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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">892526</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2022.892526</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>A real-world cost-effectiveness analysis of nebulized budesonide and intravenous methylprednisolone in acute exacerbation of chronic obstructive pulmonary disease</article-title>
<alt-title alt-title-type="left-running-head">Gu et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2022.892526">10.3389/fphar.2022.892526</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Gu</surname>
<given-names>Yong-Li</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1683107/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Zeng-Xian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wen</surname>
<given-names>Yan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guan</surname>
<given-names>Xin</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Dao-Li</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cheng</surname>
<given-names>Cong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Gu</surname>
<given-names>Huan</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Pharmacy</institution>, <institution>The First People&#x2019;s Hospital of Lianyungang</institution>, <addr-line>Lianyungang</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Respiratory</institution>, <institution>The First People&#x2019;s Hospital of Lianyungang</institution>, <addr-line>Lianyungang</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>School of International Pharmaceutical Business</institution>, <institution>China Pharmaceutical University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Pharmacy</institution>, <institution>The Affiliated Hospital of Xuzhou Medical University</institution>, <addr-line>Xuzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Pharmacy</institution>, <institution>Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine</institution>, <addr-line>Lianyungang</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/1302235/overview">Chris Gillette</ext-link>, Wake Forest School of Medicine, United States</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/1316815/overview">Sergey Avdeev</ext-link>, I.M. Sechenov First Moscow State Medical University, Russia</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1939976/overview">Fedor Malykhin</ext-link>, Stavropol State Medical University, Russia</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Huan Gu, <email>470349074@qq.com</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Pharmacoepidemiology, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>09</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>892526</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>03</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>08</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Gu, Sun, Sun, Wen, Guan, Jiang, Cheng and Gu.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Gu, Sun, Sun, Wen, Guan, Jiang, Cheng and Gu</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 terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Objective:</bold> To assess the cost-effectiveness of nebulized budesonide and intravenous methylprednisolone in the treatment of acute exacerbation of chronic obstructive pulmonary disease (AECOPD) in a real-world setting.</p>
<p>
<bold>Materials and methods:</bold> Data from 291 patients with AECOPD were collected from the information system of a tertiary hospital in China. Patients were categorized into two groups: those treated with nebulized budesonide (<italic>n</italic> &#x3d; 148) and those treated with intravenous methylprednisolone (<italic>n</italic> &#x3d; 143). Clinical efficacy and the rate of no readmission within 1&#xa0;year after discharge were used as effect indicators, and a cost-effectiveness analysis was conducted from the perspective of the Chinese healthcare system. Logistic regression, generalized linear regression, and bootstrap methods were used for sensitivity analyses.</p>
<p>
<bold>Results:</bold> There was no statistical difference between the budesonide and methylprednisolone groups in clinical efficacy rates (94.6% vs. 93.7%). The cost-minimization analysis shows that budesonide is not cost-effective owing to higher total cost. In terms of readmission rates, budesonide was again not cost-effective, with an incremental cost-effectiveness ratio (ICER) of 22276.62 CNY, which is higher than the willingness to pay (WTP) of 20206.20 CNY, the mean per admission expenditure in China. The sensitivity analyses confirm that these results are robust.</p>
