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Artificial Intelligence for Ulinastatin Responder Outcome & Risk Assessment in CPB (AURORA)

8. mai 2026 oppdatert av: Xiaotong Hou, Beijing Anzhen Hospital

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

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.

Studieoversikt

Status

Aktiv, ikke rekrutterende

Forhold

Intervensjon / Behandling

Legemiddel: ulinastatin

Studietype

Observasjonsmessig

Registrering (Antatt)

10000

Kontakter og plasseringer

Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.

Studiesteder

Kina
- - Beijing, Kina
    - Center for Cardiac Surgery and Critical Care

Deltakelseskriterier

Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.

Kvalifikasjonskriterier

Alder som er kvalifisert for studier

Voksen
Eldre voksen

Tar imot friske frivillige

Nei

Prøvetakingsmetode

Ikke-sannsynlighetsprøve

Studiepopulasjon

Patients who underwent cardiac surgery with cardiopulmonary bypass at 4 tertiary cardiac centers in China, including coronary artery bypass grafting, valve surgery, congenital heart defect repair, and major vascular surgery. Patients are categorized based on perioperative ulinastatin use (ulinastatin group vs. control group). Data collected from electronic medical records.

Beskrivelse

Inclusion Criteria:

Patients underwent extracorporeal circulation heart surgery, including coronary artery bypass grafting, valve repair or replacement surgery, congenital heart defect repair surgery, and major vascular and aortic disease surgeries;
Patients received standard treatment (such as anticoagulation, circulatory support), with or without ulinastatin.

Exclusion Criteria:

Patients who had undergone cardiopulmonary bypass surgery multiple times;
Patients with incomplete clinical records, lacking key information such as patient ID, age, gender and disease diagnosis.

Studieplan

Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.

Hvordan er studiet utformet?

Designdetaljer

Hva måler studien?

Primære resultatmål

Resultatmål	Tiltaksbeskrivelse	Tidsramme
All-cause mortality Tidsramme: 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.	30 days after the operation

Sekundære resultatmål

Resultatmål	Tiltaksbeskrivelse	Tidsramme
The incidence rate of MODS Tidsramme: 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.	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.

Samarbeidspartnere og etterforskere

Det er her du vil finne personer og organisasjoner som er involvert i denne studien.

Sponsor

Beijing Anzhen Hospital

Studierekorddatoer

Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.

Studer hoveddatoer

Studiestart (Faktiske)

1. januar 2018

Primær fullføring (Faktiske)

31. desember 2024

Studiet fullført (Antatt)

31. mars 2027

Datoer for studieregistrering

Først innsendt

20. mars 2026

Først innsendt som oppfylte QC-kriteriene

8. mai 2026

Først lagt ut (Faktiske)

13. mai 2026

Oppdateringer av studieposter

Sist oppdatering lagt ut (Faktiske)