A Risk Stratification Model for Cardiovascular Complications during the 3-Month Period after Major Elective Vascular

Mladjan Golubovic1, Dragana Stanojevic2, Milan Lazarevic3

  • 1Clinic for Anesthesia and Intensive Care, Clinical Center Nis, 18000 Nis, Serbia.

Insights

Predicting cardiovascular complications after major vascular surgery is improved by combining clinical scores like RCRI with biomarkers. A model including RCRI, hs-TnI, and NT-proBNP offers the best predictive power for 3-month cardiac events.

Area of Science:

  • Cardiology
  • Vascular Surgery
  • Biomarkers

Background:

  • The Revised Cardiac Risk Index (RCRI) is a widely used tool for cardiac risk stratification in surgical patients.
  • Current risk assessment models may require enhancement for predicting cardiovascular complications in major vascular surgery.

Purpose of the Study:

  • To identify the optimal model for predicting 3-month cardiovascular complications in elective major vascular surgery patients.
  • To evaluate the predictive value of combining clinical scores (RCRI, V-POSSUM) with biomarkers (NT-proBNP, hs-TnI, hs-CRP).

Main Methods:

  • A prospective, observational study included 122 major vascular surgery patients.
  • Preoperative measurements included NT-proBNP, hs-CRP, and hs-TnI.
  • Cardiac events were monitored for 90 days post-surgery.

Main Results:

  • 23.8% of patients experienced cardiac complications within 3 months.
  • RCRI scores differed significantly between patients with and without complications.
  • A combination model of RCRI, hs-TnI, and NT-proBNP demonstrated the highest predictive power (AUC 0.963).

Conclusions:

  • Preoperative risk assessment for major vascular surgery can be improved by integrating clinical scores with biomarkers.
  • This combined approach allows for better identification of patients at high risk for cardiovascular complications.
  • Optimized preoperative assessment can lead to targeted diagnosis and treatment, improving patient outcomes.
Abstract

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