<p>
<bold>Conclusion:</bold> Compared with intravenous methylprednisolone, nebulized budesonide is not a cost-effective strategy for AECOPD patients in China.</p>
</abstract>
<kwd-group>
<kwd>budesonide</kwd>
<kwd>methylprednisolone</kwd>
<kwd>chronic obstructive pulmonary disease</kwd>
<kwd>acute exacerbation</kwd>
<kwd>minimum cost analysis</kwd>
<kwd>cost-effectiveness analysis</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality worldwide and entails a significant economic and social burden (<xref ref-type="bibr" rid="B15">Lozano et al., 2012</xref>; <xref ref-type="bibr" rid="B23">Vos et al., 2012</xref>). In China, COPD is the fifth most common cause of death, accounting for 31.1% of the world&#x2019;s total deaths from COPD (<xref ref-type="bibr" rid="B24">Yin et al., 2016</xref>; <xref ref-type="bibr" rid="B7">GBD 2017 Causes of Death Collaborators, 2018</xref>). Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is an episode of worsening symptoms that negatively impacts health status (<xref ref-type="bibr" rid="B22">Vogelmeier et al., 2017</xref>). AECOPD is a frequent cause of hospital admission and accounts for 50%&#x2013;75% of the health care costs incurred by patients with COPD (<xref ref-type="bibr" rid="B2">Celli et al., 2004</xref>).</p>
<p>COPD patients usually experience about 0.5&#x2013;3.5 exacerbations per year (<xref ref-type="bibr" rid="B11">Hurst et al., 2010</xref>). However, greater frequency of exacerbations is associated with accelerated lung function decline (<xref ref-type="bibr" rid="B5">Donaldson et al., 2002</xref>), quality of life impairment (<xref ref-type="bibr" rid="B19">Seemungal et al., 1998</xref>) and increased mortality (<xref ref-type="bibr" rid="B20">Soler-Catalu&#xf1;a et al., 2005</xref>). Systemic corticosteroids (SCs) in COPD exacerbations shorten recovery time and improve lung function (<xref ref-type="bibr" rid="B8">Global, 2021</xref>), and a dose of 40&#xa0;mg prednisone per day for 5&#xa0;days is recommended for management of exacerbations of COPD (<xref ref-type="bibr" rid="B13">Leuppi et al., 2013</xref>). However, because of adverse effects such as osteoporosis and bone fractures, glucose intolerance, and myopathy (<xref ref-type="bibr" rid="B12">Kwong et al., 1987</xref>; <xref ref-type="bibr" rid="B3">Decramer et al., 1994</xref>; <xref ref-type="bibr" rid="B9">Henzen et al., 2000</xref>), nebulized budesonide alone may be a suitable alternative to SCs and provides similar benefits to intravenous methylprednisolone (<xref ref-type="bibr" rid="B4">Ding et al., 2016</xref>). Because the cost of budesonide is higher than that of methylprednisolone, the Global Initiative for Chronic Obstructive Lung Disease guideline (GOLD) states that the choice between these options may depend on local cost issues (<xref ref-type="bibr" rid="B8">Global, 2021</xref>).</p>
<p>The present real-world study assesses the efficacy, safety, and cost-effectiveness of nebulized budesonide versus intravenous methylprednisolone for AECOPD patients from the perspective of the Chinese healthcare system.</p>
</sec>
<sec id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Data and sources</title>
<p>For this single-center retrospective study of patients with AECOPD, data collection was carried out from 1 January 2020 to 31 December 2020 at Lianyungang First People&#x2019;s Hospital, a tertiary general hospital. Data were collected from patients&#x2019; electronic medical records and retrieved for analysis in a real-world setting. Eligible patients were aged between 45 and 80&#xa0;years old, with a confirmed diagnosis of COPD and currently in acute exacerbation. Patients were ineligible if they received SCs in the past month, or had a history of pneumothorax, pulmonary embolism, or other respiratory diseases. Patients were categorized into two groups: those treated with budesonide suspension (2&#xa0;mg, tid, nebulized inhalation) and those treated with methylprednisolone (40&#xa0;mg, qd, intravenous infusion). The duration was 5&#x2013;7&#xa0;days in both groups.</p>
</sec>
<sec id="s2-2">
<title>2.2 Effectiveness, safety, and cost assessment</title>
<p>In this study, clinical effectiveness was evaluated by professional clinicians according to the patient&#x2019;s respiratory symptoms (cough, sputum, and dyspnea), pulmonary function, and blood gas analysis. In addition, to assess the long-term effect, the two groups&#x2019; rates of no readmission within 1&#xa0;year after discharge were compared. Adverse events that occurred during the treatment were also extracted from medical records and investigated.</p>
