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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Neurology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-2295</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fneur.2026.1728596</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>The Lithuanian multiple sclerosis registry: current framework and quality challenges</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Isa&#x0010D;enko</surname> <given-names>Julija</given-names></name>
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<name><surname>Musneckien&#x00117;</surname> <given-names>Dalia</given-names></name>
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<contrib contrib-type="author">
<name><surname>Kizlaitien&#x00117;</surname> <given-names>Rasa</given-names></name>
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<contrib contrib-type="author">
<name><surname>Giedraitien&#x00117;</surname> <given-names>Nata&#x00161;a</given-names></name>
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<name><surname>Kizlaitis</surname> <given-names>Romualdas</given-names></name>
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<contrib contrib-type="author">
<name><surname>Malcien&#x00117;</surname> <given-names>Lina</given-names></name>
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<name><surname>Jatu&#x0017E;is</surname> <given-names>Dalius</given-names></name>
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<name><surname>Kaubrys</surname> <given-names>Gintaras</given-names></name>
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<contrib contrib-type="author">
<name><surname>Rastenyt&#x00117;</surname> <given-names>Daiva</given-names></name>
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<aff id="aff1"><label>1</label><institution>Department of Neurology, Lithuanian University of Health Sciences Kaunas Clinics</institution>, <city>Kaunas</city>, <country country="lt">Lithuania</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Neurology, Medical Academy, Lithuanian University of Health Sciences</institution>, <city>Kaunas</city>, <country country="lt">Lithuania</country></aff>
<aff id="aff3"><label>3</label><institution>Clinic of Neurology and Neurosurgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University</institution>, <city>Vilnius</city>, <country country="lt">Lithuania</country></aff>
<aff id="aff4"><label>4</label><institution>Independent Researcher</institution>, <city>Vilnius</city>, <country country="lt">Lithuania</country></aff>
<aff id="aff5"><label>5</label><institution>Department of Neural Diseases and Rehabilitation, Klaipeda University Hospital</institution>, <city>Klaipeda</city>, <country country="lt">Lithuania</country></aff>
<author-notes>
<corresp id="c001"><label>&#x0002A;</label>Correspondence: Julija Isa&#x0010D;enko, <email xlink:href="mailto:julija.isacenko@kaunoklinikos.lt">julija.isacenko@kaunoklinikos.lt</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-23">
<day>23</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1728596</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>25</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2026 Isa&#x0010D;enko, Musneckien&#x00117;, Kizlaitien&#x00117;, Giedraitien&#x00117;, Kizlaitis, Malcien&#x00117;, Jatu&#x0017E;is, Kaubrys and Rastenyt&#x00117;.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Isa&#x0010D;enko, Musneckien&#x00117;, Kizlaitien&#x00117;, Giedraitien&#x00117;, Kizlaitis, Malcien&#x00117;, Jatu&#x0017E;is, Kaubrys and Rastenyt&#x00117;</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-23">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>This article presents the current structure, data collection methods, coverage, and limitations of the Lithuanian Multiple Sclerosis (MS) Registry.</p></sec>
<sec>
<title>Materials and methods</title>
<p>The Lithuanian MS Registry, established by the Lithuanian Neurologists&#x00027; Association, began its activities in 2013. All three national centers providing MS treatment in Lithuania have secure access to their respective patient data and can enter new clinical information into the registry. Adult individuals with a suspected or confirmed diagnosis of MS who receive care in Lithuania and provide written informed consent are eligible for inclusion in the Multiple Sclerosis Patient Surveillance System registry. For the present analysis, a dataset comprising all records from February 1, 2013, to January 1, 2024, was extracted on June 17, 2024.</p></sec>
<sec>
<title>Results</title>
