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An artificial intelligence model for dynamic blood glucose prediction of critically ill patients during the perioperative period based on real-world multimodal clinical data

An artificial intelligence model for dynamic blood glucose prediction of critically ill patients during the perioperative period based on real-world multimodal clinical data

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500115171
Enrollment
Unknown
Registered
2025-12-23
Start date
2025-12-31
Completion date
Unknown
Last updated
2026-01-05

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

Conditions

Perioperative critically ill patients

Interventions

Observation group for Blood Glucose in critically ill patients:None

Sponsors

General Hospital of the Eastern Theater Command of the People's Liberation Army of China (Jinling Hospital Affiliated to Nanjing University Medical School)
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age >=18 years old; 2. Stay in the ICU for more than 48 hours; 3. Underwent general surgery-related operations during hospitalization.

Exclusion criteria

Exclusion criteria: 1. Pregnant or lactating patients; 2. Patients lacking key blood glucose data and clinical outcome information; 3. Patients with acute complications of diabetes, such as ketoacidosis or hyperosmolar hyperglycemic state; 4. Patients receiving glucocorticoid treatment.

Design outcomes

Primary

MeasureTime frame
Blood glucose;—

Secondary

MeasureTime frame
Weight;Height;—

Countries

China

Contacts

Public ContactWang Xinying

General Hospital of the Eastern Theater Command of the People's Liberation Army of China (Jinling Hospital Affiliated to Nanjing University Medical School)

1104775184@qq.com+86 25 8086 0036

Outcome results

None listed

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