<p>As the study context is the Chinese healthcare system, only data relating to direct medical costs were considered. The costs of medication, examinations, laboratory tests, ward beds, nursing, and other costs were collected from the hospital information system, and the total direct medical costs for each patient were calculated as the sum of all cost categories. Mean cost per patient over the entire period was calculated by summing the totals and then dividing the sum by the sample size in each arm. Discounting was not considered in this study because of the short time horizon. All resource costs were represented in Chinese yuan (CNY).</p>
</sec>
<sec id="s2-3">
<title>2.3 Statistical analysis</title>
<p>Continuous variables were presented as mean and standard deviation in each group and compared using a two-tailed Student&#x2019;s <italic>t</italic>-test if the variables conformed to a normal distribution. In other cases, the minimum, maximum, median, and interquartile ranges were calculated for each group and compared using the Wilcoxon signed-rank test. Categorical variables were presented as count (n) and percentage (%) and compared using Fisher&#x2019;s exact test or the chi-square test. If a difference in patient characteristics between the two groups was statistically significant, propensity score matching (PSM) was to be used to balance the bias. All analyses were processed using SPSS 23.0 software (IBM), and the significance level was defined as two-sided <italic>&#x3b1;</italic> &#x3d; 0.05.</p>
<p>Sensitivity analyses were performed to examine the stability and robustness of the results. First, a logistic regression model was used to control confounding factors, and generalized linear regression was used to identify the influence factors on direct medical costs. Second, the bootstrap method was used for repeated sampling (1,000 times) with replacement, and a cost-effectiveness acceptable curve (CEAC) was drawn according to the sampling results.</p>
</sec>
</sec>
<sec id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Patient characteristics</title>
<p>Patient characteristics are summarized in <xref ref-type="table" rid="T1">Table 1</xref>. A total of 291 patients were identified, 148 in the budesonide group and 143 in the methylprednisolone group. As all characteristics were balanced between the two groups, PSM was not used.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Baseline characteristics.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variables</th>
<th align="left">Nebulized budesonide (<italic>n</italic> &#x3d; 148)</th>
<th align="left">Intravenous methylprednisolone (<italic>n</italic> &#x3d; 143)</th>
<th align="left">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Male, n (%)</td>
<td align="left">117 (79.1)</td>
<td align="left">104 (72.7)</td>
<td align="left">0.207</td>
</tr>
<tr>
<td align="left">Mean age, years (SD)</td>
<td align="left">71.61 (9.69)</td>
<td align="left">71.87 (9.01)</td>
<td align="left">0.809</td>
</tr>
<tr>
<td align="left">BMI, kg/cm<sup>2</sup> (SD)</td>
<td align="left">23.50 (6.71)</td>
<td align="left">23.12 (4.03)</td>
<td align="left">0.564</td>
</tr>
<tr>
<td align="left">Mean COPD duration, years (SD)</td>
<td align="left">16.93 (14.06)</td>
<td align="left">15.08 (10.76)</td>
<td align="left">0.211</td>
</tr>
<tr>
<td align="left">Current smoker, n (%)</td>
<td align="left">92 (62.2)</td>
<td align="left">80 (55.9)</td>
<td align="left">0.281</td>
</tr>
<tr>
<td align="left">Mean number of pack-years smoked (SD)</td>
<td align="left">53.8 (26.12)</td>
<td align="left">49.78 (31.23)</td>
<td align="left">0.501</td>
</tr>
<tr>
<td align="left">COPD exacerbations in the past 12 months, n (%)</td>
<td align="left">35 (23.6)</td>
<td align="left">37 (25.9)</td>
<td align="left">0.660</td>
</tr>
<tr>
<td align="left">oxygen therapy, n (%)</td>
<td align="left">142 (95.9%)</td>
<td align="left">140 (97.9%)</td>
<td align="left">0.231</td>
</tr>
<tr>
<td align="left">respiratory support, n (%)</td>
<td align="left">31 (20.9%)</td>
<td align="left">42 (29.4%)</td>
<td align="left">0.097</td>
</tr>
<tr>
<td colspan="4" align="left">Comorbidity, n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;Hypertension</td>
<td align="left">39 (26.4)</td>
<td align="left">44 (30.8)</td>
<td align="left">0.404</td>
</tr>
<tr>
<td align="left">&#x2003;Diabetes</td>
<td align="left">15 (10.1)</td>
<td align="left">16 (11.2)</td>
<td align="left">0.771</td>
</tr>
<tr>
<td align="left">&#x2003;Cerebral infarction</td>
<td align="left">9 (6.1)</td>
<td align="left">16 (11.2)</td>
<td align="left">0.120</td>
