RecruitingNCT07070362

Digital Early Warning System for Acute Lung Injury in Liver Surgery

The Construction of a Digital Intelligence Early Warning System for the Whole Process of Acute Lung Injury in Liver Surgery Based on Cardiopulmonary Interaction Characteristics

Sponsor

Beijing Tsinghua Chang Gung Hospital

Enrollment

4,000 participants

Start Date

Nov 1, 2024

Study Type

OBSERVATIONAL

Conditions

MASLD/MASH (Metabolic Dysfunction-Associated Steatotic Liver Disease / Metabolic Dysfunction-Associated Steatohepatitis)Acute Lung Injury(ALI)Liver Cirrhosis ARDS, Human MASLD NAFLD (Nonalcoholic Fatty Liver Disease)Liver Cancer, Adult

Summary

This study focuses on developing an explainable machine learning model based on cardiopulmonary interaction characteristics to achieve early prediction of acute lung injury (ALI) in patients undergoing major liver surgery. The research will establish a digital early-warning system for ALI to provide support for clinical diagnosis and treatment decisions, thereby reducing the incidence and fatality rate of ALI.

Eligibility

Min Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This study develops and tests a digital early warning system to detect acute lung injury in patients who have undergone major liver surgery. The goal is to identify patients at risk earlier so doctors can intervene before the condition becomes serious. **You may be eligible if...** - You are 18 or older - You are scheduled for major liver surgery (removal of two or more liver segments, or a liver transplant) - You agree to participate and sign consent forms **You may NOT be eligible if...** - You are under 18 - You are not scheduled for a qualifying liver procedure - You are unable or unwilling to provide informed consent Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

OTHERNone-placebo

This observational cohort study is non-interventional. Perioperative treatment plans are made based on model - suggested results and anesthesiologists' thought processes, without adding new medicines for patients.

Locations(1)

Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine，Tsinghua University

Beijing, Beijing Municipality, China

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NCT07070362

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