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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">648244</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2021.648244</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Cost-Effectiveness of Alirocumab for the Secondary Prevention of Cardiovascular Events after Myocardial Infarction in the Chinese Setting</article-title>
<alt-title alt-title-type="left-running-head">Liang et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Cost-Effectiveness of Alirocumab in China</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Liang</surname>
<given-names>Zhe</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Qi</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wei</surname>
<given-names>Ruiqi</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ma</surname>
<given-names>Chenyao</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Xuehui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Xue</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Fang</surname>
<given-names>Fang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhao</surname>
<given-names>Quanming</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1186212/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>Department of Sleep Medical Center, Beijing Anzhen Hospital, Capital Medical University, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>Department of Pulmonary and Critical Care Medicine, Beijing Anzhen Hospital, Capital Medical University, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<label>
<sup>4</sup>
</label>Department of Ultrasound, Beijing Ditan Hospital, Capital Medical University, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/43810/overview">Domenico Criscuolo</ext-link>, Italian Society of Pharmaceutical Medicine, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/555735/overview">Roberto Massimo Carlesi</ext-link>, Independent Researcher, Bellagio, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/538589/overview">Kurt Neumann</ext-link>, Independent Researcher, Ker&#xe9;kteleki, Hungary</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Fang Fang, <email>fangfang_ff@hotmail.com</email>; Quanming Zhao, <email>zhaoquanming1@sina.com</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Pharmaceutical Medicine and Outcomes Research, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>04</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>648244</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>01</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>02</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Liang, Chen, Wei, Ma, Zhang, Chen, Fang and Zhao.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Liang, Chen, Wei, Ma, Zhang, Chen, Fang and Zhao</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Background:</bold> Proprotein convertase subtilisin/kexin type 9 inhibitor alirocumab reduce ischemic events; however, the cost-effectiveness remains uncertain. This study sought to evaluate its economic value in patients with myocardial infarction (MI) from the Chinese healthcare perspective.</p>
<p>
<bold>Methods:</bold> A state-transition Markov model was developed to determine the cost-effectiveness of alirocumab for preventing recurrent MI, ischemic stroke and death. Preventative effect of the therapy was gathered from ODYSSEY OUTCOMES trial and absolute reduction of low-density lipoprotein cholesterol (LDL-C) in ODYSSEY EAST trial, respectively. The primary outcome was the incremental cost-effectiveness ratio (ICER), defined as incremental cost per quality-adjusted life-year (QALY) gained.</p>
<p>
<bold>Results:</bold> Compared with statin monotherapy, the ICER of alirocumab therapy at its present discounted price [34,355 Chinese yuan (CNY) annually, 33% rebate] based on clinical follow-up efficacy was 1,613,997 CNY per QALY gained. A willingness-to-pay threshold of 212,676 CNY per QALY would be achieved when the annual cost of alirocumab was reduced by 88% from the full official price to 6071 CNY. The therapeutic effect evaluation estimated by the magnitude of LDL-C reduction was superior to the results of clinical follow-up, but this medication was still far from cost-effective. Multiple vulnerable subgroup analyses demonstrated that the ICER for patients with polyvascular disease in 3 vascular beds was 111,750 CNY per QALY gained.</p>
<p>
<bold>Conclusion:</bold> Alirocumab is not cost-effective in general MI population based on current discounted price. High long-term costs of alirocumab may be offset by health benefit in patients with polyvascular disease (3 beds).</p>
</abstract>
<kwd-group>
<kwd>alirocumab</kwd>
<kwd>cost-effectiveness</kwd>
<kwd>myocardial infarction</kwd>
<kwd>PCSK9 inhibitors</kwd>
<kwd>secondary prevention</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Cardiovascular disease (CVD) plays an increasing role in years of life lost currently, accounting for 40% of deaths in the Chinese population (<xref ref-type="bibr" rid="B37">Zhao et&#x20;al., 2019</xref>). Low-density lipoprotein cholesterol (LDL-C) is a modifiable risk factor for CVD and the effective reduction of LDL-C benefit cardiovascular events (<xref ref-type="bibr" rid="B31">Stevens et&#x20;al., 2016</xref>). High-intensity or maximally tolerated lipid-lowering therapy, especially in high-risk myocardial infarction (MI) individuals, is recommended in recent guidelines for lipid management (<xref ref-type="bibr" rid="B21">Mach et&#x20;al., 2020</xref>).</p>
<p>In daily clinical practice, approximately 82.9% of MI patients, from a nationwide Swedish survey, would be eligible for intensive lipid-lowering therapy as not attaining the updated target of LDL-C level (<xref ref-type="bibr" rid="B1">Allahyari et&#x20;al., 2020</xref>) which partly attributes to inefficiency, intolerance and non-adherence of statins (<xref ref-type="bibr" rid="B29">Soran et&#x20;al., 2020</xref>). Innovation in the field of hyperlipemia sheds light on unmet needs. Alirocumab is a fully human monoclonal antibody biological medication that inhibits proprotein convertase subtilisin/kexin type 9 (PCSK9). It has showed powerful effect and safety in lipid-lowering and cardiovascular outcomes improvement in patients with heterozygous familial hypercholesterolemia (HeFH) or high cardiovascular risk (<xref ref-type="bibr" rid="B14">Kastelein et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B8">Farnier et&#x20;al., 2016</xref>). In 2020, alirocumab was approved in priority by Chinese National Medical Products Administration based on Alirocumab and Cardiovascular Outcomes after Acute Coronary Syndrome (ODYSSEY OUTCOMES) trial (<xref ref-type="bibr" rid="B28">Schwartz et&#x20;al., 2018</xref>). This landmark trial demonstrated that the risk of composite primary endpoints reduced by 15% among patients with previous acute coronary syndrome in alirocumab therapy compared with placebo.</p>
<p>Accurate economic evaluation of new therapy is available and necessary to make certain the treatment effect and potential tradeoffs among therapies after the results of the related large randomized controlled trials are released together with the price determined in healthcare system. Although the economic value of alirocumab is inconsistent in the published papers from American groups, substantial price reduction would definitely improve cost-effectiveness regardless of simulated methods (<xref ref-type="bibr" rid="B15">Kazi et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B16">Kazi et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B3">Bhatt et&#x20;al., 2020</xref>). In consideration of the gap in healthcare system and economic status between US and China, there may be divergence in the aspect of cost-effectiveness of alirocumab in Chinese patients. Therefore, this study aimed to assess the value of alirocumab in clinical MI cohort under a long-term cost-effectiveness analysis from the Chinese healthcare perspective, which may guide policymakers, payers, clinicians and patients to have more precise price expectations. At the same time, high-risk subgroups were further screened to maximize the application value of alirocumab. This study is the continued section of our previous work (<xref ref-type="bibr" rid="B20">Liang et&#x20;al., 2020</xref>).</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec id="s2-1">
<title>Model Overview</title>
<p>We established a state-transition Markov model to assess the economic value of alirocumab within established MI population (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>). After a discharge of MI, patients entered the model as an initial event-free state, and the entire cohort was redistributed across states in every 1-year cycle. The model included mutually exclusive health states (non-fatal MI, non-fatal ischemic stroke [IS] and death). The major side effect (local injection-site reaction) was incorporated into the model. The time frame was 25&#xa0;years in basic analysis to take the majority of Chinese old patients into consideration. Half-cycle correction was used for all events in every&#x20;year.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Markov state-transition model with health states and possible transitions. Patients could stay in their original state or convert to another state in each cycle. Major side effect was mainly defined as mild injection-site adverse reaction, which may occur at any time. IS, ischemic stroke; MI, myocardial infarction.</p>
</caption>
<graphic xlink:href="fphar-12-648244-g001.tif"/>
</fig>
