UC San Diego

Multiple lines of evidence confirm that the cumulative burden of low-density lipoprotein cholesterol (LDL-C) is causally related to the development of atherosclerotic cardiovascular disease (ASCVD). As such, lowering LDL-C is a central tenet in all ASCVD prevention guidelines, which recommend matching the intensity of LDL-C lowering with the absolute risk of the patient. Unfortunately, issues such as difficulty with long-term adherence to statin therapy and inability to achieve desired LDL-C thresholds with statins alone results in residual elevated ASCVD risk. Non-statin therapies generally provide similar risk reduction per mmol/L of LDL-C reduction and are included by major society guidelines as part of the treatment algorithm for managing LDL-C. Per the 2022 American College of Cardiology Expert Consensus Decision Pathway, patients with ASCVD are recommended to achieve both an LDL-C reduction ≥50% and an LDL-C threshold of <55 mg/dL in patients at very high-risk and <70 mg/dL in those not at very high risk. Patients with familial hypercholesterolemia (FH) but without ASCVD should lower LDL-C to <100 mg/dL. For patients who remain above LDL-C thresholds with maximally tolerated statin therapy plus lifestyle changes, non-statin therapy warrants strong consideration. While several non-statin therapies have been granted FDA approval for managing hypercholesterolemia (eg, ezetimibe, Proprotein Convertase Subtilisin/Kexin 9 [PCSK9] monoclonal antibodies, and bempedoic acid), the focus of the current review is on inclisiran, a novel small interfering RNA therapy that inhibits the production of the PCSK9 protein. Inclisiran is currently FDA approved as an adjunct to statin therapy in patients with clinical ASCVD or heterozygous FH who require additional LDL-lowering. The drug is administered by subcutaneous injection twice a year, after an initial baseline and 3 month dose. In this review, we sought to provide an overview of the use of inclisiran, review current trial data, and outline an approach to potential patient selection.