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<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>
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<article-meta>
<article-id pub-id-type="publisher-id">1642470</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2025.1642470</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Single-versus multiple-inhaler triple therapy in patients with COPD in Spain: a retrospective cohort study comparing adherence, persistence, risk of exacerbations and economic outcomes</article-title>
<alt-title alt-title-type="left-running-head">Gonz&#xe1;lez-Gonz&#xe1;lez 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.2025.1642470">10.3389/fphar.2025.1642470</ext-link>
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<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Gonz&#xe1;lez-Gonz&#xe1;lez</surname>
<given-names>M. Asunci&#xf3;n</given-names>
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<sup>1</sup>
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<name>
<surname>Pedrosa-Naud&#xed;n</surname>
<given-names>M. Ar&#xe1;nzazu</given-names>
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<sup>1</sup>
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<surname>Fern&#xe1;ndez-L&#xe1;zaro</surname>
<given-names>Diego</given-names>
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<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Planelles</surname>
<given-names>Isabel D&#xed;az</given-names>
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<sup>3</sup>
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<contrib contrib-type="author">
<name>
<surname>&#xc1;lvarez</surname>
<given-names>F. Javier</given-names>
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<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<xref ref-type="aff" rid="aff5">
<sup>5</sup>
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<xref ref-type="aff" rid="aff6">
<sup>6</sup>
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<surname>Guti&#xe9;rrez-Abej&#xf3;n</surname>
<given-names>Eduardo</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<sup>3</sup>
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<sup>4</sup>
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<sup>5</sup>
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<sup>7</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>Pharmacy Directorate, Castilla y Le&#xf3;n Health Council</institution>, <addr-line>Valladolid</addr-line>, <country>Spain</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Area of Histology and Neurobiology Research Group, Faculty of Medicine, University of Valladolid</institution>, <addr-line>Valladolid</addr-line>, <country>Spain</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Facultad de Empresa y Comunicaci&#xf3;n, Universidad Internacional de la Rioja (UNIR)</institution>, <addr-line>Logro&#xf1;o</addr-line>, <country>Spain</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Laboratory of Pharmacoepidemiological Research in Primary Care, Health Research Institute of Valladolid (IBioVALL)</institution>, <addr-line>Valladolid</addr-line>, <country>Spain</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Area of Pharmacology, Department of Cell Biology, Genetics, Histology and Pharmacology, Faculty of Medicine, University of Valladolid</institution>, <addr-line>Valladolid</addr-line>, <country>Spain</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>CEIm of the Valladolid Health Areas</institution>, <addr-line>Valladolid</addr-line>, <country>Spain</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Atenci&#xf3;n Primaria, &#xc1;rea de Salud de Valladolid Este</institution>, <addr-line>Valladolid</addr-line>, <country>Spain</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/1997588/overview">Roberto Giovanni Carbone</ext-link>, University of Genoa, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/393432/overview">Ranjit Sivanandham</ext-link>, The MetroHealth System, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2117450/overview">Sara Shahid</ext-link>, Lahore University of Biological and Applied Sciences, Pakistan</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Eduardo Guti&#xe9;rrez-Abej&#xf3;n, <email>egutierreza@saludcastillayleon.es</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1642470</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>01</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Gonz&#xe1;lez-Gonz&#xe1;lez, Pedrosa-Naud&#xed;n, Fern&#xe1;ndez-L&#xe1;zaro, Planelles, &#xc1;lvarez and Guti&#xe9;rrez-Abej&#xf3;n.