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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title-group>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2026.1763592</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Cost-effectiveness of hetrombopag, eltrombopag, and avatrombopag for chronic immune thrombocytopenia in China: a cost-utility analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Jin</surname> <given-names>Shanshan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author"><name><surname>Hu</surname> <given-names>Zhengqiang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author"><name><surname>Jin</surname> <given-names>Yuancheng</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author"><name><surname>Lv</surname> <given-names>Wang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author"><name><surname>Song</surname> <given-names>Zhujin</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes"><name><surname>Zeng</surname> <given-names>Su</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes"><name><surname>Wu</surname> <given-names>Miaolian</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="aff" rid="aff4"><sup>4</sup></xref><xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Pharmacy, The Fourth Affiliated Hospital of School of Medicine, International School of Medicine, International Institutes of Medicine, Zhejiang University</institution>, <city>Yiwu</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>College of Pharmaceutical Sciences, Zhejiang University</institution>, <city>Hangzhou</city>, <state>Zhejiang</state>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Research Center for Clinical Pharmacy, Zhejiang University</institution>, <city>Hangzhou</city>, <state>Zhejiang</state>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Pharmacy, The Children&#x2019;s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health</institution>, <city>Hangzhou</city>, <state>Zhejiang</state>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Su Zeng, <email xlink:href="mailto:zengsu@zju.edu.cn">zengsu@zju.edu.cn</email>; Miaolian Wu, <email xlink:href="mailto:chawml@zju.edu.cn">chawml@zju.edu.cn</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-19">
<day>19</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>14</volume>
<elocation-id>1763592</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>05</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Jin, Hu, Jin, Lv, Song, Zeng and Wu.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Jin, Hu, Jin, Lv, Song, Zeng and Wu</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-19">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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 terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Objectives</title>
<p>Thrombopoietin receptor agonists (TPO-RAs) are standard second-line therapies for chronic immune thrombocytopenia (ITP). Given the introduction of domestic options like hetrombopag, a comparative economic evaluation is essential to inform reimbursement policies in China. This study assessed the cost-effectiveness of hetrombopag, eltrombopag, and avatrombopag for Chinese adults with chronic ITP.</p>
</sec>
<sec>
<title>Methods</title>
<p>A hybrid model comprising a decision tree and a Markov process was developed to simulate lifetime costs and health outcomes from the perspective of the Chinese healthcare system. Clinical efficacy parameters were derived from randomized controlled trials and a network meta-analysis (NMA). Utilities and costs were estimated using published literature and local data, respectively. Future costs and quality-adjusted life-years (QALYs) were discounted at 5% annually. The primary outcome was the incremental net monetary benefit (iNMB) at a willingness-to-pay (WTP) threshold of CNY 287,391/QALY. Deterministic and probabilistic sensitivity analyses were performed to evaluate uncertainty.</p>
</sec>
<sec>
<title>Results</title>
<p>Over a lifetime horizon, hetrombopag was the lowest-cost strategy (CNY 2,205,717), followed by eltrombopag (CNY 2,214,322) and avatrombopag (CNY 2,379,335). Although avatrombopag yielded the highest QALYs (10.449), hetrombopag (10.335 QALYs) dominated eltrombopag (10.159 QALYs) by providing greater health benefits at lower costs. Compared with avatrombopag, hetrombopag generated a positive iNMB of CNY 140,864, as the substantial cost savings outweighed the marginal reduction in QALYs. Probabilistic sensitivity analysis indicated that hetrombopag had the highest probability of being cost-effective across standard WTP thresholds.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Under current pricing, hetrombopag represents the most cost-effective second-line TPO-RA for adult chronic ITP in China. It dominates eltrombopag and offers a favorable economic profile compared with avatrombopag. These findings support the use of hetrombopag as a preferred option in resource-limited settings.</p>
</sec>
</abstract>
<kwd-group>
<kwd>avatrombopag</kwd>
<kwd>chronic immune thrombocytopenia</kwd>
<kwd>cost-utility analysis</kwd>
<kwd>eltrombopag</kwd>
<kwd>hetrombopag</kwd>
<kwd>thrombopoietin receptor agonists</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was funded by the Research Project of China Medical Education Association (2023WSJSPGZXKT-09), Special Research Funding Project of Zhejiang Pharmaceutical Association Drug Clinical Comprehensive Evaluation (2022ZYYL10).</funding-statement>
</funding-group>
<counts>
<fig-count count="8"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="31"/>
<page-count count="11"/>
<word-count count="5899"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Health Economics</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Chronic immune thrombocytopenia (ITP) is a chronic autoimmune disorder characterized by a low platelet count (&#x003C;100&#x202F;&#x00D7;&#x202F;10<sup>9</sup>/L), leading to an increased risk of bleeding and significantly impaired health-related quality of life (<xref ref-type="bibr" rid="ref1 ref2 ref3 ref4">1&#x2013;4</xref>). Beyond the immediate clinical risks of hemorrhage, the burden of ITP includes debilitating fatigue, activity restrictions, and anxiety. These factors impose a substantial economic strain on healthcare systems due to the costs associated with long-term monitoring, hospitalization, and the management of bleeding events (<xref ref-type="bibr" rid="ref5 ref6 ref7 ref8 ref9">5&#x2013;9</xref>).</p>