<p>The registry collects individual data on demographics, results from specific diagnostic procedures (such as cerebrospinal fluid analysis, evoked potentials), clinical evaluations conducted at every visit (based on the Expanded Disability Status Scale), treatment, and relapses (including their dates and whether corticosteroid treatment was administered). Currently, the registry includes 2,923 patients. Of these, 1,651 patients are classified as in active follow-up (those with at least one recorded visit since January 1, 2021) and represent less than half of the total MS population in Lithuania (47.3%). The registry covers approximately 69.5%&#x02212;74.6% of all patients receiving disease-modifying therapy in the country.</p></sec>
<sec>
<title>Conclusion</title>
<p>Although the registry has been operating for more than a decade, challenges remain in patient enrollment and ensuring high-quality data collection. Strengthening validation processes is essential to ensure the registry&#x00027;s reliability and utility in both clinical practice and research settings.</p></sec></abstract>
<kwd-group>
<kwd>epidemiology</kwd>
<kwd>Lithuania</kwd>
<kwd>multiple sclerosis</kwd>
<kwd>real-world data</kwd>
<kwd>registries</kwd>
</kwd-group>
<funding-group>
  <funding-statement>The author(s) declared that financial support was received for this work and/or its publication. The Lithuanian Neurologists Association received an unconditional grant from Merck, Novartis, Sanofi, Bayer and Roche.</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="24"/>
<page-count count="6"/>
<word-count count="4298"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Multiple Sclerosis and Neuroimmunology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Patient registries serve as valuable tools for generating meaningful data that guide healthcare policymakers in developing effective models of care (<xref ref-type="bibr" rid="B1">1</xref>). In the rapidly evolving field of multiple sclerosis (MS) treatments, registry-based real-world studies are increasingly important in informing clinical decisions (<xref ref-type="bibr" rid="B2">2</xref>&#x02013;<xref ref-type="bibr" rid="B4">4</xref>). These studies often provide insights more applicable to the general population than randomized controlled trials, offering practical information on the effectiveness and safety of disease-modifying therapies (<xref ref-type="bibr" rid="B5">5</xref>). Moreover, MS registries facilitate international data sharing, enabling researchers and institutions worldwide to collaborate on studies that enhance the understanding of MS across diverse populations (<xref ref-type="bibr" rid="B6">6</xref>&#x02013;<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Numerous European countries have national MS registries: Denmark (since 1956), France (since 1976), Sweden (since 1997), Norway (since 1998), Germany (since 2001), Italy (since 2001), Austria (since 2004), United Kingdom (since 2009), Poland (since 2011), Belgium (since 2012), the Czech Republic (since 2013), Switzerland (since 2012), Finland (since 2014), the Netherlands (since 2017), et al. (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B9">9</xref>&#x02013;<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>The Lithuanian MS Registry, established by the Lithuanian Neurologists&#x00027; Association, began its activities in 2013. Although the registry has been operating for more than a decade, it still faces challenges in enrolling patients and obtaining high-quality data.</p>
<p>The purpose of this article is to introduce the Lithuanian MS Registry and to evaluate its current performance by describing its structure and data collection processes, assessing patient coverage and data quality, and identifying limitations affecting its representativeness of the national MS population.</p></sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and methods</title>
<p>The Lithuanian Neurologists&#x00027; Association initiated and funded the Lithuanian MS Registry&#x02014;an open-ended, longitudinal, prospective, nationwide, patient-oriented registry study. Data collection for biomedical research was approved by the Lithuanian Bioethics Committee in 2011.</p>
<p>An information system was developed to align with the data structures of the MSBase and iMed platforms, while also accommodating the specific requirements of Lithuanian MS specialists. The registry is built on a Microsoft SQL Server database with secure web-based access and is hosted at the Vilnius University Hospital Data Center.</p>
<p>Adult individuals with a suspected or confirmed diagnosis of MS (based on the 2017 McDonald criteria) who receive care in Lithuania and provide written informed consent are eligible for inclusion in the Lithuanian MS Registry.</p>