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Gonz&#xe1;lez-Gonz&#xe1;lez, Pedrosa-Naud&#xed;n, Fern&#xe1;ndez-L&#xe1;zaro, Planelles, &#xc1;lvarez and Guti&#xe9;rrez-Abej&#xf3;n</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>This retrospective study aimed to compare the clinical and economic outcomes of single-inhaler triple therapy (SITT) versus multiple-inhaler triple therapy (MITT) in a large cohort of COPD patients. Metrics on adherence, prevalence, and incidence of exacerbations in COPD patients treated with SITT or MITT were analyzed using pharmacy claims data integrated with the Spanish public health database. At the 12-month follow-up, patients in the SITT cohort were significantly more adherent (75.22% vs 70.1%; OR &#x3d; 1.33), more persistent (64.32% vs 52.4%; HR &#x3d; 1.56) and had a lower incidence of moderate exacerbations (53.53% vs 64.07%; OR &#x3d; 0.65) than patients in the MITT cohort. The main predictors associated with lack of persistence were being a na&#xef;ve patient (HR &#x3d; 0.55) and moderate exacerbations (HR &#x3d; 0.85). Furthermore, medication costs were lower for SITT (EUR 909.31 vs EUR 1025.31), demonstrating its cost-effectiveness. Our results suggest that SITT not only may improve adherence and persistence but also contributes to a relevant reduction in the risk of moderate exacerbations. Additionally, SITT offers a more cost-effective alternative for patients with moderate to severe COPD with documented exacerbations, making it a valuable strategy in real-world clinical practice.</p>
</abstract>
<kwd-group>
<kwd>chronic obstructive pulmonary disease</kwd>
<kwd>multiple-inhaler triple therapy</kwd>
<kwd>single-inhaler triple therapy</kwd>
<kwd>adherence</kwd>
<kwd>persistence</kwd>
<kwd>exacerbations</kwd>
</kwd-group>
<counts>
<page-count count="8"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Pharmacoepidemiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Chronic obstructive pulmonary disease (COPD) is a progressive inflammatory disease characterized by severe respiratory symptoms that can cause irreversible airflow limitation (<xref ref-type="bibr" rid="B29">Torpy et al., 2012</xref>). COPD has a global prevalence of 10.3% (<xref ref-type="bibr" rid="B1">Adeloye et al., 2022</xref>) and is a leading cause of morbidity and mortality, particularly in patients with exacerbations (<xref ref-type="bibr" rid="B10">Global Initiative for Chronic Obstructive and Lung Disease, 2024</xref>). In fact, COPD is expected to become the fourth leading cause of death worldwide by 2030 (<xref ref-type="bibr" rid="B20">Mathers and Loncar, 2006</xref>).</p>
<p>Treatment for COPD includes inhaled medications such as long-acting &#x3b2;2-agonists (LABA), long-acting muscarinic antagonists (LAMA), and inhaled corticosteroids (ICS). Medications are selected based on symptoms and risk of exacerbations. For patients with moderate to severe disease who continue to experience exacerbations or poor symptom control on dual therapy, triple therapy (LABA/LAMA/ICS) is recommended (<xref ref-type="bibr" rid="B10">Global Initiative for Chronic Obstructive and Lung Disease, 2024</xref>). For these patients, triple therapy has been shown to provide clinical benefits over dual therapy, including improved lung function, lower hospitalization rates (<xref ref-type="bibr" rid="B9">Frith et al., 2015</xref>), and reduced mortality (<xref ref-type="bibr" rid="B17">Lipson et al., 2020</xref>; <xref ref-type="bibr" rid="B23">Rabe et al., 2020</xref>).</p>
<p>In patients with COPD, medication adherence is lower than in other chronic diseases, such as diabetes, depression, or hypertension (<xref ref-type="bibr" rid="B24">Rolnick et al., 2013</xref>). According to the literature, the rate of non-adherence to inhaled medications ranges from 22% to 93% (<xref ref-type="bibr" rid="B4">Bhattarai et al., 2020</xref>). Adherence to treatment is negatively impacted by the use of different inhalation devices, errors in inhalation technique, and complex dosing regimens (<xref ref-type="bibr" rid="B13">Honkoop et al., 2022</xref>). In this sense, non-adherence to inhaled medications for COPD has been associated with a worsening of symptoms, an increased risk of exacerbations, a reduced quality of life, increased hospitalization rates, and higher mortality (<xref ref-type="bibr" rid="B28">&#x15a;wi&#x105;toniowska et al., 2020</xref>). Additionally, non-adherence to inhaled therapy in patients with COPD is associated with poorer economic outcomes (<xref ref-type="bibr" rid="B7">Cushen et al., 2018</xref>).</p>
<p>Triple therapy can be administered as single-inhaler triple therapy (SITT) or multiple-inhaler triple therapy (MITT). In this sense, SITT offers a simplified inhalation regimen (<xref ref-type="bibr" rid="B21">Meynell and Capstick, 2018</xref>), improving adherence (<xref ref-type="bibr" rid="B18">Mannino et al., 2022</xref>; <xref ref-type="bibr" rid="B16">Lin et al., 2023</xref>; <xref ref-type="bibr" rid="B5">Bogart et al., 2024</xref>) and persistence (<xref ref-type="bibr" rid="B2">Alc&#xe1;zar-Navarrete et al., 2022</xref>; <xref ref-type="bibr" rid="B18">Mannino et al., 2022</xref>; <xref ref-type="bibr" rid="B8">Deslee et al., 2023</xref>; <xref ref-type="bibr" rid="B16">Lin et al., 2023</xref>) while also reducing exacerbations and healthcare resource utilization (<xref ref-type="bibr" rid="B2">Alc&#xe1;zar-Navarrete et al., 2022</xref>; <xref ref-type="bibr" rid="B5">Bogart et al., 2024</xref>).</p>
<p>This study compared the use of SITT versus MITT in a large cohort of COPD patients. It evaluated treatment adherence and persistence, exacerbation prevention, and analyzed cost-effectiveness, providing new insights into the potential advantages of SITT in a real-world setting.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Study design and data source</title>
