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Prediction of sepsis-induced cardiac dysfunction using artificial intelligence and cardiodynamicsgram

Prediction of sepsis-induced cardiac dysfunction using artificial intelligence and cardiodynamicsgram

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100048456
Enrollment
Unknown
Registered
2021-07-09
Start date
2021-09-01
Completion date
Unknown
Last updated
2022-03-21

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

Conditions

sepsis

Interventions

case series:None

Sponsors

Qilu Hospital of Shandong University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: Meet the clinical diagnostic criteria of sepsis or septic shock according to the 3rd edition of the International Consensus Definition of Sepsis and Septic Shock (Sepsis-3).

Exclusion criteria

Exclusion criteria: 1. Aged <18 years; 2. Suffering from autoimmune diseases, acquired immune deficiency syndrome, agranulocytosis, malignant tumors or other serious chronic diseases (heart failure, liver failure, end-stage renal disease, etc.); 3. Are receiving glucocorticoid therapy; 4. Pregnancy; 5. Refuse to join the group or give up active treatment.

Design outcomes

Primary

MeasureTime frame
echocardiographic dysfunction;

Countries

China

Contacts

Public ContactChen Yuguo

Qilu Hospital of Shandong University

chen919085@sdu.edu.cn+86 531 82169376

Outcome results

None listed

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