<p>Alirocumab plus statin therapy (high-intensity or maximally tolerated) vs. statin monotherapy were projected through accrued simulation. The incremental cost-effectiveness ratio (ICER), a primary outcome, was calculated by incremental cost per quality-adjusted life-years (QALYs) gained. We assumed the cost-effectiveness threshold as 212,676 Chinese Yuan (CNY, 1 CNY &#x3d; 0.1450 USD in 2019 (<xref ref-type="bibr" rid="B24">National Bureau of Statistics of China, 2019a</xref>)), which was three times of per capita gross domestic product (GDP) in 2019 (<xref ref-type="bibr" rid="B24">National Bureau of Statistics of China, 2019a</xref>), based on the China Guidelines for Pharmacoeconomic Evaluations (<xref ref-type="bibr" rid="B35">Wu et&#x20;al., 2015</xref>).</p>
</sec>
<sec id="s2-2">
<title>Target Population</title>
<p>A representative real-world cohort with established MI was modeled to reflect the Chinese high-risk CVD population. Patients were selected from the China PEACE Prospective AMI study (China Patient-centered Evaluative Assessment of Cardiac Events Prospective Study of Acute Myocardial Infarction) (<xref ref-type="bibr" rid="B7">Dreyer et&#x20;al., 2019</xref>), the first large clinical outcomes study in MI population in China. A total of 3,415 patients with AMI were recruited from 53 hospitals located in 21 of 31 provinces. During the one-year follow-up period, main clinical outcomes contained non-fatal MI (1.7%), non-fatal IS (0.9%), cardiovascular death (2.2%) and all-cause death (3.1%). More detailed characteristics of this target population are showed in <xref ref-type="sec" rid="s10">Supplementary Table&#x20;S1</xref>.</p>
</sec>
<sec id="s2-3">
<title>Therapeutic Effect and Event Rates</title>
<p>The effect of alirocumab has been much-discussed in previous research literatures. We aimed to use two approaches to incorporate the efficacy of alirocumab in this health economic model (<xref ref-type="table" rid="T1">Table&#x20;1</xref>). One was applying the hazard ratios (HRs) observed in ODYSSEY OUTCOMES (<xref ref-type="bibr" rid="B28">Schwartz et&#x20;al., 2018</xref>) to all population directly, taking no account of LDL-C levels, which was preferred assumption in evidence-based intervention and most economic evaluations. To model the effect of alirocumab on non-fatal IS, we used outcome data from ODYSSEY OUTCOMES for an end point defined as &#x201c;fatal or non-fatal IS.&#x201d; We assumed that the reduction of all-cause mortality was mediated through the reduction in the cardiovascular death risk. The other was integrating more specific lipid-lowering efficacy of the PCSK9 inhibitor in Chinese population observed in ODYSSEY EAST study (<xref ref-type="bibr" rid="B10">Han et&#x20;al., 2020</xref>) with its estimated effect on major adverse cardiovascular events (MACEs) based on a Cholesterol Treatment Trialists&#x2019; Collaboration (CTTC) meta-analysis of statins trials (<xref ref-type="bibr" rid="B2">Baigent et&#x20;al., 2010</xref>), which was also suitable for other medications such as ezetimibe and PCSK9 inhibitors.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Key input parameters.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Input</th>
<th align="left">Base-case value</th>
<th align="center">Range</th>
<th align="center">Distribution</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="5" align="left">Population event rates, %</td>
</tr>
<tr>
<td align="left">&#x2003;Non-fatal MI</td>
<td align="center">1.7</td>
<td align="center">Age dependent</td>
<td align="center">NA</td>
<td align="left">
<xref ref-type="bibr" rid="B7">Dreyer et&#x20;al. (2019)</xref>, <xref ref-type="bibr" rid="B25">National Health Commission of the People&#x2019;s Republic of China (2019)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Non-fatal IS</td>
<td align="center">0.9</td>
<td align="center">Age dependent</td>
<td align="center">NA</td>
<td align="left">
<xref ref-type="bibr" rid="B7">Dreyer et&#x20;al. (2019)</xref>, <xref ref-type="bibr" rid="B25">National Health Commission of the People&#x2019;s Republic of China (2019)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Cardiovascular death</td>
<td align="center">2.2</td>
<td align="center">Age dependent</td>
<td align="center">NA</td>
<td align="left">
<xref ref-type="bibr" rid="B7">Dreyer et&#x20;al. (2019)</xref>, <xref ref-type="bibr" rid="B25">National Health Commission of the People&#x2019;s Republic of China (2019)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Non-cardiovascular death</td>
<td align="center">0.9</td>
<td align="center">Age dependent</td>
<td align="center">NA</td>
<td align="left">
<xref ref-type="bibr" rid="B7">Dreyer et&#x20;al. (2019)</xref>, <xref ref-type="bibr" rid="B25">National Health Commission of the People&#x2019;s Republic of China (2019)</xref>
</td>
</tr>
<tr>
<td colspan="5" align="left">Therapeutic effect based on clinical endpoints, HR</td>
</tr>
<tr>
<td align="left">&#x2003;Non-fatal MI</td>
<td align="center">0.86</td>
<td align="center">0.77&#x2013;0.96</td>
<td align="center">Log normal</td>
<td align="left">
<xref ref-type="bibr" rid="B28">Schwartz et&#x20;al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Non-fatal IS</td>
<td align="center">0.73</td>
<td align="center">0.57&#x2013;0.93</td>
<td align="center">Log normal</td>
<td align="left">
<xref ref-type="bibr" rid="B28">Schwartz et&#x20;al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Cardiovascular death</td>
<td align="center">0.88</td>
<td align="center">0.74&#x2013;1.05<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="center">Log normal</td>
<td align="left">
<xref ref-type="bibr" rid="B28">Schwartz et&#x20;al. (2018)</xref>
</td>
</tr>
<tr>
<td colspan="5" align="left">Therapeutic effect based on LDL-C reduction, RR</td>
</tr>
<tr>
<td align="left">&#x2003;Non-fatal MI</td>
<td align="center">0.57</td>
<td align="center">0.53&#x2013;0.63</td>
<td align="center">Log normal</td>
<td align="left">
<xref ref-type="bibr" rid="B10">Han et&#x20;al. (2020)</xref>, <xref ref-type="bibr" rid="B2">Baigent et&#x20;al. (2010)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Non-fatal IS</td>
<td align="center">0.66</td>
<td align="center">0.59&#x2013;0.75</td>
<td align="center">Log normal</td>
<td align="left">
<xref ref-type="bibr" rid="B10">Han et&#x20;al. (2020)</xref>, <xref ref-type="bibr" rid="B2">Baigent et&#x20;al. (2010)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Cardiovascular death</td>
<td align="center">0.77</td>
<td align="center">0.71&#x2013;0.83</td>
<td align="center">Log normal</td>
<td align="left">
<xref ref-type="bibr" rid="B10">Han et&#x20;al. (2020)</xref>, <xref ref-type="bibr" rid="B2">Baigent et&#x20;al. (2010)</xref>
</td>
</tr>
<tr>
<td colspan="5" align="left">Annual cost of drugs, CNY</td>
</tr>
<tr>
<td align="left">&#x2003;Alirocumab</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Full list price</td>
<td align="center">51,532</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="left">Calculated</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Discounted net price</td>
<td align="center">34,355</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="left">Calculated</td>
</tr>
<tr>
<td align="left">&#x2003;Ezetimibe</td>
<td align="center">2,827</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="left">Calculated</td>
</tr>
<tr>
<td colspan="5" align="left">Cost of cardiovascular events, CNY<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Initial event-free</td>
<td align="center">8,344</td>
<td align="center">6,258&#x2013;10,430</td>
<td align="center">Log normal</td>
<td align="left">
<xref ref-type="bibr" rid="B9">Fu et&#x20;al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Non-fatal MI</td>
<td align="center">71,030</td>
<td align="center">53,272&#x2013;88,787</td>
<td align="center">Log normal</td>
<td align="left">
<xref ref-type="bibr" rid="B33">Wang et&#x20;al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Post-MI</td>
<td align="center">8,344</td>
<td align="center">6,258&#x2013;10,430</td>
<td align="center">Log normal</td>
<td align="left">
<xref ref-type="bibr" rid="B9">Fu et&#x20;al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Non-fatal IS</td>
<td align="center">22,342</td>
<td align="center">16,756&#x2013;27,927</td>
<td align="center">Log normal</td>
<td align="left">
<xref ref-type="bibr" rid="B36">Yin et&#x20;al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Post-IS</td>
<td align="center">8,463</td>
<td align="center">6,347&#x2013;10,578</td>
<td align="center">Log normal</td>
<td align="left">
<xref ref-type="bibr" rid="B9">Fu et&#x20;al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Death due to MI</td>
<td align="center">87,756</td>
<td align="center">65,817&#x2013;109,695</td>
<td align="center">Log normal</td>
<td align="left">
<xref ref-type="bibr" rid="B33">Wang et&#x20;al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Death due to stroke</td>
<td align="center">59,025</td>
<td align="center">44,269&#x2013;73,781</td>
<td align="center">Log normal</td>
<td align="left">
<xref ref-type="bibr" rid="B36">Yin et&#x20;al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Cardiovascular death<xref ref-type="table-fn" rid="Tfn3">
<sup>c</sup>
</xref>
</td>
<td align="center">77,811</td>
<td align="center">58,358&#x2013;97,263</td>
<td align="center">Log normal</td>
<td align="left">
<xref ref-type="bibr" rid="B33">Wang et&#x20;al. (2015)</xref>, <xref ref-type="bibr" rid="B36">Yin et&#x20;al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Non-cardiovascular death</td>
<td align="center">0</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="left">NA</td>
</tr>
<tr>
<td colspan="5" align="left">Quality of life<xref ref-type="table-fn" rid="Tfn4">
<sup>d</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Initial event-free</td>
<td align="center">0.824</td>
<td align="center">0.800&#x2013;0.848</td>
<td align="center">&#x3b2;</td>
<td align="left">
<xref ref-type="bibr" rid="B22">Matza et&#x20;al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Non-fatal MI</td>
<td align="center">0.672</td>
<td align="center">0.625&#x2013;0.719</td>
<td align="center">&#x3b2;</td>
<td align="left">