<p>This observational and retrospective cohort study was conducted in Castilla y Le&#xf3;n, Spain, with a population of 2,327,420 inhabitants (<xref ref-type="bibr" rid="B27">Spanish National Statistics Institute INE, 2024</xref>). The study was designed according to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) (<xref ref-type="bibr" rid="B30">Von Elm et al., 2008</xref>) and the Reporting of Studies Conducted using Observational Routinely collected health Data for Pharmacoepidemiology (RECORD-PE) (<xref ref-type="bibr" rid="B15">Langan et al., 2018</xref>) recommendations.</p>
<p>Claims data were obtained from the Pharmaceutical Information System of Castilla y Le&#xf3;n (CONCYLIA) (<xref ref-type="bibr" rid="B6">Castile and Leon Health Council, 2024</xref>). This data source contains primary care prescribing and dispensing data for all patients covered by the Spanish National Health Service, approximately 97% of the population.</p>
<p>Patient data in CONCYLIA are anonymized, so informed consent was not required. This study was approved by the Ethics Committee of the Valladolid Health Areas on October 9, 2024 (reference number PI-24-561-APE).</p>
</sec>
<sec id="s2-2">
<title>2.2 Study population</title>
<p>Patients with a diagnosis of COPD according to the International Classification of Diseases-10 (ICD-10) (<xref ref-type="bibr" rid="B31">World Health Organization, 2016</xref>), &#x2265;40&#xa0;years of age, and with at least two prescription refills of SITT or MITT between January 1, 2021, and December 31, 2023, were selected. The index date was defined as the date of SITT or MITT initiation. For MITT, the date considered was the first day with an overlapping supply of all MITT components. <xref ref-type="sec" rid="s12">Supplementary Table S1</xref> shows the SITTs and MITTs available in Spain.</p>
<p>Patients with less than 12&#xa0;months of follow-up, inconsistent medication records (date of dispensing not available), or who died during the study period were excluded.</p>
<p>Naive patients were defined as those who had not received inhaled medication (ATC subgroups R03A and R03B) 12&#xa0;months before study entry.</p>
</sec>
<sec id="s2-3">
<title>2.3 Study variables and definitions</title>
<p>Sociodemographic, clinical and economic data were obtained from CONCYLIA. Sociodemographic data included sex, age, institutionalization, healthcare area and socioeconomic level. Clinical data included type of inhaled medication (dose and dosing regimen), concomitant medication (polypharmacy), multiple prescribers and multiple pharmacies (&#x2265;3/year), comorbidities, adherence, persistence at 3, 6 and 12&#xa0;months, mean persistence (in days), persistence rate and moderate exacerbations (frequency and rate). Economic data included medication costs per patient/year and incremental cost-effectiveness ratio (ICER).</p>
<p>A moderate exacerbation is characterized by administering oral corticosteroids and respiratory antibiotics (ATC subgroups J01AA and J01CA) for COPD diagnosis. A recurrence of the same exacerbation was considered if the interval between exacerbations was less than 4&#xa0;weeks. Severe exacerbations could not be collected as CONCYLIA does not include data on hospital admissions.</p>
<p>Adherence was measured using the Medication Possession Rate (MPR), calculated as the number of days&#x2019; supply during a specified follow-up period (365&#xa0;days) divided by the number of days from the first dispensing to the end of the follow-up period (<xref ref-type="bibr" rid="B3">Andrade et al., 2006</xref>). Adherence was classified according to MPR as follows: none (&#x3c;20), poor (20-49), moderate (50-79) and adherent (&#x2265;80) (<xref ref-type="bibr" rid="B14">Krivoy et al., 2016</xref>; <xref ref-type="bibr" rid="B22">Pedrosa-Naud&#xed;n et al., 2022</xref>). The percentage of adherent patients was calculated for each type of therapy.</p>
<p>Persistence was defined as the period between the index date and treatment discontinuation. A gap of &#x3e;60&#xa0;days between prescription refills for any component of MITT or SITT was considered a discontinuation. The percentage of persistent patients at 3, 6 and 12&#xa0;months was calculated. The persistence rate for each patient was calculated as the persistent days divided by the follow-up period (365&#xa0;days). Drug switching (different ATC codes) within the same type of triple therapy (any component of MITT or SITT) was considered as discontinuation. A dose escalation was considered a continuation of treatment. Sensitivity analyses were performed by modifying the allowed gap between prescription refills from 60 to 90&#xa0;days.</p>
<p>Medication costs were calculated using the prices listed in the official medicines formulary of the Spanish National Health System (<xref ref-type="bibr" rid="B26">Spanish Ministry of Health, 2025</xref>). The mean cost per patient/year was calculated for MITT and SITT. The persistence rate was used to measure the effectiveness of ICER calculation (<xref ref-type="bibr" rid="B25">Romagnoli et al., 2020</xref>). All costs were reported in euros using 2023 values. The exchange rates of EUR1 &#x3d; US$1.105 and EUR1 &#x3d; &#xa3;0.8683 were based on the European Central Bank rate on December 29, 2023.</p>
</sec>
<sec id="s2-4">
<title>2.4 Statistical analysis</title>
<p>Results are presented as means with their standard deviations (SD) or as percentages with their 95% confidence intervals (95% CI), as appropriate. The Kolmogorov-Smirnov test determined the sample&#x2019;s normality. Student&#x2019;s t-test for continuous variables and chi-squared test for categorical variables were used to assess differences between groups.</p>
