Center for Cardiac Surgery and Critical Care
Beijing, China
NCT Number: NCT07583290
This is a multicenter, retrospective, real-world observational study aimed at developing and validating an artificial intelligence-based tool for identifying ulinastatin treatment responders and risk stratification in cardiac surgery patients undergoing cardiopulmonary bypass (CPB).
Ulinastatin, a glycoprotein extracted from human urine, has shown potential benefits in reducing postoperative complications and inflammatory responses in cardiac surgery. However, evidence supporting its efficacy and optimal application in specific patient populations remains insufficient.
This study will collect clinical data from approximately 4 tertiary cardiac centers in China, including patients who underwent cardiac surgery with CPB. Using machine learning algorithms (such as weighted K-modes clustering and XGBoost), the study aims to: (1) construct a multicenter real-world database for cardiac surgery; (2) identify clinical characteristics associated with ulinastatin treatment response; (3) develop and validate an AI-based risk stratification tool to assist clinical decision-making. This study may provide evidence-based guidance for personalized perioperative anti-inflammatory treatment in cardiac surgery.
This study is active but is not currently recruiting participants.
18 year and older
All sexes
Observational
Beijing, China
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The patient used ulinastatin during the operation and while hospitalized in the ICU, and received mechanical ventilation.
Time frame: 30 days after the operation
All-cause mortality occurring during the hospitalization period following cardiac surgery with cardiopulmonary bypass. Mortality is defined as death from any cause that occurs from the time of surgery until hospital discharge, including deaths related to cardiovascular events, multiple organ dysfunction syndrome (MODS), infection, bleeding, or other complications.
Time frame: From the date of hospitalization until the date of hospital discharge or 30 days after the operation, whichever occurs first, assessed up to 30 days postoperatively.
The number of new MODS cases occurring in the targeted patients during research time period, divided by the total number of individuals at risk over the same period.
Beijing Anzhen Hospital
Other
Development and Validation of an AI-Based Tool for Identifying Responders and Stratifying Risks in Ulinastatin Treatment in Cardiac Surgery: A Multicenter Real-world Study
Acronym: AURORA
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT07249164
Cardiac Surgical Procedures, Confusion
Taichung, Taichung City, Taiwan
View Trial DetailsNCT07617675
AKI - Acute Kidney Injury, Acute Kidney Injury
Beijing, China
View Trial DetailsNCT05537168
Cardiac Surgical Procedures, Cardiopulmonary Bypass
Brussels, Belgium
View Trial DetailsNCT02398019
Cardiac Surgical Procedures, Cardiopulmonary Bypass
L'Hospitalet de Llobregat, Barcelona, Spain
View Trial Details