<xref ref-type="bibr" rid="B22">Matza et&#x20;al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Post-MI</td>
<td align="center">0.824</td>
<td align="center">0.800&#x2013;0.848</td>
<td align="center">&#x3b2;</td>
<td align="left">
<xref ref-type="bibr" rid="B22">Matza et&#x20;al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Non-fatal IS</td>
<td align="center">0.327</td>
<td align="center">0.264&#x2013;0.390</td>
<td align="center">&#x3b2;</td>
<td align="left">
<xref ref-type="bibr" rid="B22">Matza et&#x20;al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Post-IS</td>
<td align="center">0.524</td>
<td align="center">0.472&#x2013;0.576</td>
<td align="center">&#x3b2;</td>
<td align="left">
<xref ref-type="bibr" rid="B22">Matza et&#x20;al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Injection site adverse reactions</td>
<td align="center">&#x2212;0.0003</td>
<td align="center">&#x2212;0.002-0</td>
<td align="center">&#x3b2;</td>
<td align="left">
<xref ref-type="bibr" rid="B17">Khazeni et&#x20;al. (2009)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CNY, Chinese Yuan; HR, hazard ratio; IS, ischemic stroke; LDL-C, low-density lipoprotein cholesterol; MI, myocardial infarction; NA, not applicable; RR, relative&#x20;risk.</p>
</fn>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>There was numerical but not significant reduction in cardiovascular mortality.</p>
</fn>
<fn id="Tfn2">
<label>
<sup>b</sup>
</label>
<p>All costs varied by&#x20;&#xb1; 25% in the sensitivity analysis because confidence intervals were not available from the primary data sources and are presented in 2019 CNY.</p>
</fn>
<fn id="Tfn3">
<label>
<sup>c</sup>
</label>
<p>Cost of cardiovascular death was the weighted average cost of fatal MI and fatal stroke.</p>
</fn>
<fn id="Tfn4">
<label>
<sup>d</sup>
</label>
<p>Utility values varied by 95% confidence intervals in the sensitivity analysis.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>We assumed that the initial conversion probabilities above were applied to the first year and increased in every succedent 5&#xa0;years in line with the growth rates of real-time natural mortalities in all age groups in China Health Statistics Yearbook (<xref ref-type="bibr" rid="B25">National Health Commission of the People&#x2019;s Republic of China, 2019</xref>). All 25-years event rates in the basic analysis are listed in <xref ref-type="sec" rid="s10">Supplementary Table&#x20;S2</xref>.</p>
</sec>
<sec id="s2-4">
<title>Costs and Utilities</title>
<p>The setting of this economic evaluation was based on Chinese healthcare sector. The direct costs associated with MACEs and subsequent chronic treatment, including initial event-free state, were obtained from previous literatures (<xref ref-type="bibr" rid="B33">Wang et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B36">Yin et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B9">Fu et&#x20;al., 2020</xref>) and adjusted for inflation to 2019 (<xref ref-type="bibr" rid="B23">National Bureau of Statistics of China, 2019b</xref>) (<xref ref-type="table" rid="T1">Table&#x20;1</xref>).</p>
<p>Currently, public and private medical insurances do not cover PCSK9 inhibitors. Following the usual therapeutic dose and frequency (75&#xa0;mg/2&#xa0;weeks), the annual official price of alirocumab was estimated to be 51,532 CNY per person. As the PCSK9 inhibitor manufacturers had offered an average rebate of 33% since April 2020, main base case analysis was performed for discounted net price of alirocumab in 34,355 CNY annually. We also calculated the average bidding price of ezetimibe (10&#xa0;mg), equally 2827 CNY per year, for scenario analyses.</p>
<p>Quality-of-life (QOL) estimates for health states were derived from a time tradeoff study (<xref ref-type="bibr" rid="B22">Matza et&#x20;al., 2015</xref>). The discrepancy of mild injection-site adverse reaction (3.8% in alirocumab vs. 2.1% in placebo) was taken into account with a small penalty in QOL (<xref ref-type="bibr" rid="B17">Khazeni et&#x20;al., 2009</xref>) and there was no increase in costs or therapy discontinuation. Future costs and QOL were discounted at 5.0% per year (<xref ref-type="bibr" rid="B35">Wu et&#x20;al., 2015</xref>).</p>
</sec>
<sec id="s2-5">
<title>Sensitivity Analyses</title>
<p>In one-way sensitivity analyses, we varied single input through plausible range (e.g., 95% confidence interval [CI]) (<xref ref-type="table" rid="T1">Table&#x20;1</xref>), while holding others at their base case values to search for key determinants to the ICERs. In probabilistic sensitivity analyses, multiple input parameters were randomly selected according to their pre-specified statistical distributions and generated 10,000 individual outputs surrounding the mean point estimate. The percentages of simulations falling below various willingness-to-pay (WTP) thresholds were drawn as cost-effectiveness acceptability curves.</p>
</sec>
<sec id="s2-6">
<title>Scenario Analyses</title>
<p>Based on the ODYSSEY OUTCOMES trial, we made different hypothesis about effect of alirocumab. The efficacy of alirocumab on all-cause death (HR: 0.85; 95% CI: 0.73&#x2013;0.98) was applied instead of the efficacy of alirocumab just on cardiovascular death in the base case. We modeled ezetimibe vs. alirocumab based on statin therapy. The efficacy of ezetimibe was modeled according to the IMPROVE-IT trial (<xref ref-type="bibr" rid="B4">Cannon et&#x20;al., 2015</xref>) and the decrease of LDL-C (<xref ref-type="bibr" rid="B2">Baigent et&#x20;al., 2010</xref>).</p>
<p>A range of scenario analyses were performed in high-risk subgroups to identify preferred candidates for the PCSK9 inhibitor. Women in China had higher all-cause/cardiovascular mortalities vs. men at 1-year post-MI (<xref ref-type="bibr" rid="B7">Dreyer et&#x20;al., 2019</xref>), so we explored the value of alirocumab in female population. We involved poorly controlled FH patients after MI and assumed that the risk of MACEs was 2.3&#x20;times than those without FH (<xref ref-type="bibr" rid="B34">Wang et&#x20;al., 2019</xref>). Meanwhile, a maximal reduction in risk of MACEs was modeled by the absolute change of LDL-C (<xref ref-type="bibr" rid="B2">Baigent et&#x20;al., 2010</xref>). We also focused on patients with polyvascular disease in 3 vascular beds (MI with both peripheral artery disease and cerebrovascular disease) (<xref ref-type="bibr" rid="B32">Subherwal et&#x20;al., 2012</xref>). In the ODYSSEY OUTCOMES research, a more pronounced absolute risk reduction was observed in patients with polyvascular disease than monovascular disease (<xref ref-type="bibr" rid="B13">Jukema et&#x20;al., 2019</xref>). As the traditional risk factors for adverse events, cost-effectiveness of alirocumab were calculated in pre-existing diabetes mellitus (DM) (<xref ref-type="bibr" rid="B19">Li et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B38">Zhuo et&#x20;al., 2019</xref>) and hypertension population (<xref ref-type="bibr" rid="B5">Chen et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B6">De Luca et&#x20;al., 2014</xref>) with MI, respectively. Other scenario analyses were also performed, including initiating treatment among patients in different ages, varying the duration of alirocumab use between 5 and 30&#xa0;years and applying various discount rates to the&#x20;model.</p>
<p>We conducted all these analyses in disparate prices of alirocumab and simulation ways, if feasible, and key parameters are showed in <xref ref-type="sec" rid="s10">Supplementary Table&#x20;S3</xref>.</p>
<p>The model was performed by using TreeAge Pro 2020 R1.1 software program (TreeAge Software, Williamstown, MA). We followed the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) guidelines (<xref ref-type="bibr" rid="B11">Husereau et&#x20;al., 2013</xref>) and the reporting checklist for economic evaluation of health interventions is showed in <xref ref-type="sec" rid="s10">Supplementary Table&#x20;S4</xref>.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Base Case Analysis</title>
<p>In the main result applying the HRs observed in ODYSSEY OUTCOMES to the model, mean costs would be 871,321 CNY with alirocumab added to statin therapy and 400,705 CNY with mere statin therapy. The clinical benefit of alirocumab were 0.29 gained QALYs. Compared with statin monotherapy, alirocumab at its present price (34,355 CNY, 33% rebate) was estimated to produce an ICER of 1,613,997 CNY per QALY gained (<xref ref-type="table" rid="T2">Table&#x20;2</xref>). If, instead, a full list price of alirocumab was used (51,532 CNY), the ICER would rise to 2,465,017 CNY per QALY. The conventional WTP threshold would be achieved when the annual cost of alirocumab was reduced by 88% from the full official price to 6071 CNY. Another indirect use of relative risks (RRs) hypothesis of LDL-C reduction with alirocumab yielded more optimistic ICER as 805,795 CNY per QALY based on discounted price of alirocumab accompanied with a net value-based price of 11,861 CNY per&#x20;year.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Base-case cost-effectiveness results.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Treatment strategy</th>
<th colspan="2" align="center">Cost, CNY</th>
<th colspan="2" align="center">QALY</th>
<th rowspan="2" align="center">ICER, CNY</th>
<th rowspan="2" align="center">VBP, CNY<xref ref-type="table-fn" rid="Tfn5">
<sup>a</sup>
</xref>
</th>
</tr>
<tr>
<th align="center">Total</th>
<th align="center">Incremental</th>
<th align="center">Total</th>
<th align="center">Incremental</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Discounted net price, therapeutic effect based on HRs of clinical endpoints</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Statins therapy alone</td>
<td align="center">400,705</td>
<td align="center">NA</td>
<td align="char" char=".">7.22</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="left">&#x2003;Alirocumab added to statins therapy</td>
