Rcri score
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Summary
10 papers analyzed
Some studies suggest the RCRI moderately predicts cardiac events and noncardiac complications in various surgeries, while other studies indicate its predictive ability is poor in specific populations and can be improved with modifications or additional biomarkers.
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Evaluating the Revised Cardiac Risk Index (RCRI) for Predicting Perioperative Cardiac Complications
Introduction to the Revised Cardiac Risk Index (RCRI)
The Revised Cardiac Risk Index (RCRI) is a widely used tool designed to predict the risk of perioperative cardiac complications in patients undergoing noncardiac surgery. Developed in 1999, the RCRI includes six independent predictors: high-risk surgery, ischemic heart disease, congestive heart failure, cerebrovascular disease, insulin treatment, and elevated creatinine levels. Despite its widespread use, the accuracy and applicability of the RCRI have been subjects of ongoing research and debate.
Predictive Accuracy of RCRI in Noncardiac Surgery
General Noncardiac Surgery
The RCRI has been shown to moderately discriminate between patients at low and high risk for cardiac events after mixed noncardiac surgeries. A systematic review of 24 studies involving 792,740 patients found that the RCRI had an area under the receiver-operating characteristic curve (AUC) of 0.75, indicating moderate predictive ability. However, the tool's performance was less accurate for predicting cardiac events after vascular noncardiac surgery, with an AUC of 0.64.
Specific Surgical Contexts
Hip Fracture Surgery
In a study involving 134,915 patients undergoing hip fracture surgery, an increasing RCRI score was strongly associated with higher postoperative mortality at 30 days, 90 days, and 1 year. Patients with an RCRI score of 4 or more had a significantly higher risk of mortality compared to those with an RCRI score of 0.
Colorectal Cancer Surgery
Research on patients undergoing emergency colorectal cancer surgery also demonstrated a linear increase in 90-day postoperative mortality with higher RCRI scores. Patients with an RCRI score of 4 or more had a significantly higher adjusted incidence rate ratio for mortality compared to those with an RCRI score of 1 .
Posterior Lumbar Decompression
The RCRI was found to predict a range of noncardiac complications after posterior lumbar decompression, including unplanned intubation, ventilation over 48 hours, and acute renal failure. However, its discriminative ability was lower compared to the American Society of Anesthesiologists (ASA) score.
Enhancements to the RCRI
Incorporating Biomarkers
Studies have suggested that combining the RCRI with biomarkers such as high-sensitivity troponin I (hs TnI) and N-terminal brain natriuretic peptide (NT pro-BNP) can improve its predictive accuracy. For instance, a study on patients undergoing major elective vascular surgery found that adding these biomarkers to the RCRI significantly enhanced its predictive power for 3-month cardiovascular complications.
Modifications for Specific Populations
In diabetic patients undergoing noncardiac surgery, substituting the "diabetes mellitus on insulin" component of the RCRI with the HbA1C:Hemoglobin ratio improved the model's accuracy for predicting 30-day and 90-day mortality, as well as postoperative acute myocardial injury and acute kidney injury.
Application in Liver Transplantation
For patients undergoing liver transplantation, the RCRI added predictive value to the Model for End-Stage Liver Disease (MELD) score, enhancing the prediction of 30-day postoperative cardiac events.
Limitations and Areas for Improvement
Despite its utility, the RCRI has limitations. Studies have highlighted its poor predictive ability in certain populations, such as older Chinese patients with coronary artery disease undergoing noncardiac surgery . Additionally, the methodological quality of studies evaluating the RCRI has been variable, with some studies showing high heterogeneity in their findings.
Conclusion
The RCRI remains a valuable tool for perioperative cardiac risk assessment, particularly in general noncardiac surgeries. However, its predictive accuracy can be enhanced by incorporating additional biomarkers and modifying its components for specific patient populations. Ongoing research and high-quality studies are essential to refine the RCRI and improve its applicability across diverse clinical settings.
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