<p>Binary logistic regression was used to analyze the factors influencing adherence. Treatment persistence and duration were analyzed using Kaplan-Meier survival analysis and the log-rank test to compare both groups. The absence of an event (treatment discontinuation) resulted in data censoring. Cox proportional hazards regression was used to assess persistence at 12&#xa0;months. Univariate and multivariate analyses were performed. All study variables were included in the univariate analysis. Variables with p &#x2264; 0.05 in the univariate analysis were excluded from the multivariate analysis.</p>
<p>SPSS version 24.0 (SPSS Inc, Chicago, IL) was used for statistical analysis. Statistical significance was determined at p &#x2264; 0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<p>The study population included 7,099 patients in the SITT cohort and 12692 in the MITT cohort. In the MITT cohort, 90% of patients received a LABA/ICS plus LAMA combination (<xref ref-type="fig" rid="F1">Figure 1</xref>). The mean age was 74.71 &#xb1; 11.98&#xa0;years; 63% were male, and 9.5% were na&#xef;ve patients (<xref ref-type="sec" rid="s12">Supplementary Table S2</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Flowchart of the study population (MITT, multiple-inhaler triple therapy; SITT, single-inhaler triple therapy; LABA, long-acting &#x3b2;2-agonists; LAMA, long-acting muscarinic antagonists; ICS, inhaled corticosteroids).</p>
</caption>
<graphic xlink:href="fphar-16-1642470-g001.tif">
<alt-text content-type="machine-generated">Flowchart illustrating patient selection for a study. Starting with a total population of 2,383,703, it narrows to 419,901 treated with inhalers from January 2021 to December 2023. Then, 50,903 diagnosed with COPD aged 40 and older. Of these, 34,166 received triple therapy. 14,375 patients were removed due to various reasons, leaving 19,791 recruited. This group splits into 7,099 in single-inhaler triple therapy and 12,692 in multiple-inhaler triple therapy, with further subdivisions in the latter.</alt-text>
</graphic>
</fig>
<p>The incidence of moderate exacerbations was lower in the SITT cohort (53.53%) than in the MITT cohort (64.07%). A decreased risk was also observed in the SITT group (OR &#x3d; 0.65; p &#x3d; 0.001) (<xref ref-type="table" rid="T1">Table 1</xref>). Patients in the SITT cohort required less dose escalation than those in the MITT cohort (6.55% vs 11.84%; p &#x3d; 0.001) (<xref ref-type="sec" rid="s12">Supplementary Table S2</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Adherence, persistence and moderate exacerbations during 12-month follow-up.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="2" align="center"/>
<th align="center">Total</th>
<th align="center">MITT</th>
<th align="center">SITT</th>
<th rowspan="2" align="center">p</th>
</tr>
<tr>
<th colspan="2" align="right">N</th>
<th align="center">19791</th>
<th align="center">12692</th>
<th align="center">7099</th>
</tr>
</thead>
<tbody valign="top">
<tr style="background-color:#CCCCCC">
<td colspan="6" align="left">Adherence % (95% IC)</td>
</tr>
<tr>
<td align="left">&#x2003;MPR (mean &#xb1; SD)</td>
<td align="left"/>
<td align="center">84.74 &#xb1; 16.79</td>
<td align="center">84.15 &#xb1; 16.55</td>
<td align="center">85.80 &#xb1; 17.17</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Adherence prevalence</td>
<td align="left"/>
<td align="center">71.94 (71.31-72.56)</td>
<td align="center">70.1 (69.3-70.9)</td>
<td align="center">75.22 (74.22-76.23)</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Adherence level</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left"/>
<td align="right">None (&#x3c;20)</td>
<td align="center">0.52 (0.42-0.62)</td>
<td align="center">0.39 (0.28-0.5)</td>
<td align="center">0.73 (0.53-0.93)</td>
<td rowspan="3" align="center">0.001</td>
</tr>
<tr>
<td align="right">Poor (20-49)</td>
<td align="center">4.82 (4.52-5.11)</td>
<td align="center">4.88 (4.5-5.25)</td>
<td align="center">4.7 (4.21-5.2)</td>
</tr>
<tr>
<td align="left"/>
<td align="right">Moderate (50-79)</td>
<td align="center">22.73 (22.15-23.32)</td>
<td align="center">24.63 (23.88-25.38)</td>
<td align="center">19.34 (18.42-20.26)</td>
</tr>
<tr>
<td align="left">&#x2009;&#x2009;&#x2009;&#x2009;&#x2009;&#x2009;OR for adherence<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref> (95% CI)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="center">1.33 (1.24-1.42)</td>
<td align="center">0.001</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="6" align="left">Persistence % (95% CI)</td>
</tr>
<tr>
<td rowspan="2" align="left"/>
<td align="right">3&#xa0;months</td>
<td align="center">82.39 (81.86-82.92)</td>
<td align="center">79.96 (79.26-80.65)</td>
<td align="center">86.73 (85.94-87.52)</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="right">6&#xa0;months</td>
<td align="center">68.31 (67.67-68.96)</td>
<td align="center">64.44 (63.61-65.27)</td>
<td align="center">75.24 (74.23-76.24)</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="left"/>
<td align="right">12&#xa0;months</td>
<td align="center">56.68 (55.99-57.37)</td>
<td align="center">52.4 (51.53-53.27)</td>
