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A study for nutritional requirements of critically ill patients based on machine learning

Precise optimization of energy and protein intake in critically ill patients: a study based on machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900024746
Enrollment
Unknown
Registered
2019-07-26
Start date
2019-08-10
Completion date
Unknown
Last updated
2019-07-29

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

Conditions

Critical illness

Interventions

Case series:Nil

Sponsors

Institute of Emergency Medicine and Disaster Medicine Sichuan People's Hospital, Sichuan Academy of Medical Sciences
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients requiring enteral and parenteral nutrition to support > 3 days; According to admission diagnosis (admission diagnosis): multiple injuries or sepsis;Infectious shock plus multiple organ dysfunction syndrome;Retrieval department: EICU.

Exclusion criteria

Exclusion criteria: Metabolic chronic diseases that are difficult to control, such as diabetes, thyroid disease (hyperthyroidism or hypothyroidism), Cushing's syndrome; Age <18 years; Pregnant or nursing mother; The presence of tuberculosis, HIV infection and other acute infectious diseases; Severe liver, kidney, heart and other important organ failure exists.

Design outcomes

Primary

MeasureTime frame
diseased;—

Countries

China

Contacts

Public ContactJang Hua

Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital

cdjianghua@qq.com+86 13980001701

Outcome results

None listed

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