Evidence map›Paper›PMID 27467907›Full record

ArticleAmerican journal of respiratory and critical care medicine2017

Incidence, Predictors, and Outcomes of New-Onset Atrial Fibrillation in Critically Ill Patients with Sepsis. A Cohort Study.

Peter M C Klein Klouwenberg, Jos F Frencken, Sanne Kuipers, David S Y Ong, Linda M Peelen, Lonneke A van Vught, Marcus J Schultz, Tom van der Poll, Marc J Bonten, Olaf L Cremer and 1 more

Registry-linked trialOpen access · greenAbstract read
PubMed Publisher
In one paragraph

Article in American journal of respiratory and critical care medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03617965 (Mortality Due to Septic Shock Associated With Thrombocytopenia in the Intensive Care Unit), which is not on this map. Cited by 146 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed, 9 pooled it
11.0field-weighted citation impact, top 1% 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.

NCT03617965 unknown statusnot on this mapstarted 2018, after this paper: background citation

Mortality Due to Septic Shock Associated With Thrombocytopenia in the Intensive Care Unit

TypeobservationalSponsorUniversidad de GuanajuatoRan2018 to 2019Enrolled350ConditionsThrombocytopenia, Septic Shock, Sepsis BacterialArmsPlatelet count
3 · Its place in the literature

Who cites it

146 citing papers in PubMed, 9 syntheses or guidelines pooled it, 249 citations in OpenAlex.

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  16. A prospective, multi-site, observational study assessing the treatment thresholds of new onset atrial fibrillation in the critically ill.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026
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86 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Peter M C Klein Klouwenberg1 Department of Intensive Care Medicine.
Jos F Frencken1 Department of Intensive Care Medicine.
Sanne Kuipers1 Department of Intensive Care Medicine.
David S Y Ong1 Department of Intensive Care Medicine.
Linda M Peelen1 Department of Intensive Care Medicine.
Lonneke A van Vught4 Center for Experimental and Molecular Medicine, Division of Infectious Diseases, and.
Marcus J Schultz5 Department of Intensive Care, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.
Tom van der Poll4 Center for Experimental and Molecular Medicine, Division of Infectious Diseases, and.
Marc J Bonten2 Department of Medical Microbiology, and.
Olaf L Cremer1 Department of Intensive Care Medicine.
MARS Consortium *
University Medical Center Utrecht · NLCenter for Molecular Medicine and Immunology · USUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationalePatients admitted to intensive care units with sepsis are prone to developing cardiac dysrhythmias, most commonly atrial fibrillation.

objectivesTo determine the incidence, risk factors, and outcomes of atrial fibrillation in a cohort of critically ill patients with sepsis.

methodsWe assessed the association between atrial fibrillation and mortality using time-dependent competing risks survival analysis. Subsequently, for development of a risk score estimating the probability of a first occurrence of atrial fibrillation within the following 24 hours, we performed logistic regression analysis. MEASUREMENTS AND MAIN

resultsAmong 1,782 patients with sepsis admitted to two tertiary intensive care units in the Netherlands between January 2011 and June 2013, a total of 1,087 episodes of atrial fibrillation occurred in 418 (23%) individuals. The cumulative risk of new-onset atrial fibrillation was 10% (95% confidence interval [CI], 8-12), 22% (95% CI, 18-25), and 40% (95% CI, 36-44) in patients with sepsis, severe sepsis, and septic shock, respectively. New-onset atrial fibrillation was associated with a longer stay (hazard ratio [HR], 0.55; 95% CI, 0.48-0.64), an increased death rate (HR, 1.52; 95% CI, 1.16-2.00), and an overall increased mortality risk (subdistribution HR, 2.10; 95% CI, 1.61-2.73) when considering discharge as a competing event. A simple risk score for daily prediction of atrial fibrillation occurrence yielded good discrimination (C statistic, 0.81; 95% CI, 0.79-0.84) and calibration (chi-square, 9.38; P = 0.31), with similar performance in an independent validation cohort (C statistic, 0.80; 95% CI, 0.76-0.85).

conclusionsAtrial fibrillation is a common complication of sepsis and independently associated with excess mortality. A simple risk score may identify patients at high risk of this complication. Clinical trial registered with www.clinicaltrials.gov (NCT 01905033).

Indexed as

AgedAtrial FibrillationCohort StudiesCritical IllnessFemaleHumansIncidenceIntensive Care UnitsLength of StayMaleMiddle AgedRisk FactorsSepsisatrial fibrillationepidemiologyintensive care unitmortalityrisk factors

Identifiers

PMID27467907
OpenAlexW2483905789

What OpenQuestion holds

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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.