<td align="center">64.32 (63.2-65.43)</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="left">&#x2009;&#x2009;&#x2009;&#x2009;&#x2009;&#x2009;Treatment persistence (days) (mean &#xb1; SD)</td>
<td align="left"/>
<td align="center">261.85 &#xb1; 129.61</td>
<td align="center">249.99 &#xb1; 132.91</td>
<td align="center">283.05 &#xb1; 120.63</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="left">&#x2009;&#x2009;&#x2009;&#x2009;&#x2009;&#x2009;HR for persistence<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref> (95% CI)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="center">1.56 (1.49-1.64)</td>
<td align="center">0.001</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="6" align="left">Moderate exacerbations % (95% IC)</td>
</tr>
<tr>
<td align="left">&#x2003;Patients with moderate exacecerbations</td>
<td align="left"/>
<td align="center">60.29 (59.61-60.97)</td>
<td align="center">64.07 (63.24-64.91)</td>
<td align="center">53.53 (52.37-54.69)</td>
<td align="center">0.001</td>
</tr>
<tr>
<td rowspan="2" align="left"/>
<td align="right">1 exacerbations</td>
<td align="center">45.5 (44.81-46.19)</td>
<td align="center">48.43 (47.56-49.3)</td>
<td align="center">40.27 (39.13-41.41)</td>
<td rowspan="2" align="center">0.001</td>
</tr>
<tr>
<td align="right">&#x2265; 2 exacerbations</td>
<td align="center">14.79 (14.3-15.28)</td>
<td align="center">15.64 (15.01-16.27)</td>
<td align="center">13.26 (12.47-14.05)</td>
</tr>
<tr>
<td align="left">&#x2009;&#x2009;&#x2009;&#x2009;&#x2009;&#x2009;No. Exacerbations (mean &#xb1; SD)</td>
<td align="left"/>
<td align="center">0.82 &#xb1; 0.81</td>
<td align="center">0.85 &#xb1; 0.83</td>
<td align="center">0.78 &#xb1; 0.7</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="left">&#x2009;&#x2009;&#x2009;&#x2009;&#x2009;&#x2009;OR for moderate exacerbations<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref> (95% CI)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="center">0.65 (0.61-0.69)</td>
<td align="center">0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>Reference group for logistic regression model: SITT (multivariate analysis).</p>
</fn>
<fn id="Tfn2">
<label>
<sup>b</sup>
</label>
<p>Reference group for Cox proportional hazards model: SITT (multivariate analysis).</p>
</fn>
<fn>
<p>MITT, multiple-inhaler triple therapy; SITT, single-inhaler triple therapy; CI, confidence interval; SD, standard deviation; OR, odds ratio; HR, hazard ratio.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The proportion of adherent patients was higher in the SITT cohort than in the MITT cohort (75.22% vs 70.1%; p &#x3d; 0.001). Patients in the SITT cohort were more likely to be adherent than those in the MITT cohort (OR &#x3d; 1.33; p &#x3d; 0.001) (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>Patients in the SITT group were more persistent than those in the MITT group at 3 (86.73% vs 79.96%; p &#x3d; 0.001), 6 (75.24% vs 64.44%; p &#x3d; 0.001), and 12&#xa0;months (64.32% vs 52.4%: p &#x3d; 0.001). Furthermore, mean treatment persistence was higher in the SITT cohort than in the MITT cohort (283.05 &#xb1; 120.63 vs 249.99 &#xb1; 132.91; p &#x3d; 0.001) (<xref ref-type="table" rid="T1">Table 1</xref>; <xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Kaplan-Meier curve for treatment persistence in patients with COPD on single-inhaler triple therapy (SITT) and multiple-inhaler triple therapy (MITT) in Spain.</p>
</caption>
<graphic xlink:href="fphar-16-1642470-g002.tif">
<alt-text content-type="machine-generated">Line graph showing the proportion of persistence over time in days for Single-inhaler triple therapy (SITT) and Multiple-inhaler triple therapy (MITT). The blue line represents SITT and the red line represents MITT. Both lines show a downward trend, with SITT maintaining higher persistence than MITT throughout the period.</alt-text>
</graphic>
</fig>
<p>At the 12-month follow-up, persistence was favored in the SITT cohort (HR &#x3d; 1.56; p &#x3d; 0.001) (<xref ref-type="table" rid="T1">Table 1</xref>). Modifying the gap between prescription refills from 60 to 90&#xa0;days had comparable results (<xref ref-type="sec" rid="s12">Supplementary Table S3</xref>).</p>
<p>Being a na&#xef;ve patient was associated with a lack of persistence (HR &#x3d; 0.55; p &#x3d; 0.001). Only 46.63% and 30.65% of na&#xef;ve patients in the SITT and MITT cohorts were persistent, with mean treatment persistence decreasing to 237.12 &#xb1; 131.77 and 188.74 &#xb1; 132.45&#xa0;days, respectively. Moderate exacerbations were strongly associated with a lack of persistence (HR &#x3d; 0.85; p &#x3d; 0.001). Other associated factors were female sex, institutionalization, multiple prescribers, polypharmacy, and diagnoses of asthma and depression (<xref ref-type="table" rid="T2">Table 2</xref>; <xref ref-type="sec" rid="s12">Supplementary Figure S1</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Predictors of persistence in patients with COPD on triple inhaled therapy in Spain.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">
<break/>Variables</th>
<th colspan="2" align="center">Univariate analysis</th>
<th colspan="2" align="center">Multivariate analysis</th>
</tr>
<tr>
<th align="center">HR (95% CI)</th>
<th align="center">p</th>
<th align="center">HR (95% CI)</th>
