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Record W4415974147 · doi:10.2196/66961

Utilization and Feasibility of a Wearable Device in Patients With Sedative Effects of Drugs: Protocol for a Prospective Observational Study for the Advanced Respiratory Monitoring Events in Drug Toxicity (ARM-ED) Study

2025· article· en· W4415974147 on OpenAlexvenueno aff
L Dunlop, Bruce M. Henderson, Osian Meredith, Chris Trueman, C Carlin, Robert Docking, David J. Lowe

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldEngineering
TopicNon-Invasive Vital Sign Monitoring
Canadian institutionsnot available
Fundersnot available
KeywordsObservational studyProtocol (science)Wearable computerDrugSedativeDrug administrationRespiratory system

Abstract

fetched live from OpenAlex

Background: Drug-related deaths worldwide are most commonly attributed to opioids. Opioids and other sedative drugs can cause respiratory depression and airway compromise, leading to hypoxia and death. Device technology and artificial intelligence used to detect drug overdose has the potential to improve outcomes. PneumoWave Ltd has developed a small chest-worn respiratory monitoring device to detect concerning breathing patterns and alert an emergency response. Objective: The aim of this study is to investigate the feasibility of using the PneumoWave device in hospital patients at risk of respiratory depression. Methods: This 18-month prospective observational study was performed at the Queen Elizabeth University Hospital, Glasgow. The study investigates the use of the device on 3 groups of patients at risk of respiratory depression due to drugs. This includes patients attending the emergency department (ED) due to sedative drug overdose, patients receiving procedural sedation and analgesia in the ED, and patients receiving general anesthesia in theaters. Consenting participants will have the PneumoWave sensor paired with end-tidal CO2 monitoring and regular recordings of vital signs. Usability will be tested by administering a questionnaire to the patient, the clinician, and the nurse. The primary end point is to determine the feasibility of gathering respiratory data from a wearable respiratory monitoring device in the ED. Statistical analysis includes comparison of biosensor data against reference physiology time course data. Results: Trial recruitment was completed on December 8, 2023. Twenty-five patients were enrolled in group 1 (acute toxicity); 39 patients in group 2 (procedural sedation), including 1 patient who was subsequently withdrawn; and 14 patients in group 3 (acute toxicity), with 2 patients withdrawn. Publication of the study results is anticipated by December 2025. Conclusions: This study will explore the feasibility of the PneumoWave device in a variety of clinical contexts in which risk of pharmacologically induced respiratory depression is present. This will provide valuable insight into the use of device technology in individuals at risk of illicit drug-related harm within the relative safety of a hospital setting. A limitation of the study procedure is exclusion of patients with intoxication after sedative drug overdose who lack the capacity to provide informed consent. This study has been designed to acquire feasibility data to demonstrate the potential for continuous respiratory monitoring to improve outcomes for patients who are at risk of drug-induced respiratory depression, inform product development, and inform the design of future pivotal clinical investigations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.065
Threshold uncertainty score0.629

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.227
GPT teacher head0.515
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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