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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.
Introduction:
The Revised Cardiac Risk Index (RCRI) is an extensively used simple risk stratification tool advocated by the European Society of Cardiology and European Society of Anesthesiology (ESC/ESA).
Purpose:
The aim of this study was to find the best model for predicting 3-month cardiovascular complications in elective major vascular surgical patients using preoperative clinical assessment, calculation of the RCRI and Vascular Physiological and Operative Severity Score for the enumeration of mortality and morbidity (V-POSSUM) scores, and the preoperative levels of N-terminal brain natriuretic peptide (NT pro-BNP), high-sensitivity troponin I (hs TnI), and high-sensitivity C-reactive protein (hs CRP).
Materials And Methods:
We included 122 participants in a prospective, single-center, observational study. The levels of NT pro-BNP, hs CRP, and hs TnI were measured 48 hours prior to surgery. During the perioperative period and 90 days after surgery the following adverse cardiac events were recorded: myocardial infarction, arrhythmias, pulmonary edema, acute decompensated heart failure, and cardiac arrest.
Results:
During the first 3 months after surgery 29 participants (23.8%) had 50 cardiac complications. There was a statistically significant difference in the RCRI score between participants with and without cardiac complications. ROC analysis showed that a combination of RCRI with hs TnI has good discriminatory power (AUC 0.909, p<0,001). By adding NT pro-BNP concentrations to the RCRI+hs TnI+V-POSSSUM combination we obtained the model with the best predictive power for 3-month cardiac complications (AUC 0.963, p<0,001).
Conclusion:
We need to improve preoperative risk assessment in participants scheduled for major vascular surgery by combining their clinical scores with biomarkers. Therefore, it is possible to identify patients at risk of cardiovascular complications who need adequate preoperative diagnosis and treatment.
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