<p>All three national centers providing MS treatment in Lithuania&#x02014;Vilnius University Hospital Santaros Klinikos, the Hospital of the Lithuanian University of Health Sciences Kauno Klinikos, and Klaipeda University Hospital&#x02014;have secure access to their respective patient data and can enter new clinical information into the registry. Although physicians cannot access data from other centers, the registry is designed to maintain data integrity, prevent duplicate entries by checking personal codes when new patient data are added, and ensure continuity of care during patient transfers between centers or treating physicians. Registry records were completed by a neurologist, resident, and secretary. Data entry was performed both prospectively and retrospectively using medical records, reflecting real-world clinical data and monitoring of patient care. This included all documented patient visits&#x02014;whether scheduled or conducted remotely&#x02014;typically occurring every 3 months. Patients could also be seen earlier if they felt it necessary.</p>
<p>The registry collects individual-level data on demographic and socioeconomic characteristics, including age, sex, education level, marital status, and employment status; clinical history, including date of first symptom onset, date of diagnosis, and date of first clinical visit; diagnostic investigations, including cerebrospinal fluid analysis and evoked potentials; clinical assessments performed at each visit using the Expanded Disability Status Scale (EDSS); disease-modifying treatments; and relapse history, including relapse dates and the use of corticosteroid therapy or plasmapheresis.</p>
<p>To illustrate the registry&#x00027;s operational structure, screenshots of key interface components&#x02014;such as the patient summary page, treatment timeline display, and clinical data entry forms&#x02014;are presented in the <xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>.</p>
<p>For the present analysis, a dataset comprising all records from February 1, 2013, to January 1, 2024, was extracted on June 17, 2024. The data were processed and analyzed using Microsoft Access and IBM SPSS Statistics software. To compare non-parametric data, the Mann&#x02013;Whitney <italic>U</italic> test and the chi-square test were used.</p>
<p>For comparative purposes, additional epidemiological and administrative data were obtained from the Hygiene Institute and the National Health Insurance Fund under the Ministry of Health of the Republic of Lithuania.</p></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Patient enrolment</title>
<p>Annual patient enrollment varied markedly between 2013 and 2023 (<xref ref-type="fig" rid="F1">Figure 1</xref>). Enrollment was highest in 2013 (747 patients), followed by a sharp decline in 2014 (157 patients). From 2015 to 2017, enrollment increased gradually, ranging from 226 to 284 patients, before decreasing again in 2018 (195 patients). A pronounced increase was observed in 2019 (490 patients), after which enrollment declined substantially in 2020 (143 patients) and remained relatively low and stable from 2021 to 2023 (112&#x02013;161 patients per year).</p>
<fig position="float" id="F1">
<label>Figure 1</label>
<caption><p>Annual enrollment of the Lithuanian MS Registry.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fneur-17-1728596-g0001.tif">
<alt-text content-type="machine-generated">Line graph showingnew annual enrollments per year from 2013 to 2023, with a peak near 750 in 2013, a sharp drop in 2014, a smaller peak in 2019, and low, stable values from 2020 onward.</alt-text>
</graphic>
</fig>
<p>At present, the registry includes 2,923 patients. According to data from the Hygiene Institute, 3,493 patients with MS were registered in Lithuania in 2023, corresponding to an estimated MS prevalence of 121.6 per 100,000 population.</p>
<p>Oligoclonal band (OB) testing in cerebrospinal fluid was performed in 1,263 patients, with OB detected in 1,043 cases (82.6%).</p>
</sec>
<sec>
<title>Follow-up activity and data completeness</title>
<p>Follow-up activity was used as an indicator of data recency. Patients were classified as having active follow-up if at least one visit had been recorded since January 1, 2021, and as having inactive follow-up otherwise. Detailed characteristics of these groups are presented in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Characteristics of &#x0201C;active follow-up&#x0201D; multiple sclerosis patients in the Lithuanian MS Registry compared to patients without recorded visits since 2021.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Characteristic</bold></th>
<th valign="top" align="center"><bold>Active follow-up</bold></th>
<th valign="top" align="center"><bold>Inactive follow-up</bold></th>
<th valign="top" align="center"><bold><italic>p-</italic>value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">All</td>
<td valign="top" align="center">1,651</td>
<td valign="top" align="center">1,272</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Women, <italic>n</italic> (%)</td>
<td valign="top" align="center">1,082 (65.5)</td>
<td valign="top" align="center">852 (67.0)</td>
<td valign="top" align="center">0.082</td>
</tr>
<tr>
<td valign="top" align="left">Median of age, (min-max)<sup>&#x0002A;</sup>, years</td>
<td valign="top" align="center">46 (19&#x02013;80)</td>
