Machine Learning Prediction of Mortality After Prone Positioning in ARDS

A Machine Learning Model to Predict Mortality in Patients With Acute Respiratory Distress Syndrome After Prone Positioning

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT07445061

Enrollment

358

Registered

2026-03-03

Start date

2026-03-01

Completion date

2026-05-01

Last updated

2026-08-14

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

Conditions

Acute Respiratory Distress Syndrome (ARDS), Prone Position Ventilation, Machine Learning, ICU, ARDS

Brief summary

Acute respiratory distress syndrome (ARDS) is a life-threatening condition with high mortality. Prone position ventilation (PPV) is an evidence-based therapy that improves oxygenation and survival in patients with moderate to severe ARDS; however, outcomes remain heterogeneous. Early identification of patients at high risk of mortality after PPV may improve clinical decision-making and individualized management. This retrospective observational study developed and validated a machine learning model to predict intensive care unit (ICU) mortality in patients with ARDS receiving prone position ventilation. Clinical, laboratory, and treatment variables obtained from ICU electronic medical records were used to construct prediction models using multiple machine learning algorithms. The performance of these models was evaluated and compared to identify the optimal model for mortality prediction.

Interventions

OTHERProne Position Ventilation

Prone position ventilation applied as part of routine clinical care for patients with acute respiratory distress syndrome. No experimental intervention was assigned in this observational study.

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Inclusion criteria

* Diagnosis of ARDS according to the Berlin definition; * Receipt of at least one session of prone position ventilation (PPV) during hospitalization; * Requirement for mechanical ventilation.

Exclusion criteria

* Age \<18 years; * PPV duration \<6 hours; * ICU length of stay \<2 days; * Pregnancy; * Receipt of awake prone positioning. * Missing key clinical data.

Design outcomes

Primary

Measure	Time frame	Description
ICU Mortality	Up to 90 days.	Death from any cause during the intensive care unit (ICU) stay among patients with acute respiratory distress syndrome receiving prone position ventilation.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 15, 2026