Digestive System Surgical Procedures

Major abdominal surgery (MAS) carries a high risk of 30-day mortality (\>5%). Perioperative myocardial injury (PMI) and myocardial injury after noncardiac surgery (MINS) frequently develop asymptomatically due to surgical analgesia. The 2022 European Society of Cardiology (ESC) Guidelines recommend routine surveillance with high-sensitivity cardiac troponin (hs-cTn) before and after surgery in high-risk patients, defining PMI by an absolute increase in hs-cTnT \>= 14 ng/L or a peak \> 5x ULN (\> 70 ng/L). However, validation in Asian populations and major abdominal visceral resections is scarce. This prospective observational cohort study (TROP-MAS) recruits \>= 650 consecutive high-cardiovascular-risk patients undergoing major abdominal surgery at Bach Mai Hospital (Hanoi, Vietnam). The study systematically evaluates the incidence and prognostic significance of hs-cTnT kinetics (T0 baseline, T1 24h, T2 48h postoperative) regarding 30-day all-cause mortality, major adverse cardiovascular events (MACE), and severe noncardiac complications (acute kidney injury, sepsis, anastomotic leak, bowel ischemia). Furthermore, it derives and validates population-specific optimal prognostic cut-off values using ROC curve analysis and multivariable Cox modeling.

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.

The aim of this study is to evaluate if a polyamine deficient diet started 7 days prior to a major abdominal surgery (eventration cure and digestive continuity) and followed 7 days post-surgery reduces the area under the curve of the numerical pain rating scale in the 72 hours post-surgery.