<td valign="top" align="center">56 (23&#x02013;91)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Median of age at first visit (min-max), years</td>
<td valign="top" align="center">34 (10&#x02013;75)</td>
<td valign="top" align="center">38 (12&#x02013;77)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Duration of follow up<sup>&#x0002A;&#x0002A;</sup>, median (min-max), years</td>
<td valign="top" align="center">5 (&#x02212;2 to 11)</td>
<td valign="top" align="center">0 (&#x02212;20 to 7)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Duration from first visit to registry inclusion median (min-max), months</td>
<td valign="top" align="center">24 (&#x02212;2 to 481)</td>
<td valign="top" align="center">74.5 (0&#x02013;392)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Number of patient visits, median (min-max)</td>
<td valign="top" align="center">21 (1&#x02013;122)</td>
<td valign="top" align="center">10 (1&#x02013;95)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Median frequency of visits per year (min-max)</td>
<td valign="top" align="center">3 (0.4&#x02013;10.2)</td>
<td valign="top" align="center">0.9 (0.04&#x02013;5.3)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4">MS clinical courses</td>
</tr>
<tr>
<td valign="top" align="left">RR, <italic>n</italic> (%)</td>
<td valign="top" align="center">922<sup>a</sup> (55.8)</td>
<td valign="top" align="center">238<sup>b</sup> (18.7)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">PP, <italic>n</italic> (%)</td>
<td valign="top" align="center">40<sup>a</sup> (2.4)</td>
<td valign="top" align="center">42<sup>a</sup> (3.3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">SP, <italic>n</italic> (%)</td>
<td valign="top" align="center">55<sup>a</sup> (3.3)</td>
<td valign="top" align="center">116<sup>b</sup> (9.1)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Unknown, <italic>n</italic> (%)</td>
<td valign="top" align="center">634<sup>a</sup> (38.4)</td>
<td valign="top" align="center">876<sup>b</sup> (68.9)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">EDSS during first visit, median (min.-max)</td>
<td valign="top" align="center">2.5 (0&#x02013;8.5)</td>
<td valign="top" align="center">3.0 (0&#x02013;8.5)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">EDSS during last visit, median (min-max)</td>
<td valign="top" align="center">3.0 (1&#x02013;8.5)</td>
<td valign="top" align="center">3.5 (0&#x02013;7.5)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Use of disease modifying treatment, <italic>n</italic> (%)</td>
<td valign="top" align="center">1394<sup>a</sup> (84.4)</td>
<td valign="top" align="center">373<sup>b</sup> (29.3)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Treatment with AHSCT, <italic>n</italic> (%)</td>
<td valign="top" align="center">17<sup>a</sup> (1.0)</td>
<td valign="top" align="center">9<sup>a</sup> (0.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Patients who have at least one registered relapse, <italic>n</italic> (%)</td>
<td valign="top" align="center">1,536 (93.0)</td>
<td valign="top" align="center">999 (78.5)</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left">Number of relapses per person, median (min-max)</td>
<td valign="top" align="center">3 (1&#x02013;25)</td>
<td valign="top" align="center">3 (1&#x02013;25)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Treated with corticosteroids, median (min-max)</td>
<td valign="top" align="center">2 (1&#x02013;19)</td>
<td valign="top" align="center">2 (1&#x02013;22)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Treated with plasmapheresis, median (min-max)</td>
<td valign="top" align="center">1 (1&#x02013;10)</td>
<td valign="top" align="center">2 (1&#x02013;23)</td>
<td/>
</tr></tbody>
</table>
<table-wrap-foot>
<p>RR, relapsing-remitting; PP, primary progressive; SP, secondary-progressive; EDSS, Expanded Disability Status Scale; AHSCT, autologous hematopoietic stem cell transplantation. <sup>&#x0002A;</sup>Age at the time the data was received. <sup>&#x0002A;&#x0002A;</sup>Calculated based on the date of the last visit and the date on which the patient was registered in the registry. a,b Superscript letters denote groups that differ significantly in post-hoc chi-square comparisons.</p>
</table-wrap-foot>
</table-wrap>
<p>A total of 1,651 patients (47.3%) had active follow-up. Patients in the active follow-up group were younger (median age 46 vs. 56 years; <italic>p</italic> &#x0003C; 0.001) and had a younger age at first visit (median 34 vs. 38 years; <italic>p</italic> &#x0003C; 0.001). The sex distribution did not differ significantly between groups (<italic>p</italic> = 0.082).</p>