<p>The primary goals of ITP management are to increase platelet counts to a safe level, minimize the risk of clinically significant bleeding, and maintain patient quality of life (<xref ref-type="bibr" rid="ref10">10</xref>). While corticosteroids and intravenous immunoglobulin (IVIg) remain standard first-line therapies, their long-term utility is often restricted by significant adverse effects and high relapse rates upon tapering (<xref ref-type="bibr" rid="ref10 ref11 ref12">10&#x2013;12</xref>). Consequently, a substantial proportion of patients require second-line therapies. In recent years, thrombopoietin receptor agonists (TPO-RAs) have become a standard of care for second-line treatment (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref13">13</xref>). By stimulating platelet production, TPO-RAs effectively maintain safe platelet counts and reduce bleeding events in patients with chronic ITP (<xref ref-type="bibr" rid="ref14 ref15 ref16">14&#x2013;16</xref>).</p>
<p>Despite their clinical benefits, the high acquisition costs of TPO-RAs present challenges for healthcare resource allocation. While several pharmacoeconomic analyses of TPO-RAs have been conducted (<xref ref-type="bibr" rid="ref17 ref18 ref19 ref20">17&#x2013;20</xref>), the available evidence remains fragmented in terms of settings and comparators. Consequently, an economic evaluation that simultaneously compares the three oral TPO-RAs currently relevant to clinical practice in China&#x2014;including the domestically developed hetrombopag&#x2014;remains lacking. This uncertainty presents a challenge for policymakers and clinicians in making informed formulary and treatment decisions.</p>
<p>Therefore, the objective of this study was to evaluate the cost-effectiveness of three TPO-RAs&#x2014;eltrombopag, hetrombopag, and avatrombopag&#x2014;as second-line treatments for adult patients with chronic ITP from the perspective of the Chinese healthcare system.</p>
</sec>
<sec sec-type="methods" id="sec2">
<label>2</label>
<title>Methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Model structure</title>
<p>We developed a hybrid economic model consisting of a short-term decision tree and a long-term Markov process to evaluate the cost-utility of three TPO-RAs from the perspective of the Chinese healthcare system. The model simulated a lifetime horizon with a cycle length of 4&#x202F;weeks. A half-cycle correction was applied to state transitions. Both costs and health outcomes were discounted at an annual rate of 5%, consistent with Chinese pharmacoeconomic guidelines (<xref ref-type="bibr" rid="ref21">21</xref>).</p>
<p>The model structure comprised two phases. The first phase used a decision tree to simulate the immediate response to initial TPO-RA therapy. Based on the initial outcome, patients entered the second phase, a long-term Markov process with four mutually exclusive health states: &#x201C;Response,&#x201D; &#x201C;Subsequent Treatment,&#x201D; &#x201C;Best Supportive Care (BSC),&#x201D; and &#x201C;Death.&#x201D; Patients in the &#x201C;Response&#x201D; state (defined as a platelet count &#x003E;50&#x202F;&#x00D7;&#x202F;10<sup>9</sup>/L) continued their current therapy but faced a cyclical risk of loss of response, necessitating a transition to &#x201C;Subsequent Treatment.&#x201D; Patients failing subsequent treatment progressed to the &#x201C;BSC&#x201D; state. The overall model structure is illustrated in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Schematic representation of the model structure. The model comprises a decision tree (left) determining the initial response to TPO-RA therapy and a Markov cohort model (right) simulating long-term health outcomes. The cycle length of the model was 4&#x202F;weeks. ITP, immune thrombocytopenia; TPO-RA, thrombopoietin receptor agonist.</p>
</caption>
<graphic xlink:href="fpubh-14-1763592-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart illustrating the treatment pathway for adult ITP patients starting with initial TPO-RA therapy, leading to response or subsequent treatment, then to best supportive care or death, with looping paths between treatment stages.</alt-text>
</graphic>
</fig>
<p>The four-state structure in the Markov model was chosen to align with the efficacy endpoints available from clinical trials and the platelet-driven treatment pathway standard in Chinese clinical practice. A &#x201C;remission without treatment&#x201D; state was excluded because spontaneous remission is rare in this refractory adult population. Similarly, a specific state for discontinuation due to adverse events was not modeled separately, as no statistically significant differences in adverse event rates were observed among the three TPO-RAs (<xref ref-type="bibr" rid="ref22">22</xref>). Instead, patients discontinuing treatment due to adverse events were captured by the duration of response curves derived from clinical trial data and were assumed to transition to the &#x201C;Subsequent Treatment&#x201D; state.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Population and interventions</title>
<p>The model simulated a hypothetical cohort of adult patients with chronic ITP in China who had relapsed or were refractory to first-line therapies (corticosteroids or IVIg). Baseline characteristics were derived from the Phase III clinical trial of eltrombopag in China (<xref ref-type="bibr" rid="ref23">23</xref>) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>).</p>
<p>Three second-line strategies were compared among eltrombopag, hetrombopag, and avatrombopag. To isolate the economic value of the initial TPO-RA therapies, the downstream treatment pathway was standardized. We assumed that all patients failing the initial therapy received a uniform regimen of rituximab combined with recombinant human thrombopoietin (rhTPO).</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Clinical inputs</title>
<sec id="sec6">
<label>2.3.1</label>
<title>Efficacy parameters</title>
<p>Treatment efficacy was defined by three parameters: initial response rate, time to response, and duration of response. For eltrombopag, the initial response rate was sourced directly from its registrational Phase III trial in China. To model the durability of efficacy, parametric survival models were fitted to patient-level data from the EXTEND long-term extension study. Based on the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC), the log-normal distribution was selected as the best-fitting model to extrapolate the long-term duration of response.</p>
