A predictive model of pcsk-9 inhibitors eligibility in coronary and dyslipidemic patients

Abstract

Abstract Purpose Dyslipidemia is a major cardiovascular risk factor and treatment is mostly based on statins and ezetimibe. PCSK-9 inhibitors are monoclonal antibodies that reduce LDL-c levels and have shown significant reduction of cardiovascular risk in high risk patients. Data regarding potential eligibility for PCSK-9, is limited especially when referring to the recent guidelines. Methods Eligibility was calculated using a proprietary adjustable software, which stores data and patient information and thus by using different criteria it can determine potential candidates for PCSK-9 inhibitors. For this purpose, 2000 patients were enrolled prospectively. Our study population was comprised of inpatients diagnosed either with acute coronary syndromes (ACS) or with chronic coronary disease (cCAD) and outpatients from Lipids' Clinic (OLC) (n=407, n=1087, n=506, respectively). In order to test eligibility, three different LDL thresholds were used in our model for high and very high risk groups: a) 70mg/dl and 55mg/dl, respectively, as recommended by the recently updated 2019 ESC/EAS Guidelines for Dyslipidaemia b) 100mg/dl and 70mg/dl, respectively, as recommended by the 2016 ESC/EAS Guidelines for Dyslipidaemias and c) 130mg/dl and 100mg/dl respectively, as mandated by our National Health Care system but also applicable in other countries. Results The eligible percentages for the three thresholds were 18.85%, 9.75% and 2.15%, in the total population (TP) respectively and it varied according to clinical status. Subgroup analysis of eligible population revealed the trends in each group (Figure 1). The increase toward more recent guidelines was mostly attributed to the increasing number of coronary patients who become eligible as our criteria become stricter. Conclusions Our predictive model provides a realistic estimation of PCSK-9 inhibitors potential eligibility in coronary and dyslipidaemic patients and thus it can become a useful tool for the use of PCSK-9 in health care systems. Figure 1 Funding Acknowledgement Type of funding source: Private company. Main funding source(s): Amgen Hellas LTD