Evidence map›Paper›PMID 36583809›Full record

ArticleAnnals of intensive care2022

Cerebrovascular complications and outcomes of critically ill adult patients with infective endocarditis.

Thomas Rambaud, Etienne de Montmollin, Pierre Jaquet, Augustin Gaudemer, Eric Mariotte, Sonia Abid, Marylou Para, Claire Cimadevilla, Bernard Iung, Xavier Duval and 4 more

Open access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2022. 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
2.6field-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.

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, 18 citations in OpenAlex.

  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

14 authors at 3 institutions in 2 countries.

Thomas RambaudUniversité Paris-Cité, INSERM UMR1148, Team 6, 75018, Paris, France. rambaud.t@gmail.com.ORCID http://orcid.org/0000-0003-1677-0838
Etienne de MontmollinDepartment of Intensive Care Medicine, AP-HP. Nord, Hôpital Bichat - Claude Bernard, Paris, France.
Pierre JaquetDepartment of Intensive Care Medicine, AP-HP. Nord, Hôpital Bichat - Claude Bernard, Paris, France.
Augustin GaudemerDepartment of Radiology, AP-HP, Hôpital Bichat-Claude Bernard, 75018, Paris, France.
Eric MariotteDepartment of Intensive Care Medicine, AP-HP, Hôpital Saint-Louis, 75010, Paris, France.
Sonia AbidDepartment of Intensive Care Medicine, AP-HP. Nord, Hôpital Bichat - Claude Bernard, Paris, France.
Marylou ParaDepartment of Cardiac Surgery, AP-HP, Hôpital Bichat - Claude Bernard, 75018, Paris, France.
Claire CimadevillaDepartment of Cardiac Surgery, AP-HP, Hôpital Bichat - Claude Bernard, 75018, Paris, France.
Bernard IungDepartment of Cardiology, AP-HP, Hôpital Bichat - Claude Bernard, 75018, Paris, France.
Xavier DuvalDepartment of Infectious Diseases, AP-HP, Hôpital Bichat-Claude Bernard, 75018, Paris, France.
Michel WolffGHU Paris Psychiatrie & Neurosciences, Paris, France.
Lila BouadmaDepartment of Intensive Care Medicine, AP-HP. Nord, Hôpital Bichat - Claude Bernard, Paris, France.
Jean-François TimsitDepartment of Intensive Care Medicine, AP-HP. Nord, Hôpital Bichat - Claude Bernard, Paris, France.
Romain SonnevilleDepartment of Intensive Care Medicine, AP-HP. Nord, Hôpital Bichat - Claude Bernard, Paris, France.
Université Claude Bernard Lyon 1 · FRAssistance Publique – Hôpitaux de Paris · FRFHU Neurovasc · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeurological complications are associated with poor outcome in patients with infective endocarditis (IE). Although guidelines recommend systematic brain imaging in the evaluation of IE patients, the association between early brain imaging findings and outcomes has never been evaluated in critically ill patients. We aimed to assess the association of CT-defined neurological complications with functional outcomes of critically ill IE patients.

methodsThis retrospective cohort study included consecutive patients with severe, left-sided IE hospitalized in the medical ICU of a tertiary care hospital. Patients with no baseline brain CT were excluded. Baseline CT-scans were classified in five mutually exclusive categories (normal, moderate-to-severe ischemic stroke, minor ischemic stroke, intracranial hemorrhage, other abnormal CT). The primary endpoint was 1-year favorable outcome, defined by a modified Rankin Scale score of 0-3.

resultsBetween 06/01/2011 and 07/31/2018, 156 patients were included. Among them, 87/156 (56%) had a CT-defined neurological complication, including moderate-to-severe ischemic stroke (n = 33/156, 21%), intracranial hemorrhage (n = 24/156, 15%), minor ischemic stroke (n = 29/156, 19%), other (n = 3/156, 2%). At one year, 69 (45%) patients had a favorable outcome. Factors negatively associated with favorable outcome in multivariable analysis were moderate-to-severe ischemic stroke (OR 0.37, 95%CI 0.14 - 0.95) and age (OR 0.94, 95%CI 0.91-0.97). By contrast, the score on the Glasgow Coma Scale was positively associated with favorable outcome (per 1-point increment, OR 1.23, 95%CI 1.08-1.42). Sensitivity analyses conducted in operated patients revealed similar findings. Compared to normal CT, only moderate-to-severe ischemic stroke was associated with more frequent post-operative neurological complications (n = 8/23 (35%) vs n = 1/46 (2%), p < 0.01).

conclusionModerate-to-severe ischemic stroke had an independent negative impact on 1-year functional outcome in critically ill IE patients; whereas other complications, including intracranial hemorrhage, had no such impact.

Indexed as

EndocarditisNeuro-critical careStrokeThoracic surgery

Identifiers

PMID36583809
PMCPMC9803797
OpenAlexW4313317071

What OpenQuestion holds

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Registered trials

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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.