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Research on nutritional support strategies for critically ill respiratory patients based on deep neural networks

Research on nutritional support strategies for critically ill respiratory patients based on deep neural networks

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500099703
Enrollment
Unknown
Registered
2025-03-27
Start date
2024-04-09
Completion date
Unknown
Last updated
2025-03-31

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

Conditions

Respiratory Critical Illness

Interventions

Prospective group:None
Retrospective group:None

Sponsors

Beijing Chaoyang Hospital Affiliated to Capital Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: Stay at RICU, aged 18 or above, and receive nutritional support.

Exclusion criteria

Exclusion criteria: 1.Patients who have been in the ICU for less than 3 days; 2.Patients who have not received enteral or parenteral nutrition support.

Design outcomes

Primary

MeasureTime frame
ICU length of stay;Mortality;—

Secondary

MeasureTime frame
Pre albumin;Albumin;Length of mechanical ventilation;REE;Cholesterol;Triglyceride;Creatinine;Urea nitrogen;24-hour urinary nitrogen;—

Countries

China

Contacts

Public ContactYalan Liu

Beijing Chaoyang Hospital Affiliated to Capital Medical University

lylan1989@163.com+86 159 0110 3219

Outcome results

None listed

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