<p>Due to the absence of direct head-to-head clinical trials, the relative efficacy of hetrombopag and avatrombopag was derived via a network meta-analysis (NMA) (<xref ref-type="bibr" rid="ref22">22</xref>). The odds ratios (ORs) from the NMA were applied to the eltrombopag baseline data to estimate the corresponding efficacy parameters for the comparators. Based on published literature (<xref ref-type="bibr" rid="ref10">10</xref>), the time to response for all three TPO-RAs and subsequent treatments was standardized to one cycle (4&#x202F;weeks). Similarly, the efficacy of the subsequent treatment (rituximab + rhTPO) was characterized by time to response, initial response rate, and duration of response. The long-term duration was estimated by extrapolating survival functions fitted to digitized Kaplan&#x2013;Meier curves from the relevant clinical trial (<xref ref-type="bibr" rid="ref24">24</xref>) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref> and <xref ref-type="supplementary-material" rid="SM1">Table S3</xref>). Additional parameters are detailed in <xref ref-type="table" rid="tab1">Table 1</xref>.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Clinical inputs.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Parameter name</th>
<th align="center" valign="top">Base-case value</th>
<th align="center" valign="top">Lower value</th>
<th align="center" valign="top">Upper value</th>
<th align="center" valign="top">Distribution</th>
<th align="center" valign="top">Source</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom" colspan="6">Treatment efficacy</td>
</tr>
<tr>
<td align="left" valign="bottom">Initial response rate of eltrombopag</td>
<td align="center" valign="middle">57.70%</td>
<td align="center" valign="middle">46.16%</td>
<td align="center" valign="middle">69.24%</td>
<td align="center" valign="middle">Beta</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref23">23</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom">Mean duration of response, eltrombopag (Cycles)</td>
<td align="center" valign="middle">42.66</td>
<td align="center" valign="middle">34.13</td>
<td align="center" valign="middle">51.19</td>
<td align="center" valign="middle">Lognormal</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref16">16</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom">OR: Eltrombopag <italic>vs.</italic> Hetrombopag</td>
<td align="center" valign="middle">0.74</td>
<td align="center" valign="middle">0.38</td>
<td align="center" valign="middle">1.43</td>
<td align="center" valign="middle">Lognormal</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref22">22</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom">OR: Eltrombopag <italic>vs.</italic> Avatrombopag</td>
<td align="center" valign="middle">0.56</td>
<td align="center" valign="middle">0.29</td>
<td align="center" valign="middle">1.09</td>
<td align="center" valign="middle">Lognormal</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref22">22</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom">Initial response rate of subsequent treatment</td>
<td align="center" valign="middle">79.20%</td>
<td align="center" valign="middle">63.36%</td>
<td align="center" valign="middle">95.04%</td>
<td align="center" valign="middle">Beta</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref24">24</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom">Mean duration of response of subsequent treatment (cycles)</td>
<td align="center" valign="middle">46.72</td>
<td align="center" valign="middle">37.38</td>
<td align="center" valign="middle">56.07</td>
<td align="center" valign="middle">Lognormal</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref24">24</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="6">Mortality</td>
</tr>
<tr>
<td align="left" valign="bottom">SMR for BSC</td>
<td align="center" valign="middle">4.2</td>
<td align="center" valign="middle">1.7</td>
<td align="center" valign="middle">10.0</td>
<td align="center" valign="middle">Lognormal</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref26">26</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="6">Bleeding event probabilities (per cycle)</td>
</tr>
<tr>
<td align="left" valign="bottom">Probability of outpatient bleeding (Response / subsequent treatment)</td>
<td align="center" valign="middle">0.0108</td>
<td align="center" valign="middle">0.0086</td>
<td align="center" valign="middle">0.0130</td>
<td align="center" valign="middle">Beta</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref20">20</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom">Probability of outpatient bleeding (BSC)</td>
<td align="center" valign="middle">0.0381</td>
<td align="center" valign="middle">0.0305</td>
<td align="center" valign="middle">0.0457</td>
<td align="center" valign="middle">Beta</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref20">20</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom">Probability of inpatient bleeding (BSC)</td>
<td align="center" valign="middle">0.0015</td>
<td align="center" valign="middle">0.0012</td>
<td align="center" valign="middle">0.0018</td>
<td align="center" valign="middle">Beta</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref20">20</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>OR, odds ratio; SMR, standardized mortality ratio; BSC, best supportive care.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec7">
<label>2.3.2</label>
<title>Bleeding events</title>
<p>Bleeding events were stratified into two categories: minor bleeding (outpatient care) and severe bleeding (hospitalization). Bleeding risk was modeled as a function of the health state. Consistent with prior studies (<xref ref-type="bibr" rid="ref20">20</xref>), patients in the &#x201C;Response&#x201D; and &#x201C;Subsequent Treatment&#x201D; states were assumed to have a lower risk and experienced only minor bleeding events. Conversely, patients in the &#x201C;BSC&#x201D; state were subject to a higher risk of both minor and severe bleeding events due to uncontrolled platelet counts.</p>
</sec>
<sec id="sec8">
<label>2.3.3</label>
<title>Mortality</title>
<p>Age-specific background mortality rates derived from Chinese national life tables (<xref ref-type="bibr" rid="ref25">25</xref>) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S4</xref>) were applied to patients in the &#x201C;Response&#x201D; and &#x201C;Subsequent Treatment&#x201D; states. Patients in the &#x201C;BSC&#x201D; state were assigned an elevated mortality risk to reflect the clinical consequences of persistent thrombocytopenia (<xref ref-type="bibr" rid="ref26">26</xref>).</p>
</sec>
</sec>
<sec id="sec9">
<label>2.4</label>
<title>Costs and resource use</title>
