Comparison Of Advise French Scores, Cin-Risk, And National Cardiovascular Data Registry (NCDR) Scores As Predictors Of Acute Kidney Disorders (acute Kidney Injury/batteries)
Comparison of Advisfise, Cin-Risk, and NCDR Scores as Predictors of Acute Kidney Disorders in Acute Myocardial Infarction
Background
Acute coronary syndrome (ACS) is a major challenge in the cardiovascular field, with acute kidney disorders (AKI) being a common complication that can worsen the patient's prognosis. The occurrence of AKI in acute myocardial infarction (AMI) is influenced by various factors, and the importance of clinical tools to predict the risk of AKI after AMI has become more apparent. This study aims to compare three predictive scores, namely Advisfise, Cin-Risk, and scores from the National Cardiovascular Data Registry (NCDR), in predicting AKI events in AMI patients with ST segment elevation (AMIEST) after undergoing primary coronary intervention (PCI).
The Importance of Predicting AKI in AMI Patients
Acute kidney disorders (AKI) are a significant complication of acute myocardial infarction (AMI), with a high incidence rate and a negative impact on long-term outcomes. The identification of patients at high risk of AKI is crucial for better post-PCI management and care. Accurate prediction tools are essential for medical personnel to determine the right maintenance strategy and prevent AKI-related complications.
Methodology
This study involved a cohort of 72 AMIEST patients undergoing primary PCI at H. Adam Malik Hospital Medan between October 2018 and October 2019. Various variables, including coronary heart disease risk factors, clinical parameters, and laboratory values, were examined when patients were admitted to the hospital. Evaluation of creatinine levels was also conducted 48-72 hours after the primary PCI to assess the incidence of AKI. Statistical analysis was used to assess the ability of the three scores in predicting the incidence of AKI in AMIEST patients who underwent primary PCI.
Results
Of the total 72 patients analyzed, there were 25 patients (34.7%) who experienced AKI, while 47 patients (65.3%) did not experience these complications. The analysis shows that among the three scores under study, the Cin-Risk score has the highest area under the curve (AUC), which is 0.806 (95% CI: 0.695-0.916). Furthermore, Advisfise's score is in second place with AUC of 0.771 (95% CI: 0.644-0.898), followed by an NCDR score which has an AUC of 0.769 (95% CI: 0.648-0.889).
Discussion
From the results of the study, it can be concluded that all the scores tested have the ability to predict the incidence of AKI in AMIEST patients after undergoing the primary PCI. However, the Cin-Risk score shows the best prediction value compared to the scores of Advisfise and NCDR. This shows that the use of Cin-Risk scores can be a valuable tool in clinical practice to identify patients with high risk of experiencing AKI.
The Role of Cin-Risk Score in Predicting AKI
The Cin-Risk score has been shown to have the highest AUC among the three scores under study, indicating its ability to predict the incidence of AKI in AMIEST patients. The use of Cin-Risk score can be a valuable tool in clinical practice to identify patients with high risk of experiencing AKI. This can lead to better post-PCI management and care, including more stringent monitoring and preventive intervention to prevent AKI-related complications.
Conclusion
Advisfise, Cin-Risk, and NCDR scores are useful tools in predicting the incidence of acute kidney disorders in AMIEST patients after primary PCI. Of the three scores, the Cin-Risk score is proven to have the best prediction value, and should be considered to be used in clinical practice in assessing the risk of AKI in patients with similar conditions. Further research is needed to confirm this finding and explore the application of this score in a broader clinical context.
Limitations of the Study
This study has several limitations, including the small sample size and the use of a single-center cohort. Further studies are needed to confirm the findings of this study and explore the application of Cin-Risk score in a broader clinical context.
Future Directions
The use of Cin-Risk score in predicting AKI in AMIEST patients has the potential to improve post-PCI management and care. Further research is needed to explore the application of this score in a broader clinical context, including its use in different patient populations and settings. Additionally, the development of new predictive scores and models is essential to improve the accuracy and reliability of AKI prediction.
Clinical Implications
The use of Cin-Risk score in predicting AKI in AMIEST patients has several clinical implications. It can lead to better post-PCI management and care, including more stringent monitoring and preventive intervention to prevent AKI-related complications. Additionally, the use of Cin-Risk score can help identify patients with high risk of experiencing AKI, allowing for early intervention and prevention of AKI-related complications.
Recommendations
Based on the findings of this study, we recommend the use of Cin-Risk score in clinical practice to predict the incidence of AKI in AMIEST patients after primary PCI. Additionally, further research is needed to confirm the findings of this study and explore the application of this score in a broader clinical context.
Frequently Asked Questions (FAQs) about Advisfise, Cin-Risk, and NCDR Scores as Predictors of Acute Kidney Disorders in Acute Myocardial Infarction
Q: What are Advisfise, Cin-Risk, and NCDR scores?
A: Advisfise, Cin-Risk, and NCDR scores are predictive tools used to assess the risk of acute kidney disorders (AKI) in patients with acute myocardial infarction (AMI). These scores are calculated based on various clinical and laboratory parameters, including age, sex, blood pressure, creatinine levels, and other factors.
Q: What is the purpose of using these scores?
A: The primary purpose of using these scores is to identify patients at high risk of AKI, allowing for early intervention and prevention of AKI-related complications. By using these scores, healthcare providers can develop a more personalized treatment plan for patients with AMI, reducing the risk of AKI and improving patient outcomes.
Q: Which score has the highest predictive value?
A: According to the study, the Cin-Risk score has the highest area under the curve (AUC) among the three scores, indicating its ability to predict the incidence of AKI in AMIEST patients. The Cin-Risk score has an AUC of 0.806 (95% CI: 0.695-0.916), making it the most accurate predictor of AKI among the three scores.
Q: What are the limitations of this study?
A: This study has several limitations, including the small sample size and the use of a single-center cohort. Further studies are needed to confirm the findings of this study and explore the application of Cin-Risk score in a broader clinical context.
Q: Can these scores be used in other patient populations?
A: While the study focused on AMIEST patients, the Cin-Risk score may be applicable to other patient populations with similar risk factors and clinical characteristics. However, further research is needed to confirm the validity and reliability of the Cin-Risk score in these populations.
Q: How can healthcare providers use these scores in clinical practice?
A: Healthcare providers can use these scores as a tool to identify patients at high risk of AKI and develop a more personalized treatment plan. By using these scores, healthcare providers can reduce the risk of AKI and improve patient outcomes.
Q: What are the potential benefits of using these scores?
A: The potential benefits of using these scores include improved patient outcomes, reduced risk of AKI, and more personalized treatment plans. By using these scores, healthcare providers can develop a more effective and efficient treatment plan for patients with AMI.
Q: What are the potential limitations of using these scores?
A: The potential limitations of using these scores include the need for further research to confirm the validity and reliability of the scores, the potential for bias in the scoring system, and the need for ongoing monitoring and evaluation of the scores.
Q: How can healthcare providers stay up-to-date with the latest research and developments in this area?
A: Healthcare providers can stay up-to-date with the latest research and developments in this area by attending conferences and workshops, reading peer-reviewed journals, and participating in online forums and discussions.
Q: What are the next steps for further research in this area?
A: The next steps for further research in this area include confirming the findings of this study, exploring the application of Cin-Risk score in other patient populations, and developing new predictive scores and models to improve the accuracy and reliability of AKI prediction.