Perioperative critically ill patients
Conditions
Interventions
Artificial Intelligence Group:The artificial intelligence group adopted a perioperative blood glucose prediction model established in a previous retrospective study and externally validated. This mode
Fingertip blood glucose group:The fingertip blood glucose group was managed according to the conventional perioperative blood glucose management process, and fingertip blood glucose monitoring was con
Sponsors
General Hospital of the Eastern Theater Command of the People's Liberation Army of China (Jinling Hospital Affiliated to Nanjing University Medical School)
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: 1. Age >=18 years old; 2. The estimated length of stay in the ICU after the operation is more than 24 hours.
Exclusion criteria
Exclusion criteria: 1. Pregnant or lactating patients; 2. Patients with acute complications of diabetes, such as ketoacidosis or hyperosmolar hyperglycemic state; 3. Patients receiving glucocorticoid treatment; 4. Patients with severe hemodynamic instability who require high-dose vasoactive drugs for maintenance; 5. There is severe skin damage or infection, making it impossible to wear a continuous ambulatory blood glucose monitoring (CGM) sensor; 6. Refuse to sign the informed consent form.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Incidence of stress-induced hyperglycemia; | — |
Secondary
| Measure | Time frame |
|---|---|
| Time in Range (TIR);Time Above Range (TAR);Time Below Range (TBR);Daily Glycemic Variability;Mean Daily Glucose Concentration;Incidence of Hypoglycemia; | — |
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)
Outcome results
None listed