<p>The study considered only direct medical costs, including drug acquisition, routine monitoring, management of bleeding events, and terminal care. Drug dosages were based on mean maintenance doses reported in package inserts and pivotal clinical trials (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>). Unit costs were derived from local public hospital charge lists or public procurement databases in China and adjusted to 2024 CNY. Detailed cost parameters are presented in <xref ref-type="table" rid="tab2">Table 2</xref>.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Costs inputs.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Parameter name</th>
<th align="center" valign="top">Base-case value (CNY)</th>
<th align="center" valign="top">Lower value (CNY)</th>
<th align="center" valign="top">Upper value (CNY)</th>
<th align="center" valign="top">Distribution</th>
<th align="center" valign="top">Source</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom" colspan="6">Drug acquisition costs (per cycle)</td>
</tr>
<tr>
<td align="left" valign="bottom">Eltrombopag</td>
<td align="center" valign="middle">6,365.52</td>
<td align="center" valign="middle">5,092.42</td>
<td align="center" valign="middle">7,638.62</td>
<td align="center" valign="middle">Gamma</td>
<td align="center" valign="middle">Local hospital</td>
</tr>
<tr>
<td align="left" valign="bottom">Hetrombopag</td>
<td align="center" valign="middle">6,527.92</td>
<td align="center" valign="middle">5,222.34</td>
<td align="center" valign="middle">7,833.50</td>
<td align="center" valign="middle">Gamma</td>
<td align="center" valign="middle">Local hospital</td>
</tr>
<tr>
<td align="left" valign="bottom">Avatrombopag</td>
<td align="center" valign="middle">11,088.00</td>
<td align="center" valign="middle">8,870.40</td>
<td align="center" valign="middle">13,305.60</td>
<td align="center" valign="middle">Gamma</td>
<td align="center" valign="middle">Local hospital</td>
</tr>
<tr>
<td align="left" valign="bottom">Rituximab</td>
<td align="center" valign="middle">4,120.00</td>
<td align="center" valign="middle">3,296.00</td>
<td align="center" valign="middle">4,944.00</td>
<td align="center" valign="middle">Gamma</td>
<td align="center" valign="middle">Local hospital</td>
</tr>
<tr>
<td align="left" valign="bottom">rhTPO</td>
<td align="center" valign="middle">14,026.21</td>
<td align="center" valign="middle">11,220.97</td>
<td align="center" valign="middle">16,831.45</td>
<td align="center" valign="middle">Gamma</td>
<td align="center" valign="middle">Local hospital</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="6">Drug administration costs (per cycle)</td>
</tr>
<tr>
<td align="left" valign="bottom">TPO-RAs</td>
<td align="center" valign="middle">41.04</td>
<td align="center" valign="middle">32.83</td>
<td align="center" valign="middle">49.25</td>
<td align="center" valign="middle">Gamma</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref20">20</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom">Rituximab + rhTPO</td>
<td align="center" valign="middle">1,094.40</td>
<td align="center" valign="middle">875.52</td>
<td align="center" valign="middle">1,313.28</td>
<td align="center" valign="middle">Gamma</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref20">20</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom">Health State Management Costs (per cycle)</td>
<td align="center" valign="middle">463.00</td>
<td align="center" valign="middle">370.40</td>
<td align="center" valign="middle">555.60</td>
<td align="center" valign="middle">Gamma</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref20">20</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="6">Event and terminal care costs</td>
</tr>
<tr>
<td align="left" valign="bottom">Outpatient bleeding</td>
<td align="center" valign="middle">132.62</td>
<td align="center" valign="middle">106.10</td>
<td align="center" valign="middle">159.15</td>
<td align="center" valign="middle">Gamma</td>
<td align="center" valign="middle">Local hospital</td>
</tr>
<tr>
<td align="left" valign="bottom">Intracranial hemorrhage</td>
<td align="center" valign="middle">21,017.80</td>
<td align="center" valign="middle">16,814.24</td>
<td align="center" valign="middle">25,221.36</td>
<td align="center" valign="middle">Gamma</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref25">25</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom">Gastrointestinal bleeding</td>
<td align="center" valign="middle">8,398.50</td>
<td align="center" valign="middle">6,718.80</td>
<td align="center" valign="middle">10,078.20</td>
<td align="center" valign="middle">Gamma</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref25">25</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom">Other inpatient bleeding</td>
<td align="center" valign="middle">8,398.50</td>
<td align="center" valign="middle">6,718.80</td>
<td align="center" valign="middle">10,078.20</td>
<td align="center" valign="middle">Gamma</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref25">25</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom">Terminal care</td>
<td align="center" valign="middle">37,442.00</td>
<td align="center" valign="middle">29,954.00</td>
<td align="center" valign="middle">44,930.00</td>
<td align="center" valign="middle">Gamma</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref31">31</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Due to the lack of data for &#x201C;other inpatient bleeding&#x201D;, it was assumed to be equivalent to the cost of gastrointestinal bleeding. TPO-RAs, thrombopoietin receptor agonists; rhTPO, recombinant human thrombopoietin; CNY, Chinese Yuan.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec10">
<label>2.5</label>
<title>Utilities</title>
<p>Health outcomes were measured in quality-adjusted life-years (QALYs). Given the lack of high-quality utility data specific to the Chinese ITP population, baseline utility values were sourced from a study of UK patients (<xref ref-type="bibr" rid="ref27">27</xref>). The model assigned baseline utilities according to health states and bleeding events. Detailed utility inputs are provided in <xref ref-type="table" rid="tab3">Table 3</xref>.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Utility inputs.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Parameter name</th>
<th align="center" valign="top">Base-case value</th>
<th align="center" valign="top">Lower value</th>
<th align="center" valign="top">Upper value</th>
<th align="center" valign="top">Distribution</th>
<th align="center" valign="top">Source</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom" colspan="6">Response/subsequent treatment</td>
</tr>
<tr>
<td align="left" valign="bottom">No bleeding</td>
<td align="center" valign="middle">0.863</td>