<td align="center">871,321</td>
<td align="center">470,616</td>
<td align="char" char=".">7.51</td>
<td align="center">0.29</td>
<td align="center">1,613,997</td>
<td align="center">6,071</td>
</tr>
<tr>
<td align="left">Full list price, therapeutic effect based on HRs of clinical endpoints</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Statins therapy alone</td>
<td align="center">400,705</td>
<td align="center">NA</td>
<td align="char" char=".">7.22</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="left">&#x2003;Alirocumab added to statins therapy</td>
<td align="center">1,119,465</td>
<td align="center">718,760</td>
<td align="char" char=".">7.51</td>
<td align="center">0.29</td>
<td align="center">2,465,017</td>
<td align="center">6,071</td>
</tr>
<tr>
<td align="left">Discounted net price, therapeutic effect based on RRs of LDL-C reduction</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Statins therapy alone</td>
<td align="center">400,705</td>
<td align="center">NA</td>
<td align="char" char=".">7.22</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="left">&#x2003;Alirocumab added to statins therapy</td>
<td align="center">842,176</td>
<td align="center">441,471</td>
<td align="char" char=".">7.77</td>
<td align="center">0.55</td>
<td align="center">805,795</td>
<td align="center">11,861</td>
</tr>
<tr>
<td align="left">Full list price, therapeutic effect based on RRs of LDL-C reduction</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Statins therapy alone</td>
<td align="center">400,705</td>
<td align="center">NA</td>
<td align="char" char=".">7.22</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="left">&#x2003;Alirocumab added to statins therapy</td>
<td align="center">1,090,320</td>
<td align="center">689,615</td>
<td align="char" char=".">7.77</td>
<td align="center">0.55</td>
<td align="center">1,258,721</td>
<td align="center">11,861</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CNY, Chinese Yuan; HR, hazard ratio; ICER, incremental cost-effectiveness ratio; LDL-C, low-density lipoprotein cholesterol; NA, not applicable; QALY, quality-adjusted life-year; RR, relative risk; VBP, value-based price</p>
</fn>
<fn id="Tfn5">
<label>
<sup>a</sup>
</label>
<p>VBP was defined as an estimated expected price to meet the ICER of 212,676 CNY per QALY gained</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Sensitivity Analyses</title>
<p>In one-way sensitivity analyses, the main drivers on the ICER of alirocumab therapy at its present price based on clinical follow-up efficacy were the utility of initial event-free and post-IS (<xref ref-type="fig" rid="F2">Figure&#x20;2</xref>). Additional tornado diagrams based on different evaluation ways and price points of alirocumab are presented in <xref ref-type="sec" rid="s10">Supplementary Figure S1</xref>. The uncertain results for a wide range of assumptive inputs were still far beyond the WTP threshold, demonstrating the robustness and consistency of model outcomes.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Tornado diagrams based on clinical follow-up efficacy at discounted price of alirocumab. CNY, Chinese Yuan; EV, expected value; ICER, incremental cost-effectiveness ratio; IS, ischemic stroke; MI, myocardial infarction.</p>
</caption>
<graphic xlink:href="fphar-12-648244-g002.tif"/>
</fig>
<p>Probabilistic sensitivity analyses were demonstrated in Monte Carlo simulation scatters plots (<xref ref-type="sec" rid="s10">Supplementary Figure S2</xref>) and cost-effectiveness acceptability curves (<xref ref-type="fig" rid="F3">Figure&#x20;3A</xref>). Assuming the presupposed WTP threshold, the probability of alirocumab being cost-effective in MI population was 0.7% (0.3% for full list price) with clinical follow-up efficacy and 1.7% (1.1% for full list price) with LDL-C reduction hypothesis.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Cost-effectiveness acceptability curves. <bold>(A)</bold> Alirocumab plus statin therapy vs. statin monotherapy were compared and the 4 lines show the probability of alirocumab plus statin therapy to be cost-effective in a range of willingness-to-pay thresholds in various evaluation ways. <bold>(B)</bold> The 3&#x20;lipid-lowering strategies were included and the 3 lines shows the probability of each strategy to be cost-effective in a wide range of willingness-to-pay thresholds. CNY, Chinese Yuan; LDL-C, low-density lipoprotein cholesterol.</p>
</caption>
<graphic xlink:href="fphar-12-648244-g003.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>Scenario Analyses</title>
<p>Separate scenarios were undertaken to evaluate the treatment benefit (<xref ref-type="table" rid="T3">Table&#x20;3</xref>). An all-cause death benefit yielded an ICER of 1,032,482 CNY and a value-based price of 8513 CNY annually. With the combination of ezetimibe and statin therapy, the ICER increased to 6,564,056 CNY and the cost of alirocumab must be reduced to 4232 CNY per year, which was unprecedented among biological medications in China. We also performed cost-effectiveness acceptability curves in three treatment ways (<xref ref-type="fig" rid="F3">Figure&#x20;3B</xref>) and the main result showed that at the basic WTP threshold, the optimal treatment strategy was statin alone in 4.6%, statin plus ezetimibe in 95.2% and statin plus alirocumab in 0.2% of the simulation.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Scenario analyses.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th/>
<th colspan="3" align="center">Effect based on HRs of clinical endpoints</th>
<th colspan="3" align="center">Effect based on RRs of LDL-C reduction</th>
</tr>
<tr>
<th rowspan="2" align="left">Treatment alternative</th>
<th colspan="2" align="center">ICER, CNY</th>
<th rowspan="2" align="center">VBP, CNY<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</th>
<th colspan="2" align="center">ICER, CNY</th>
<th rowspan="2" align="center">VBP, CNY<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</th>
</tr>
<tr>
<th align="center">Discounted net price</th>
<th align="center">Full list price</th>
<th align="center">Discounted net price</th>
<th align="center">Full list price</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Hypothesis of efficacy</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Reduction in non-cardiovascular death</td>
<td align="center">1,032,482</td>
<td align="center">1,577,392</td>
<td align="center">8,513</td>
<td align="center">860,508</td>
<td align="center">1,323,098</td>
<td align="center">10,300</td>
</tr>
<tr>
<td align="left">Intervention therapy strategy</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Ezetimibe added to statins therapy group</td>
<td align="center">6,564,056<xref ref-type="table-fn" rid="Tfn7">
<sup>b</sup>
</xref>
</td>
<td align="center">10,185,808<xref ref-type="table-fn" rid="Tfn7">
<sup>b</sup>
</xref>
</td>
<td align="center">4232<xref ref-type="table-fn" rid="Tfn7">
<sup>b</sup>
</xref>
</td>
<td align="center">1,229,700</td>
<td align="center">1,953,885</td>
<td align="center">10,232</td>
</tr>
<tr>
<td align="left">Different subgroups</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Female population</td>
<td align="center">1,777,745</td>
<td align="center">2,722,174</td>
<td align="center">5,890</td>
<td align="center">858,907</td>
<td align="center">1,348,791</td>
<td align="center">11,696</td>
</tr>
<tr>
<td align="left">&#x2003;FH With MI</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="center">254,945</td>
<td align="center">433,970</td>
<td align="center">30,299</td>
</tr>
<tr>
<td align="left">&#x2003;Polyvascular disease (3 beds)</td>
<td align="center">111,750</td>
<td align="center">217,596</td>
<td align="center">50,734<xref ref-type="table-fn" rid="Tfn8">
<sup>c</sup>
</xref>
</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="left">&#x2003;DM with MI</td>
<td align="center">1,364,704</td>
<td align="center">2,092,499</td>
<td align="center">7,165</td>
<td align="center">673,573</td>
<td align="center">1,061,929</td>
<td align="center">13,970</td>
</tr>
<tr>
<td align="left">&#x2003;Hypertension with MI</td>
<td align="center">1,498,227</td>
<td align="center">2,292,296</td>
<td align="center">6,546</td>
<td align="center">746,873</td>
<td align="center">1,171,640</td>
<td align="center">12,753</td>
</tr>
<tr>
<td align="left">Starting age</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;65&#xa0;years</td>
<td align="center">1,412,372</td>
<td align="center">2,162,769</td>
<td align="center">6,893</td>
<td align="center">697,772</td>
<td align="center">1,097,287</td>
<td align="center">13,498</td>
</tr>
<tr>
<td align="left">&#x2003;70&#xa0;years</td>
<td align="center">1,263,829</td>
<td align="center">1,939,951</td>
<td align="center">7,650</td>
<td align="center">621,794</td>
<td align="center">983,866</td>
<td align="center">14,946</td>
</tr>
<tr>
<td align="left">&#x2003;75&#xa0;years</td>
<td align="center">1,107,200</td>
<td align="center">1,705,199</td>
<td align="center">8,661</td>
<td align="center">535,187</td>
<td align="center">854,940</td>
<td align="center">17,030</td>
</tr>
<tr>
<td align="left">&#x2003;80&#xa0;years</td>
<td align="center">842,649</td>
<td align="center">1,308,215</td>
<td align="center">11,112</td>
<td align="center">394,518</td>
<td align="center">644,888</td>
<td align="center">21,879</td>
</tr>
<tr>
<td align="left">Time horizon</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;5&#xa0;years</td>
<td align="center">4,849,493</td>
<td align="center">7,314,287</td>
<td align="center">2041</td>
<td align="center">2,601,645</td>
<td align="center">3,950,287</td>
<td align="center">3,928</td>
</tr>
<tr>
<td align="left">&#x2003;10&#xa0;years</td>
<td align="center">2,606,179</td>
<td align="center">3,947,808</td>
<td align="center">3,711</td>
<td align="center">1,375,241</td>
<td align="center">2,107,685</td>