<th align="center">p</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Type of Inhalation Therapy (SITT)</td>
<td align="center">1.48 (1.41-1.55)</td>
<td align="center">0.001</td>
<td align="center">1.56 (1.49-1.64)</td>
<td align="center">0.001</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Sociodemographic characteristics</td>
</tr>
<tr>
<td align="right">
<italic>Sex (female)</italic>
</td>
<td align="center">0.75 (0.72-0.78)</td>
<td align="center">0.001</td>
<td align="center">0.85 (0.81-0.89)</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="right">
<italic>Age</italic>
</td>
<td align="center">0.99 (0.99-0.99)</td>
<td align="center">0.001</td>
<td align="center">1,01 (0.97-1.05)</td>
<td align="center">0.087</td>
</tr>
<tr>
<td align="right">
<italic>Instituzionalized (Yes)</italic>
</td>
<td align="center">0.73 (0.67-0.79)</td>
<td align="center">0.001</td>
<td align="center">0.72 (0.66-0.79)</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="right">
<italic>Healthcare area (Urban)</italic>
</td>
<td align="center">0.97 (0.93-1.01)</td>
<td align="center">0.145</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="right">
<italic>Socioeconomical level</italic>
</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="right">
<italic>&#x3c; 18000 &#x20ac;/year</italic>
</td>
<td align="center">1 (reference)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="right">
<italic>18000-100000&#x20ac;/year</italic>
</td>
<td align="center">1.1 (0.76-1.58)</td>
<td align="center">0.61</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="right">
<italic>&#x2265; 100000 &#x20ac;/year</italic>
</td>
<td align="center">1.17 (0.81-1.68)</td>
<td align="center">0.41</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Clinical characteristics</td>
</tr>
<tr>
<td align="right">
<italic>Naive patient (Yes)</italic>
</td>
<td align="center">0.57 (0.54-0.61)</td>
<td align="center">0.001</td>
<td align="center">0.55 (0.52-0.59)</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="right">
<italic>Multiple prescribers (Yes)</italic>
</td>
<td align="center">0.8 (0.76-0.84)</td>
<td align="center">0.001</td>
<td align="center">0.83 (0.79-0.87)</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="right">
<italic>Multiple pharmacies (Yes)</italic>
</td>
<td align="center">0.97 (0.93-1.01)</td>
<td align="center">0.157</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="right">
<italic>Polypharmacy (Yes)</italic>
</td>
<td align="center">0.72 (0.65-0.81)</td>
<td align="center">0.001</td>
<td align="center">0.86 (0.76-0.97)</td>
<td align="center">0.015</td>
</tr>
<tr>
<td align="right">
<italic>Dose escalation (Yes)</italic>
</td>
<td align="center">0.83 (0.78-0.89)</td>
<td align="center">0.001</td>
<td align="center">0.95 (0.89-1.02)</td>
<td align="center">0.151</td>
</tr>
<tr>
<td align="right">
<italic>Moderate exacerbations (Yes)</italic>
</td>
<td align="center">0.77 (0.73-0.8)</td>
<td align="center">0.001</td>
<td align="center">0.85 (0.81-0.89)</td>
<td align="center">0.001</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Comorbidities</td>
</tr>
<tr>
<td align="right">
<italic>Hypertension (Yes)</italic>
</td>
<td align="center">1.06 (1.01-1.1)</td>
<td align="center">0.015</td>
<td align="center">1 (0.95-1.05)</td>
<td align="center">0.99</td>
</tr>
<tr>
<td align="right">
<italic>Dyslipidemia (Yes)</italic>
</td>
<td align="center">1.03 (0.99-1.08)</td>
<td align="center">0.151</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="right">
<italic>Anxiety (Yes)</italic>
</td>
<td align="center">0.87 (0.84-0.91)</td>
<td align="center">0.001</td>
<td align="center">0.98 (0.94-1.03)</td>
<td align="center">0.474</td>
</tr>
<tr>
<td align="right">
<italic>Asthma (Yes)</italic>
</td>
<td align="center">0.79 (0.76-0.83)</td>
<td align="center">0.001</td>
<td align="center">0.92 (0.87-0.96)</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="right">
<italic>Depression (Yes)</italic>
</td>
<td align="center">0.82 (0.78-0.86)</td>
<td align="center">0.001</td>
<td align="center">0.91 (0.87-0.96)</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="right">
<italic>Diabetes Mellitus (Yes)</italic>
</td>
<td align="center">1.03 (0.98-1.08)</td>
<td align="center">0.316</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="right">
<italic>Ischaemic heart disease (Yes)</italic>
</td>
<td align="center">1.01 (0.96-1.07)</td>
<td align="center">0.705</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="right">
<italic>Heart failure (Yes)</italic>
</td>
<td align="center">0.98 (0.93-1.04)</td>
<td align="center">0.497</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="right">
<italic>Psychotic illness (Yes)</italic>
</td>
<td align="center">0.87 (0.81-0.93)</td>
<td align="center">0.001</td>
<td align="center">0.99 (0.92-1.07)</td>
<td align="center">0.798</td>
</tr>
<tr>
<td align="right">
<italic>Dementia (Yes)</italic>
</td>
<td align="center">0.99 (0.83-1.19)</td>
<td align="center">0.926</td>
