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NCT07539532 Comparing Traditional Risk Scores and an AI-Based Multimodal Model for Predicting Cardiovascular Events After Gastrointestinal Surgery

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Clinical Trial Summary
NCT ID NCT07539532
Status Recruiting
Phase
Sponsor Bach Mai Hospital
Condition Postoperative Complications
Study Type OBSERVATIONAL
Enrollment 5,000 participants
Start Date 2026-01-01
Primary Completion 2026-06-30

Eligibility & Interventions

Sex All sexes
Min Age 16 Years
Max Age N/A
Study Type OBSERVATIONAL

Eligibility Fast-Check

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What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 5,000 participants in total. It began in 2026-01-01 with a primary completion date of 2026-06-30.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

The goal of this observational study is to develop and evaluate an artificial intelligence (AI)-based multimodal model for predicting major cardiovascular events within 30 days after gastrointestinal surgery in adults at Bach Mai Hospital. The study will also compare the predictive performance of this AI-based model with commonly used traditional risk scores. The main questions it aims to answer are: Can an AI-based multimodal model predict major cardiovascular events within 30 days after gastrointestinal surgery? Does the AI-based model show better predictive performance than the Revised Cardiac Risk Index (RCRI), the American College of Surgeons National Surgical Quality Improvement Program Myocardial Infarction or Cardiac Arrest calculator (ACS NSQIP MICA), and the ACS NSQIP Surgical Risk Calculator (ACS NSQIP SRC)? Researchers will compare the AI-based multimodal model with traditional risk scores using measures of predictive performance, including discrimination, calibration, net reclassification improvement, and integrated discrimination improvement. Participants will be adults undergoing gastrointestinal surgery. Researchers will review medical record data from patients treated in 2025 and will also collect the same types of clinical data prospectively in 2026. The clinical outcome being predicted is the occurrence of major cardiovascular events within 30 days after surgery. The study will not change routine clinical care.

Eligibility Criteria

Inclusion Criteria: * Adults aged 18 years or older. * Undergoing gastrointestinal surgery at Bach Mai Hospital between January 2025 and December 2026. * Available preoperative, intraoperative, and postoperative data sufficient for analysis. Exclusion Criteria: * Death within 24 hours after surgery due to a clearly non-cardiovascular cause. * Incomplete data required for analysis.

Frequently Asked Questions

Who can join the NCT07539532 clinical trial?

This trial is open to participants of all sexes, aged 16 Years or older, studying Postoperative Complications. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT07539532 currently recruiting?

Yes, NCT07539532 is actively recruiting participants. Visit ClinicalTrials.gov or contact Bach Mai Hospital to inquire about joining.

Where is the NCT07539532 trial being conducted?

This trial is being conducted at Hà Nội, Vietnam.

Who is sponsoring the NCT07539532 clinical trial?

NCT07539532 is sponsored by Bach Mai Hospital. The trial plans to enroll 5,000 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology