Evidence map›Paper›PMID 37119323›Full record

ArticleJournal of clinical monitoring and computing2023

Towards autoregulation-oriented management after traumatic brain injury: increasing the reliability and stability of the CPPopt algorithm.

Erta Beqiri, Ari Ercole, Marcel J H Aries, Michal M Placek, Jeanette Tas, Marek Czosnyka, Nino Stocchetti, Peter Smielewski, CENTER-TBI High Resolution (HR ICU) Sub-Study Participants and Investigators

Abstract read
In one paragraph

Article in Journal of clinical monitoring and computing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
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

40 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Review
  8. Article
  9. Observational
  10. Observational
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  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

9 authors.

Erta BeqiriBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK. vb391@cam.ac.uk.
Ari ErcoleDivision of Anaesthesia, University of Cambridge, Cambridge, UK.
Marcel J H AriesDepartment of Intensive Care Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands.
Michal M PlacekBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Jeanette TasDepartment of Intensive Care Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands.
Marek CzosnykaBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Nino StocchettiDepartment of Anaesthesia and Critical Care, Neuroscience Intensive Care Unit, Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, Milan, Italy.
Peter SmielewskiBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
CENTER-TBI High Resolution (HR ICU) Sub-Study Participants and Investigators

Funding

Action Medical Research GN2609CTBI scholarship 602150Medical Research Council,United Kingdom MR N013433-1Seventh Framework Programme 602150
6 · The paper itself

Abstract

purposeCPPopt denotes a Cerebral Perfusion Pressure (CPP) value at which the Pressure-Reactivity index, reflecting the global state of Cerebral Autoregulation, is best preserved. CPPopt has been investigated as a potential dynamically individualised CPP target in traumatic brain injury patients admitted in intensive care unit. The prospective bedside use of the concept requires ensured safety and reliability of the CPP recommended targets based on the automatically-generated CPPopt. We aimed to: Increase stability and reliability of the CPPopt automated algorithm by fine-tuning; perform outcome validation of the adjusted algorithm in a multi-centre TBI cohort.

methodsICM + software was used to derive CPPopt and fine-tune the algorithm. Parameters for improvement of the algorithm were selected based on qualitative and quantitative assessment of stability and reliability metrics. Patients enrolled in the Collaborative European Neuro Trauma Effectiveness Research in TBI (CENTER-TBI) high-resolution cohort were included for retrospective validation. Yield and stability of the new algorithm were compared to the previous algorithm using Mann-U test. Area under the curves for mortality prediction at 6 months were compared with the DeLong Test.

resultsCPPopt showed higher stability (p < 0.0001), but lower yield compared to the previous algorithm [80.5% (70-87.5) vs 85% (75.7-91.2), p < 0.001]. Deviation of CPPopt could predict mortality with an AUC of [AUC = 0.69 (95% CI 0.59-0.78), p < 0.001] and was comparable with the previous algorithm.

conclusionThe CPPopt calculation algorithm was fine-tuned and adapted for prospective use with acceptable lower yield, improved stability and maintained prognostic power.

Indexed as

Brain Injuries, TraumaticIntracranial PressureAlgorithmsCerebrovascular CirculationHomeostasisHumansReproducibility of ResultsRetrospective StudiesCerebral autoregulationCPPoptMultiwindow weighted approachReliabilityStabilityTraumatic brain injury

Identifiers

PMID37119323
PMCPMC10371880

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.