<p>The duration from first visit to registry inclusion was shorter among patients with active follow-up (median 24 vs. 74.5 months; <italic>p</italic> &#x0003C; 0.001). These patients also had a longer duration of follow-up (median 5 vs. 0 years; <italic>p</italic> &#x0003C; 0.001), a higher number of recorded visits (median 21 vs. 10; <italic>p</italic> &#x0003C; 0.001), and a higher median visit frequency per year (3.0 vs. 0.9; <italic>p</italic> &#x0003C; 0.001).</p>
<p>The distribution of MS clinical courses differed significantly between the groups (<italic>p</italic> &#x0003C; 0.001). The proportion of patients with an unknown clinical course was higher in the inactive follow-up group (68.9 vs. 38.4%).</p>
<p>Markers of disability also differed between groups. Patients with active follow-up had lower EDSS scores at both the first (median 2.5 vs. 3.0; <italic>p</italic> &#x0003C; 0.001) and last recorded visit (median 3.0 vs. 3.5; <italic>p</italic> &#x0003C; 0.001). Moreover, within the active follow-up group, 88.8% of patients had a last recorded EDSS score below 6, indicating that the vast majority remained in the mild-to-moderate disability range.</p>
<p>The annual numbers of registered patients with active and inactive follow-up are shown in <xref ref-type="fig" rid="F2">Figure 2</xref>.</p>
<fig position="float" id="F2">
<label>Figure 2</label>
<caption><p>Annual enrollment by follow-up status (active and inactive follow-up groups).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fneur-17-1728596-g0002.tif">
<alt-text content-type="machine-generated">Bar chart showing new annual enrollments from 2013 to 2023, divided by active and inactive follow-up. Highest counts appear in 2013 for active and 2019 for inactive follow-up, both declining over time.</alt-text>
</graphic>
</fig>
<p>Overall, nine deaths were recorded in the MS Registry. According to data from the Hygiene Institute, 25 deaths among patients with MS were reported in Lithuania in 2023.</p>
</sec>
<sec>
<title>Disease-modifying treatment</title>
<p>Use of disease-modifying therapy (DMT) was more common among active follow-up patients (84.4 vs. 29.3%; <italic>p</italic> &#x0003C; 0.001). As shown in <xref ref-type="table" rid="T2">Table 2</xref>, 1,394 active follow-up patients were receiving DMTs. Platform therapies&#x02014;including first-line injectables, teriflunomide, and dimethyl fumarate&#x02014;accounted for more than half of all treatments. Among biologic therapies, ocrelizumab was the most frequently used (14.3%), followed by ofatumumab (5.4%), natalizumab (3.2%), and alemtuzumab (1.9%). In the active follow-up group, the median duration of treatment with the same DMT was 3 years, with the longest continuous treatment observed for interferon beta-1a (23 years). Comparison with national reimbursement data for 2023&#x02013;2024 demonstrated similar treatment distributions. Overall, the registry captures approximately 69.5%&#x02212;74.6% of all patients receiving DMT in Lithuania.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Distribution of patients receiving disease-modifying therapy.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>DMT</bold></th>
<th valign="top" align="center"><bold>&#x0201C;Active follow-up&#x0201D; patients who received DMT, <italic>n</italic> (%)</bold></th>
<th valign="top" align="center"><bold>MS patients who received DMT in 2023<sup>&#x0002A;</sup>, <italic>n</italic> (%)</bold></th>
<th valign="top" align="center"><bold>MS patients who received DMT in 2024<sup>&#x0002A;</sup>, <italic>n</italic> (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">First-line injectable DMTs</td>
<td valign="top" align="center">366 (26.3)</td>
<td valign="top" align="center">444 (23.8)</td>
<td valign="top" align="center">416 (20.7)</td>
</tr>
<tr>
<td valign="top" align="left">Teriflunomide</td>
<td valign="top" align="center">184 (13.2)</td>
<td valign="top" align="center">305 (16.3)</td>
<td valign="top" align="center">306 (15.2)</td>
</tr>
<tr>
<td valign="top" align="left">Dimethyl fumarate</td>
<td valign="top" align="center">188 (13.5)</td>
<td valign="top" align="center">309 (16.5)</td>
<td valign="top" align="center">279 (13.9)</td>
</tr>
<tr>
<td valign="top" align="left">Fingolimod</td>
<td valign="top" align="center">76 (5.5)</td>
<td valign="top" align="center">123 (6.6)</td>
<td valign="top" align="center">106 (5.3)</td>
</tr>
<tr>
<td valign="top" align="left">Ponesimod</td>
<td valign="top" align="center">29 (2.1)</td>
<td valign="top" align="center">47 (2.5)</td>
<td valign="top" align="center">109 (5.4)</td>
</tr>
<tr>
<td valign="top" align="left">Siponimod</td>
<td valign="top" align="center">30 (2.2)</td>
<td valign="top" align="center">33 (1.8)</td>
<td valign="top" align="center">23 (1.1)</td>
</tr>
<tr>
<td valign="top" align="left">Cladribine</td>
<td valign="top" align="center">160 (11.5)</td>
<td valign="top" align="center">131 (7.0)</td>
<td valign="top" align="center">122 (6.1)</td>
</tr>
<tr>
<td valign="top" align="left">Ocrelizumab</td>
<td valign="top" align="center">199 (14.3)</td>
<td valign="top" align="center">373 (20.0)</td>
