Evidence map›Paper›PMID 38310591›Full record

Trial reportJournal of clinical monitoring and computing2024

Control of mean arterial pressure using a closed-loop system for norepinephrine infusion in severe brain injury patients: the COMAT randomized controlled trial.

Alexandre Joosten, Joseph Rinehart, Maxime Cannesson, Sean Coeckelenbergh, Jonas Pochard, Eric Vicaut, Jacques Duranteau

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of clinical monitoring and computing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Target controlled infusion in the intensive care unit: a scoping review.Journal of clinical monitoring and computing · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. 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

7 authors at 5 institutions in 2 countries.

Alexandre JoostenDepartment of Anesthesiology & Perioperative Medicine, David Geffen School of Medicine, Ronald Reagan Medical Center, University of California Los Angeles, 757 Westwood Plaza, Los Angeles, CA, 90095, USA. joosten-alexandre@hotmail.com.
Joseph RinehartDepartment of Anesthesiology & Perioperative Care, University of California Irvine, California, CA, 92868, USA.
Maxime CannessonDepartment of Anesthesiology & Perioperative Medicine, David Geffen School of Medicine, Ronald Reagan Medical Center, University of California Los Angeles, 757 Westwood Plaza, Los Angeles, CA, 90095, USA.
Sean CoeckelenberghDepartment of Anesthesiology, Université Paris-Saclay, Hôpital Paul-Brousse, Assistance Publique Hôpitaux de Paris, Villejuif, France.
Jonas PochardDepartment of Intensive Care, Université Paris-Saclay, Hôpital Bicetre, Assistance Publique Hôpitaux de Paris, Le Kremlin Bicetre, France.
Eric VicautUnité de Recherche Clinique, Lariboisière University Hospital, Paris 7 Diderot University, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France.
Jacques DuranteauDepartment of Intensive Care, Université Paris-Saclay, Hôpital Bicetre, Assistance Publique Hôpitaux de Paris, Le Kremlin Bicetre, France.
Assistance Publique – Hôpitaux de Paris · FRUniversity of California, Los Angeles · USBicêtre Hospital · FRUniversité Paris-Saclay · FRUniversity of California, Irvine · US

Funding

Personalized Risk Prediction for Prevention and Early Detection of Postoperative Failure to RescueR01EB035028 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Maxime Cannesson · 2023 to 2026
$2.3M
NIBIB NIH HHS R01 EB035028
6 · The paper itself

Abstract

Brain injury patients require precise blood pressure (BP) management to maintain cerebral perfusion pressure (CPP) and avoid intracranial hypertension. Nurses have many tasks and norepinephrine titration has been shown to be suboptimal. This can lead to limited BP control in patients that are in critical need of cerebral perfusion optimization. We have designed a closed-loop vasopressor (CLV) system capable of maintaining mean arterial pressure (MAP) in a narrow range and we aimed to assess its performance when treating severe brain injury patients. Within the first 48 h of intensive care unit (ICU) admission, 18 patients with a severe brain injury underwent either CLV or manual norepinephrine titration. In both groups, the objective was to maintain MAP in target (within ± 5 mmHg of a predefined target MAP) to achieve optimal CPP. Fluid administration was standardized in the two groups. The primary objective was the percentage of time patients were in target. Secondary outcomes included time spent over and under target. Over the four-hour study period, the mean percentage of time with MAP in target was greater in the CLV group than in the control group (95.8 ± 2.2% vs. 42.5 ± 27.0%, p < 0.001). Severe undershooting, defined as MAP < 10 mmHg of target value was lower in the CLV group (0.2 ± 0.3% vs. 7.4 ± 14.2%, p < 0.001) as was severe overshooting defined as MAP > 10 mmHg of target (0.0 ± 0.0% vs. 22.0 ± 29.0%, p < 0.001). The CLV system can maintain MAP in target better than nurses caring for severe brain injury patients.

Indexed as

Brain InjuriesNorepinephrineArterial PressureHumansIntensive Care UnitsIntracranial PressureVasoconstrictor AgentsNorepinephrineVasoconstrictor AgentsArterial pressureAutomationHemodynamicsNeurocritical carePerfusion pressure

Identifiers

PMID38310591
PMCPMC11330589
OpenAlexW4391521748

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.