Evidence map›Paper›PMID 39692065›Full record

Observational studyActa anaesthesiologica Scandinavica2025

Re-arrest immediately after return of spontaneous circulation: A retrospective observational study of in-hospital cardiac arrest.

Eirik Unneland, Anders Norvik, Daniel Bergum, David G Buckler, Abhishek Bhardwaj, Trygve Christian Eftestøl, Elisabete Aramendi, Trond Nordseth, Benjamin S Abella, Jan Terje Kvaløy and 1 more

Abstract readObservational Study
In one paragraph

Observational study in Acta anaesthesiologica Scandinavica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

11 authors.

Eirik UnnelandDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0001-7119-8905
Anders NorvikDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
Daniel BergumDepartment of Anesthesia and Intensive Care Medicine, St. Olav University Hospital, Trondheim, Norway.
David G BucklerDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Abhishek BhardwajDepartment of Medicine, University of California, Riverside, California, USA.
Trygve Christian EftestølDepartment of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway.
Elisabete AramendiEngineering School of Bilbao, BioRes Group, University of the Basque Country, Bilbao, Spain.
Trond NordsethDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0001-8207-078X
Benjamin S AbellaCenter for Resuscitation Science, Department of Emergency Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jan Terje KvaløyDepartment of Mathematics and Physics, University of Stavanger, Stavanger, Norway.
Eirik SkogvollDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.

Funding

Basque Government through grant IT1229-19Faculty of Medicine and Health Sciences, NTNUthe Fondo Europeo de Desarrollo Regional (FEDER)the Ministerio de Ciencia, Innovacion y Universidades through grant RTI2018-101475-B100The Research Council of Norway
6 · The paper itself

Abstract

backgroundPatients who achieve return of spontaneous circulation (ROSC) after in-hospital cardiac arrest (IHCA) may re-arrest. This phenomenon has not been sufficiently investigated. The aim of this study was to examine the immediate (1-min) and short-term (20-min) risks of re-arrest in IHCA.

methodsWe retrospectively analyzed four datasets of IHCA episodes, comprising defibrillator recordings collected between 2002 and 2022. Re-arrest was defined as the resumption of chest compressions following a period of ROSC after cardiac arrest of any duration. Parametric models were applied to calculate the immediate risk of re-arrest. In addition, we estimated the short-term risk of re-arrest within 20 min.

resultsIn 763 episodes of IHCA, we observed 316 re-arrests: 68% to pulseless electrical activity (PEA), 25% to ventricular fibrillation/ventricular tachycardia (VF/VT), and 7% to asystole. Most re-arrests occurred with the same rhythm as in the initial arrest. When ROSC was achieved from a non-shockable rhythm, the risk of re-arrest to a non-shockable rhythm was initially 2% per minute and decreased to 1% per minute after 9 min. The corresponding risk of re-arrest to VF/VT was constant at 2% per minute. If ROSC was obtained from a shockable rhythm, the risk of re-arrest to a shockable rhythm was initially 5% per minute, decreasing to 4% per minute after 9 min. The corresponding risk to a non-shockable rhythm was constant at 1% per minute. The risk of re-arrest within 20 min was 27%, and the overall risk of at least one re-arrest per episode was 33%.

conclusionsThe immediate risk of re-arrest was approximately 2% per minute, with the highest risk occurring as a reversion to VF/VT if ROSC was obtained from VF/VT. The risk of re-arrest within 20 min of the initial arrest was 27%, and the overall risk of at least one re-arrest per episode was 33%.

Indexed as

Heart ArrestReturn of Spontaneous CirculationAgedCardiopulmonary ResuscitationFemaleHumansMaleMiddle AgedRecurrenceRetrospective Studiescardiac arrestIHCAparametric modelsre‐arrestROSC

Identifiers

PMID39692065
PMCPMC11653231

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.