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Development of a predictive model for feeding intolerance in sepsis based on deep learning and metabolomics

Serum metabolomics study of gastrointestinal function impairment in patients with sepsis

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400080283
Enrollment
Unknown
Registered
2024-01-25
Start date
2022-06-10
Completion date
Unknown
Last updated
2024-01-28

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

Conditions

sepsis

Interventions

sepsis group:none
AGI group:none
healthy control group:none

Sponsors

The Guangxi Zhuang Autonomous Region People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: Patients meeting the definition and diagnostic criteria of sepsis 3.0, that is, patients with infection, SOFA score =2, and tolerance of enteral nutrition

Exclusion criteria

Exclusion criteria: 1. 80 years old; 2. Patients whose vital signs cannot be maintained or who die within 24 hours after admission Deceased patients; 3. Patients with incomplete clinical data; 4. Pregnant or lactating patients; 5. Those who refuse or give up treatment; 6. Gastrointestinal malignancy; 7. Patients with ulcerative colitis, Crohn's disease and other primary intestinal inflammation; 8. Patients who need emergency surgery.

Design outcomes

Primary

MeasureTime frame
metabolism;

Secondary

MeasureTime frame
IL-6;i-FABP;

Countries

China

Contacts

Public ContactKunlin Hu

The Guangxi Zhuang Autonomous Region People's Hospital

baggiowinter@163.com+86 151 7712 8652

Outcome results

None listed

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