Evidence map›Paper›PMID 42183739›Full record

ArticleCritical care explorations2026

Performance of the Ventilatory Ratio to Predict Intubation in Patients With COVID-19 Acute Respiratory Distress Syndrome.

Antoine Goury, Zoubir Djerada, Guillaume Thery, Margaux Gares, Mathieu Jozwiak, Sebastian Voicu, Jeremy Rosman, Maxens Decavele, Jean Baptiste Oudart, Caroline Mora and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Critical care explorations, 2026. 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

12 authors.

Antoine GouryCHU Reims, Unité de Médecine Intensive et Réanimation Polyvalente, Reims, France.ORCID 0000-0001-7888-8570
Zoubir DjeradaUniversité de Reims Champagne-Ardenne, Unité HERVI "Hémostase et Remodelage Vasculaire Post-Ischémie"-EA 3801, Reims, France.
Guillaume TheryCHU Reims, Unité de Médecine Intensive et Réanimation Polyvalente, Reims, France.
Margaux GaresCHU Reims, Unité de Médecine Intensive et Réanimation Polyvalente, Reims, France.
Mathieu JozwiakService de Médecine Intensive Réanimation, Hôpital l'Archet 1, Centre Hospitalier Universitaire de Nice, Nice, France.
Sebastian VoicuRéanimation Médicale et Toxicologique, Hôpital Lariboisière, Assistance Publique Hôpitaux de Paris, Paris, France.
Jeremy RosmanUnité de Soins Intensifs et Réanimation, Centre Hospitalier Intercommunal Nord-Ardennes, Charleville-Mézières, France.
Maxens DecaveleGroupe Hospitalier Pitié-Salpêtrière Charles Foix, Service de Pneumologie, Médecine Intensive et Réanimation (Département R3S), Assistance Publique Hôpitaux de Paris, Paris, France.
Jean Baptiste OudartUniversité de Reims Champagne-Ardenne, MEDyC Unit, CNRS/URCA UMR 7369, Reims, France.
Caroline MoraCHU Reims, Imagerie médicale, Reims, France.
Claire CoutureauUniversité de Reims Champagne-Ardenne, VieFra, Reims, France.
Bruno MourvillierCHU Reims, Unité de Médecine Intensive et Réanimation Polyvalente, Reims, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesVentilatory ratio (VR) could be a useful marker of COVID-19 acute respiratory distress syndrome (ARDS) worsening, since its value has been shown to correlate with dead space and severity of non-COVID-19 ARDS. In this study, we sought to: 1) compare VR to the estimated intrapulmonary shunt and the Pao2/Fio2 ratio for the association with the risk of intubation and 2) define the best VR threshold to discriminate between intubated patients and nonintubated patients.

designMulticenter, prospective experimental study.

settingICUs from University and General Hospitals. PATIENTS: Patients with moderate-to-severe COVID-19 ARDS.

interventionsWe conducted standardized continuous positive airway pressure sessions with an Fio2 of 100% and positive end-expiratory pressure of 5 cm H2O to calculate the Pao2/Fio2 ratio, the estimated intrapulmonary shunt (indexed on cardiac output), and VR. These sessions were repeated until intubation or ICU discharge. A time-dependent joint multivariable model was performed. MEASUREMENTS AND MAIN

resultsFifty-two patients were included, 25 of whom required intubation (48%). Among studied variables including the Pao2/Fio2 ratio and the estimated intrapulmonary shunt, VR was most associated with the longitudinal risk of intubation with a hazard ratio (HR, 3.30; 97.5% CI, 1.42-8.91; p = 0.001) compare to the Pao2/Fio2 ratio with HR (0.98; 97.5% CI, 0.97-0.99; p = 0.002) and the estimated intrapulmonary shunt with HR (2.31; 97.5% CI, 0.37-24.01; p = 0.394). The best VR threshold values were identified at day 1 (VR = 2.1, sensitivity, 85.7%; specificity, 60.1%; area under the receiver operating characteristic curve [AUC] = 0.810), day 3 (VR = 2.3; sensitivity, 92.0%; specificity, 91.2%; AUC = 0.973), and day 5 (VR = 2; sensitivity, 92%; specificity, 97%; AUC = 0.979) to discriminate intubated and nonintubated patients.

conclusionsThe study provides valuable insights into COVID-19 ARDS, highlighting VR as a reliable and objective predictor of intubation. Increased VR could be a critical marker of lung injury progression in patients with ARDS.

Indexed as

Continuous Positive Airway PressureCOVID-19Intubation, IntratrachealRespiratory Distress SyndromeAgedFemaleHumansIntensive Care UnitsMaleMiddle AgedPredictive Value of TestsProspective StudiesSARS-CoV-2acute respiratory disease syndromeCOVID-19intrapulmonary shuntintubationprognosisventilatory ratio

Identifiers

PMID42183739
PMCPMC13201043

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.