<td align="center">7,091</td>
</tr>
<tr>
<td align="left">&#x2003;20&#xa0;years</td>
<td align="center">1,634,778</td>
<td align="center">2,493,198</td>
<td align="center">5,899</td>
<td align="center">830,503</td>
<td align="center">1,292,466</td>
<td align="center">11,383</td>
</tr>
<tr>
<td align="left">&#x2003;30&#xa0;years</td>
<td align="center">1,721,959</td>
<td align="center">2,630,181</td>
<td align="center">5,810</td>
<td align="center">854,582</td>
<td align="center">1,335,577</td>
<td align="center">11,432</td>
</tr>
<tr>
<td align="left">Discount rate</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;3.5%</td>
<td align="center">1,551,023</td>
<td align="center">2,371,171</td>
<td align="center">6,325</td>
<td align="center">769,471</td>
<td align="center">1,204,852</td>
<td align="center">12,388</td>
</tr>
<tr>
<td align="left">&#x2003;6%</td>
<td align="center">1,659,693</td>
<td align="center">2,533,180</td>
<td align="center">5,900</td>
<td align="center">831,970</td>
<td align="center">1,297,604</td>
<td align="center">11,510</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CNY, Chinese Yuan; DM, diabetes mellitus; FH, familial hypercholesterolemia; HR, hazard ratio; ICER, incremental cost-effectiveness ratio; LDL-C, low-density lipoprotein cholesterol; MI, myocardial infarction; NA, not applicable; RR, relative risk; VBP, value-based&#x20;price.</p>
</fn>
<fn id="Tfn6">
<label>
<sup>a</sup>
</label>
<p>VBP was defined as an estimated expected price to meet the ICER of 212,676 CNY per QALY gained.</p>
</fn>
<fn id="Tfn7">
<label>
<sup>b</sup>
</label>
<p>The effect of ezetimibe was modeled by integrating the clinical follow-up efficacy on non-fatal events and the assumed LDL-C reduction efficacy on cardiovascular&#x20;death.</p>
</fn>
<fn id="Tfn8">
<label>
<sup>c</sup>
</label>
<p>The discounted net price of alirocumab has achieved the willingness-to-pay threshold and a small reduction from the full list price was recommended.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Similar or slightly favorable economic value of the PCSK9 inhibitor was observed in several subgroups, including female, DM or hypertension with MI. For poorly controlled FH patients after MI, the ICER was 254,945 CNY per QALY gained and the price was expected to be 30,299 CNY, which was extremely close to the present acquisition price. In patients with polyvascular disease in 3 vascular beds, the ICER for alirocumab plus statin vs. statin alone was 111,750 CNY, which achieved the accepted WTP threshold. Meanwhile, the valued-based price was 50,734 CNY per year, just a small reduction from the full list price. Regarding to different initial treatment ages, the ICERs based on clinical follow-up efficacy declined from 1,412,372 CNY in 65&#xa0;years old to 842,649 CNY in 80&#xa0;years old. Long-term use of alirocumab (over 20&#xa0;years) brought about relatively better economic benefit in general MI population. The diverse discount rates of 3.5% and 6% produced an annual expected price of 6325 CNY and 5900 CNY, respectively.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This is the first decision analysis to comprehensively assess the cost-effectiveness of alirocumab in China for our best knowledge. Despite the prominent cardiovascular benefit of alirocumab observed in the ODYSSEY OUTCOMES trial, its use was inefficient in Chinese healthcare system at present. The therapeutic effect evaluation estimated by the magnitude of LDL-C reduction was superior to the results of clinical follow-up, but this medication was still not cost-effective.</p>
<p>Two long-term economic assessments of alirocumab in US have been specially conducted. Kazi et&#x20;al. (<xref ref-type="bibr" rid="B16">Kazi et&#x20;al., 2019</xref>) simulated a cohort of US adults from a national survey and the original wholesale price of alirocumab would be reduced by 84% to meet the common WTP threshold. Conversely, Bhatt et&#x20;al. (<xref ref-type="bibr" rid="B3">Bhatt et&#x20;al., 2020</xref>) appeared to provide a more favorable viewpoint under ODYSSEY OUTCOMES patient-level cost-effectiveness analysis, especially yielding a high value among patients with baseline LDL-C over 100&#xa0;mg/dl. The differences in baseline comorbid conditions, costs of cardiovascular care and prices of alirocumab in different periods accounted for the entirely disparate ICERs and more accurate and insightful analyses are expected to inform its potential cost consequences.</p>
<p>A noteworthy observation in the ODYSSEY OUTCOMES trial is the nominal reduction in all-cause mortality stratified from numerical reduction in cardiovascular and non-cardiovascular death. We assumed that the reduction of all-cause death was mediated through the reduction in the risk of cardiovascular death in main outcomes, which has an explicit mechanism induced by lip-lowering consisted with the CTTC meta-analysis (<xref ref-type="bibr" rid="B2">Baigent et&#x20;al., 2010</xref>). However, there is also pathophysiological speculation that the benefit on non-fatal cardiovascular events may prevent disability, asthenia and susceptibility to non-cardiovascular illness and death (<xref ref-type="bibr" rid="B30">Steg et&#x20;al., 2019</xref>). Therefore, we applied the overall HR for all-cause mortality to the model in scenario analyses and the ICER was improved but the conclusion was similar fundamentally. Patients with polyvascular disease in 3 vascular beds were only found likely to be cost-effective at present cost of alirocumab in multiple vulnerable subgroup analyses. Except the absolute risk increased in this group, a determining factor was the surprisingly low value of 0.23 observed for the HR for all cause death (<xref ref-type="bibr" rid="B13">Jukema et&#x20;al., 2019</xref>). To our knowledge, this is also the first detailed cost-effectiveness simulation of PCSK9 inhibitors in polyvascular disease. There is no doubt that cardiac prevention in young group has more practical value than older counterpart from a clinical perspective. In the economic model, however, younger patients are low risk in MACEs and the widespread use of medication would not be offset by the benefit of reduced cardiovascular events, which accounts for why we recommend the long-term use of the PCSK9 inhibitor in older patients.</p>
<p>The economic value of evolocumab, another previously approved PCSK9 inhibitor in China, has been extensively studied and discussed in fully comparable methods (<xref ref-type="bibr" rid="B20">Liang et&#x20;al., 2020</xref>). Despite evolocumab did not come out to be cost-effective in the general MI population as well, our analyses indicated that alirocumab was less cost-effective than evolocumab across main results and all subgroups. In addition to differences in actual prices of these agents, the somewhat different HRs concluded from ODYSSEY OUTCOMES (<xref ref-type="bibr" rid="B28">Schwartz et&#x20;al., 2018</xref>) and FOURIER (<xref ref-type="bibr" rid="B27">Sabatine et&#x20;al., 2017</xref>) trials play an indispensable role in evaluation process. In particular, evolocumab showed good value in MI patients with FH, whereas alirocumab did not. This is most likely due to our simulation of efficacy through LDL-C reduction, and the standard dose of evolocumab is slightly more effective than that of alirocumab. Korman et al. (<xref ref-type="bibr" rid="B18">Korman and Wisl&#xf8;ff, 2018</xref>) drew the similar conclusion in the Norwegian setting. Due to lacking head-to-head comparison on clinical outcomes, there is no data to prove that one medication is superior to another yet. We evaluated their economic value based on the available data and do not recommend one over the&#x20;other.</p>
<p>New expensive treatments which cure diseases or improve disability symptoms may be more compatible with their high prices. Delaying the process of atherosclerosis neither cure CVD nor reduce disability, so the potential benefits of PCSK9 inhibitors are limited. Less than one third of the patients in US complied with their prescriptions because of low approval rates or excessive out-of-pocket costs (<xref ref-type="bibr" rid="B26">Navar et&#x20;al., 2017</xref>). There is lacking clinical data of the alirocumab application in Chinese patients; however, compared to other drugs supported by healthcare system, the high expense with self-paying of this medication apparently reduce the application adherence in real-world. With the progress of the development of several biotechnological agents except monoclonal antibodies targeted to PCSK9 protein (<xref ref-type="bibr" rid="B12">Jia et&#x20;al., 2020</xref>) and the due expiration of PCSK9 inhibitors patent, more options will be available for the patients with lower price, which will bring expected improvement in the field of lipid-lowering therapy.</p>
<sec id="s4-1">
<title>Limitations</title>
