Evidence map›Paper›PMID 34642842›Full record

ArticleNeurocritical care2022

Modeling Brain-Heart Crosstalk Information in Patients with Traumatic Brain Injury.

Giovanna Maria Dimitri, Erta Beqiri, Michal M Placek, Marek Czosnyka, Nino Stocchetti, Ari Ercole, Peter Smielewski, Pietro Lió, CENTER-TBI Collaborators

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Neurocritical care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  4. Article
  5. Article
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  7. Article
  8. Review
  9. Eight rules for the haemodynamic management of traumatic brain-injured patients.European journal of anaesthesiology and intensive care · 2023
    Article
  10. Article
  11. Review
  12. Article
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

9 authors at 4 institutions in 3 countries.

Giovanna Maria DimitriComputer Laboratory, University of Cambridge, Cambridge, UK. giovanna.dimitri@unisi.it.ORCID http://orcid.org/0000-0002-2728-4272
Erta BeqiriBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Michal M PlacekBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Marek CzosnykaBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Nino StocchettiDepartment of Physiology and Transplantation, University of Milan, Milan, Italy.
Ari ErcoleDivision of Anesthesia, University of Cambridge, Cambridge, UK.
Peter Smielewski *Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Pietro Lió *Computer Laboratory, University of Cambridge, Cambridge, UK.
CENTER-TBI Collaborators
University of Cambridge · GBUniversity of Milan · ITUniversity of Siena · ITWrocław University of Science and Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraumatic brain injury (TBI) is an extremely heterogeneous and complex pathology that requires the integration of different physiological measurements for the optimal understanding and clinical management of patients. Information derived from intracranial pressure (ICP) monitoring can be coupled with information obtained from heart rate (HR) monitoring to assess the interplay between brain and heart. The goal of our study is to investigate events of simultaneous increases in HR and ICP and their relationship with patient mortality..

methodsIn our previous work, we introduced a novel measure of brain-heart interaction termed brain-heart crosstalks (ct

resultsA total of 226 patients with TBI were included in this cohort. The data set included monitored parameters (ICP and HR), as well as laboratory, demographics, and clinical information. The number of detected brain-heart crosstalks varied (mean 58, standard deviation 57). The Kruskal-Wallis test comparing brain-heart crosstalks measures of survivors and nonsurvivors showed statistically significant differences between the two distributions (p values: 0.02 for [Formula: see text], 0.005 for ct

conclusionsThe presence of a negative relationship between mortality and brain-heart crosstalks indicators suggests that a healthy brain-cardiovascular interaction plays a role in TBI.

Indexed as

AdolescentAdultAgedAged, 80 and overBrainBrain Injuries, TraumaticCohort StudiesHeartHeart RateHumansIntracranial PressureMiddle AgedMonitoring, PhysiologicYoung AdultCENTER-TBIIntracranial pressureRaised heart rateRaised intracranial pressureTraumatic brain injury

Identifiers

PMID34642842
PMCPMC9110542
OpenAlexW3205677994

What OpenQuestion holds

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LicenceCC BY
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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.