Evidence map›Paper›PMID 32860500›Full record

ArticleSleep2021

Dexmedetomidine-induced deep sedation mimics non-rapid eye movement stage 3 sleep: large-scale validation using machine learning.

Sowmya M Ramaswamy, Maud A S Weerink, Michel M R F Struys, Sunil B Nagaraj

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Sleep, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03143972 (Pharmacodynamic Interactions Between Remifentanil and Dexmedetomidine), which is not on this map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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.

NCT03143972 phase4completednot on this map

Pharmacodynamic Interactions Between Remifentanil and Dexmedetomidine (PIRAD)

TypeinterventionalSponsorUniversity Medical Center GroningenRan2017 to 2018Enrolled30ConditionsAnesthesiaArmsDexmedetomidine, Remifentanil
3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  9. Article
  10. Article
  11. Review
  12. Mechanism, Dose, and Administration of Dexmedetomidine in Managing Visceral Pain Associated With Surgery: A Narrative Review.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Molecular and Clinical Considerations for Anesthesia in the Aging Brain.International journal of molecular sciences · 2025
    Review
  18. The locus coeruleus maintains core body temperature and protects against hypothermia during dexmedetomidine-induced sedation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Why does dexmedetomidine cause bradycardia?BMC cardiovascular disorders · 2025
    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

4 authors at 1 institution in 2 countries.

Sowmya M RamaswamyUniversity of Groningen, University Medical Center Groningen, Department of Anesthesiology, Groningen, The Netherlands.
Maud A S WeerinkUniversity of Groningen, University Medical Center Groningen, Department of Anesthesiology, Groningen, The Netherlands.
Michel M R F StruysUniversity of Groningen, University Medical Center Groningen, Department of Anesthesiology, Groningen, The Netherlands.
Sunil B NagarajUniversity of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy & Pharmacology, Groningen, The Netherlands.
University Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesDexmedetomidine-induced electroencephalogram (EEG) patterns during deep sedation are comparable with natural sleep patterns. Using large-scale EEG recordings and machine learning techniques, we investigated whether dexmedetomidine-induced deep sedation indeed mimics natural sleep patterns.

methodsWe used EEG recordings from three sources in this study: 8,707 overnight sleep EEG and 30 dexmedetomidine clinical trial EEG. Dexmedetomidine-induced sedation levels were assessed using the Modified Observer's Assessment of Alertness/Sedation (MOAA/S) score. We extracted 22 spectral features from each EEG recording using a multitaper spectral estimation method. Elastic-net regularization method was used for feature selection. We compared the performance of several machine learning algorithms (logistic regression, support vector machine, and random forest), trained on individual sleep stages, to predict different levels of the MOAA/S sedation state.

resultsThe random forest algorithm trained on non-rapid eye movement stage 3 (N3) predicted dexmedetomidine-induced deep sedation (MOAA/S = 0) with area under the receiver operator characteristics curve >0.8 outperforming other machine learning models. Power in the delta band (0-4 Hz) was selected as an important feature for prediction in addition to power in theta (4-8 Hz) and beta (16-30 Hz) bands.

conclusionsUsing a large-scale EEG data-driven approach and machine learning framework, we show that dexmedetomidine-induced deep sedation state mimics N3 sleep EEG patterns. CLINICAL TRIALS: Name-Pharmacodynamic Interaction of REMI and DMED (PIRAD), URL-https://clinicaltrials.gov/ct2/show/NCT03143972, and registration-NCT03143972.

Indexed as

Deep SedationDexmedetomidineSleep, Slow-WaveElectroencephalographyHypnotics and SedativesMachine LearningDexmedetomidineHypnotics and Sedativesdexmedetomidineelectroencephalogrammachine learningsedation monitoringsleep

Identifiers

PMID32860500
PMCPMC7879420
OpenAlexW3082544832

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.