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Based on bioinformatics, predict the target genes of sepsis and construct a predictive model for the prognosis of sepsis

Based on bioinformatics, predict the target genes of sepsis and construct a predictive model for the prognosis of sepsis

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500102934
Enrollment
Unknown
Registered
2025-05-21
Start date
2025-01-21
Completion date
Unknown
Last updated
2025-05-26

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
Healthy control group:None

Sponsors

Cangzhou Central Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Meeting the Sepsis 3.0 diagnostic criteria, admitted to the EICU for >72 hours, and age >18 years.

Exclusion criteria

Exclusion criteria: Not meeting the Sepsis 3.0 diagnostic criteria, age <18 years, and hospital stay <72 hours.

Design outcomes

Primary

MeasureTime frame
Secretory Leukocyte Protease Inhibitor, SLPI;S100 calcium-binding protein P;Killer Cell Lectin-Like Receptor B1, KLRB1;—

Countries

China

Contacts

Public ContactZhenzhen Sang

Cangzhou Central Hospital

sangzhenzhen1985@163.com+86 153 8317 8125

Outcome results

None listed

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