Evidence map›Paper›PMID 39544265›Full record

ArticleThe Neurohospitalist2025

Neurological Complications and Outcomes in Critically Ill Patients With COVID-19: Results From International Neurological Study Group From the COVID-19 Critical Care Consortium.

Syed Ameen Ahmad, Yunis Mayasi, Thu-Lan Kelly, Nicole White, Jacky Suen, Denise Battaglini, Gianluigi Li Bassi, John F Fraser, Lavien Premraj, Rakesh C Arora and 7 more

Abstract read
In one paragraph

Article in The Neurohospitalist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Syed Ameen AhmadDepartment of Neurosciences Critical Care, Departments of Neurology, Neurosurgery, Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-6179-5252
Yunis MayasiDepartment of Neurosciences Critical Care, Departments of Neurology, Neurosurgery, Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Thu-Lan KellySchool of Public Health & Social Work, Queensland University of Technology, Brisbane, QLD, Australia.
Nicole WhiteSchool of Public Health & Social Work, Queensland University of Technology, Brisbane, QLD, Australia.
Jacky SuenCritical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia.
Denise BattagliniAnesthesia and Intensive Care, IRCCS Policlinico San Martino, Genoa, Italy.
Gianluigi Li BassiCritical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia.
John F FraserCritical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia.
Lavien PremrajCritical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia.
Rakesh C AroraHarrington Heart and Vascular Institute, University Hospitals, Cleveland, OH, USA.
Diego BastosHospital Sao Camilo de Esteio, Esteio, Brazil.
Glenn WhitmanDepartment of Neurosciences Critical Care, Departments of Neurology, Neurosurgery, Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Matthew GriffeeDepartment of Anesthesiology and Perioperative Medicine, University of Utah, Salt Lake City, UT, USA.
Jonathon P FanningCritical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia.
Chiara RobbaAnesthesia and Intensive Care, IRCCS Policlinico San Martino, Genoa, Italy.
Sung-Min ChoDepartment of Neurosciences Critical Care, Departments of Neurology, Neurosurgery, Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
COVID-19 Critical Care Consortium

Funding

Gates Foundation INV-034765
6 · The paper itself

Abstract

Background: In this COVID-19 Critical Care Consortium (CCCC) sub-study, we qualified neurological complications associated with SARS-CoV2 infection. Methods: The CCCC is an international, multicenter study. Eligible patients were COVID-19 patients admitted to intensive care units (ICU) across 23 centers between 1/7/2020 to 6/23/2022. Incidence of neurological complications was estimated as number of events per hospital days and per admission using Poisson regression. Associations between neurological complications and risk factors were assessed using multivariable Poisson regression. Results: 713 patients were included. Median age = 56 years (interquartile range (IQR) = 45-65). Neurological complications reported in 61/480 patients (12.7%) with the majority being ischemic stroke (2.9%), intracranial hemorrhage (ICH) (2.8%), and seizures (2.6%). Multivariable analysis for neurological complications per admitted days showed comorbid neurological conditions (incidence rate ratio (IRR) = 6.35, 2.57-15.7) were an independent risk factor for ischemic stroke. Extracorporeal membrane oxygenation (IRR = 5.32, 1.52-18.6), low-middle income countries (LMIC) vs high income countries (HIC) (IRR = 4.70, 1.62-13.7), and age >55 (IRR = 3.66, 1.23-10.9) were independent risk factors for ICH. Co-morbid neurological conditions (IRR = 3.43, 1.11-10.6), LMIC vs HIC (IRR = 8.69, 2.15-35.2), July-December 2020 vs January-June 2020 (IRR = 0.17, 0.04-0.69) and age >55 (IRR = 4.05, 1.15-14.3) were independent risk factors for seizure. Conclusions: Decision-making should incorporate salient risk factors to inform management of SARS-CoV2 infection and avoid neurological complications.

Indexed as

COVID-19disabilityincome countriesneurological complicationsneurological outcomestroke

Identifiers

PMID39544265
PMCPMC11559469

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.