Evidence map›Paper›PMID 37588176›Full record

ArticleBJA open2023

Intraoperative hypotension when using hypotension prediction index software during major noncardiac surgery: a European multicentre prospective observational registry (EU HYPROTECT).

Karim Kouz, Manuel Ignacio Monge García, Elisabetta Cerutti, Ivana Lisanti, Gaetano Draisci, Luciano Frassanito, Michael Sander, Amir Ali Akbari, Ulrich H Frey, Carla Davina Grundmann and 9 more

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in BJA open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
17.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06937918 narecruitingnot on this mapstarted 2025, after this paper: background citation

Effect of Dynamic Arterial Elastance and Assisted Fluid Management Software Guided Adjustment of Vasopressor and Fluid Therapy in Septic Shock Resuscitation; A Pilot Study

TypeinterventionalSponsorMahidol UniversityRan2025 to 2028Enrolled60ConditionsCritical Illness, Fluid Over-load, Dynamic Arterial Elastance, Septic ShockArmsThe AFM and Eadyn - guided resuscitation group, The standard care for septic shock
NCT07695376 recruitingnot on this mapstarted 2026, after this paper: background citation

CArdiovascular Risk Assessment Via Multimodal Data Analysis Enabling Personalised Prevention Strategies Targeting MEnopausaL Women - Observational Study

Typeobservational_patient_registrySponsorBiogipuzkoa Health Research InstituteRan2026 to 2028Enrolled3,000ConditionsPerimenopause, Menopause, Cardiovascular (CV) Risk, Women (Between 30 to 60 Years Old)
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 54 citations in OpenAlex.

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  16. Goal-directed therapy: what is the goal again?Perioperative medicine (London, England) · 2025
    Review
  17. Article
  18. Article
  19. Haemodynamic monitoring during noncardiac surgery: past, present, and future.Journal of clinical monitoring and computing · 2024
    Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 16 institutions in 6 countries.

Karim KouzDepartment of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Manuel Ignacio Monge GarcíaUnidad de Cuidados Intensivos, Hospital Universitario SAS Jerez, Jerez de La Frontera, Spain.
Elisabetta CeruttiDepartment of Anesthesia, Transplant and Surgical Intensive Care, Azienda Ospedaliero Universitaria Delle Marche, Ancona, Italy.
Ivana LisantiDepartment of Anesthesia, Transplant and Surgical Intensive Care, Azienda Ospedaliero Universitaria Delle Marche, Ancona, Italy.
Gaetano DraisciDepartment of Emergency, Intensive Care Medicine and Anesthesia, IRCCS Fondazione Policlinico Universitario Agostino Gemelli, Rome, Italy.
Luciano FrassanitoDepartment of Emergency, Intensive Care Medicine and Anesthesia, IRCCS Fondazione Policlinico Universitario Agostino Gemelli, Rome, Italy.
Michael SanderDepartment of Anaesthesiology, Intensive Care Medicine and Pain Medicine, University Hospital Giessen, Justus-Liebig University Giessen, Giessen, Germany.
Amir Ali AkbariDepartment of Anaesthesiology, Intensive Care Medicine and Pain Medicine, University Hospital Giessen, Justus-Liebig University Giessen, Giessen, Germany.
Ulrich H FreyDepartment of Anesthesiology, Intensive Care, Pain and Palliative Care, Marien Hospital Herne, Ruhr-University Bochum, Bochum, Germany.
Carla Davina GrundmannDepartment of Anesthesiology, Intensive Care, Pain and Palliative Care, Marien Hospital Herne, Ruhr-University Bochum, Bochum, Germany.
Simon James DaviesYork and Scarborough Teaching Hospitals NHS Foundation Trust, York, UK.
Abele DonatiDepartment of Biomedical Sciences and Public Health, Università Politecnica Delle Marche, Ancona, Italy.
Javier Ripolles-MelchorAnesthesia and Critical Care Department, Hospital Universitario Infanta Leonor, Madrid, Spain.
Daniel García-LópezDepartment of Anaesthesiology and Reanimation, University Hospital Marqués de Valdecilla, Santander, Spain.
Benjamin VojnarDepartment of Anaesthesiology and Intensive Care Medicine, University Hospital Marburg, Marburg, Germany.
Étienne GayatUniversité Paris Cité, INSERM, Paris, France.
Eric NollDepartment of Anesthesiology and Intensive Care, Hôpital de Hautepierre, Les Hôpitaux Universitaires de Strasbourg, Strasbourg, France.
Peter BramlageInstitute for Pharmacology and Preventive Medicine, Cloppenburg, Germany.
Bernd SaugelDepartment of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Agostino Gemelli University Polyclinic · ITUniversity of Giessen · DEAzienda Ospedaliero-Universitaria Careggi · ITAzienda Ospedaliero Universitaria Ospedali Riuniti · ITHôpitaux Universitaires de Strasbourg · FRHospital Universitario Infanta Leonor · ESHull York Medical School · GBInserm · FRIPPMed (Germany) · DEMarche Polytechnic University · ITMarqués de Valdecilla University Hospital · ESOutcomes Research Consortium · USPhilipps University of Marburg · DERuhr University Bochum · DEUniversität Hamburg · DEUniversitätsklinik Marien Hospital Herne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intraoperative hypotension is associated with organ injury. Current intraoperative arterial pressure management is mainly reactive. Predictive haemodynamic monitoring may help clinicians reduce intraoperative hypotension. The Acumen™ Hypotension Prediction Index software (HPI-software) (Edwards Lifesciences, Irvine, CA, USA) was developed to predict hypotension. We built up the European multicentre, prospective, observational EU HYPROTECT Registry to describe the incidence, duration, and severity of intraoperative hypotension when using HPI-software monitoring in patients having noncardiac surgery. Methods: We enrolled 749 patients having elective major noncardiac surgery in 12 medical centres in five European countries. Patients were monitored using the HPI-software. We quantified hypotension using the time-weighted average MAP <65 mm Hg (primary endpoint), the proportion of patients with at least one ≥1 min episode of a MAP <65 mm Hg, the number of ≥1 min episodes of a MAP <65 mm Hg, and duration patients spent below a MAP of 65 mm Hg. Results: We included 702 patients in the final analysis. The median time-weighted average MAP <65 mm Hg was 0.03 (0.00-0.20) mm Hg. In addition, 285 patients (41%) had no ≥1 min episode of a MAP <65 mm Hg; 417 patients (59%) had at least one. The median number of ≥1 min episodes of a MAP <65 mm Hg was 1 (0-3). Patients spent a median of 2 (0-9) min below a MAP of 65 mm Hg. Conclusions: The median time-weighted average MAP <65 mm Hg was very low in patients in this registry. This suggests that using HPI-software monitoring may help reduce the duration and severity of intraoperative hypotension in patients having noncardiac surgery.

Indexed as

artificial intelligenceblood pressurehaemodynamic instabilityhaemodynamic monitoringmachine learningpostoperative complications

Identifiers

PMID37588176
PMCPMC10430826
OpenAlexW4368408247

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.