Evidence map›Paper›PMID 25818272›Full record

Trial reportBMJ open2015

Assessment of PaO₂/FiO₂ for stratification of patients with moderate and severe acute respiratory distress syndrome.

Jesús Villar, Jesús Blanco, Rafael del Campo, David Andaluz-Ojeda, Francisco J Díaz-Domínguez, Arturo Muriel, Virgilio Córcoles, Fernando Suárez-Sipmann, Concepción Tarancón, Elena González-Higueras and 6 more

3 registry-linked trialsOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 68 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 3 pooled it
7.7field-weighted citation impact, top 2% 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.

NCT00435110 completednot on this map

Effects of PEEP and FiO2 in the Evaluation of Severity of ALI and ARDS

TypeobservationalSponsorInstituto Canario de Investigacion BiomedicaRan2004 to 2005Enrolled178ConditionsAcute Respiratory Distress Syndrome, Acute Lung Injury, Acute Respiratory FailureArmsstandard ventilatory settings, PEEP and FiO2
NCT00736892 completednot on this map

Acute Lung Injury: Epidemiology and Natural History. The ALIEN Study

TypeobservationalSponsorVillar, Jesus, M.D.Ran2008 to 2010Enrolled300ConditionsAcute Lung Injury
NCT03930160 completednot on this mapstarted 2018, after this paper: background citation

Logistic Organ Dysfunction System Role in Predicting 30-day Mortality Outcome in Intensive Care Unit of dr. Cipto Mangunkusumo General Hospital Patients

TypeobservationalSponsorIndonesia UniversityRan2018 to 2018Enrolled439ConditionsMortalityArmsLogistic Organ Dysfunction System Score
3 · Its place in the literature

Who cites it

68 citing papers in PubMed, 3 syntheses or guidelines pooled it, 146 citations in OpenAlex.

  1. Lung Ultrasound Score in COVID-19 Patients Correlates with POThe western journal of emergency medicine · 2024
    Pooled it
  2. Pooled it
  3. High-flow nasal cannulaTherapeutic advances in respiratory disease
    Pooled it
  4. Validation of age, PaORespiratory research · 2020
    Trial
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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  13. Article
  14. Comparative Predictive Accuracies of the Simplified Mortality Score for the Intensive Care Unit, Sepsis Severity Score, and Standard Severity Scores for 90-day Mortality in Sepsis Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  15. Article
  16. The Global Definition of Acute Respiratory Distress Syndrome: Ready for Prime Time?American journal of respiratory and critical care medicine · 2024
    Article
  17. Review
  18. Redefining ARDS: a paradigm shift.Critical care (London, England) · 2023
    Review
  19. Article
  20. Review

8 more citing papers are in PubMed but not listed here.

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

16 authors at 13 institutions in 3 countries.