<p>This study had several limitations. Our cohort selected from PEACE study had only one-year follow-up duration, which may overestimate the incidence of adverse events after MI and the ICERs would be even higher. In addition, the PEACE researchers did not describe the initial average LDL-C level of their cohort. To overcome the shortcomings, we used the absolute LDL-C reduction from the ODYSSEY EAST study involving Chinese population to simulate the effect of alirocumab. And we did not perform subgroup analyses in patients with baseline LDL-C level over or below 100&#xa0;mg/dL for the above reason, just as a significant difference of therapeutic effect reported in ODYSSEY OUTCOMES trial. These limitations could not affect the conclusion that alirocumab was also not cost-effective in patients with initial LDL-C &#x3e; 100&#xa0;mg/dL accounted for the lack of economic value in MI patients with FH defined as higher LDL-C level over 200&#xa0;mg/dL. In real-world clinical practice, the adherence of patients may decline based on over optimism of the condition or exorbitant costs. From an economic standpoint, there is no increase in cost or benefit when patients stop taking the medicine and therefore do not change the economic outcomes. If the legacy effect of PCSK9 inhibitors is proved, cost-effectiveness will likely rise. Lastly, our analysis is not generalizable to primary prevention or patients with stable&#x20;CVD.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>At its current discounted price of 34,355 CNY annually, the addition of alirocumab to statin therapy in MI patients do not attain the generally accepted cost-effectiveness threshold. If pragmatic strategies can be carried out to control cost of alirocumab to 6071 CNY (assessed from clinical follow-up efficacy) or 11,861 CNY (assessed from LDL-C reduction), this agent would be a promising treatment option for high-risk patients. Expensive lifetime drug costs may be offset by clinical benefit in patients with polyvascular disease in 3 vascular&#x20;beds.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s10">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>All authors contributed to conception and design of the work. ZL, QC, RW and CM organized the database and performed the statistical analysis. ZL drafted the manuscript and the others critically revised the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This work was supported by National Key Technologies Research and Development Program of China (2020YFC2003600) and National Natural Science Foundation of China (81870368, 81370437).</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11">
<title>Abbreviations</title>
<p>
<bold>CVD</bold>, cardiovascular disease; <bold>LDL&#x2010;C</bold>, low&#x2010;density lipoprotein cholesterol; <bold>MI</bold>, myocardial infarction; <bold>PCSK9</bold>, proprotein convertase subtilisin/kexin type&#x20;9; <bold>HeFH</bold>, heterozygous familial hypercholesterolemia; <bold>IS</bold>, ischemic stroke; <bold>ICER</bold>, incremental cost-effectiveness&#x20;ratio; <bold>QALY</bold>, quality-adjusted life&#x2010;year; <bold>CNY</bold>, Chinese Yuan; <bold>GDP</bold>, gross domestic product; <bold>HR</bold>, hazard&#x20;ratio; <bold>MACE</bold>, major adverse cardiovascular&#x20;event; <bold>CTTC</bold>, cholesterol treatment trialists&#x2019; collaboration; <bold>QOL</bold>, quality&#x2010;of&#x2010;life; <bold>CI</bold>, confidence interval; <bold>WTP</bold>, willingness&#x2010;to&#x2010;pay; <bold>DM</bold>, diabetes mellitus; <bold>CHEERS</bold>, consolidated health economic evaluation reporting standards; <bold>RR</bold>, relative&#x20;risk.</p>
</sec>
<sec id="s10">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2021.648244/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2021.648244/full&#x23;supplementary-material</ext-link>.</p>
<supplementary-material xlink:href="datasheet1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Allahyari</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Jernberg</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Hagstr&#xf6;m</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Leosdottir</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Lundman</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Ueda</surname>
<given-names>P.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Application of the 2019 ESC/EAS dyslipidaemia guidelines to nationwide data of patients with a recent myocardial infarction: a simulation study</article-title>. <source>Eur. Heart J.</source>, <volume>41</volume>, <fpage>3900</fpage>. <pub-id pub-id-type="doi">10.1093/eurheartj/ehaa034</pub-id> </citation>
</ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Baigent</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Blackwell</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Emberson</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Holland</surname>
<given-names>L. E.</given-names>
</name>
<name>
<surname>Reith</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Bhala</surname>
<given-names>N.</given-names>
</name>
<etal/>
</person-group> (<year>2010</year>). <article-title>Efficacy and safety of more intensive lowering of LDL cholesterol: a meta-analysis of data from 170,000 participants in 26 randomised trials</article-title>. <source>Lancet</source> <volume>376</volume> (<issue>9753</issue>), <fpage>1670</fpage>&#x2013;<lpage>1681</lpage>. <pub-id pub-id-type="doi">10.1016/s0140-6736(10)61350-5</pub-id> </citation>
</ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bhatt</surname>
<given-names>D. L.</given-names>
</name>
<name>
<surname>Briggs</surname>
<given-names>A. H.</given-names>
</name>
<name>
<surname>Reed</surname>
<given-names>S. D.</given-names>
</name>
<name>
<surname>Annemans</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Szarek</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Bittner</surname>
<given-names>V. A.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>Cost-effectiveness of Alirocumab in patients with acute coronary syndromes. The ODYSSEY OUTCOMES Trial</article-title>. <source>J.&#x20;Am. Coll. Cardiol.</source> <volume>75</volume> (<issue>18</issue>), <fpage>2297</fpage>&#x2013;<lpage>2308</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacc.2020.03.029</pub-id> </citation>
</ref>
<ref id="B4">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cannon</surname>
<given-names>C. P.</given-names>
</name>
<name>
<surname>Blazing</surname>
<given-names>M. A.</given-names>
</name>
<name>
<surname>Giugliano</surname>
<given-names>R. P.</given-names>
</name>
<name>
<surname>McCagg</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>White</surname>
<given-names>J.&#x20;A.</given-names>
</name>
<name>
<surname>Theroux</surname>
<given-names>P.</given-names>
</name>
<etal/>
</person-group> (<year>2015</year>). <article-title>Ezetimibe added to statin therapy after acute coronary syndromes</article-title>. <source>N. Engl. J.&#x20;Med.</source> <volume>372</volume> (<issue>25</issue>), <fpage>2387</fpage>&#x2013;<lpage>2397</lpage>. <pub-id pub-id-type="doi">10.1056/NEJMoa1410489</pub-id> </citation>
</ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Hemmelgarn</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Alhaider</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Quan</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Campbell</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Rabi</surname>
<given-names>D.</given-names>
</name>
</person-group> (<year>2009</year>). <article-title>Meta-analysis of adverse cardiovascular outcomes associated with antecedent hypertension after myocardial infarction</article-title>. <source>Am. J.&#x20;Cardiol.</source> <volume>104</volume> (<issue>1</issue>), <fpage>141</fpage>&#x2013;<lpage>147</lpage>. <pub-id pub-id-type="doi">10.1016/j.amjcard.2009.02.048</pub-id> </citation>
</ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>De Luca</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Dirksen</surname>
<given-names>M. T.</given-names>
</name>
<name>
<surname>Spaulding</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Kelb&#xe6;k</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Schalij</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Thuesen</surname>
<given-names>L.</given-names>
</name>
<etal/>
</person-group> (<year>2014</year>). <article-title>Impact of hypertension on clinical outcome in STEMI patients undergoing primary angioplasty with BMS or DES: insights from the DESERT cooperation</article-title>. <source>Int. J.&#x20;Cardiol.</source> <volume>175</volume> (<issue>1</issue>), <fpage>50</fpage>&#x2013;<lpage>54</lpage>. <pub-id pub-id-type="doi">10.1016/j.ijcard.2014.04.180</pub-id> </citation>
</ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dreyer</surname>
<given-names>R. P.</given-names>
</name>
<name>
<surname>Zheng</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Xu</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Ding</surname>
<given-names>Q.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Sex differences in health outcomes at one year following acute myocardial infarction: a report from the China patient-centered evaluative assessment of cardiac events prospective acute myocardial infarction study</article-title>. <source>Eur. Heart J.&#x20;Acute Cardiovasc. Care</source> <volume>8</volume> (<issue>3</issue>), <fpage>273</fpage>&#x2013;<lpage>282</lpage>. <pub-id pub-id-type="doi">10.1177/2048872618803726</pub-id> </citation>
</ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Farnier</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Jones</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Severance</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Averna</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Steinhagen-Thiessen</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Colhoun</surname>
<given-names>H. M.</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>Efficacy and safety of adding alirocumab to rosuvastatin versus adding ezetimibe or doubling the rosuvastatin dose in high cardiovascular-risk patients: the ODYSSEY OPTIONS II randomized trial</article-title>. <source>Atherosclerosis</source> <volume>244</volume>, <fpage>138</fpage>&#x2013;<lpage>146</lpage>. <pub-id pub-id-type="doi">10.1016/j.atherosclerosis.2015.11.010</pub-id> </citation>
</ref>
<ref id="B9">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fu</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>X.-y.</given-names>
</name>
<name>
<surname>Qin</surname>
<given-names>S.-b.</given-names>
</name>
<name>
<surname>Nie</surname>
<given-names>X.-y.</given-names>
</name>
<name>
<surname>Shi</surname>
<given-names>L.-w.</given-names>
</name>
<name>
<surname>Shao</surname>