<td align="left"/>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SITT, single-inhaler triple therapy; CI, confidence interval; HR, hazard ratio.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Persistence rates were 0.78 &#xb1; 0.33 for the SITT cohort and 0.68 &#xb1; 0.36 for the MITT cohort. The mean costs of SITT and MITT were EUR 909.31 &#xb1; 13.86 and EUR 1,025.31 &#xb1; 96.05 per patient per year, respectively. The ICER of SITT versus MITT ranged from EUR &#x2212;1,160 to EUR &#x2212;1,450 per persistence rate, depending on the gap between prescription refills (60 or 90&#xa0;days).</p>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>Our findings show that patients in the SITT cohort were more adherent than those in the MITT cohort (75% vs 70%). Furthermore, patients in the SITT group showed greater persistence, with a rate more than 10% higher after 12&#xa0;months of treatment. The main predisposing factors for lack of persistence were identified as being a naive patient, having multiple prescribers, being female, and experiencing moderate exacerbations. Additionally, moderate exacerbations occurred 10% more frequently among patients in the MITT cohort.</p>
<p>Our patients&#x2019; baseline characteristics are like those in other European (<xref ref-type="bibr" rid="B2">Alc&#xe1;zar-Navarrete et al., 2022</xref>; <xref ref-type="bibr" rid="B8">Deslee et al., 2023</xref>), American (<xref ref-type="bibr" rid="B18">Mannino et al., 2022</xref>; <xref ref-type="bibr" rid="B5">Bogart et al., 2024</xref>), and Chinese (<xref ref-type="bibr" rid="B16">Lin et al., 2023</xref>) studies. The presence of almost 10% of na&#xef;ve patients is relevant and similar to another European study (<xref ref-type="bibr" rid="B8">Deslee et al., 2023</xref>). However, the Global Initiative for Chronic Obstructive Lung Disease (GOLD) report (<xref ref-type="bibr" rid="B10">Global Initiative for Chronic Obstructive and Lung Disease, 2024</xref>) recommends, albeit with reservations, triple therapy for na&#xef;ve patients with a blood eosinophil count &#x2265;300 cells/&#x3bc;l. As in other observational studies (<xref ref-type="bibr" rid="B2">Alc&#xe1;zar-Navarrete et al., 2022</xref>; <xref ref-type="bibr" rid="B18">Mannino et al., 2022</xref>; <xref ref-type="bibr" rid="B8">Deslee et al., 2023</xref>), patients with a concomitant diagnosis of asthma were not excluded, in contrast to other more restrictive studies (<xref ref-type="bibr" rid="B16">Lin et al., 2023</xref>).</p>
<p>Previous studies show higher adherence in the SITT group than in the MITT group (<xref ref-type="bibr" rid="B18">Mannino et al., 2022</xref>; <xref ref-type="bibr" rid="B16">Lin et al., 2023</xref>; <xref ref-type="bibr" rid="B5">Bogart et al., 2024</xref>), except for a French study (<xref ref-type="bibr" rid="B8">Deslee et al., 2023</xref>), although its results are not significant. For the SITT cohort, results ranged from 26% (<xref ref-type="bibr" rid="B5">Bogart et al., 2024</xref>) to 76.8% (<xref ref-type="bibr" rid="B18">Mannino et al., 2022</xref>) of adherent patients, and for the MITT cohort, from 13.1% (<xref ref-type="bibr" rid="B5">Bogart et al., 2024</xref>) to 65.5% (<xref ref-type="bibr" rid="B16">Lin et al., 2023</xref>). Our results are like the maximum adherence values, although the comparison should be made cautiously because the other studies used the proportion of days covered (PDC) (<xref ref-type="bibr" rid="B18">Mannino et al., 2022</xref>; <xref ref-type="bibr" rid="B16">Lin et al., 2023</xref>; <xref ref-type="bibr" rid="B5">Bogart et al., 2024</xref>) as a measure of adherence instead of MPR. As in other studies (<xref ref-type="bibr" rid="B2">Alc&#xe1;zar-Navarrete et al., 2022</xref>; <xref ref-type="bibr" rid="B18">Mannino et al., 2022</xref>; <xref ref-type="bibr" rid="B8">Deslee et al., 2023</xref>; <xref ref-type="bibr" rid="B16">Lin et al., 2023</xref>; <xref ref-type="bibr" rid="B5">Bogart et al., 2024</xref>), higher persistence was observed in the SITT cohort than in the MITT cohort. Our findings were like those of other studies that defined discontinuation with a gap between prescription refills of 60&#xa0;days (<xref ref-type="bibr" rid="B8">Deslee et al., 2023</xref>; <xref ref-type="bibr" rid="B16">Lin et al., 2023</xref>; <xref ref-type="bibr" rid="B5">Bogart et al., 2024</xref>) and higher than those that used a gap of 30&#xa0;days (<xref ref-type="bibr" rid="B18">Mannino et al., 2022</xref>).</p>
<p>The incidence and risk of moderate exacerbations were lower in the SITT cohort than in the MITT cohort, consistent with other published results (<xref ref-type="bibr" rid="B2">Alc&#xe1;zar-Navarrete et al., 2022</xref>; <xref ref-type="bibr" rid="B16">Lin et al., 2023</xref>). In addition, our results showed a direct relationship between moderate exacerbations and lack of persistence. On the other hand, this result may have been influenced by the higher proportion of patients with concomitant asthma in the MITT group than in the SITT group.</p>
<p>Additionally, the MITT cohort required almost twice dose escalation as the SITT cohort. A greater need for dose escalation, lower persistence, and a higher incidence of moderate exacerbations may suggest that the MITT cohort has lower treatment efficacy than the SITT cohort.</p>
<p>Being a na&#xef;ve patient was associated with a 45% decrease in persistence, reducing the mean treatment persistence by 50&#xa0;days in both cohorts. Other predictors of decreased persistence were a diagnosis of asthma (8%) and depression (9%). Another study looking at the same predictors (<xref ref-type="bibr" rid="B8">Deslee et al., 2023</xref>) found only depression to be significant.</p>
