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Prevention of sepsis-associated acute kidney injury by the machine learning prediction model

Prevention of sepsis-associated acute kidney injury by the machine learning prediction model

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2400080901
Enrollment
Unknown
Registered
2024-02-18
Start date
2024-02-18
Completion date
Unknown
Last updated
2024-02-19

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

Conditions

Sepsis-associated acute kidney injury

Interventions

Predictive model group:Using predictive model for the risk assessment of AKI. Patients who with high-risk will receive preventive measures recommended by KDIGO guidelines, while patients who with low-
Control group:No predictive model score will be performed and routine treatment will be given.

Sponsors

The Fourth Hospital of Hebei Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: Sepsis patients admitted to the Department of Intensive Care Medicine of the Fourth Hospital of Hebei Medical University during the study period, 1) diagnosed with sepsis according to Sepsis 3.0 criteria: a. Suspicion or presence of infection, b. qSOFA =2 points: altered consciousness, RR>22 beats/min, SBP<90mmHg; 2) Age= 18 years old; 3) Estimated ICU stay =24h; 4) Voluntarily sign the informed consent form and participate in the study.

Exclusion criteria

Exclusion criteria: 1) Acute kidney injury has been complicated when sepsis is confirmed; 2) Previous chronic renal insufficiency or dialysis treatment; 3) Patients who give up treatment or die within 24 hours of admission to the ICU; 4) Pregnant and lactating women; 5) Patients who are participating in other drugs or clinical studies or who are unwilling to sign the informed consent form.

Design outcomes

Primary

MeasureTime frame
Incidence of acute kidney injury;

Secondary

MeasureTime frame
whether to receive CRRT; length of ICU stay;28day mortality;

Countries

China

Contacts

Public ContactCong-cong Zhao

The Fourth Hospital of Hebei Medical University

819273201@qq.com+86 135 8219 4511

Outcome results

None listed

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