Evidence map›Paper›PMID 29782388›Full record

ArticleJournal of neurosurgical anesthesiology2019

Glasgow Coma Scale Score Fluctuations are Inversely Associated With a NIRS-based Index of Cerebral Autoregulation in Acutely Comatose Patients.

Ryan J Healy, Andres Zorrilla-Vaca, Wendy Ziai, Marek A Mirski, Charles W Hogue, Romergryko Geocadin, Batya Radzik, Caitlin Palmisano, Lucia Rivera-Lara

Open access · greenAbstract read
In one paragraph

Article in Journal of neurosurgical anesthesiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 17% 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, 21 citations in OpenAlex.

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  7. Multimodal neurocritical monitoring.Biomedical journal · 2020
    Review
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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 5 institutions in 2 countries.

Ryan J HealyDepartments of Anesthesiology and Critical Care Medicine.
Andres Zorrilla-VacaDepartments of Anesthesiology and Critical Care Medicine.
Wendy ZiaiDepartments of Anesthesiology and Critical Care Medicine.
Marek A MirskiNeurology, Johns Hopkins University School of Medicine.
Charles W HogueDepartment of Anesthesiology, Northwestern University Feinberg, School of Medicine, Chicago, IL.
Romergryko GeocadinDepartments of Anesthesiology and Critical Care Medicine.
Batya RadzikDepartment of Anesthesia and Critical Care Medicine, The Johns Hopkins Hospital, Baltimore, MD.
Caitlin PalmisanoDepartment of Anesthesia and Critical Care Medicine, The Johns Hopkins Hospital, Baltimore, MD.
Lucia Rivera-LaraDepartments of Anesthesiology and Critical Care Medicine.
Johns Hopkins University · USJohns Hopkins Hospital · USJohns Hopkins Medicine · USNorthwestern University · USUniversidad del Valle · CO

Funding

Continuous Cerebral Autoregulation Monitoring to Reduce Brain Injury from CardiacR01HL092259 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HOGUE, CHARLES W · 2009 to 2018
$3.4M
NHLBI NIH HHS R01 HL092259
6 · The paper itself

Abstract

backgroundThe Glasgow Coma Scale (GCS) is an essential coma scale in critical care for determining the neurological status of patients and for estimating their long-term prognosis. Similarly, cerebral autoregulation (CA) monitoring has shown to be an accurate technique for predicting clinical outcomes. However, little is known about the relationship between CA measurements and GCS scores among neurological critically ill patients. This study aimed to explore the association between noninvasive CA multimodal monitoring measurements and GCS scores.

methodsAcutely comatose patients with a variety of neurological injuries admitted to a neurocritical care unit were monitored using near-infrared spectroscopy-based multimodal monitoring for up to 72 hours. Regional cerebral oxygen saturation (rScO2), cerebral oximetry index (COx), GCS, and GCS motor data were measured hourly. COx was calculated as a Pearson correlation coefficient between low-frequency changes in rScO2 and mean arterial pressure. Mixed random effects models with random intercept was used to determine the relationship between hourly near-infrared spectroscopy-based measurements and GCS or GCS motor scores.

resultsA total of 871 observations (h) were analyzed from 57 patients with a variety of neurological conditions. Mean age was 58.7±14.2 years and the male to female ratio was 1:1.3. After adjusting for hemoglobin and partial pressure of carbon dioxide in arterial blood, COx was inversely associated with GCS (β=-1.12, 95% confidence interval [CI], -1.94 to -0.31, P=0.007) and GCS motor score (β=-1.06, 95% CI, -2.10 to -0.04, P=0.04). In contrast rScO2 was not associated with GCS (β=-0.002, 95% CI, -0.01 to 0.01, P=0.76) or GCS motor score (β=-0.001, 95% CI, -0.01 to 0.01, P=0.84).

conclusionsThis study showed that fluctuations in GCS scores are inversely associated with fluctuations in COx; as COx increases (impaired autoregulation), more severe neurological impairment is observed. However, the difference in COx between high and low GCS is small and warrants further studies investigating this association. CA multimodal monitoring with COx may have the potential to be used as a surrogate of neurological status when the neurological examination is not reliable (ie, sedation and paralytic drug administration).

Indexed as

Cerebrovascular CirculationGlasgow Coma ScaleSpectroscopy, Near-InfraredAdultAgedAged, 80 and overComaCritical CareFemaleHomeostasisHumansMaleMiddle AgedMonitoring, PhysiologicOxygen Consumption

Identifiers

PMID29782388
PMCPMC6240506
OpenAlexW2803193920

What OpenQuestion holds

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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.