Evidence map›Paper›PMID 30379935›Full record

Trial reportPloS one2018

Variability in pharmacologically-induced coma for treatment of refractory status epilepticus.

Jingzhi An, Durga Jonnalagadda, Valdery Moura, Patrick L Purdon, Emery N Brown, M Brandon Westover

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Modulatory dynamics mark the transition between anesthetic states of unconsciousness.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Etiology of Burst Suppression EEG Patterns.Frontiers in psychology · 2021
    Article
  12. Review
  13. Review
  14. 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

6 authors at 2 institutions in 1 country.

Jingzhi AnMassachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.ORCID 0000-0002-6025-2301
Durga JonnalagaddaMassachusetts General Hospital, Harvard Medical School, Cambridge, Massachusetts, United States of America.
Valdery MouraMassachusetts General Hospital, Harvard Medical School, Cambridge, Massachusetts, United States of America.ORCID 0000-0001-5735-9143
Patrick L PurdonMassachusetts General Hospital, Harvard Medical School, Cambridge, Massachusetts, United States of America.
Emery N BrownMassachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
M Brandon WestoverMassachusetts General Hospital, Harvard Medical School, Cambridge, Massachusetts, United States of America.
Harvard University · USHarvard–MIT Division of Health Sciences and Technology · US

Funding

Redesigning General Anesthesia (Admin Supp)R01GM104948 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S., BROWN, EMERY N · 2012 to 2016
$4.4M
Quantitative Monitoring and Control of Sedation and Pain in the ICU EnvironmentK23NS090900 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2014 to 2018
$988k
NIGMS NIH HHS R01 GM104948NINDS NIH HHS K23 NS090900
6 · The paper itself

Abstract

objectiveTo characterize the amount of EEG suppression achieved in refractory status epilepticus (RSE) patients treated with pharmacologically-induced coma (PIC).

methodsWe analyzed EEG recordings from 35 RSE patients between 21-84 years-old who received PIC that target burst suppression and quantified the amount of EEG suppression using the burst suppression probability (BSP). Then we measured the variability of BSPs with respect to a reference level of BSP 0.8 ± 0.15. Finally, we also measured the variability of BSPs with respect to the amount of intravenous anesthetic drugs (IVADs) received by the patients.

resultsPatients remained in the reference BSP range for only 8% (median, interquartile range IQR [0, 29] %) of the total time under treatment. The median time with BSP below the reference range was 84% (IQR [37, 100] %). BSPs in some patients drifted significantly over time despite constant infusion rates of IVADs. Similar weight-normalized infusion rates of IVADs in different patients nearly always resulted in distinct BSPs (probability 0.93 (IQR [0.82, 1.0]).

conclusionThis study quantitatively identified high variability in the amount of EEG suppression achieved in clinical practice when treating RSE patients. While some of this variability may arise from clinicians purposefully deviating from clinical practice guidelines, our results show that the high variability also arises in part from significant inter- and intra- individual pharmacokinetic/pharmacodynamic variation. Our results indicate that the delicate balance between maintaining sufficient EEG suppression in RSE patients and minimizing IVAD exposure in clinical practice is challenging to achieve. This may affect patient outcomes and confound studies seeking to determine an optimal amount of EEG suppression for treatment of RSE. Therefore, our analysis points to the need for developing an alternative paradigm, such as vigilant anesthetic management as happens in operating rooms, or closed-loop anesthesia delivery, for investigating and providing induced-coma therapy to RSE patients.

Indexed as

Anesthesia, IntravenousComaElectroencephalographyStatus EpilepticusAdultAgedAged, 80 and overAnesthetics, IntravenousFemaleHumansMaleMiddle AgedRetrospective StudiesAnesthetics, Intravenous

Identifiers

PMID30379935
PMCPMC6209214
OpenAlexW2899215918

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.