Jesús VillarCIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain Multidisciplinary Organ Dysfunction Evaluation Research Network, Research Unit, Hospital Universitario Dr Negrín, Las Palmas, Spain.
Jesús BlancoCIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain Intensive Care Unit, Hospital Universitario Río Hortega, Valladolid, Spain.
Rafael del CampoIntensive Care Unit, Hospital General de Ciudad Real, Ciudad Real, Spain.
David Andaluz-OjedaIntensive Care Unit, Hospital Clínico Universitario de Valladolid, Valladolid, Spain.
Francisco J Díaz-DomínguezIntensive Care Unit, Hospital Universitario General de León, León, Spain.
Arturo MurielIntensive Care Unit, Hospital Universitario Río Hortega, Valladolid, Spain.
Virgilio CórcolesIntensive Care Unit, Complejo Hospitalario Universitario de Albacete, Albacete, Spain.
Fernando Suárez-SipmannCIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain Department of Surgical Sciences, Anesthesiology & Critical Care, Hedenstierna Laboratory, Uppsala University Hospital, Uppsala, Sweden.
Concepción TarancónIntensive Care Unit, Hospital Virgen de la Concha, Zamora, Spain.
Elena González-HiguerasIntensive Care Unit, Hospital Virgen de la Luz, Cuenca, Spain.
Julia LópezIntensive Care Unit, Hospital Universitario La Paz, Madrid, Spain.
Lluis BlanchCIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain Critical Care Center, Corporació Sanitaria Parc Taulí, Sabadell, Spain.
Lina Pérez-MéndezCIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain Research Unit, Hospital Universitario NS de Candelaria, Tenerife, Spain.
Rosa Lidia FernándezCIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain Multidisciplinary Organ Dysfunction Evaluation Research Network, Research Unit, Hospital Universitario Dr Negrín, Las Palmas, Spain.
Robert M KacmarekDepartment of Respiratory Care, Massachusetts General Hospital, Boston, Massachusetts, USA Department of Anesthesiology, Harvard University, Boston, Massachusetts, USA.
Spanish Initiative for Epidemiology, Stratification & Therapies for ARDS (SIESTA) Network
Hospital Universitario de Gran Canaria Doctor Negrín · ESHospital Universitario Río Hortega · ESComplejo Hospitalario Universitario de Albacete · ESCorporació Sanitària Parc Taulí · ESHarvard University · USHospital Clínico Universitario de Valladolid · ESHospital de León · ESHospital General Universitario de Ciudad Real · ESHospital Universitario La Paz · ESHospital Universitario Nuestra Señora de Candelaria · ESHospital Virgen de la Concha · ESHospital Virgen de la Luz · ESInstituto de Salud Carlos III · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesA recent update of the definition of acute respiratory distress syndrome (ARDS) proposed an empirical classification based on ratio of arterial partial pressure of oxygen to fraction of inspired oxygen (PaO₂/FiO₂) at ARDS onset. Since the proposal did not mandate PaO₂/FiO₂ calculation under standardised ventilator settings (SVS), we hypothesised that a stratification based on baseline PaO₂/FiOv would not provide accurate assessment of lung injury severity.

designA prospective, multicentre, observational study.

settingA network of teaching hospitals.

participants478 patients with eligible criteria for moderate (100<PaO₂/FiO₂≤200) and severe (PaO₂/FiO₂≤100) ARDS and followed until hospital discharge.

interventionsWe examined physiological and ventilator parameters in association with the PaO₂/FiO₂ at ARDS onset, after 24 h of usual care and at 24 h under a SVS. At 24 h, patients were reclassified as severe, moderate, mild (200<PaO₂/FiO₂≤300) ARDS and non-ARDS (PaO₂/FiO₂>300). PRIMARY AND SECONDARY OUTCOMES: Group severity and hospital mortality.

resultsAt ARDS onset, 173 patients had a PaO₂/FiO₂≤100 but only 38.7% met criteria for severe ARDS at 24 h under SVS. When assessed under SVS, 61.3% of patients with severe ARDS were reclassified as moderate, mild and non-ARDS, while lung severity and hospital mortality changed markedly with every PaO₂/FiO₂ category (p<0.000001). Our model of risk stratification outperformed the stratification using baseline PaO₂/FiO₂ and non-standardised PaO₂/FiO₂ at 24 h, when analysed by the predictive receiver operating characteristic (ROC) curve: area under the ROC curve for stratification at baseline was 0.583 (95% CI 0.525 to 0.636), 0.605 (95% CI 0.552 to 0.658) at 24 h without SVS and 0.693 (95% CI 0.645 to 0.742) at 24 h under SVS (p<0.000001).

conclusionsOur findings support the need for patient assessment under SVS at 24 h after ARDS onset to assess disease severity, and have implications for the diagnosis and management of ARDS patients. TRIAL REGISTRATION NUMBERS: NCT00435110 and NCT00736892.

Indexed as

Hospital MortalitySeverity of Illness IndexAdultAgedArea Under CurveBlood Gas AnalysisFemaleHospitals, TeachingHumansInhalationLungMaleMiddle AgedMonitoring, PhysiologicOxygenPartial PressureOxygenRESPIRATORY MEDICINE (see Thoracic Medicine)

Identifiers

PMID25818272
PMCPMC4386240
OpenAlexW2167505713

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.