<td align="center" valign="middle">0.457</td>
<td align="center" valign="middle">1.000</td>
<td align="center" valign="middle">Beta</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref27">27</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom">Minor bleeding</td>
<td align="center" valign="middle">0.734</td>
<td align="center" valign="middle">0.295</td>
<td align="center" valign="middle">0.986</td>
<td align="center" valign="middle">Beta</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref27">27</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="6">BSC</td>
</tr>
<tr>
<td align="left" valign="bottom">No bleeding</td>
<td align="center" valign="middle">0.841</td>
<td align="center" valign="middle">0.320</td>
<td align="center" valign="middle">0.999</td>
<td align="center" valign="middle">Beta</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref27">27</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom">Minor bleeding</td>
<td align="center" valign="middle">0.732</td>
<td align="center" valign="middle">0.294</td>
<td align="center" valign="middle">0.985</td>
<td align="center" valign="middle">Beta</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref27">27</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom">Intracranial hemorrhage</td>
<td align="center" valign="middle">0.038</td>
<td align="center" valign="middle">0.030</td>
<td align="center" valign="middle">0.046</td>
<td align="center" valign="middle">Beta</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref27">27</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom">Gastrointestinal bleeding</td>
<td align="center" valign="middle">0.540</td>
<td align="center" valign="middle">0.432</td>
<td align="center" valign="middle">0.648</td>
<td align="center" valign="middle">Beta</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref27">27</xref>)</td>
</tr>
<tr>
<td align="left" valign="bottom">Other severe bleeding</td>
<td align="center" valign="middle">0.540</td>
<td align="center" valign="middle">0.432</td>
<td align="center" valign="middle">0.648</td>
<td align="center" valign="middle">Beta</td>
<td align="center" valign="middle">(<xref ref-type="bibr" rid="ref27">27</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>BSC, best supportive care.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec11">
<label>2.6</label>
<title>Economic evaluation and sensitivity analyses</title>
<p>The primary outcome was the incremental net monetary benefit (iNMB), calculated as iNMB&#x202F;=&#x202F;(&#x0394;E&#x202F;&#x00D7;&#x202F;WTP) &#x2013; &#x0394;C, where &#x0394;E and &#x0394;C represent the incremental effectiveness and costs, respectively. The WTP threshold was set at three times the per capita GDP of China in 2024.</p>
<p>To assess the impact of parameter uncertainty, we performed both deterministic sensitivity analysis (DSA) and probabilistic sensitivity analysis (PSA). In the DSA, key parameters were varied within their confidence intervals or by &#x00B1;20% of the base-case value, with results presented in tornado diagrams. For the PSA, 5,000 iterations were performed using Monte Carlo simulation. Probability distributions were assigned based on parameter types: beta distributions for probabilities and utilities, gamma distributions for costs, and log-normal distributions for relative effect measures. PSA results were presented using cost-effectiveness acceptability curves and scatterplots.</p>
</sec>
<sec id="sec12">
<label>2.7</label>
<title>Key model assumptions</title>
<p>Standardized Subsequent Therapy: Subsequent treatment for all patients failing initial TPO-RA therapy was standardized to a single regimen of rituximab + rhTPO. This approach was adopted to minimize potential bias from heterogeneous downstream pathways.</p>
<p>Extrapolation of response: Long-term duration of response was estimated by extrapolating survival functions fitted to data from clinical trial extension studies.</p>
<p>Average clinical trial dosing: Drug costs were calculated based on the average doses reported in the pivotal clinical trials for each respective agent.</p>
</sec>
</sec>
<sec sec-type="results" id="sec13">
<label>3</label>
<title>Results</title>
<sec id="sec14">
<label>3.1</label>
<title>Base-case analysis</title>
<p>Base-case results over a lifetime horizon are summarized in <xref ref-type="table" rid="tab4">Table 4</xref>. Hetrombopag was the lowest-cost strategy (CNY 2,205,717), followed by eltrombopag (CNY 2,214,322) and avatrombopag (CNY 2,379,335). In terms of effectiveness, avatrombopag yielded the highest health gains (10.449 QALYs), followed by hetrombopag (10.335 QALYs) and eltrombopag (10.159 QALYs).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Base-case cost-effectiveness results.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Strategy/comparison</th>
<th align="center" valign="top">Total Cost (CNY)</th>
<th align="center" valign="top">Total QALYs</th>
<th align="center" valign="top">Incremental cost (CNY)</th>
<th align="center" valign="top">Incremental QALYs</th>
<th align="center" valign="top">iNMB (CNY)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" colspan="6">Base results</td>
</tr>
<tr>
<td align="left" valign="middle">Hetrombopag</td>
<td align="center" valign="middle">2,205,717</td>
<td align="center" valign="middle">10.335</td>
<td align="center" valign="middle">&#x2014;</td>
<td align="center" valign="top">&#x2014;</td>
<td align="center" valign="top">&#x2014;</td>
</tr>
<tr>
<td align="left" valign="middle">Eltrombopag</td>
<td align="center" valign="middle">2,214,322</td>
<td align="center" valign="middle">10.159</td>
<td align="center" valign="top">&#x2014;</td>
<td align="center" valign="top">&#x2014;</td>
<td align="center" valign="top">&#x2014;</td>
</tr>
<tr>
<td align="left" valign="middle">Avatrombopag</td>
<td align="center" valign="middle">2,379,335</td>
<td align="center" valign="middle">10.449</td>
<td align="center" valign="top">&#x2014;</td>
<td align="center" valign="top">&#x2014;</td>
<td align="center" valign="top">&#x2014;</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Comparisons</td>
</tr>
<tr>
<td align="left" valign="middle">Hetrombopag <italic>vs.</italic> Eltrombopag</td>
<td align="center" valign="top">&#x2014;</td>
<td align="center" valign="top">&#x2014;</td>
<td align="center" valign="middle">&#x2212;8,605</td>
<td align="center" valign="middle">0.176</td>
<td align="center" valign="middle">59,275</td>
</tr>
<tr>
<td align="left" valign="middle">Hetrombopag <italic>vs.</italic> Avatrombopag</td>
<td align="center" valign="top">&#x2014;</td>
<td align="center" valign="top">&#x2014;</td>
