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A Study on Reinforcement Learning-based Sepsis Fluid Resuscitation Strategies

A Study on Reinforcement Learning-based Sepsis Fluid Resuscitation Strategies

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500101525
Enrollment
Unknown
Registered
2025-04-25
Start date
2025-04-30
Completion date
Unknown
Last updated
2025-04-28

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

Conditions

sepsis

Interventions

sepsis group:NA

Sponsors

Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 85 Years

Inclusion criteria

Inclusion criteria: 1. Aged >=18 and <=85 years. 2. Patients were diagnosed with sepsis on admission to the ICU or after admission.

Exclusion criteria

Exclusion criteria: 1. Total ICU length of stay <48 hours.

Design outcomes

Primary

MeasureTime frame
All-cause mortality on day 28;Accuracy;recall;precision;—

Countries

China

Contacts

Public ContactDechang Chen

Ruijin Hospital, Shanghai Jiao Tong University School of Medicine

18918520002@189.cn+86 18918520002

Outcome results

None listed

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