Comparison of novel LDL cholesterol equations in myocardial infarction patients: Clinical impact on risk re-classification and lipid treatment goals on secondary prevention.

BACKGROUND AND AIMS: Numerous low-density lipoprotein (LDL) calculating equations for more accurate estimation have emerged. With the present study, we assessed the clinical impact of implementing novel equations in terms of risk reclassification and LDL treatment goals in myocardial infarction (MI) patients. METHODS: This was a post-hoc analysis of a prospective acute MI cohort study. We enrolled 805 consecutive patients presenting with acute MI. Patients with high triglyceride levels (>400 mg/dL) were excluded. In the remaining 773 acute MI patients, LDL cholesterol levels were calculated using 12 different equations including the Friedewald equation. Each patient was categorized into a 5-scale risk strata scheme according to baseline LDL cholesterol levels. Moreover, ΔLDL cholesterol (change in LDL cholesterol levels to achieve the <55 mg/dL LDL treatment goal) was calculated for each patient. RESULTS: Mean levels and distribution of LDL cholesterol were significantly different compared to those derived from the Friedewald equation. Net reclassification improvement (NRI) analysis, as well as heat maps, showed that this re-categorization had no significant impact on prognostic terms (NRI ranged from -6.1% to 5.9% with p values > 0.05 for each comparison). Statistically significant differences were observed in ΔLDL cholesterol levels between each one of the novel equations and the Friedewald equation. CONCLUSIONS: Novel LDL cholesterol calculating equations are not associated with a clinically significant risk re-classification in MI patients. In addition, use of these novel equations may have an impact on assessing potency of hypolipidemic therapy use in secondary prevention as far as succeeding lipid treatment goals in MI patients.

Application of 17 Contrast-Induced Acute Kidney Injury Risk Prediction Models.

INTRODUCTION: Contrast-induced acute kidney injury (CI-AKI) is a frequent complication of percutaneous coronary interventions (PCI). Various groups have developed and validated risk scores for CI-AKI. Although the majority of these risk scores achieve an adequate accuracy, their usability in clinical practice is limited and greatly debated. OBJECTIVE: With the present study, we aimed to prospectively assess the diagnostic performance of recently published CI-AKI risk scores (up to 2018) in a cohort of patients undergoing PCI. METHODS: We enrolled 1,247 consecutive patients (80% men, mean age 62 ± 10 years) treated with elective or urgent PCI. For each patient, we calculated the individual CI-AKI risk score based on 17 different risk models. CI-AKI was defined as an increase of ≥25% (liberal) or ≥0.5 mg/dL (strict) in pre-PCI serum creatinine 48 h after PCI. RESULTS: CI-AKI definition and, therefore, CI-AKI incidence have a significant impact on risk model performance (median negative predictive value increased from 85 to 99%; median c-statistic increased from 0.516 to 0.603 using more strict definition criteria). All of the 17 published models were characterized by a weak-to-moderate discriminating ability mainly based on the identification of "true-negative" cases (median positive predictive value 19% with liberal criterion and 3% with strict criterion). In none of the models, c-statistic was >0.800 with either CI-AKI definition. Novel, different combinations of the >35 independent variables used in the published models either by down- or by up-scaling did not result in significant improvement in predictive performance. CONCLUSIONS: The predictive ability of all models was similar and only modest, derived mainly by identifying true-negative cases. A new approach is probably needed by adding novel markers or periprocedural characteristics.

Long-term impact of acute kidney injury on prognosis in patients with acute myocardial infarction.

BACKGROUND: Little evidence exists regarding the long-term impact of acute kidney injury (AKI) during index hospitalisation for acute myocardial infarction (AMI). We prospectively assessed the long-term prognostic significance of the occurrence of in-hospital AKI in a multicentre cohort of patients admitted with AMI. METHODS: Data were obtained from 518 AMI patients with a median follow-up of 5.6 (IQR 4.6-6.5) years. Patients were followed up regarding the occurrence of death, major adverse cardiovascular events (MACE), and any deterioration in kidney function. RESULTS: From the study cohort, 84 patients (16%) had developed AKI at discharge during index hospitalisation. 96 patients died during follow-up, MACE occurred in 90 patients, and 30 patients showed evidence of deterioration in kidney function. Patients with AKI at hospital discharge had a three-fold increased mortality risk (HR 3.2, 95% CI 2.1-4.8; P < 0.001). This association was independent of possible confounding by variables that could influence prognosis (HR 1.9 95% CI 1.1-3.2; P = 0.028) evident only up to three years during follow-up. During long-term follow-up, patients with AKI during their index hospitalisation had a significantly (P = 0.027) higher incidence of MACE (26%) than those who did not develop AKI (15%). Patients with AKI had a higher incidence of deteriorating kidney function (10%) than those without AKI (5%) during follow-up, but this difference was not significant (P = 0.124). CONCLUSIONS: Our findings emphasise in addition to the need for appropriate long term follow-up in such patients, an increased mortality and morbidity during the first three years after the index event.