Why the study?
In patients presenting with unstable angina, the correlation of clinical risk predictors and clinical risk scores with the angiographic extent of coronary artery disease is less well understood.
Do clinical risk scores and individual risk factors correlate with the angiographic extent and severity of coronary artery disease in patients with unstable angina?
Do clinical risk scores and individual risk factors correlate with the angiographic extent and severity of coronary artery disease in patients with unstable angina?
TIMI, GRACE, and HEART risk scores correlate moderately with angiographic severity of CAD in unstable angina, supporting their use in identifying patients for early invasive strategies.
Moderate correlations are hypothesis-generating; leaves open whether risk scores outperform diabetes/dyslipidemia for angiographic severity in unstable angina.
Objective: In patients presenting with Unstable Angina the correlation of clinical risk predictors and clinical risk scores with angiographic extent of Coronary Artery Disease (CAD) is less well understood. The objective is to assess the correlation of various clinical risk scores for unstable angina and individual clinical risk factors with the extent and severity of coronary artery disease as assessed by coronary angiography. Materials and Methods: The present study was a single centre, hospital based, observational, cross-sectional, descriptive study conducted at a tertiary care teaching and research institute in South India. One hundred and fifty patients presenting with chest pain consistent with unstable angina were assessed for existence of independent clinical predictors and calculations were done for their 5 clinical risk scores. Coronary angiography was performed in all the patients leading to the generation of Modified Gensini score and its correlation with the various clinical risk scores was done. Results: Presence of dyslipidemia and diabetes were stronger predictors of Modified Gensini score. TIMI, GRACE& HEART risk scores had moderate correlation with angiographic severity while FRISC and PURSUIT scoring systems had a weak correlation. Conclusion: Presence of dyslipidemia and diabetes significantly affect the extent of CAD. Thus their presence in patients presenting with unstable angina assign them to the high risk category. Angiographic extent of CAD was strongly correlated with TIMI, GRACE and HEART risk scores, thus emphasizing on their use in risk stratification and in identifying the category of patients likely to make the most out of an early invasive strategy.
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Shailesh Bhatia (2023) studied this question.
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