<td align="center" valign="middle">&#x2212;173,618</td>
<td align="center" valign="middle">&#x2212;0.114</td>
<td align="center" valign="middle">140,864</td>
</tr>
<tr>
<td align="left" valign="middle">Eltrombopag <italic>vs.</italic> Avatrombopag</td>
<td align="center" valign="top">&#x2014;</td>
<td align="center" valign="top">&#x2014;</td>
<td align="center" valign="middle">&#x2212;165,012</td>
<td align="center" valign="middle">&#x2212;0.290</td>
<td align="center" valign="middle">81,588</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CNY, Chinese Yuan; QALYs, quality-adjusted life-years; iNMB, incremental net monetary benefit.</p>
</table-wrap-foot>
</table-wrap>
<p>In the comparison between hetrombopag and eltrombopag, hetrombopag was associated with lower total costs (&#x2212;CNY 8,605) and greater health benefits (+0.176 QALYs). Consequently, hetrombopag dominated eltrombopag, yielding an iNMB of CNY 59,275 at the WTP threshold of CNY 287,391/QALY.</p>
<p>When comparing hetrombopag with avatrombopag, although avatrombopag provided an incremental gain of 0.114 QALYs, it incurred substantial additional costs of CNY 173,618. Conversely, hetrombopag generated significant cost savings that outweighed the QALY difference, resulting in a positive iNMB of CNY 140,864. Similarly, eltrombopag was cost-effective compared with avatrombopag (iNMB: CNY 81,588), as its lower cost profile offset its lower efficacy.</p>
</sec>
<sec id="sec15">
<label>3.2</label>
<title>Deterministic sensitivity analysis</title>
<p>The robustness of the base-case results was assessed using DSA. Key drivers are illustrated in tornado diagrams.</p>
<p>Hetrombopag <italic>vs.</italic> Eltrombopag (<xref ref-type="fig" rid="fig2">Figure 2</xref>): The iNMB was most sensitive to the relative efficacy, specifically the OR of response derived from the NMA. The wide confidence interval for this parameter caused the iNMB to cross zero, indicating that extreme values favoring eltrombopag could reverse the conclusion of dominance. Other parameters, such as BSC mortality risk and drug acquisition costs, influenced the magnitude of the iNMB but did not alter the direction of the results.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Tornado diagram of deterministic sensitivity analysis: hetrombopag <italic>vs.</italic> eltrombopag. The bar for &#x201C;OR: Eltrombopag <italic>vs.</italic> Hetrombopag&#x201D; crosses the zero line, indicating that extreme values for relative efficacy can reverse the base-case conclusion. OR, odds ratio; BSC, best supportive care; rhTPO, recombinant human thrombopoietin.</p>
</caption>
<graphic xlink:href="fpubh-14-1763592-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart comparing the incremental net monetary benefit of Hetrombopag versus Eltrombopag across ten parameters, with bars representing lower and upper values for each parameter. Key drivers include odds ratio, mortality risk, and drug costs.</alt-text>
</graphic>
</fig>
<p>Hetrombopag <italic>vs.</italic> Avatrombopag (<xref ref-type="fig" rid="fig3">Figure 3</xref>): The economic superiority of hetrombopag proved robust. While the OR of response and the acquisition cost of avatrombopag were influential, the iNMB remained consistently positive across the tested ranges. This indicates that hetrombopag remains the cost-effective choice even under conservative assumptions regarding relative efficacy or price reductions for avatrombopag.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Tornado diagram of deterministic sensitivity analysis: Hetrombopag <italic>vs.</italic> avatrombopag. Variations in the OR and drug acquisition costs have the most significant impact but do not alter the base-case conclusion. OR, odds ratio; BSC, best supportive care.</p>
</caption>
<graphic xlink:href="fpubh-14-1763592-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart comparing the incremental net monetary benefit sensitivity for Hetrombopag versus Avatrombopag across ten parameters, with lower estimates in gray and upper estimates in orange, measured in CNY from 50,000 to 250,000.</alt-text>
</graphic>
</fig>
<p>Eltrombopag <italic>vs.</italic> Avatrombopag (<xref ref-type="fig" rid="fig4">Figure 4</xref>): This comparison was sensitive to the BSC mortality risk and the cost of avatrombopag. The iNMB bars for these parameters crossed the zero line, suggesting that specific clinical scenarios or pricing adjustments could render avatrombopag a cost-effective alternative to eltrombopag.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Tornado diagram of deterministic sensitivity analysis: Eltrombopag <italic>vs.</italic> avatrombopag. The iNMB is sensitive to the mortality risk and the cost of avatrombopag; bars for these parameters cross the zero line, indicating potential reversal of the preferred strategy. BSC, best supportive care; OR, odds ratio; rhTPO, recombinant human thrombopoietin.</p>
</caption>
<graphic xlink:href="fpubh-14-1763592-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Horizontal bar chart comparing incremental net monetary benefits for eltrombopag versus avatrombopag across multiple variables, with orange bars for upper and gray bars for lower confidence intervals, showing values up to approximately one hundred eighty thousand.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec16">
<label>3.3</label>
<title>Probabilistic sensitivity analysis</title>
<p>The PSA, based on 5,000 Monte Carlo simulations, corroborated the deterministic findings.</p>
<p>The Cost-Effectiveness Acceptability Curve (<xref ref-type="fig" rid="fig5">Figure 5</xref>) illustrates the probability of each strategy being optimal across a range of WTP thresholds. Hetrombopag consistently maintained the highest probability of cost-effectiveness (approximately 60%&#x2013;80%). Eltrombopag was the second most likely optimal strategy at lower thresholds, but its probability declined as the WTP increased. Avatrombopag showed a low probability (&#x003C;25%) of being cost-effective across the standard threshold range.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Cost-effectiveness acceptability curve. Hetrombopag remains the strategy with the highest probability of being cost-effective across the standard threshold range.</p>
</caption>
<graphic xlink:href="fpubh-14-1763592-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Line graph titled &#x201C;CE Acceptability Curve&#x201D; shows percentage of iterations cost-effective versus willingness-to-pay for three drugs: Hetrombopag (red line, highest and increases then plateaus), Eltrombopag (blue line, decreases), and Avatrombopag (yellow line, slowly increases).</alt-text>
</graphic>
