
Journal:  J Clin Med       Date:  2022-01-13       Impact factor: 4.241

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