Evidence map›Paper›PMID 40136234›Full record

ArticleCritical care science2025

Prediction of PaO2 from SpO2 values in critically ill invasively ventilated patients: rationale and protocol for a patient-level analysis of ERICC, LUNG SAFE, PRoVENT and PRoVENT-iMiC (PRoPERLy II).

Simon Corrado Serafini, David M P van Meenen, Luigi Pisani, Ary Serpa Neto, Luciano César Pontes Azevedo, Tai Pham, Eya Sahraoui, Giacomo Bellani, John G Laffey, Marcus J Schultz and 1 more

Erratum issuedAbstract readCase Reports
In one paragraph

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

5 · Who and what money

Authors and funding

11 authors.

Simon Corrado SerafiniDepartment of Surgical Sciences and Integrated Diagnostics, University of Genoa - Genova, Italy.ORCID http://orcid.org/0009-0006-0733-1963
David M P van MeenenDepartment of Anesthesiology, Amsterdam UMC, location 'AMC' - Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-6574-9034
Luigi PisaniDepartment of Precision-Regenerative Medicine and Jonic Area, Section of Anesthesiology and Intensive Care Medicine, University of Bari "Aldo Moro" - Bari, Italy.ORCID http://orcid.org/0000-0001-7177-3594
Ary Serpa NetoAustralian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University - Melbourne, Australia.ORCID http://orcid.org/0000-0003-1520-9387
Luciano César Pontes AzevedoDepartment of Critical Care Medicine, Hospital Israelita Albert Einstein - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0001-6759-3910
Tai PhamService de Médecine Intensive-Réanimation, Université Paris-Saclay, AP-HP, Hôpital de Bicêtre, DMU CORREVE, FHU SEPSIS, Groupe de Recherche Clinique CARMAS - Le Kremlin - Bicêtre, France.ORCID http://orcid.org/0000-0002-4373-0711
Eya SahraouiEquipe d'Epidémiologie Respiratoire Intégrative, Centre de Recherche en Epidémiologie et Santé des Populations, Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm U1018 - Villejuif, France.ORCID http://orcid.org/0000-0001-5797-4963
Giacomo BellaniCentre for Medical Sciences, University of Trento - Trento, Italy.ORCID http://orcid.org/0000-0002-3089-205X
John G LaffeyDepartment of Anaesthesia and Intensive Care Medicine, School of Medicine, University of Galway - Galway, Ireland.ORCID http://orcid.org/0000-0002-1246-9573
Marcus J SchultzDepartment of Intensive Care, Amsterdam UMC, location 'AMC' - Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-3969-7792
Guido MazzinariDepartment of Anesthesiology, Hospital Universitario la Fe - Valencia, Spain.ORCID http://orcid.org/0000-0001-7377-331X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn patients with acute respiratory distress syndrome (ARDS), mortality risk is typically assessed using the arterial partial pressure of oxygen (PaO2) divided by the fraction of inspired oxygen (FiO2), known as the PaO2/FiO2 ratio. Recently, the SpO2/FiO2 ratio, which uses peripheral oxygen saturation (SpO2) instead of PaO2, has been suggested as a reasonable alternative when there is little access to arterial blood gas analyses. Additionally, equations that predict PaO2 from SpO2 values could offer another viable method for assessment.

aimTo evaluate the accuracy of methods for predicting PaO2 from SpO2 values and compare risk stratification based on measured versus predicted PaO2/FiO2 ratios using a large database that harmonizes the individual data of patients included in four observational studies. METHODS AND ANALYSIS: The individual data from four observational studies ('Epidemiology of Respiratory Insufficiency in Critical Care study' [ERICC], 'Large Observational Study to Understand the Global Impact of Severe Acute Respiratory Failure' [LUNG SAFE], 'PRactice of VENTilation in critically ill patients without ARDS' [PRoVENT], and 'PRactice of VENTilation in critically ill patients in Middle-income Countries' [PRoVENT-iMiC]) were harmonized and pooled into a database named 'PRoPERLy II'. The primary endpoint of this planned analysis will be the accuracy of currently available methods to predict PaO2 from SpO2 values. The secondary endpoint will be the accuracy of classification based on SpO2/FiO2 ratio and the predicted PaO2/FiO2 ratio. DISSEMINATION: Our planned analysis addresses a clinically important research question by comparing different equations for predicting PaO2 from SpO2 values.

Indexed as

OxygenOxygen SaturationRespiration, ArtificialRespiratory Distress SyndromeBlood Gas AnalysisCritical IllnessHumansObservational Studies as TopicPartial PressureOxygen

Identifiers

PMID40136234
PMCPMC12014083

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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.