</fig>
<p>Scatterplots (<xref ref-type="fig" rid="fig6">Figures 6</xref>&#x2013;<xref ref-type="fig" rid="fig8">8</xref>) further visualized these results. In the comparison between hetrombopag and eltrombopag (<xref ref-type="fig" rid="fig6">Figure 6</xref>), the majority of iterations fell within the southeast quadrant (lower cost, higher QALYs), reinforcing the dominance of hetrombopag. Against avatrombopag (<xref ref-type="fig" rid="fig7">Figure 7</xref>), simulations clustered in the southwest quadrant (lower cost, lower QALYs) but predominantly fell below the WTP threshold line, confirming that the cost savings of hetrombopag justify the reduction in QALYs under the current Chinese WTP threshold. Finally, the scatterplot comparing eltrombopag and avatrombopag (<xref ref-type="fig" rid="fig8">Figure 8</xref>) reinforces the economic advantage of eltrombopag. The majority of iterations clustered in quadrants indicating that eltrombopag represents a cost-effective alternative to avatrombopag.</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Incremental cost-effectiveness scatterplot: Hetrombopag <italic>vs.</italic> eltrombopag. Each dot represents one Monte Carlo simulation. The dashed line represents the WTP threshold. Points falling below the line indicate that hetrombopag is cost-effective.</p>
</caption>
<graphic xlink:href="fpubh-14-1763592-g006.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">ICE scatterplot comparing Hetrombopag and Eltrombopag, showing incremental cost on the y-axis and incremental effectiveness on the x-axis with scattered blue and orange data points, a green confidence ellipse, and a diagonal willingness-to-pay threshold line labeled WTP=287391.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Incremental cost-effectiveness scatterplot: Hetrombopag <italic>vs.</italic> Avatrombopag. Comparison of hetrombopag against avatrombopag. Most points falling below the WTP threshold line indicate that hetrombopag is cost-effective.</p>
</caption>
<graphic xlink:href="fpubh-14-1763592-g007.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">ICE scatterplot comparing Hetrombopag and Avatrombopag, with incremental cost on the y-axis and incremental effectiveness on the x-axis. Blue and yellow data points are clustered mostly around the origin, with a majority forming a dense blue cluster near positive incremental effectiveness and negative incremental cost. A green ellipse highlights the main concentration of points, with a diagonal willingness-to-pay threshold line labeled WTP = 287391.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption>
<p>Incremental cost-effectiveness scatterplot: Eltrombopag <italic>vs.</italic> Avatrombopag. Comparison of eltrombopag against avatrombopag. Most points falling below the WTP threshold line indicate that eltrombopag is cost-effective.</p>
</caption>
<graphic xlink:href="fpubh-14-1763592-g008.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Scatterplot comparing incremental cost and incremental effectiveness for Eltrombopag versus Avatrombopag, with data points in yellow and blue, a green confidence ellipse, dashed WTP threshold line labeled WTP=287391, and intersecting dashed axes.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec17">
<label>4</label>
<title>Discussion</title>
<p>This study provides the first comparative cost-utility analysis of three oral TPO-RAs&#x2014;eltrombopag, hetrombopag, and avatrombopag&#x2014;specifically within the Chinese healthcare system. Our results indicate that hetrombopag is currently the most economically efficient strategy for the second-line treatment of adult ITP. It demonstrated dominance over eltrombopag by providing greater health benefits at a lower cost. Furthermore, compared with avatrombopag, hetrombopag offered a substantial iNMB. Although avatrombopag yielded the highest aggregate QALYs, its incremental cost per QALY significantly exceeded the Chinese WTP threshold, making it economically less favorable under current pricing.</p>
<p>Our findings diverge from international pharmacoeconomic evaluations. A recent UK-based study by Cooper et al. reported that avatrombopag offered superior health outcomes and was cost-effective compared with eltrombopag (<xref ref-type="bibr" rid="ref18">18</xref>). In contrast, our analysis in China suggests that despite the clinical efficacy advantages of avatrombopag, it is not cost-effective at current local price levels. This disparity underscores the critical role of local acquisition costs in determining value and highlights that conclusions from Western markets cannot be directly extrapolated to the Chinese setting.</p>
<p>To further address economic disparities across Chinese provinces, we evaluated the impact of alternative WTP thresholds. As illustrated in the Cost-Effectiveness Acceptability Curve (<xref ref-type="fig" rid="fig5">Figure 5</xref>), hetrombopag maintains the highest probability of being cost-effective across a wide range of WTP values. This is further corroborated by our scenario analysis using a stricter threshold equivalent to the per capita GDP, which confirmed that lowering the threshold solidifies the preference for hetrombopag, as the high incremental cost per QALY of avatrombopag becomes even less acceptable (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S5</xref>).</p>
<p>Beyond the specific context of China, this study may offer certain implications for other middle-income countries. First, the hybrid decision tree-Markov model structure developed here could potentially serve as a methodological framework adaptable to other healthcare settings, subject to careful recalibration of local cost and utility inputs. Second, while drug prices differ globally, the economic trade-off discussed in our analysis&#x2014;weighing the higher acquisition costs of novel agents against the administration burden of lower-cost alternatives&#x2014;might offer a relevant perspective for policymakers in other resource-limited settings when optimizing their formularies.</p>
