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Journal of Managed Care Pharmacy | 2016

A Systematic Review of PCSK9 Inhibitors Alirocumab and Evolocumab.

Marian McDonagh; Kim Peterson; Brittany Holzhammer; Sergio Fazio

BACKGROUND The proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors are a new class of cholesterol-lowering medications that provide significant reductions in lipids but at a large cost relative to statins. With 2 such drugs now on the market, alirocumab and evolocumab, comparing the evidence base for these drugs is necessary for informed decision making. OBJECTIVE To compare the benefits and harms of the PCSK9 inhibitors alirocumab and evolocumab. METHODS The databases Ovid MEDLINE, Cochrane Library, SCOPUS, and ClinicalTrials.gov were used to search for randomized controlled trials of alirocumab or evolocumab with any relevant comparator reporting health outcomes, lipid outcomes, or harms through September 2015, and information was requested from manufacturers. Results were reviewed according to standard review methods. RESULTS The database searches revealed 17 fair- and good-quality trials; however, none had primary health outcomes or directly compared PCSK9 inhibitors. Alirocumab (75 mg to 150 mg subcutaneously every 2 weeks) resulted in significantly greater reductions in low-density lipoprotein cholesterol (LDL-C; -8% to -67%) at 12-24 weeks in patients with (a) heterozygous familial hypercholesterolemia and (b) patients at high or varied cardiovascular (CV) risk who were not at LDL-C goals with statin therapy. The highest strength evidence was for patients with high CV risk not at LDL-C goals. Alirocumab also resulted in high-density lipoprotein cholesterol (HDL-C) increases of 6%-12%. Low- and moderate-strength evidence for adjudicated CV events at 52-78 weeks for a priori analyses indicated no benefit. Low- and moderate-strength evidence also found no differences in harms except possibly slightly more injection-site reactions. Evolocumab (120 mg subcutaneously every 2 weeks to 420 mg every 4 weeks) resulted in significantly greater reductions in LDL-C (-32% to -71%) at 12-52 weeks in patients with heterozygous or homozygous familial hypercholesterolemia, patients intolerant of statins, and patients with varied CV risk not at LDL-C goal with statin therapy. The highest strength evidence was for heterozygous familial hypercholesterolemia and patients not at LDL-C goals. Moderate-strength evidence showed HDL-C increases in the range of 4.5%-6.8%. Harms were not different between groups, except possibly slightly greater overall adverse event reporting. Evidence on adjudicated CV outcomes was insufficient to draw conclusions because of sparseness of events, study limitations, and inability to assess consistency of findings. CONCLUSIONS Alirocumab and evolocumab have evidence of large improvements in lipid levels. The strength of the evidence is greater for alirocumab than evolocumab in patients with high CV risk who were not at LDL-C target goals, while evidence for evolocumab is stronger in patients with heterogeneous familial hypercholesterolemia and patients with varied CV risk who were not at LDL-C target goals. Evidence on adjudicated CV outcomes for a priori analyses is unable to show benefit for alirocumab and is insufficient to draw conclusions for evolocumab. Important questions remain about the comparative effects on long-term health outcomes. DISCLOSURES This project was funded by The Drug Effectiveness Review Project. Project participants reviewed the manuscript but had no role in conducting the work or writing the manuscript. Any comments received from the participants during the course of the review were taken at the discretion of the authors independently. All authors had access to the data and a role in writing the manuscript. McDonagh, Peterson, and Holzhammer declare no conflict of interest or financial interest in any therapy discussed in this article. Fazio declares receiving compensation from Sanofi for a presentation on his science to a group of their advisors and has served as a consultant to MSD, BASF, NHP, Sanofi, Ionis Pharmaceuticals, and Kowa. Study concept and design were primarily contributed by McDonagh, along with Peterson and Holzhammer, with assistance from Fazio. Holzhammer took the lead in data collection, with assistance from McDonagh and Peterson. Data interpretation was performed by McDonagh, Peterson, and Fazio. The manuscript was written by McDonagh, Peterson, and Fazio, with assistance from Holzhammer, and revised by all the authors.


Series:AHRQ Comparative Effectiveness Reviews | 2016

Improving Antibiotic Prescribing for Uncomplicated Acute Respiratory Tract Infections

Marian McDonagh; Kim Peterson; Kevin L. Winthrop; Amy Cantor; Brittany Holzhammer; David I Buckley


Archive | 2016

Quality Assessment of Randomized Controlled Trials

Marian McDonagh; Kim Peterson; Kevin L. Winthrop; Amy Cantor; Brittany Holzhammer; David I Buckley


Archive | 2016

Abbreviations Used in Evidence Tables

Marian McDonagh; Kim Peterson; Kevin L. Winthrop; Amy Cantor; Brittany Holzhammer; David I Buckley


Archive | 2016

Quality Assessment of Observational Studies

Marian McDonagh; Kim Peterson; Kevin L. Winthrop; Amy Cantor; Brittany Holzhammer; David I Buckley


Archive | 2016

Data Abstraction of Observational Studies

Marian McDonagh; Kim Peterson; Kevin L. Winthrop; Amy Cantor; Brittany Holzhammer; David I Buckley


Archive | 2016

Table 20, Interventions with evidence for improving or reducing antibiotic prescribing in acute RTI and of not causing adverse consequences

Marian McDonagh; Kim Peterson; Kevin L. Winthrop; Amy Cantor; Brittany Holzhammer; David I Buckley


Archive | 2016

Figure 1, Analytic framework for improving appropriate antibiotic use for acute respiratory tract infections

Marian McDonagh; Kim Peterson; Kevin L. Winthrop; Amy Cantor; Brittany Holzhammer; David I Buckley


Archive | 2016

Quality Assessment of Systematic Reviews

Marian McDonagh; Kim Peterson; Kevin L. Winthrop; Amy Cantor; Brittany Holzhammer; David I Buckley


Archive | 2016

Table 12, Comparison of overall antibiotic prescription rates from Happy Audit studies: Proportions of patients

Marian McDonagh; Kim Peterson; Kevin L. Winthrop; Amy Cantor; Brittany Holzhammer; David I Buckley

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