Evidence map›Paper›PMID 39730782›Full record

ArticleIntensive care medicine experimental2024

A hands-free carotid Doppler can identify spontaneous circulation without interrupting cardiopulmonary resuscitation: an animal study.

Bjørn Ove Faldaas, Benjamin Stage Storm, Knut Tore Lappegård, Ole-Jakob How, Bent Aksel Nilsen, Gabriel Kiss, Eirik Skogvoll, Erik Waage Nielsen, Hans Torp, Charlotte Björk Ingul

Registry-linked trialAbstract read
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In one paragraph

Article in Intensive care medicine experimental, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07729228 (Pulse Detection in Cardiac Arrest Patients Using a Doppler Ultrasound Patch on the Carotid Artery), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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.

NCT07729228 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Pulse Detection in Cardiac Arrest Patients Using a Doppler Ultrasound Patch on the Carotid Artery

TypeobservationalSponsorHeartstream US LLCRan2026 to 2027Enrolled20ConditionsCardiac Arrest (CA), Return of Spontaneous Circulation, CPR Quality AssessmentArmsUltrasound doppler perfusion monitoring
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Bjørn Ove FaldaasFaculty of Nursing and Health Sciences, Nord University, Bodø, Norway.ORCID https://orcid.org/0000-0003-2582-6696
Benjamin Stage StormFaculty of Nursing and Health Sciences, Nord University, Bodø, Norway.
Knut Tore LappegårdDepartment of Clinical Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway.
Ole-Jakob HowFaculty of Biosciences and Aquaculture, Nord University, Bodø, Norway.
Bent Aksel NilsenFaculty of Nursing and Health Sciences, Nord University, Bodø, Norway.
Gabriel KissDepartment of Computer Science (IDI), Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Eirik SkogvollDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Erik Waage NielsenFaculty of Nursing and Health Sciences, Nord University, Bodø, Norway.
Hans TorpDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Charlotte Björk IngulFaculty of Nursing and Health Sciences, Nord University, Bodø, Norway. charlotte.b.ingul@ntnu.no.ORCID http://orcid.org/0000-0002-3251-9494

Funding

Nord universitet 03210275Norges Teknisk-Naturvitenskapelige Universitet 70443945Regionale Forskningsfond 324319
6 · The paper itself

Abstract

backgroundIdentifying spontaneous circulation during cardiopulmonary resuscitation (CPR) is challenging. Current methods, which involve intermittent and time-consuming pulse checks, necessitate pauses in chest compressions. This issue is problematic in both in-hospital cardiac arrest and out-of-hospital cardiac arrest situations, where resources for identifying circulation during CPR may be limited. The fraction of chest compression plays a pivotal role in improving survival rates. To address this challenge, we evaluated a newly developed hands-free, continuous carotid Doppler system (RescueDoppler), designed to identify spontaneous circulation during chest compressions. In our study, we utilized a porcine model of cardiac arrest to investigate sequences of ventricular fibrillation, followed by defibrillation, and monitoring for the return of spontaneous circulation during chest compressions with the carotid Doppler system. We explored both manual compressions at 100 and 50 compressions per minute and mechanical compressions. To estimate the detection rate (i.e., sensitivity), we employed a logistic mixed model with animal identity as random effect.

resultsOffline analysis of Doppler color M-mode and spectral display successfully identified spontaneous circulation during chest compressions in all compression models. Spontaneous circulation was detected in 51 of 59 sequences, yielding an expected sensitivity of 98% with a 95% confidence interval of 59% to 99%.

conclusionThe RescueDoppler, a continuous hands-free carotid Doppler system, demonstrates an expected sensitivity of 98% for identifying spontaneous circulation during both manual and mechanical chest compressions. Clinical studies are needed to further validate these findings.

Indexed as

Cardiac arrestCardiac arrest monitorCardiopulmonary resuscitationCarotid artery blood flowChest compressionDopplerFeedback deviceReturn of spontaneous circulationUltrasound

Identifiers

PMID39730782
PMCPMC11680543

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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.