RESUMEN
Objective: To analyze and compare various cardiovascular disease risk scores in Western Indian patients undergoing Coronary angiogram (CAG). Methods: In this prospective cross-sectional study, 1213 patients who underwent conventional coronary angiography; clinical risk profile and biochemical investigations were evaluated prior to undergoing CAG. Apart from the demographic information, 10-year absolute risk of having a major cardiovascular event (cardiovascular death, myocardial infarction or stroke) was calculated for each patient using various available Traditional Risk Scores (TRS). The population was divided in low, intermediate and high-risk categories for each of these scores. Results: Traditional cardiovascular risk factors like hypertension (41.8%) and diabetes mellitus-II (26.9%) were the two most prevalent risk factors in our study population. A higher risk value for all these TRS was more likely to be associated with obstructive coronary artery disease (OCAD) on CAG. Patients with high risk (≥20% for 10-year) QRESEARCH (QRISK3) score category had higher number of patients with obstructive CAD (49.6%) as compared to high risk category of risk score for those with high Global Registry of Acute Coronary Events (GRACE) score (46.6%) or risk Framingham (FRS CHD) score (29.2%) and risk atherosclerotic cardiovascular disease (ASCVD) score (30.1%) (P < 0.0001). A higher TRS was more likely to be associated with obstructive CAD, with the highest predictability being with QRISK3 (QRISK3 score 60.9%, GRACE score 54.9%, FRS-CHD score 34% and ASCVD score 42.1% respectively; P < 0.0001). A substantial study population (27.4%) cannot be identified using any of these TRS and hence a need of indigenous or modified risk scores is proposed. Conclusion: QRISK3 score was most efficacious for predicting obstructive CAD in our Indian study population on CAG. A higher risk score also correlated with the number of vessels involved on coronary angiogram. A substantial obstructive CAD patient could not be identified using traditional risk scores hence need for an indigenous or modified score.
RESUMEN
BACKGROUND: Chronic kidney disease (CKD) is an independent risk factor for the development of coronary artery disease. We evaluated outcomes amongst patients of CKD undergoing percutaneous coronary intervention (PCI) as assessed on severity of CKD based on estimated glomerular filtration rate (eGFR) at the time of PCI. METHOD AND MATERIALS: We analyzed 100 consecutive CKD patients who underwent PCI and were followed up for 1 year; an observational, prospective, open-label study. Multivariate and Receiver operator characteristics (ROC) analysis was used to determine the cut point ofeGFR for predicting 4-P major adverse cardiac events (MACE) outcomes defined as the composite of Cardiovascular (CV) mortality, heart failure hospitalization (HHF), repeat revascularization and non-fatal MI over 1 year follow up. RESULTS: According to eGFR cut-off value derived from ROC, patients were divided in to two groups based on eGFR cut-off of 36.25 mL/min/1.73 m2. Majority of patients (79%) were in Group 1 (eGFR >36.25 mL/min/1.73 m2). Group 2 had Lower HbA1C, hemoglobin and elevated level of urea as compared to group:1 (p=0.002,<0.0001 respectively). All-cause mortality had trend forbeing higher (6.3 vs. 19%) in group:2, but statistically non-significant (p = 0.17). Lower baseline LVEF (39 ± 10.08%) across the cohort was independent predictor of higher risk for HHF. eGFR <36.25 mL/mim/1.73 m2 was the most robust predictor of MACE, carrying a 3-fold increase in risk of 4-P MACE with significant association (0.69, CI 0.59 to 0.78, p = 0.0009). CONCLUSIONS: Lower baseline eGFR was associated with higher incidence of 4 P MACE with best cut-off being eGFR <36.25 mL/min/1.73 m2. Lower Baseline LVEF was independent predictor from HHF across the cohort.