<td valign="top" align="center">394 (19.6)</td>
</tr>
<tr>
<td valign="top" align="left">Ofatumumab</td>
<td valign="top" align="center">75 (5.4)</td>
<td valign="top" align="center">59 (3.2)</td>
<td valign="top" align="center">212 (10.6)</td>
</tr>
<tr>
<td valign="top" align="left">Natalizumab</td>
<td valign="top" align="center">60 (4.3)</td>
<td valign="top" align="center">44 (2.4)</td>
<td valign="top" align="center">40 (2.0)</td>
</tr>
<tr>
<td valign="top" align="left">Alemtuzumab</td>
<td valign="top" align="center">27 (1.9)</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">Over all</td>
<td valign="top" align="center">1,394</td>
<td valign="top" align="center">1,868</td>
<td valign="top" align="center">2,007</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>MS, multiple sclerosis; DMT, disease-modifying therapy.</p>
<p><sup>&#x0002A;</sup>Data from the National Health Insurance Fund under the Ministry of Health.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This report describes the rationale for establishing the Lithuanian Multiple Sclerosis Registry and summarizes the scope of data collected to date. Although the registry has been in place for over a decade, it continues to face challenges in achieving representative patient coverage and ensuring high data quality. These limitations are partly attributable to the lack of integration with existing clinical documentation systems and the absence of systematic quality control procedures.</p>
<p>Analysis of enrollment patterns indicates marked variation over time. The initial peak in enrollment corresponds to the early phase of registry activity and likely reflects the inclusion of large volumes of retrospectively collected data. A second peak observed in 2019 may be attributable to intensified data entry during the COVID-19 pandemic, when reduced routine clinical activity during lockdown periods may have allowed clinicians more time to compile and submit registry data. In more recent years, patient enrollment has shown a declining trend.</p>
<p>In Lithuania, DMTs are prescribed exclusively at specialized MS centers. Patients who are not treated with DMTs are typically managed in primary care, which increases the likelihood that patients receiving DMTs are captured in the registry. This differential inclusion suggests the presence of selection bias and may limit the generalizability of registry-based analyses. Although the registry includes approximately 69.5%&#x02212;74.6% of patients receiving DMTs nationwide, only 47.3% of the estimated MS population in Lithuania has active follow-up recorded, indicating incomplete longitudinal coverage. Notably, despite reimbursement restrictions, nearly one third (32.2%) of all MS patients receiving DMTs in Lithuania are treated with biological therapies.</p>
<p>Data completeness represents another important limitation. A substantial proportion of cases lack information on key clinical variables, particularly disease course, with missing data more frequent among patients with inactive follow-up. Discrepancies in mortality reporting further illustrate challenges in data completeness, as the number of deaths recorded in the registry is considerably lower than figures reported by national statistical sources. Together, these findings emphasize the need for improved mechanisms for systematic data updating and validation.</p>
<p>The registry is also constrained by the limited range of collected variables. Notably, the absence of brain MRI data restricts its usefulness for detailed clinical characterization and advanced research applications, particularly in studies of disease progression and treatment response.</p>
<p>Furthermore, increased efforts and closer cooperation are needed to develop the database infrastructure and software and distribute the tool across all participating centers. Providing comprehensive training and ongoing support will be essential to encourage widespread adoption and ensure proper use. Additionally, continuous maintenance, regular updates, and systematic monitoring must be implemented to guarantee data quality, security, and effective utilization over time. Sustained collaboration and clear communication between technical teams, physicians, and administrators will maximize the tool&#x00027;s potential and ultimately improve patient care and research outcomes.</p>