<p>As in other studies (<xref ref-type="bibr" rid="B2">Alc&#xe1;zar-Navarrete et al., 2022</xref>; <xref ref-type="bibr" rid="B5">Bogart et al., 2024</xref>), medication costs were lower in the SITT cohort than in the MITT cohort. The cost-effectiveness analysis results showed that SIIT was the dominant option. Similar results were found in a systematic review evaluating the cost-effectiveness of single versus multiple inhalers in asthma and COPD (<xref ref-type="bibr" rid="B32">Zhang et al., 2020</xref>). However, our region has more patients with MITT than with SITT. This may be because SITTs have been on the market for a shorter time than MITTs, and changes in prescribing habits occur gradually.</p>
<p>The limitations of our study are similar to those of other observational studies (<xref ref-type="bibr" rid="B2">Alc&#xe1;zar-Navarrete et al., 2022</xref>; <xref ref-type="bibr" rid="B18">Mannino et al., 2022</xref>; <xref ref-type="bibr" rid="B8">Deslee et al., 2023</xref>; <xref ref-type="bibr" rid="B16">Lin et al., 2023</xref>; <xref ref-type="bibr" rid="B5">Bogart et al., 2024</xref>). As in other studies published by our group (<xref ref-type="bibr" rid="B22">Pedrosa-Naud&#xed;n et al., 2022</xref>; <xref ref-type="bibr" rid="B11">Guti&#xe9;rrez-Abej&#xf3;n et al., 2023</xref>; <xref ref-type="bibr" rid="B12">2024</xref>; <xref ref-type="bibr" rid="B19">Mart&#xed;n-Fern&#xe1;ndez et al., 2025</xref>), we assumed that dispensing approximates consumption. As in previous studies (<xref ref-type="bibr" rid="B19">Mart&#xed;n-Fern&#xe1;ndez et al., 2025</xref>), we excluded patients who had fewer than two prescription refills. This may be a confounding factor because not filling more prescriptions could be related to the perception that the treatment is ineffective. In this case, the number of patients excluded from each cohort was similar: 3,172 from the MITT group and 3,364 from the SITT group. Moderate exacerbations were extrapolated from pharmacy claims without physician confirmation. Due to a lack of access to hospital admission data, severe exacerbations could not be assessed. Finally, only drug-related costs were included in the cost-effectiveness analysis.</p>
<p>In conclusion, the SITT cohort showed a 33% increase in adherence, a 56% improvement in persistence, and a 35% reduction in the risk of moderate exacerbations compared to the MITT cohort. In addition, moderate exacerbations were associated with a 15% reduction in the likelihood of persistence. Lastly, this study confirms that SITT is the most cost-effective treatment for patients with moderate to severe COPD and a history of exacerbations. These findings support the SITT initiation, especially for na&#xef;ve patients, offering a practical and effective strategy for optimizing COPD management.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The data analyzed in this study is subject to the following licenses/restrictions: Restrictions apply to the availability of these data. Data were obtained from regional health authorities (Gerencia Regional de Salud (GRS)) and may be requested from conciertofco@saludcastillayleon.es. Requests to access these datasets should be directed to conciertofco@saludcastillayleon.es.</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Valladolid Health Area Ethics Committee on October 9, 2024 (reference number PI-24-561-APE). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin because in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>MG-G: Methodology, Conceptualization, Investigation, Writing &#x2013; review and editing. MP-N: Writing &#x2013; review and editing, Validation, Formal Analysis, Conceptualization, Investigation, Software. DF-L: Writing &#x2013; review and editing, Formal Analysis, Methodology, Investigation. IP: Methodology, Writing &#x2013; review and editing, Investigation. F&#xc1;: Conceptualization, Writing &#x2013; review and editing, Supervision, Writing &#x2013; original draft, Validation, Visualization, Methodology. EG-A: Funding acquisition, Writing &#x2013; review and editing, Methodology, Software, Formal Analysis, Project administration, Data curation, Writing &#x2013; original draft, Resources, Conceptualization.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by Gerencia Regional de Salud de Castilla y Le&#xf3;n, Spain, grant number GRS 2778/C/23. AstraZeneca funded the medical writing adaptation services and article processing costs associated with this publication. The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. The findings and conclusions in this report are those of the authors and do not necessarily represent the views of the funders and collaborating institutions.</p>
</sec>
<ack>
<p>The authors thank the Pharmacy Directorate (Gerencia Regional de Salud de Castilla y Le&#xf3;n) for access to the Concylia database.</p>
</ack>
<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="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was 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="s11">
<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="s12">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2025.1642470/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2025.1642470/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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