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Personalized Treatment Strategy for Critically Ill Patients using Mechanical Ventilation under the Framework of Reinforcement Learning

Personalized Treatment Strategy for Critically Ill Patients using Mechanical Ventilation under the Framework of Reinforcement Learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500096700
Enrollment
Unknown
Registered
2025-02-05
Start date
2025-02-09
Completion date
Unknown
Last updated
2025-02-10

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

Conditions

Critically Ill Patients using Mechanical Ventilation

Interventions

High degree of conformity:None
Low degree of conformity:None

Sponsors

Department of Critical Care Medicine of West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age older than 18 years old; 2. The expected length of intensive care unit stay is more than 14 days; 3. Expected to require long-term (>=7 days) mechanical ventilation after ICU admission; 4. Expected to require long-term (>=7 days) treatment with sedative and analgesic drugs after ICU admission.

Exclusion criteria

Exclusion criteria: 1. Patients admitted to ICU with major primary diseases such as grand mal epilepsy, intracranial hypertension, cerebral aneurysm, intracranial hemorrhage, craniocerebral injury, cerebral infarction, stroke, etc.; 2.BMI > 40kg/m^2; 3. Pregnant women or those who have plans for pregnancy; 4. Other items that may not be applicable to the study.

Design outcomes

Primary

MeasureTime frame
All cause mortality rate;—

Countries

China

Contacts

Public ContactZhongwei Zhang

West China Hospital, Sichuan University

zhangzhongwei@scu.edu.cn+86 189 8060 2035

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026