</tr>
<tr>
<td align="left">&#x2003;peripheral blood eosinophils, cells/&#x3bc;l (SD)</td>
<td align="left">95.0 (102.2)</td>
<td align="left">116.32 (147.9)</td>
<td align="left"/>
</tr>
<tr>
<td colspan="4" align="left">Combination medication, n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;short-acting bronchodilator</td>
<td align="left">127 (85.8)</td>
<td align="left">112 (78.3)</td>
<td align="left">0.095</td>
</tr>
<tr>
<td align="left">&#x2003;Theophylline</td>
<td align="left">110 (74.3)</td>
<td align="left">111 (77.6)</td>
<td align="left">0.511</td>
</tr>
<tr>
<td align="left">&#x2003;Antimicrobials</td>
<td align="left">144 (97.3)</td>
<td align="left">141 (98.6)</td>
<td align="left">0.434</td>
</tr>
<tr>
<td colspan="4" align="left">Arterial blood-gas analysis before treatment (mean &#xb1; SD)</td>
</tr>
<tr>
<td align="left">&#x2003;PH</td>
<td align="left">7.39 &#xb1; 0.048</td>
<td align="left">7.39 &#xb1; 0.032</td>
<td align="left">0.334</td>
</tr>
<tr>
<td align="left">&#x2003;PaCO2</td>
<td align="left">54.19 &#xb1; 14.90</td>
<td align="left">51.00 &#xb1; 16.46</td>
<td align="left">0.280</td>
</tr>
<tr>
<td align="left">&#x2003;PaO2</td>
<td align="left">75.71 &#xb1; 15.22</td>
<td align="left">74.25 &#xb1; 16.38</td>
<td align="left">0.624</td>
</tr>
<tr>
<td colspan="4" align="left">Pulmonary functions before treatment (mean &#xb1; SD)</td>
</tr>
<tr>
<td align="left">&#x2003;FEV<sub>1</sub>
</td>
<td align="left">0.84 &#xb1; 0.168</td>
<td align="left">0.82 &#xb1; 0.183</td>
<td align="left">0.561</td>
</tr>
<tr>
<td align="left">&#x2003;FEV<sub>1</sub>/FVC</td>
<td align="left">52.49 &#xb1; 9.60</td>
<td align="left">51.99 &#xb1; 9.859</td>
<td align="left">0.832</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-2">
<title>3.2 Effectiveness</title>
<sec id="s3-2-1">
<title>3.2.1 Blood gas analysis</title>
<p>Blood gas analysis was carried out for 114 patients, 58 in the budesonide group and 56 in the methylprednisolone group. The results show that PaCO<sub>2</sub> and PaO<sub>2</sub> levels improved significantly in both groups. However, after treatment, no significant differences in pH, PaO<sub>2</sub>, or PaCO<sub>2</sub> levels were found between the groups (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Comparison of effectiveness of nebulized budesonide and intravenous methylprednisolone.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Observation indicators</th>
<th align="left">Nebulized budesonide (<italic>n</italic> &#x3d; 148)</th>
<th align="left">Intravenous methylprednisolone (<italic>n</italic> &#x3d; 143)</th>
<th align="left">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="4" align="left">Arterial blood-gas analysis before treatment (mean &#xb1; SD)</td>
</tr>
<tr>
<td align="left">&#x2003;PH</td>
<td align="left">7.41 &#xb1; 0.045</td>
<td align="left">7.40 &#xb1; 0.036</td>
<td align="left">0.185</td>
</tr>
<tr>
<td align="left">&#x2003;PaCO2</td>
<td align="left">44.93 &#xb1; 9.11&#x2a;</td>
<td align="left">46.07 &#xb1; 7.92&#x2a;</td>
<td align="left">0.478</td>
</tr>
<tr>
<td align="left">&#x2003;PaO2</td>
<td align="left">83.90 &#xb1; 13.21&#x2a;</td>
<td align="left">79.35 &#xb1; 13.19&#x2a;</td>
<td align="left">0.069</td>
</tr>
<tr>
<td colspan="4" align="left">Pulmonary functions before treatment (mean &#xb1; SD)</td>
</tr>
<tr>
<td align="left">&#x2003;FEV1</td>
<td align="left">1.06 &#xb1; 0.268&#x2a;</td>
<td align="left">1.05 &#xb1; 0.240&#x2a;</td>
<td align="left">0.929</td>
</tr>
<tr>
<td align="left">&#x2003;FEV1/FVC</td>
<td align="left">57.59 &#xb1; 9.58&#x2a;</td>
<td align="left">59.71 &#xb1; 11.77</td>
<td align="left">0.407</td>
</tr>
<tr>
<td align="left">&#x2003;Clinical efficacy rate, n (%)</td>
<td align="left">140 (94.6)</td>
<td align="left">134 (93.7)</td>
<td align="left">0.747</td>
</tr>
<tr>
<td align="left">&#x2003;The rate of no readmission within 1 year after discharge, n (%)</td>
<td align="left">110 (74.3)</td>
<td align="left">59 86 (60.1)</td>
<td align="left">0.010</td>
</tr>
<tr>
<td align="left">&#x2003;Hospital stay (days)</td>
<td align="left">14.79 &#xb1; 7.58</td>
<td align="left">13.83 &#xb1; 6.41</td>
<td align="left">0.246</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x2a;After treatment versus before treatment, <italic>p</italic> &#x3c; 0.05</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2-2">
<title>3.2.2 Pulmonary function</title>
<p>Pulmonary function tests were carried out for 70 patients. The results show that the FEV<sub>1</sub> and FEV<sub>1</sub>/FVC levels improved significantly in both groups. However, after treatment, there were no significant differences in the FEV<sub>1</sub> and FEV<sub>1</sub>/FVC levels between the groups (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