<given-names>H.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>Cost-effectiveness of CYP2C19&#x20;LOF-guided antiplatelet therapy in Chinese patients with acute coronary syndrome</article-title>. <source>Pharmacogenomics</source> <volume>21</volume> (<issue>1</issue>), <fpage>33</fpage>&#x2013;<lpage>42</lpage>. <pub-id pub-id-type="doi">10.2217/pgs-2019-0050</pub-id> </citation>
</ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Han</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Chopra</surname>
<given-names>V. K.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Su</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Ma</surname>
<given-names>C.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>ODYSSEY EAST: alirocumab efficacy and safety vs ezetimibe in high cardiovascular risk patients with hypercholesterolemia and on maximally tolerated statin in China, India, and Thailand</article-title>. <source>J.&#x20;Clin. Lipidol.</source> <volume>14</volume>, <fpage>98</fpage>. <pub-id pub-id-type="doi">10.1016/j.jacl.2019.10.015</pub-id> </citation>
</ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Husereau</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Drummond</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Petrou</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Carswell</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Moher</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Greenberg</surname>
<given-names>D.</given-names>
</name>
<etal/>
</person-group> (<year>2013</year>). <article-title>Consolidated health economic evaluation reporting standards explanation and elaboration: a report of the ISPOR health economic evaluation publication guidelines good reporting practices task force</article-title>. <source>Value Health</source> <volume>16</volume> (<issue>2</issue>), <fpage>231</fpage>&#x2013;<lpage>250</lpage>. <pub-id pub-id-type="doi">10.1016/j.jval.2013.02.002</pub-id> </citation>
</ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jia</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Mehta</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Ballantyne</surname>
<given-names>C. M.</given-names>
</name>
<name>
<surname>Virani</surname>
<given-names>S. S.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Lipid-lowering biotechnological drugs: from monoclonal antibodies to antisense therapies-a clinical perspective</article-title>. <source>Cardiovasc. Drugs Ther</source>. <pub-id pub-id-type="doi">10.1007/s10557-020-07082-x</pub-id> </citation>
</ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jukema</surname>
<given-names>J.&#x20;W.</given-names>
</name>
<name>
<surname>Szarek</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Zijlstra</surname>
<given-names>L. E.</given-names>
</name>
<name>
<surname>de Silva</surname>
<given-names>H. A.</given-names>
</name>
<name>
<surname>Bhatt</surname>
<given-names>D. L.</given-names>
</name>
<name>
<surname>Bittner</surname>
<given-names>V. A.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Alirocumab in patients with polyvascular disease and recent acute coronary syndrome: ODYSSEY OUTCOMES Trial</article-title>. <source>J.&#x20;Am. Coll. Cardiol.</source> <volume>74</volume> (<issue>9</issue>), <fpage>1167</fpage>&#x2013;<lpage>1176</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacc.2019.03.013</pub-id> </citation>
</ref>
<ref id="B14">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kastelein</surname>
<given-names>J.&#x20;J.&#x20;P.</given-names>
</name>
<name>
<surname>Ginsberg</surname>
<given-names>H. N.</given-names>
</name>
<name>
<surname>Langslet</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Hovingh</surname>
<given-names>G. K.</given-names>
</name>
<name>
<surname>Ceska</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Dufour</surname>
<given-names>R.</given-names>
</name>
<etal/>
</person-group> (<year>2015</year>). <article-title>ODYSSEY FH I and FH II: 78&#xa0;weeks results with alirocumab treatment in 735 patients with heterozygous familial hypercholesterolaemia</article-title>. <source>Eur. Heart J.</source> <volume>36</volume> (<issue>43</issue>), <fpage>2996</fpage>&#x2013;<lpage>3003</lpage>. <pub-id pub-id-type="doi">10.1093/eurheartj/ehv370</pub-id> </citation>
</ref>
<ref id="B15">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kazi</surname>
<given-names>D. S.</given-names>
</name>
<name>
<surname>Moran</surname>
<given-names>A. E.</given-names>
</name>
<name>
<surname>Coxson</surname>
<given-names>P. G.</given-names>
</name>
<name>
<surname>Penko</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Ollendorf</surname>
<given-names>D. A.</given-names>
</name>
<name>
<surname>Pearson</surname>
<given-names>S. D.</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>Cost-effectiveness of PCSK9 inhibitor therapy in patients with heterozygous familial hypercholesterolemia or atherosclerotic cardiovascular disease</article-title>. <source>JAMA</source> <volume>316</volume> (<issue>7</issue>), <fpage>743</fpage>&#x2013;<lpage>753</lpage>. <pub-id pub-id-type="doi">10.1001/jama.2016.11004</pub-id> </citation>
</ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kazi</surname>
<given-names>D. S.</given-names>
</name>
<name>
<surname>Penko</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Coxson</surname>
<given-names>P. G.</given-names>
</name>
<name>
<surname>Guzman</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Wei</surname>
<given-names>P. C.</given-names>
</name>
<name>
<surname>Bibbins-Domingo</surname>
<given-names>K.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Cost-effectiveness of alirocumab: A Just-in-Time Analysis Based on the ODYSSEY Outcomes Trial</article-title>. <source>Ann. Intern. Med.</source> <volume>170</volume> (<issue>4</issue>), <fpage>221</fpage>&#x2013;<lpage>229</lpage>. <pub-id pub-id-type="doi">10.7326/M18-1776</pub-id> </citation>
</ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Khazeni</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Hutton</surname>
<given-names>D. W.</given-names>
</name>
<name>
<surname>Garber</surname>
<given-names>A. M.</given-names>
</name>
<name>
<surname>Hupert</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Owens</surname>
<given-names>D. K.</given-names>
</name>
</person-group> (<year>2009</year>). <article-title>Effectiveness and cost-effectiveness of vaccination against pandemic influenza (H1N1) 2009</article-title>. <source>Ann. Intern. Med.</source> <volume>151</volume> (<issue>12</issue>), <fpage>829</fpage>&#x2013;<lpage>839</lpage>. <pub-id pub-id-type="doi">10.7326/0000605-200912150-00157</pub-id> </citation>
</ref>
<ref id="B18">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Korman</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Wisl&#xf8;ff</surname>
<given-names>T.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Modelling the cost-effectiveness of PCSK9 inhibitors vs. ezetimibe through LDL-C reductions in a Norwegian setting</article-title>. <source>Eur. Heart J.&#x20;Cardiovasc. Pharmacother.</source> <volume>4</volume> (<issue>1</issue>), <fpage>15</fpage>&#x2013;<lpage>22</lpage>. <pub-id pub-id-type="doi">10.1093/ehjcvp/pvx010</pub-id> </citation>
</ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Gao</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Qi</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>J.</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>Impact of type 2 diabetes mellitus on recurrent myocardial infarction in China</article-title>. <source>Diabetes Vasc. Dis. Res.</source> <volume>13</volume> (<issue>6</issue>), <fpage>395</fpage>&#x2013;<lpage>404</lpage>. <pub-id pub-id-type="doi">10.1177/1479164116653606</pub-id> </citation>
</ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liang</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Yan</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>X.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>Cost-effectiveness of evolocumab therapy for myocardial infarction: the Chinese healthcare perspective</article-title>. <source>Cardiovasc. Drugs Ther.</source> <pub-id pub-id-type="doi">10.1007/s10557-020-07079-6</pub-id> </citation>
</ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mach</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Baigent</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Catapano</surname>
<given-names>A. L.</given-names>
</name>
<name>
<surname>Koskinas</surname>
<given-names>K. C.</given-names>
</name>
<name>
<surname>Casula</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Badimon</surname>
<given-names>L.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk</article-title>. <source>Eur. Heart J.</source> <volume>41</volume> (<issue>1</issue>), <fpage>111</fpage>&#x2013;<lpage>188</lpage>. <pub-id pub-id-type="doi">10.1093/eurheartj/ehz455</pub-id> </citation>
</ref>
<ref id="B22">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Matza</surname>
<given-names>L. S.</given-names>
</name>
<name>
<surname>Stewart</surname>
<given-names>K. D.</given-names>
</name>
<name>
<surname>Gandra</surname>
<given-names>S. R.</given-names>
</name>
<name>
<surname>Delio</surname>
<given-names>P. R.</given-names>
</name>
<name>
<surname>Fenster</surname>
<given-names>B. E.</given-names>
</name>
<name>
<surname>Davies</surname>
<given-names>E. W.</given-names>
</name>
<etal/>
</person-group> (<year>2015</year>). <article-title>Acute and chronic impact of cardiovascular events on health state utilities</article-title>. <source>BMC Health Serv. Res.</source> <volume>15</volume>, <fpage>173</fpage>. <pub-id pub-id-type="doi">10.1186/s12913-015-0772-9</pub-id> </citation>
</ref>
<ref id="B24">
<citation citation-type="web">
<collab>National Bureau of Statistics of China</collab> (<year>2019a</year>). <article-title>The statistical communique of the People&#x2019;s Republic of China on national economic and social development</article-title>. <comment>Available online at: <ext-link ext-link-type="uri" xlink:href="http://www.stats.gov.cn/tjsj/zxfb/202002/t20200228_1728913.html">http://www.stats.gov.cn/tjsj/zxfb/202002/t20200228_1728913.html</ext-link>
