Evidence map›Paper›PMID 25286829›Full record

ArticleScandinavian journal of trauma, resuscitation and emergency medicine2014

Monitoring of cerebral oxygen saturation during resuscitation in out-of-hospital cardiac arrest: a feasibility study in a physician staffed emergency medical system.

Jens-Christian Schewe, Marcus O Thudium, Jochen Kappler, Folkert Steinhagen, Lars Eichhorn, Felix Erdfelder, Ulrich Heister, Richard Ellerkmann

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02684955 (Non-invasive Neurological Evaluation During Cardiopulmonary Resuscitation for Out of Hospital Cardiac Arrest Patients Neuro-E-CPR Study), which is not on this map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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.

NCT02684955 completednot on this mapstarted 2016, after this paper: background citation

Non-invasive Neurological Evaluation During Cardiopulmonary Resuscitation for Out of Hospital Cardiac Arrest Patients Neuro-E-CPR Study

TypeobservationalSponsorUniversity Hospital, GrenobleRan2016 to 2019Enrolled112ConditionsCardiac ArrestArmsCerebral spectroscopy, Pupillometry
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Prehospital monitoring of cerebral circulation during out of hospital cardiac arrest ? A feasibility study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2022
    Article
  8. Article
  9. Observational
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  11. Article
  12. Article
  13. Review
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  15. Article
  16. Article
  17. Observational
  18. Review
  19. A Model to Simulate Clinically Relevant Hypoxia in Humans.Journal of visualized experiments : JoVE · 2016
    Article
  20. 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

8 authors at 1 institution in 1 country.

Jens-Christian Schewe
Marcus O ThudiumDepartment of Anaesthesiology, University of Bonn Medical Center, Sigmund-Freud-Str, 25, Bonn, 53105, Germany. marcus.thudium@ukb.uni-bonn.de.
Jochen Kappler
Folkert Steinhagen
Lars Eichhorn
Felix Erdfelder
Ulrich Heister
Richard Ellerkmann
University of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite recent advances in resuscitation algorithms, neurological injury after cardiac arrest due to cerebral ischemia and reperfusion is one of the reasons for poor neurological outcome. There is currently no adequate means of measuring cerebral perfusion during cardiac arrest. It was the aim of this study to investigate the feasibility of measuring near infrared spectroscopy (NIRS) as a potential surrogate parameter for cerebral perfusion in patients with out-of-hospital resuscitations in a physician-staffed emergency medical service.

methodsAn emergency physician responding to out-of-hospital emergencies was equipped with a NONIN cerebral oximetry device. Cerebral oximetry values (rSO2) were continuously recorded during resuscitation and transport. Feasibility was defined as >80% of total achieved recording time in relation to intended recording time.

results10 patients were prospectively enrolled. In 89.8% of total recording time, rSO2 values could be recorded (213 minutes and 20 seconds), thus meeting feasibility criteria. 3 patients experienced return of spontaneous circulation (ROSC). rSO2 during manual cardiopulmonary resuscitation (CPR) was lower in patients who did not experience ROSC compared to the 3 patients with ROSC (31.6%, ± 7.4 versus 37.2% ± 17.0). ROSC was associated with an increase in rSO2. Decrease of rSO2 indicated occurrence of re-arrest in 2 patients. In 2 patients a mechanical chest compression device was used. rSO2 values during mechanical compression were increased by 12.7% and 19.1% compared to manual compression.

conclusionsNIRS monitoring is feasible during resuscitation of patients with out-of-hospital cardiac arrest and can be a useful tool during resuscitation, leading to an earlier detection of ROSC and re-arrest. Higher initial rSO2 values during CPR seem to be associated with the occurrence of ROSC. The use of mechanical chest compression devices might result in higher rSO2. These findings need to be confirmed by larger studies.

Indexed as

Emergency Medical ServicesAgedAged, 80 and overBrain IschemiaCardiopulmonary ResuscitationCerebrovascular CirculationFeasibility StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedMonitoring, PhysiologicOut-of-Hospital Cardiac ArrestOximetryOxygenOxygen

Identifiers

PMID25286829
PMCPMC4196010
OpenAlexW2089721052

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.