</sec>
<sec id="s3-2-3">
<title>3.2.3 Clinical efficacy</title>
<p>The clinical efficacy rates of the budesonide and methylprednisolone groups were 94.6% and 93.7%, respectively, and there was no statistical difference between the groups (<italic>p</italic> &#x3d; 0.747) (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
</sec>
<sec id="s3-2-4">
<title>3.2.4 Rate of no readmission</title>
<p>The rate of no readmission within 1&#xa0;year after discharge in the budesonide group was significantly higher than in the methylprednisolone group (74.3% vs. 60.1%, &#x3c7;<sup>2</sup> &#x3d; 6.655, <italic>p</italic> &#x3d; 0.010) (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
</sec>
</sec>
<sec id="s3-3">
<title>3.3 Safety</title>
<p>During hospitalization, adverse events that occurred in the two groups were hyperglycemia, oropharynx fungal infection, sleep disorder, and stomach discomfort. Although the rate of adverse events was significantly higher in the methylprednisolone group than in the budesonide group, all the events were relatively mild, and no special treatment was given (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Adverse events between the two groups.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Observation indicators, <italic>n</italic> (%)</th>
<th align="left">Nebulized budesonide (<italic>n</italic> &#x3d; 148)</th>
<th align="left">Intravenous methylprednisolone (<italic>n</italic> &#x3d; 143)</th>
<th align="left">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Hyperglycemia</td>
<td align="left">0 (0)</td>
<td align="left">3 (2.09)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Oropharynx fungal infection</td>
<td align="left">5 (3.37)</td>
<td align="left">0 (0)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Sleep disorder</td>
<td align="left">0 (0)</td>
<td align="left">4 (2.80)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Stomach discomfort</td>
<td align="left">0 (0)</td>
<td align="left">7 (4.89)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Total</td>
<td align="left">5 (3.37)</td>
<td align="left">14 (9.79)</td>
<td align="left">0.027</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>After discharge, there were no adverse events occurred in the two groups.</p>
</sec>
<sec id="s3-4">
<title>3.4 Pharmacoeconomic evaluation</title>
<sec id="s3-4-1">
<title>3.4.1 Cost-minimization analysis</title>
<p>As there was no statistical difference between the groups in clinical efficacy rates, cost-minimization analysis (CMA) was used. Total costs and a breakdown of the categories are given in <xref ref-type="table" rid="T4">Table 4</xref>. For most of the costs, including medication, examinations, laboratory tests, treatment, diagnosis, nursing, rehabilitation, and medical consumables, there were no significant differences between the groups. The total costs were significant higher for the budesonide group than for the methylprednisolone group (20460.56 CNY vs. 17297.28 CNY, <italic>p</italic> &#x3d; 0.037). Therefore, the CMA results suggest that intravenous methylprednisolone is more economical than nebulized budesonide in the treatment of AECOPD.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Comparison of hospitalization costs (CNY) for nebulized budesonide and intravenous methylprednisolone groups.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Cost, mean (SD)</th>
<th align="left">Nebulized budesonide (<italic>n</italic> &#x3d; 148)</th>
<th align="left">Intravenous methylprednisolone (<italic>n</italic> &#x3d; 143)</th>
<th align="left">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Total hospitalization cost</td>
<td align="left">20460.56 (13870.53)</td>
<td align="left">17297.28 (11716.82)</td>
<td align="left">0.037</td>
</tr>
<tr>
<td align="left">Total medication cost</td>
<td align="left">8074.09 (9849.04)</td>
<td align="left">6210.41 (6223.48)</td>
<td align="left">0.056</td>
</tr>
<tr>
<td align="left">&#x2003;Western medcine</td>
<td align="left">7998.20 (9816.17)</td>
<td align="left">6110.69 (6126.78)</td>
<td align="left">0.051</td>
</tr>
<tr>
<td align="left">&#x2003;Chinese patent drug</td>
<td align="left">39.95 (89.16)</td>
<td align="left">40.34 (156.38)</td>
<td align="left">0.979</td>
</tr>
<tr>
<td align="left">&#x2003;Chinese herbal medicine</td>
<td align="left">36.21 (175.70)</td>
<td align="left">59.36 (290.22)</td>
<td align="left">0.409</td>
</tr>
<tr>
<td align="left">Imaging examination cost</td>