<p>Successful examples from other countries can serve as motivation for improvement. The Czech National Registry (ReMuS) began its activities in 2013 and has since demonstrated consistent growth in patient enrollment, reaching 17,478 actively monitored individuals out of an estimated 22,000 MS patients in the Czech Republic by 2021&#x02014;approximately 79.4% (<xref ref-type="bibr" rid="B15">15</xref>). In comparison, our registry&#x02014;although initiated around the same time&#x02014;continues to face challenges in patient recruitment, currently covering approximately 55% of all registered MS patients in Lithuania, and 47.3% of patients in active follow-up. The Swedish MS Registry has contributed data to over 100 scientific reports and has recently published a validation of the registry (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Patient-reported outcome platforms used in the UK and Finnish registries further enhance data collection for both clinical care and research, while the Norwegian registry&#x00027;s integration of a biobank supports translational research efforts (<xref ref-type="bibr" rid="B18">18</xref>&#x02013;<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>International initiatives also provide guidance for future improvements. An expert workshop organized by the U.S. National Institute of Neurological Disorders and Stroke and the National Multiple Sclerosis Society produced strategic recommendations for optimizing the use of MS cohort data, particularly in progressive MS research (<xref ref-type="bibr" rid="B23">23</xref>). The recently published MS Data Alliance Core Dataset guides offer practical tools for restructuring dataset categories and variables to align with international standards (<xref ref-type="bibr" rid="B24">24</xref>). Adoption of these recommendations could enhance data comparability, facilitate international collaboration, and enable participation in broader research networks and data-sharing initiatives.</p></sec>
<sec id="s5">
<title>Conclusions</title>
<p>The Lithuanian MS Registry captures a substantial proportion of the national MS population and provides valuable longitudinal monitoring data. Notably, Lithuania is the only country among the three Baltic states to have a dedicated MS Registry, representing an important first step in structured MS data collection and monitoring. The registry faces challenges related to the comprehensive enrollment of all MS patients across the country, as well as issues concerning data completeness and accuracy. A decline in patient recruitment and inconsistencies with external data sources underscore the need for improved data integration and robust quality assurance measures. Strengthening validation processes is essential to ensure the registry&#x00027;s reliability and utility in both clinical practice and research settings.</p></sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The datasets presented in this article are not readily available because parts of this material are based on data and/or information compiled and provided by the Hygiene Institute and the National Health Insurance Fund under the Ministry of Health of the Republic of Lithuania, which are publicly available. The dataset from the Lithuanian MS Registry is held securely in coded form and is not accessible to the public. Requests to access the datasets should be directed to <email>dalius.jatuzis&#x00040;santa</email>.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Lithuanian Bioethics Committee. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>JI: Formal analysis, Investigation, Visualization, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. DM: Investigation, Project administration, Supervision, Writing &#x02013; review &#x00026; editing. RK: Investigation, Supervision, Writing &#x02013; review &#x00026; editing. NG: Investigation, Supervision, Writing &#x02013; review &#x00026; editing. RK: Data curation, Formal analysis, Software, Writing &#x02013; review &#x00026; editing. LM: Investigation, Writing &#x02013; review &#x00026; editing. DJ: Funding acquisition, Project administration, Supervision, Writing &#x02013; review &#x00026; editing. GK: Supervision, Writing &#x02013; review &#x00026; editing. DR: Conceptualization, Methodology, Supervision, Writing &#x02013; review &#x00026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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="s10">
<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="s11">
<title>Publisher&#x00027;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/fneur.2026.1728596/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fneur.2026.1728596/full#supplementary-material</ext-link></p>
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<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/2002443/overview">Wenqiang Che</ext-link>, Guangdong Provincial People&#x00027;s Hospital, China</p>
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<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/437852/overview">Melinda Magyari</ext-link>, Danish Multiple Sclerosis Center (DMSC), Denmark</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1127359/overview">Luca Bollo</ext-link>, Vall d&#x00027;Hebron University Hospital, Spain</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1744119/overview">Dongmei Jia</ext-link>, Tianjin Medical University General Hospital, China</p>
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