Evidence map›Paper›PMID 34848525›Full record

Observational studyBMJ open2021

Cohort study of the characteristics and outcomes in patients with COVID-19 and in-hospital cardiac arrest.

Astrid Holm, Matilda Jerkeman, Pedram Sultanian, Peter Lundgren, Annica Ravn-Fischer, Johan Israelsson, Jasna Giesecke, Johan Herlitz, Araz Rawshani

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06001879 (Protocol Title), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.7field-weighted citation impact, top 9% 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.

NCT06001879 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Protocol Title : Development, Validation, and Evaluation of the Effectiveness of Simulation in Basic Life Support Training (SBLST) on Newly Employed Nurses in Governmental Jordanian Hospitals.

TypeinterventionalSponsoryousef Shukry Mohammad Abu-WardehRan2022 to 2024Enrolled102ConditionsHealthy Nurses, Educational ActivitiesArmsSimulation in basic life support training (SBLST), standard treatment by using an AHA-BLS 2020 brochure
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Cause of Death Analysis in a 9½-Year-Old with COVID-19 and Dravet Syndrome.Pathophysiology : the official journal of the International Society for Pathophysiology · 2025
    Article
  3. Article
  4. Cardiovascular Complications in Patients Hospitalized for COVID-19: A Cohort Study in Havana, Cuba.Cardiovascular revascularization medicine : including molecular interventions · 2023
    Article
  5. Review
  6. Review
  7. 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

9 authors at 5 institutions in 3 countries.

Astrid HolmDepartment of Molecular and Clinical Medicine, University of Gothenburg, Goteborg, Sweden astrid.holm@gu.se.ORCID 0000-0003-4226-7494
Matilda JerkemanDepartment of Molecular and Clinical Medicine, University of Gothenburg, Goteborg, Sweden.
Pedram SultanianDepartment of Molecular and Clinical Medicine, University of Gothenburg, Goteborg, Sweden.ORCID 0000-0002-6941-6659
Peter LundgrenDepartment of Molecular and Clinical Medicine, University of Gothenburg, Goteborg, Sweden.
Annica Ravn-FischerDepartment of Molecular and Clinical Medicine, University of Gothenburg, Goteborg, Sweden.
Johan IsraelssonDepartment of Internal Medicine, Kalmar County Hospital, Kalmar, Sweden.
Jasna GieseckeClinicum-Centre for Clinical Skills, Interprofessional Education and Advanced Medical Simulation, Danderyd University Hospital, Stockholm, Sweden.
Johan HerlitzCentre for Prehospital Research, University of Borås, Borås, Sweden.
Araz RawshaniDepartment of Molecular and Clinical Medicine, University of Gothenburg, Goteborg, Sweden.ORCID 0000-0003-2066-3533
University of Gothenburg · SECentre for Sight · INDanderyds sjukhus · SELandstinget i Kalmar län · SELinnaeus University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe studied characteristics, survival, causes of cardiac arrest, conditions preceding cardiac arrest, predictors of survival and trends in the prevalence of COVID-19 among in-hospital cardiac arrest (IHCA) cases. DESIGN AND

settingRegistry-based observational study.

participantsWe studied all cases (≥18 years of age) of IHCA receiving cardiopulmonary resuscitation in the Swedish Registry for Cardiopulmonary Resuscitation during 15 March 2020 to 31 December 2020. A total of 1613 patients were included and divided into the following groups: ongoing infection (COVID-19 MAIN OUTCOMES AND MEASURES: We studied monthly trends in proportions of COVID-19 associated IHCAs, causes of IHCA in relation to COVID-19 status, clinical conditions preceding the cardiac arrest and predictors of survival.

resultsThe rate of COVID-19+ patients suffering an IHCA increased to 23% during the first pandemic wave (April), then abated to 3% in July, and then increased to 19% during the second wave (December). Among COVID-19+ cases, 43% had respiratory insufficiency or infection as the underlying cause of the cardiac arrest, compared with 18% among COVID-19- cases. The most common clinical sign preceding cardiac arrest was hypoxia (57%) among COVID-19+ cases. OR for 30-day survival for COVID-19+ cases was 0.50 (95% CI 0.33 to 0.76), compared with COVID-19- cases.

conclusionDuring pandemic peaks, up to one-fourth of all IHCAs are complicated by COVID-19, and these patients have halved chance of survival, with women displaying the worst outcomes.

Indexed as

Cardiopulmonary ResuscitationCOVID-19Heart ArrestCohort StudiesFemaleHospitalsHumansSARS-CoV-2adult cardiologycardiologycoronary heart diseaseCOVID-19

Identifiers

PMID34848525
PMCPMC8635887
OpenAlexW3216039993

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.