<td align="left">583.68 (554.55)</td>
<td align="left">579.59 (553.07)</td>
<td align="left">0.950</td>
</tr>
<tr>
<td align="left">Laboratory test cost</td>
<td align="left">2650.98 (1081.39)</td>
<td align="left">2409.72 (1088.52)</td>
<td align="left">0.059</td>
</tr>
<tr>
<td align="left">Treatment cost</td>
<td align="left">2260.77 (2712.92)</td>
<td align="left">1890.60 (2540.18)</td>
<td align="left">0.231</td>
</tr>
<tr>
<td align="left">Diagnostic cost</td>
<td align="left">1589.94 (1808.00)</td>
<td align="left">1356.73 (1763.78)</td>
<td align="left">0.267</td>
</tr>
<tr>
<td align="left">Ward bed cost</td>
<td align="left">1037.35 (1040.61)</td>
<td align="left">841.50 (931.18)</td>
<td align="left">0.092</td>
</tr>
<tr>
<td align="left">Nursing cost</td>
<td align="left">476.09 (283.97)</td>
<td align="left">449.63 (349.39)</td>
<td align="left">0.478</td>
</tr>
<tr>
<td align="left">Rehabilitation cost</td>
<td align="left">11.93 (42.94)</td>
<td align="left">23.44 (97.17)</td>
<td align="left">0.190</td>
</tr>
<tr>
<td align="left">Medical consumables cost</td>
<td align="left">676.54 (962.54)</td>
<td align="left">539.75 (617.99)</td>
<td align="left">0.152</td>
</tr>
<tr>
<td align="left">Other cost</td>
<td align="left">1193.96 (1534.34)</td>
<td align="left">1601.70 (1685.57)</td>
<td align="left">0.032</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-4-2">
<title>3.4.2 Cost-effectiveness analysis</title>
<p>The rate of no readmission within 1&#xa0;year after discharge was then adopted as the effect indicator, and a cost-effectiveness analysis (CEA) was used. The results are shown in <xref ref-type="table" rid="T5">Table 5</xref>. The ICER value of the budesonide group was 22276.62 CNY; thus, compared with intravenous methylprednisolone, nebulized budesonide cost 22276.62 CNY extra and saved one readmission within 1&#xa0;year after discharge.</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Base case results of the cost-effectiveness analysis.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Group</th>
<th align="left">Cost (C)</th>
<th align="left">Effectiveness (E)</th>
<th align="left">I (%) CER (&#x394;C/&#x394;E)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Nebulized budesonide</td>
<td align="left">20460.56</td>
<td align="left">74.3</td>
<td align="left">22276.62</td>
</tr>
<tr>
<td align="left">Intravenous methylprednisolone</td>
<td align="left">17297.28</td>
<td align="left">60.1</td>
<td align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
</sec>
<sec id="s4">
<title>4 Sensitivity analysis</title>
<p>For the logistic regression analysis, clinical efficacy and readmission within 1&#xa0;year after discharge were used as dependent variables, and all possible influencing factors were included as independent variables. Consistent with the results of the basic analysis, the choice of budesonide or methylprednisolone as the main drug had no significant effect on clinical efficacy but had a significant effect on readmission within 1&#xa0;year after discharge (<xref ref-type="table" rid="T6">Table 6</xref>).</p>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Logistic regression analysis of treatment effect.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Factors</th>
<th colspan="2" align="left">Clinical efficacy</th>
<th colspan="2" align="left">Readmission within 1&#xa0;year after discharge</th>
</tr>
<tr>
<th align="left">Coefficients</th>
<th align="left">
<italic>p</italic>-value</th>
<th align="left">Coefficients</th>
<th align="left">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Sex</td>
<td align="left">0.207</td>
<td align="left">0.711</td>
<td align="left">&#x2212;0.19</td>
<td align="left">0.609</td>
</tr>
<tr>
<td align="left">Age</td>
<td align="left">&#x2212;0.005</td>
<td align="left">0.863</td>
<td align="left">&#x2212;0.026</td>
<td align="left">0.150</td>
</tr>
<tr>
<td align="left">Comorbidity</td>
<td align="left">&#x2212;1.082</td>
<td align="left">0.198</td>
<td align="left">&#x2212;0.175</td>
<td align="left">0.570</td>
</tr>
<tr>
<td align="left">short-acting bronchodilator</td>
<td align="left">0.612</td>
<td align="left">0.550</td>
<td align="left">&#x2212;0.498</td>
<td align="left">0.317</td>
</tr>
<tr>
<td align="left">Theophylline</td>
<td align="left">&#x2212;1.146</td>
<td align="left">0.102</td>
<td align="left">0.260</td>
<td align="left">0.496</td>
</tr>
<tr>
<td align="left">Antimicrobials</td>
<td align="left">&#x2212;24.159</td>
<td align="left">0.998</td>
<td align="left">0.948</td>
<td align="left">0.510</td>
</tr>
<tr>
<td align="left">COPD duration</td>
