Can Novel Oxygenation Indices Guide the Diagnosis of Acute Respiratory Distress Syndrome
New Criteria for Classifying Acute Respiratory Distress Syndrome Severity Using a Machine Learning Approach: Novel Oxygenation and Saturation Indices
1 other identifier
observational
2,000
1 country
1
Brief Summary
This study aims to determine the cut-off values of the new oxygenation indices and further investigate their capabilities in diagnosing ARDS and predicting its severity in ICU. Additionally, the investigators aim to compare these results with conventional oxygenation and saturation indices.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jun 2012
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 1, 2012
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2024
CompletedFirst Submitted
Initial submission to the registry
May 9, 2024
CompletedFirst Posted
Study publicly available on registry
May 28, 2024
CompletedMay 28, 2024
May 1, 2024
11.7 years
May 9, 2024
May 21, 2024
Conditions
Outcome Measures
Primary Outcomes (1)
Oxygenation indices
It was aimed to compare the oxygenation indexes of the patients. It will be examined which of these indices is more effective in diagnosing ARDS.
During 28 days in the intensive care unit
Secondary Outcomes (8)
Other parameters
During 28 days in the intensive care unit
acute physiology and chronic health evaluation-II
During 28 days in the intensive care unit
Charlson comorbidity index scores
During 28 days in the intensive care unit
Other parameters
During 28 days in the intensive care unit
arterial blood gas parameters
During 28 days in the intensive care unit
- +3 more secondary outcomes
Study Arms (1)
Patients diagnosed with Acute Respiratory Distress Syndrome (ARDS) according to Berlin criteria
The oxygenation indexes of the patients will be measured and the effectiveness of these indexes in diagnosing ARDS will be compared.
Eligibility Criteria
Patients admitted to the intensive care unit of Istanbul Bakırköy Dr. Sadi Konuk Training and Research Hospital with a preliminary diagnosis of ARDS/C-ARDS between June 01, 2012, and February 01, 2024
You may qualify if:
- Patients admitted to intensive care units diagnosed with ARDS / C-ARDS according to the Berlin criteria.
- Adult patients aged between 18 and 80 years
You may not qualify if:
- Patients under the age of 18
- Pregnant patients
- Patients without ARDS
- Patients with missing data
- Patients transferred to another hospital
- Patients discharged from the ICU within 72 hours
- Patients receiving extracorporeal membrane oxygenation (ECMO) support.
- Patients were on mechanical ventilation for less than 24 hours
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Basaksehir Cam Sakura City Hospital
Istanbul, Turkey (Türkiye)
Related Publications (10)
DesPrez K, McNeil JB, Wang C, Bastarache JA, Shaver CM, Ware LB. Oxygenation Saturation Index Predicts Clinical Outcomes in ARDS. Chest. 2017 Dec;152(6):1151-1158. doi: 10.1016/j.chest.2017.08.002. Epub 2017 Aug 16.
PMID: 28823812BACKGROUNDChen WL, Lin WT, Kung SC, Lai CC, Chao CM. The Value of Oxygenation Saturation Index in Predicting the Outcomes of Patients with Acute Respiratory Distress Syndrome. J Clin Med. 2018 Aug 8;7(8):205. doi: 10.3390/jcm7080205.
PMID: 30096809BACKGROUNDAmato MB, Meade MO, Slutsky AS, Brochard L, Costa EL, Schoenfeld DA, Stewart TE, Briel M, Talmor D, Mercat A, Richard JC, Carvalho CR, Brower RG. Driving pressure and survival in the acute respiratory distress syndrome. N Engl J Med. 2015 Feb 19;372(8):747-55. doi: 10.1056/NEJMsa1410639.
PMID: 25693014BACKGROUNDARDS Definition Task Force; Ranieri VM, Rubenfeld GD, Thompson BT, Ferguson ND, Caldwell E, Fan E, Camporota L, Slutsky AS. Acute respiratory distress syndrome: the Berlin Definition. JAMA. 2012 Jun 20;307(23):2526-33. doi: 10.1001/jama.2012.5669.
PMID: 22797452RESULTBellani G, Laffey JG, Pham T, Fan E, Brochard L, Esteban A, Gattinoni L, van Haren F, Larsson A, McAuley DF, Ranieri M, Rubenfeld G, Thompson BT, Wrigge H, Slutsky AS, Pesenti A; LUNG SAFE Investigators; ESICM Trials Group. Epidemiology, Patterns of Care, and Mortality for Patients With Acute Respiratory Distress Syndrome in Intensive Care Units in 50 Countries. JAMA. 2016 Feb 23;315(8):788-800. doi: 10.1001/jama.2016.0291.
PMID: 26903337RESULTSayed M, Riano D, Villar J. Novel criteria to classify ARDS severity using a machine learning approach. Crit Care. 2021 Apr 20;25(1):150. doi: 10.1186/s13054-021-03566-w.
PMID: 33879214RESULTSerpa Neto A, Deliberato RO, Johnson AEW, Bos LD, Amorim P, Pereira SM, Cazati DC, Cordioli RL, Correa TD, Pollard TJ, Schettino GPP, Timenetsky KT, Celi LA, Pelosi P, Gama de Abreu M, Schultz MJ; PROVE Network Investigators. Mechanical power of ventilation is associated with mortality in critically ill patients: an analysis of patients in two observational cohorts. Intensive Care Med. 2018 Nov;44(11):1914-1922. doi: 10.1007/s00134-018-5375-6. Epub 2018 Oct 5.
PMID: 30291378RESULTAsar S, Rahim F, Rahimi P, Acicbe O, Tontu F, Cukurova Z. Novel Oxygenation and Saturation Indices for Mortality Prediction in COVID-19 ARDS Patients: The Impact of Driving Pressure and Mechanical Power. J Intensive Care Med. 2024 Jun;39(6):595-608. doi: 10.1177/08850666231223498. Epub 2024 Jan 5.
PMID: 38179691RESULTGattinoni L, Tonetti T, Cressoni M, Cadringher P, Herrmann P, Moerer O, Protti A, Gotti M, Chiurazzi C, Carlesso E, Chiumello D, Quintel M. Ventilator-related causes of lung injury: the mechanical power. Intensive Care Med. 2016 Oct;42(10):1567-1575. doi: 10.1007/s00134-016-4505-2. Epub 2016 Sep 12.
PMID: 27620287RESULTAsar S, Acicbe O, Cukurova Z, Hergunsel GO, Canan E, Cakar N. Bedside dynamic calculation of mechanical power: A validation study. J Crit Care. 2020 Apr;56:167-170. doi: 10.1016/j.jcrc.2019.12.027. Epub 2020 Jan 2.
PMID: 31931417RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER GOV
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Doctor of Anesthesiology and Reanimation
Study Record Dates
First Submitted
May 9, 2024
First Posted
May 28, 2024
Study Start
June 1, 2012
Primary Completion
February 1, 2024
Study Completion
May 1, 2024
Last Updated
May 28, 2024
Record last verified: 2024-05
Data Sharing
- IPD Sharing
- Will not share