Evidence map›Paper›PMID 39776347›Full record

ArticleNeurocritical care2025

Impact of Country Income Level on Outcomes in Patients with Acute Brain Injury Requiring Invasive Mechanical Ventilation: A Secondary Analysis of the ENIO Study.

Shi Nan Feng, Camilo Diaz-Cruz, Raphael Cinotti, Karim Asehnoune, Marcus J Schultz, Gentle S Shrestha, Paula R Sanches, Chiara Robba, Sung-Min Cho, ENIO collaborators

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Article in Neurocritical care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Pediatric vs. adult extradural hematoma outcomes in LMICs: mortality, surgical timing, and age-specific hematoma volume cutoffs.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Shi Nan FengDivision of Neuroscience Critical Care, Departments of Neurology, Neurosurgery, and Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Camilo Diaz-CruzDepartment of Neurology, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
Raphael CinottiDepartment of Anesthesia and Critical Care, Centre Hospitalier Universitaire Nantes, Nantes Université, Hôtel Dieu, Nantes, France.
Karim AsehnouneDepartment of Anesthesia and Critical Care, Centre Hospitalier Universitaire Nantes, Nantes Université, Hôtel Dieu, Nantes, France.
Marcus J SchultzDepartment of Clinical Medicine, University of Oxford Nufeld, Oxford, UK.
Gentle S ShresthaDepartment of Critical Care Medicine, Tribhuvan University Teaching Hospital, Maharajgunj, Kathmandu, Nepal.
Paula R SanchesDepartment of Critical Care Medicine, Hospital Israelita Albert Einstein, São Paulo, Brazil.
Chiara RobbaIstituto di Ricovero e Cura a Carattere Scientifico Ospedale Policlinico San Martino, Genoa, Italy.
Sung-Min ChoDivision of Neuroscience Critical Care, Departments of Neurology, Neurosurgery, and Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. csungmi1@jhmi.edu.ORCID http://orcid.org/0000-0002-5132-0958
ENIO collaborators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInvasive mechanical ventilation can present complex challenges for patients with acute brain injury (ABI) in middle-income countries (MICs). We characterized the impact of country income level on weaning strategies and outcomes in patients with ABI.

methodsA secondary analysis was performed on a registry of critically ill patients with ABI admitted to 73 intensive care units (ICUs) in 18 countries from 2018 to 2020. Patients were classified as high-income country (HIC) or MIC. The primary outcome was ICU mortality. Secondary outcomes were days to first extubation, tracheostomy, extubation failure, ICU length of stay, and hospital mortality. Multivariable analyses were adjusted for clinically preselected covariates such as age, sex, body mass index, neurological severity, comorbidities, and ICU management. Extubation and tracheostomy outcomes were also adjusted for arterial blood gas values and ventilatory settings.

resultsOf 1512 patients (median age = 54 years, 66% male), 1170 (77%) were from HICs, and 342 (23%) were from MICs. Median age was significantly lower in MICs [35 (range 26-52) vs. 58 (range 45-68) years in HICs]. Neurosurgical procedures (47.7% vs. 38.2%) and decompressive craniectomy (30.7% vs. 15.9%) were more common in MICs, whereas intracranial pressure monitoring (12.0% vs. 51.5%) and external ventricular drain (7.6% vs. 35.6%) were less common. Compared with HICs, patients from MICs had 2.27 times the odds of ICU mortality [p = 0.009, 95% confidence interval (CI) 1.22-4.21]. Frequency of extubation failure was lower in MICs but not significant after adjustment. Patients from MICs had 3.38 times the odds of tracheostomy (p ≤ 0.001, 95% CI 2.28-5.01), 5.59 days shorter mean ICU stay (p < 0.001, 95% CI - 7.82 to - 3.36), and 1.96 times the odds of hospital mortality (p = 0.011, 95% CI 1.17-3.30).

conclusionsIn an international registry of patients with ABI requiring invasive mechanical ventilation, MICs had higher odds of ICU mortality, tracheostomy placement, and hospital mortality compared with HICs, which may be due to difference in neurocritical care resources and management.

Indexed as

Brain InjuriesDeveloped CountriesIncomeRegistriesRespiration, ArtificialVentilator WeaningAdultAgedAirway ExtubationFemaleHospital MortalityHumansIntensive Care UnitsLength of StayMaleMiddle AgedAcute brain injuryCountry income levelExtubation failureIntensive care unitInvasive mechanical ventilationMortalityNeurocritical careTracheostomy

Identifiers

What OpenQuestion holds

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Read underepoch 390

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.