<td align="left">&#x2212;0.066</td>
<td align="left">0.025</td>
<td align="left">&#x2212;0.015</td>
<td align="left">0.296</td>
</tr>
<tr>
<td align="left">Treatment option</td>
<td align="left">0.092</td>
<td align="left">0.910</td>
<td align="left">&#x2212;0.753</td>
<td align="left">0.019</td>
</tr>
<tr>
<td align="left">Constant</td>
<td align="left">6.124</td>
<td align="left">0.078</td>
<td align="left">1.83</td>
<td align="left">0.157</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Because the costs did not follow a normal distribution, generalized linear model analyses were used to examine the associated factors for direct medical and medication costs. Total hospitalization and total medication costs were taken as dependent variables respectively, and all possible influencing factors were included as independent variables. The gamma distribution was used to perform generalized linear regression with identity as the connection function. The results indicate that patients treated with budesonide had greater total hospitalization and total medication costs (<xref ref-type="table" rid="T7">Table 7</xref>).</p>
<table-wrap id="T7" position="float">
<label>TABLE 7</label>
<caption>
<p>Multiple linear regression model for hospitalization costs.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Factors</th>
<th colspan="2" align="left">Total hospitalization cost</th>
<th colspan="2" align="left">Total medication cost</th>
</tr>
<tr>
<th align="left">Coefficients</th>
<th align="left">
<italic>p</italic>-value</th>
<th align="left">Coefficients</th>
<th align="left">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Sex (female &#x3d; 0)</td>
<td align="left">607.985</td>
<td align="left">0.422</td>
<td align="left">450.870</td>
<td align="left">0.320</td>
</tr>
<tr>
<td align="left">Age</td>
<td align="left">&#x2212;25.837</td>
<td align="left">0.482</td>
<td align="left">&#x2212;8.567</td>
<td align="left">0.652</td>
</tr>
<tr>
<td align="left">Comorbidity (no &#x3d; 0)</td>
<td align="left">1151.157</td>
<td align="left">0.073</td>
<td align="left">1530.475</td>
<td align="left">0.001</td>
</tr>
<tr>
<td align="left">Antimicrobials received (no &#x3d; 0)</td>
<td align="left">1824.257</td>
<td align="left">0.536</td>
<td align="left">1453.217</td>
<td align="left">0.421</td>
</tr>
<tr>
<td align="left">COPD duration</td>
<td align="left">15.178</td>
<td align="left">0.278</td>
<td align="left">&#x2212;6.750</td>
<td align="left">0.520</td>
</tr>
<tr>
<td align="left">Hospital days</td>
<td align="left">1160.306</td>
<td align="left">&#x3c;0.0001</td>
<td align="left">602.475</td>
<td align="left">&#x3c;0.0001</td>
</tr>
<tr>
<td align="left">Treatment option (budesonide &#x3d; 0)</td>
<td align="left">&#x2212;1336.095</td>
<td align="left">0.036</td>
<td align="left">&#x2212;1107.915</td>
<td align="left">0.006</td>
</tr>
<tr>
<td align="left">Constant</td>
<td align="left">3112.654</td>
<td align="left">0.256</td>
<td align="left">&#x2212;1098.050</td>
<td align="left">0.680</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Because this study is retrospective, bootstrapping was used to reduce sampling error, and a CEAC was drawn. When the clinical efficacy rate was used as the effect indicator, the results show that the probability of methylprednisolone being cost-effective at a willingness to pay (WTP) of 40,000 CNY was more than 90% (<xref ref-type="fig" rid="F1">Figure 1</xref>). However, when the rate of no readmission within 1&#xa0;year was used as the effect indicator, and the WTP was more than 23,000 CNY, nebulized budesonide became cost-effective (<xref ref-type="fig" rid="F2">Figure 2</xref>). These findings are consistent with the results of the basic analysis, which indicates that the analysis is robust.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>CEAC by bootstrap analysis on the clinical efficacy indicator.</p>
</caption>
<graphic xlink:href="fphar-13-892526-g001.tif"/>
</fig>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>CEAC by bootstrap analysis on the rate of no readmission indicator.</p>
</caption>
<graphic xlink:href="fphar-13-892526-g002.tif"/>
</fig>
</sec>
<sec id="s5">
<title>5 Discussion</title>
<p>To our knowledge, this is the first study to use real-world patient-level data to investigate the differences in clinical effectiveness and pharmacoeconomics between nebulized budesonide and intravenous methylprednisolone in the treatment of AECOPD. There are three main findings.</p>