</comment> (<comment>Accessed October 24, 2020</comment>). </citation>
</ref>
<ref id="B23">
<citation citation-type="web">
<collab>National Bureau of Statistics of China</collab> (<year>2019b</year>). <article-title>Healthcare consumer CPI of the People&#x2019;s Republic of China</article-title>. <comment>Available at: <ext-link ext-link-type="uri" xlink:href="http://www.stats.gov.cn/tjsj/ndsj/">http://www.stats.gov.cn/tjsj/ndsj/</ext-link>
</comment> (<comment>Accessed October 29, 2020</comment>). </citation>
</ref>
<ref id="B25">
<citation citation-type="book">
<collab>National Health Commission of the People&#x2019;s Republic of China</collab> (<year>2019</year>). <source>China health Statistics Yearbook</source>. <publisher-loc>Beijing, China</publisher-loc>: <publisher-name>Peking Union Medical college Press</publisher-name>.</citation>
</ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Navar</surname>
<given-names>A. M.</given-names>
</name>
<name>
<surname>Taylor</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Mulder</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Fievitz</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Monda</surname>
<given-names>K. L.</given-names>
</name>
<name>
<surname>Fievitz</surname>
<given-names>A.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>Association of prior authorization and out-of-pocket costs with patient Access to PCSK9 inhibitor therapy</article-title>. <source>JAMA Cardiol.</source> <volume>2</volume> (<issue>11</issue>), <fpage>1217</fpage>. <pub-id pub-id-type="doi">10.1001/jamacardio.2017.3451</pub-id> </citation>
</ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sabatine</surname>
<given-names>M. S.</given-names>
</name>
<name>
<surname>Giugliano</surname>
<given-names>R. P.</given-names>
</name>
<name>
<surname>Keech</surname>
<given-names>A. C.</given-names>
</name>
<name>
<surname>Honarpour</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Wiviott</surname>
<given-names>S. D.</given-names>
</name>
<name>
<surname>Murphy</surname>
<given-names>S. A.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>Evolocumab and clinical outcomes in patients with cardiovascular disease</article-title>. <source>N. Engl. J.&#x20;Med.</source> <volume>376</volume> (<issue>18</issue>), <fpage>1713</fpage>&#x2013;<lpage>1722</lpage>. <pub-id pub-id-type="doi">10.1056/NEJMoa1615664</pub-id> </citation>
</ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schwartz</surname>
<given-names>G. G.</given-names>
</name>
<name>
<surname>Steg</surname>
<given-names>P. G.</given-names>
</name>
<name>
<surname>Szarek</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Bhatt</surname>
<given-names>D. L.</given-names>
</name>
<name>
<surname>Bittner</surname>
<given-names>V. A.</given-names>
</name>
<name>
<surname>Diaz</surname>
<given-names>R.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Alirocumab and cardiovascular outcomes after acute coronary syndrome</article-title>. <source>N. Engl. J.&#x20;Med.</source> <volume>379</volume> (<issue>22</issue>), <fpage>2097</fpage>&#x2013;<lpage>2107</lpage>. <pub-id pub-id-type="doi">10.1056/NEJMoa1801174</pub-id> </citation>
</ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Soran</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>France</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Adam</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Iqbal</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Ho</surname>
<given-names>J.&#x20;H.</given-names>
</name>
<name>
<surname>Durrington</surname>
<given-names>P. N.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Quantitative evaluation of statin effectiveness versus intolerance and strategies for management of intolerance</article-title>. <source>Atherosclerosis</source> <volume>306</volume>, <fpage>33</fpage>&#x2013;<lpage>40</lpage>. <pub-id pub-id-type="doi">10.1016/j.atherosclerosis.2020.06.023</pub-id> </citation>
</ref>
<ref id="B30">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Steg</surname>
<given-names>P. G.</given-names>
</name>
<name>
<surname>Szarek</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Bhatt</surname>
<given-names>D. L.</given-names>
</name>
<name>
<surname>Bittner</surname>
<given-names>V. A.</given-names>
</name>
<name>
<surname>Br&#xe9;geault</surname>
<given-names>M.-F.</given-names>
</name>
<name>
<surname>Dalby</surname>
<given-names>A. J.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Effect of alirocumab on mortality after acute coronary&#x20;syndromes</article-title>. <source>Circulation</source> <volume>140</volume> (<issue>2</issue>), <fpage>103</fpage>&#x2013;<lpage>112</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.118.038840</pub-id> </citation>
</ref>
<ref id="B31">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stevens</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Peneva</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>J.&#x20;Z.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>L. Z.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Gao</surname>
<given-names>R.</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>Estimating the future burden of cardiovascular disease and the value of lipid and blood pressure control therapies in China</article-title>. <source>BMC Health Serv. Res.</source> <volume>16</volume>, <fpage>175</fpage>. <pub-id pub-id-type="doi">10.1186/s12913-016-1420-8</pub-id> </citation>
</ref>
<ref id="B32">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Subherwal</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Bhatt</surname>
<given-names>D. L.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>T. Y.</given-names>
</name>
<name>
<surname>Thomas</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Alexander</surname>
<given-names>K. P.</given-names>
</name>
<etal/>
</person-group> (<year>2012</year>). <article-title>Polyvascular disease and long-term cardiovascular outcomes in older patients with non-ST-segment-elevation myocardial infarction</article-title>. <source>Circ. Cardiovasc. Qual. Outcomes</source> <volume>5</volume> (<issue>4</issue>), <fpage>541</fpage>&#x2013;<lpage>549</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCOUTCOMES.111.964379</pub-id> </citation>
</ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Jin</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Liao</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Dong</surname>
<given-names>T.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Association of various risk factors with prognosis and hospitalization cost in Chinese patients with acute myocardial infarction: a clinical analysis of 627 cases</article-title>. <source>Exp. Ther. Med.</source> <volume>9</volume> (<issue>2</issue>), <fpage>603</fpage>&#x2013;<lpage>611</lpage>. <pub-id pub-id-type="doi">10.3892/etm.2014.2087</pub-id> </citation>
</ref>
<ref id="B34">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Cai</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Xi</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>G.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Comparison of long-term outcomes of young patients after a coronary event associated with familial hypercholesterolemia</article-title>. <source>Lipids Health Dis.</source> <volume>18</volume> (<issue>1</issue>), <fpage>131</fpage>. <pub-id pub-id-type="doi">10.1186/s12944-019-1074-8</pub-id> </citation>
</ref>
<ref id="B35">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Wu</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Dong</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Guan</surname>
<given-names>H.</given-names>
</name>
</person-group> (<year>2015</year>). <source>
<italic>China guidelines for pharmacoeconomic evaluations and manual</italic>
</source>. <publisher-loc>Beijing, China</publisher-loc>: <publisher-name>Science Press</publisher-name>.</citation>
</ref>
<ref id="B36">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yin</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Man</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Jiang</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Zhao</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Zhao</surname>
<given-names>L.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Inpatient cost of stroke in Beijing: a descriptive analysis</article-title>. <source>Neuroepidemiology</source> <volume>51</volume> (<issue>3-4</issue>), <fpage>115</fpage>&#x2013;<lpage>122</lpage>. <pub-id pub-id-type="doi">10.1159/000491091</pub-id> </citation>
</ref>
<ref id="B37">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhao</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Epidemiology of cardiovascular disease in China: current features and implications</article-title>. <source>Nat. Rev. Cardiol.</source> <volume>16</volume> (<issue>4</issue>), <fpage>203</fpage>&#x2013;<lpage>212</lpage>. <pub-id pub-id-type="doi">10.1038/s41569-018-0119-4</pub-id> </citation>
</ref>
<ref id="B38">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhuo</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Feng</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Ouyang</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Niu</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Dai</surname>
<given-names>Z.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>In-hospital, short-term and long-term adverse clinical outcomes observed in patients with type 2 diabetes mellitus vs non-diabetes mellitus following percutaneous coronary intervention: A meta-analysis including 139,774 patients</article-title>. <source>Medicine (Baltimore)</source> <volume>98</volume> (<issue>8</issue>), <fpage>e14669</fpage>. <pub-id pub-id-type="doi">10.1097/MD.0000000000014669</pub-id> </citation>
</ref>
</ref-list>
</back>
</article>
