Evidence map›Paper›PMID 27839517›Full record

Observational studyCritical care (London, England)2016

The impact of extracerebral organ failure on outcome of patients after cardiac arrest: an observational study from the ICON database.

Leda Nobile, Fabio S Taccone, Tamas Szakmany, Yasser Sakr, Stephan M Jakob, Tommaso Pellis, Massimo Antonelli, Marc Leone, Xavier Wittebole, Peter Pickkers and 2 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Critical care (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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.

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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.

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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

12 authors at 5 institutions in 7 countries.

Leda NobileDepartment of Intensive Care, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium.
Fabio S TacconeDepartment of Intensive Care, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium.
Tamas SzakmanyDepartment of Critical Care, Royal Gwent Hospital, Newport, Wales, UK.
Yasser SakrDepartment of Anesthesiology and Intensive Care, Uniklinikum Jena, Jena, Germany.
Stephan M JakobDepartment of Intensive Care Medicine, University Hospital Bern, University of Bern, Bern, Switzerland.
Tommaso PellisAnesthesia and Intensive Care, Santa Maria degli Angeli Hospital, Pordenone, Italy.
Massimo AntonelliDepartment of Intensive Care and Anesthesiology, Università Cattolica del Sacro Cuore, Rome, Italy.
Marc LeoneDepartment of Anesthesia and Intensive Care, Hôpital Nord, AP-HM Aix Marseille Université, Marseille, France.
Xavier WitteboleCritical Care Department, Cliniques Universitaires St Luc, UCL, Brussels, Belgium.
Peter PickkersDepartment of Intensive Care, Nijmegen Institute for Infection, Inflammation and Immunity, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands.
Jean-Louis VincentDepartment of Intensive Care, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium. jlvincent@intensive.org.
ICON Investigators
Université Libre de Bruxelles · BECliniques Universitaires Saint-Luc · BEUniversità Cattolica del Sacro Cuore · ITUniversity of Bern · CHRoyal Gwent Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe used data from a large international database to assess the incidence and impact of extracerebral organ dysfunction on prognosis of patients admitted after cardiac arrest (CA).

methodsThis was a sub-analysis of the Intensive Care Over Nations (ICON) database, which contains data from all adult patients admitted to one of 730 participating intensive care units (ICUs) in 84 countries from 8-18 May 2012, except admissions for routine postoperative surveillance. For this analysis, patients admitted after CA (defined as those with "post-anoxic coma" or "cardiac arrest" as the reason for ICU admission) were included. Data were collected daily in the ICU for a maximum of 28 days; patients were followed up for outcome data until death, hospital discharge, or a maximum of 60 days in-hospital. Favorable neurological outcome was defined as alive at hospital discharge with a last available neurological Sequential Organ Failure Assessment (SOFA) subscore of 0-2.

resultsAmong the 469 patients admitted after CA, 250 (53 %) had had out-of-hospital CA; 210 (45 %) patients died in the ICU and 357 (76 %) had an unfavorable neurological outcome. Non-survivors had a higher incidence of renal (43 vs. 16 %), cardiovascular (56 vs. 45 %), and respiratory (62 vs. 48 %) failure on admission and during the ICU stay than survivors (all p < 0.05). Similar results were found for patients with unfavorable vs. favorable neurological outcomes. In multivariable analysis, independent predictors of ICU mortality were renal failure on admission, high admission Simplified Acute Physiology Score (SAPS) II, high maximum serum lactate levels within the first 24 h after ICU admission, and development of sepsis. Independent predictors of unfavorable neurological outcome were mechanical ventilation on admission, high admission SAPS II score, and neurological dysfunction on admission.

conclusionsIn this multicenter cohort, extracerebral organ dysfunction was common in CA patients. Renal failure on admission was the only extracerebral organ dysfunction independently associated with higher ICU mortality.

Indexed as

AgedCohort StudiesCritical CareDatabases, FactualFemaleHeart ArrestHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedMultiple Organ FailureProspective Studies

Identifiers

PMID27839517
PMCPMC5108077
OpenAlexW2554414440

What OpenQuestion holds

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LicenceCC BY
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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.