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Artificial Intelligence in Categorizing the Severity of Oxygenation by Incorporating the PEEP Into the Definition of ARDS in Ventilated Patients

Artificial Intelligence in Categorizing the Severity of Oxygenation by Incorporating the PEEP Into the Definition of ARDS in Ventilated Patients

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05371314
Acronym
P/FP ratio
Enrollment
5000
Registered
2022-05-12
Start date
2021-12-01
Completion date
2023-01-30
Last updated
2022-09-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

ARDS

Brief summary

Artificial Intelligence in categorizing the severity of Oxygen in ventilated patients to predict initiation of treatment measures to improve mortality - P/FP ratio

Interventions

DIAGNOSTIC_TESTP/FP ratio

PaO2/FiO2 X PEEP, SpO2/FiO2 X PEEP

Sponsors

National University Health System, Singapore
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

1\. Intubated patients

Exclusion criteria

1. pediatric and neonates 2. DNR patients 3. Non intubated patients

Design outcomes

Primary

MeasureTime frameDescription
Artificial intelligence in categorizing the severity of oxygenation of ARDS in ventilated patientsBaseline ABG done at (approximately 4 hour after intubation) to ABG done day 2,3 and day 7To see the trend and difference between day 1, 2,3 and day 7 between P/F (PaO2/FiO2) and S/F(SaO2/FiO2) ratio to P/FP (PaO2/FiO2\*PEEP) ratio and S/FP (SpO2/(FiO2\*PEEP) ratio respectively.

Countries

Singapore

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026