<p>First, for hospitalized patients with AECOPD, nebulized budesonide and intravenous methylprednisolone both improved lung function and blood gas analysis and had similar clinical efficacy. These results are in agreement with the findings of <xref ref-type="bibr" rid="B4">Ding et al. (2016)</xref> and the recommendations of expert consensus in China (<xref ref-type="bibr" rid="B1">Cai et al., 2014</xref>).</p>
<p>Second, in addition to clinical efficacy, this study also explored the effect of the two interventions in reducing the risk of readmission, which is an important indicator for evaluating the long-term effect on COPD patients. Readmission rates within 1&#xa0;year after discharge were relatively high for both groups, at 25.7% in the budesonide group and 39.9% in the methylprednisolone group. A history of exacerbations is the most reliable predictor of exacerbations in COPD patients (<xref ref-type="bibr" rid="B6">Donaldson and Wedzicha, 2006</xref>; <xref ref-type="bibr" rid="B11">Hurst et al., 2010</xref>) and the patients in this study were therefore likely to be readmitted for acute exacerbations. This result may therefore be related to the frequent-exacerbation phenotype of hospitalized patients, especially in China, where most patients are already in group D according to the GOLD guidelines when they first visit a doctor.</p>
<p>Third, in economic terms, when clinical efficacy was used as the short-term efficacy indicator, the CMA results indicated that intravenous methylprednisolone was cost-effective due to lower total costs. However, from a long-term perspective, the CEA results indicated that nebulized budesonide cost 22,276.62 CNY extra compared with intravenous methylprednisolone, while saving one readmission within 1&#xa0;year after discharge. Therefore, an average cost of one hospitalization for an acute exacerbation can be used as the threshold for WTP. A number of studies have found that AECOPD contributes significantly to the costs of COPD (<xref ref-type="bibr" rid="B18">Rutten-van M&#xf6;lken et al., 1999</xref>; <xref ref-type="bibr" rid="B10">Hilleman et al., 2000</xref>; <xref ref-type="bibr" rid="B16">Miravitlles et al., 2002</xref>; <xref ref-type="bibr" rid="B21">Toy et al., 2010</xref>). In China, a large-scale retrospective study conducted by Liang et al. found that mean expenditure per admission increased from 19,760 CNY in 2009 to 20,118 CNY in 2017 (a growth rate of 0.11%) (<xref ref-type="bibr" rid="B14">Liang et al., 2020</xref>). On this trend, by 2021 mean expenditure per admission would have reached 20,206.20 CNY. In terms of willingness to pay, nebulized budesonide was not cost-effective compared with intravenous methylprednisolone because the ICER (22,276.62 CNY) was higher than the WTP (20,206.20 CNY).</p>
<p>A key strength of the present study is that it uses real-world data that are likely to provide reasonably good estimates of absolute event probabilities and costs in actual clinical practice. In addition, for a more comprehensive assessment, its economic evaluation includes different effect indicators, namely, clinical efficacy and no readmission within 1&#xa0;year after discharge, which correspond to short-term and long-term effects, respectively.</p>
<p>However, the limitations of this study should be noted. First, because it is a single-center retrospective study, the sample size is small and the data identified from the electronic medical record database were incomplete. Second, the analysis focused on direct medical costs and paid no attention to direct nonmedical or indirect costs, which may have influenced the results. Third, the use of mean expenditure per admission, without considering the negative impact of readmission on patients&#x2019; lung function and quality of life, may have led to an underestimation of the WTP threshold.</p>
<p>In conclusion, compared with intravenous methylprednisolone, nebulized budesonide is not a cost-effective strategy in terms of either short-term or long-term effect. Large-scale multicenter studies are required to validate the findings of this study.</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/Supplementary Material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>Concept and design of the study by Y-LG, Z-XS, HG, and YW. Data collection and management of the study by Y-LG, CC, D-LJ, and YS. Statistical analysis by Y-LG, CC, YS, and XG. Drafting of the manuscript by Y-LG and YS. 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 the Young Talents Fund of the First People&#x2019;s Hospital of Lianyungang (grant number QN202010).</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 sec-type="disclaimer" id="s10">
<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>
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