<p>Beyond direct acquisition costs, the convenience of administration and its impact on adherence warrant consideration. Our model assumed 100% adherence, which may overestimate real-world effectiveness for regimens with complex dosing requirements. Eltrombopag requires strict dietary restrictions, necessitating administration on an empty stomach (at least 2&#x202F;h before or 4&#x202F;h after consuming polyvalent cations). Hetrombopag shares similar but slightly less stringent requirements (administration on an empty stomach with food permitted 2&#x202F;h post-dose). In contrast, avatrombopag can be taken with food, offering a distinct convenience advantage that may translate to better adherence. In real-world practice, the strict fasting requirements for eltrombopag and hetrombopag may impose a higher administration burden. This could potentially lead to non-adherence and subsequent sub-therapeutic drug levels, which could compromise clinical effectiveness compared to the controlled trial setting. However, the substantial cost differential observed in our base case suggests that even if the &#x201C;no fasting&#x201D; benefit of avatrombopag resulted in slightly superior real-world effectiveness, it is unlikely to offset the economic advantage of hetrombopag. This is supported by our sensitivity analysis, where hetrombopag remained cost-effective even when relative efficacy parameters varied in a direction favorable to avatrombopag.</p>
<p>The exclusion of splenectomy from our model&#x2019;s treatment pathway reflects specific clinical practices in China. Although international guidelines recommend splenectomy as a definitive option for refractory ITP (<xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref29">29</xref>), its utilization in China has significantly declined. Cultural aversion to organ removal and concerns regarding surgical risks often render splenectomy a last-resort option rather than a standard second-line therapy. Consequently, TPO-RAs in China are not merely a &#x201C;bridge&#x201D; to surgery but often serve as lifelong maintenance therapy. This practice pattern underscores the importance of the lifetime horizon used in our model. In a system where patients may remain on pharmacological treatment for decades, the cumulative acquisition cost becomes the dominant driver of total healthcare expenditure, further solidifying the advantage of the lowest-cost efficacious agent, hetrombopag.</p>
<p>Several limitations of this study should be acknowledged. First, relative efficacy parameters were derived from an NMA (<xref ref-type="bibr" rid="ref22">22</xref>) rather than head-to-head randomized controlled trials, introducing inherent uncertainty into the comparative estimates. Second, we assumed equivalent safety profiles across the three TPO-RAs, as recent systematic reviews indicated no statistically significant differences in overall adverse event rates (<xref ref-type="bibr" rid="ref22">22</xref>). Third, the use of a standardized subsequent treatment regimen (rituximab + rhTPO) simplifies the heterogeneity of clinical practice across different regions in China, although this regimen aligns with current Chinese clinical guidelines (<xref ref-type="bibr" rid="ref13">13</xref>). To address this uncertainty, we performed a scenario analysis varying the costs and efficacy of subsequent treatment by &#x00B1;30% (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S5</xref>), which confirmed that the economic superiority of hetrombopag remained robust. Fourth, due to the lack of local data, utility values were derived from UK patients. Although cultural differences in health perception may introduce bias, sensitivity analyses indicated that variations in utility values were not key drivers of the model and did not alter the study&#x2019;s conclusions. Fifth, the long-term extrapolation of response durability was based on eltrombopag data, assuming a class effect for the shape of the survival curve. Notably, our estimated mean duration of response for eltrombopag differs from prior estimates by Lee et al. (<xref ref-type="bibr" rid="ref17">17</xref>), as our analysis incorporated the final results from the EXTEND study (<xref ref-type="bibr" rid="ref16">16</xref>) rather than the interim data (<xref ref-type="bibr" rid="ref30">30</xref>) used in previous models. This approach, while robust for eltrombopag, may not perfectly reflect the long-term trajectory of newer agents such as hetrombopag and avatrombopag. Finally, we did not explicitly quantify the utility decrement associated with the dietary restrictions of eltrombopag and hetrombopag, which may slightly favor these agents over avatrombopag in the utility analysis.</p>
</sec>
<sec sec-type="conclusions" id="sec18">
<label>5</label>
<title>Conclusion</title>
<p>From the perspective of the Chinese healthcare system, hetrombopag represents the preferred strategy for the second-line treatment of adult chronic ITP, offering the optimal balance between cost and health outcomes. It dominates eltrombopag and provides a superior net monetary benefit compared with avatrombopag under current pricing conditions. These findings support the prioritization of hetrombopag in formulary decision-making and resource allocation, particularly in resource-constrained settings.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec19">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="ethics-statement" id="sec20">
<title>Ethics statement</title>
<p>Ethical approval was not required for the study involving humans in accordance with the local legislation and institutional requirements. Written informed consent to participate in this study was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec21">
<title>Author contributions</title>
<p>SJ: Conceptualization, Writing &#x2013; original draft, Methodology, Software, Data curation. ZH: Data curation, Writing &#x2013; review &#x0026; editing, Investigation, Software, Visualization. YJ: Validation, Methodology, Writing &#x2013; review &#x0026; editing. WL: Methodology, Validation, Writing &#x2013; review &#x0026; editing. ZS: Writing &#x2013; review &#x0026; editing, Software, Supervision, Data curation. SZ: Conceptualization, Methodology, Writing &#x2013; review &#x0026; editing. MW: Writing &#x2013; review &#x0026; editing, Data curation, Conceptualization, Methodology, Project administration, Supervision.</p>
</sec>
<sec sec-type="COI-statement" id="sec22">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec23">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec24">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec25">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2026.1763592/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpubh.2026.1763592/full#supplementary-material</ext-link></p>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3009699/overview">George Mavridoglou</ext-link>, University of the Peloponnese, Greece</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1577340/overview">George Gourzoulidis</ext-link>, Health Through Evidence, Greece</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3242966/overview">Entela Haloci</ext-link>, University of Medicine, Tirana, Albania</p>
</fn>
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