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    <IdentifierDoi>10.3205/25rhk013</IdentifierDoi>
    <IdentifierUrn>urn:nbn:de:0183-25rhk0136</IdentifierUrn>
    <ArticleType>Meeting Abstract</ArticleType>
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      <Title language="en">Resting heart rate as a prognostic marker for fatigue in Primary Sjoegren&#8217;s syndrome</Title>
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          <Lastname>Rohling Guisoni Mendes</Lastname>
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          <Affiliation>University of L&#252;beck, Department of Rheumatology and Clinical Immunology, L&#252;beck</Affiliation>
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          <Affiliation>University of L&#252;beck, Department of Rheumatology and Clinical Immunology, L&#252;beck</Affiliation>
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          <Lastname>Eichlohn</Lastname>
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          <Affiliation>University of L&#252;beck, Department of Rheumatology and Clinical Immunology, L&#252;beck</Affiliation>
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          <Lastname>Stenger</Lastname>
          <LastnameHeading>Stenger</LastnameHeading>
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          <Affiliation>University of L&#252;beck, Department of Rheumatology and Clinical Immunology, L&#252;beck</Affiliation>
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          <Lastname>Riemekasten</Lastname>
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          <Firstname>Gabriela</Firstname>
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          <Affiliation>University of L&#252;beck, Department of Rheumatology and Clinical Immunology, L&#252;beck</Affiliation>
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          <Affiliation>University of L&#252;beck, Department of Medical Clinic III, L&#252;beck</Affiliation>
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          <Lastname>Lange</Lastname>
          <LastnameHeading>Lange</LastnameHeading>
          <Firstname>Tanja</Firstname>
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          <Affiliation>University of L&#252;beck, Department of Rheumatology and Clinical Immunology, L&#252;beck</Affiliation>
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          <Corporatename>German Medical Science GMS Publishing House</Corporatename>
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        <Address>D&#252;sseldorf</Address>
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      <SubjectheadingDDB>610</SubjectheadingDDB>
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      <DatePublished>20250917</DatePublished>
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    <Language>engl</Language>
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      <AltText language="de">Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung).</AltText>
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      <Meeting>
        <MeetingId>M0627</MeetingId>
        <MeetingSequence>013</MeetingSequence>
        <MeetingCorporation>Deutsche Gesellschaft f&#252;r Rheumatologie</MeetingCorporation>
        <MeetingCorporation>Deutsche Gesellschaft f&#252;r Orthop&#228;dische Rheumatologie</MeetingCorporation>
        <MeetingName>53. Kongress der Deutschen Gesellschaft f&#252;r Rheumatologie (DGRh), 39. Jahrestagung der Deutschen Gesellschaft f&#252;r Orthop&#228;dische Rheumatologie (DGORh)</MeetingName>
        <MeetingTitle>Deutscher Rheumatologiekongress 2025</MeetingTitle>
        <MeetingSession>Digitale Rheumatologie</MeetingSession>
        <MeetingCity>Wiesbaden</MeetingCity>
        <MeetingDate>
          <DateFrom>20250917</DateFrom>
          <DateTo>20250920</DateTo>
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      <MainHeadline>Text</MainHeadline><Pgraph><Mark1>Introduction: </Mark1>Fatigue affects approximately 70&#37; of patients with primary Sj&#246;gren syndrome (pSS) and significantly impacts their quality of life <TextLink reference="1"></TextLink>. Notably, improvements in VO2max, a marker of cardiorespiratory fitness, appear to be associated with reductions in fatigue <TextLink reference="2"></TextLink>. Photoplethysmography (PPG) sensor technology has been shown to accurately measure resting heart rate (RHR) &#8211; a validated population-level biomarker of cardiorespiratory fitness <TextLink reference="3"></TextLink>. While a single RHR measurement provides limited information, PPG-based wearables allow continuous monitoring, with longitudinal data serving as a valuable prognostic marker <TextLink reference="4"></TextLink>. The study aimed to investigate the correlation between fatigue scores and RHR in pSS patients.</Pgraph><Pgraph><Mark1>Methods: </Mark1>Eight pSS patients and seven healthy controls were recruited over six months. Heart rate was measured using the wireless VitalPatch<Superscript>&#174;</Superscript> PPG-sensor, and fatigue was assessed using the FACIT-F questionnaire <TextLink reference="5"></TextLink>. Participants wore the sensor for seven consecutive days as part of their daily lives. After the technology use period, the sensor and completed questionnaire were returned to our clinic. An in-house R script was developed to automate both the visualization and computation of resting heart rate data.</Pgraph><Pgraph><Mark1>Results: </Mark1>Patients with pSS demonstrated a higher mean RHR compared to healthy controls (62.6 &#177; 1.84 bpm vs. 56.1 &#177; 3.03 bpm). The minimum RHR in the pSS group was 57 bpm, whereas the healthy controls reached as low as 46 bpm, suggesting that pSS patients may maintain a higher heart rate even at rest. The FACIT-F scores indicated a mean of 33.4 &#177; 7.82 for pSS patients, compared to a higher mean score of 48.7 &#177; 3.59 in controls (lower FACIT-F scores indicate higher fatigue). No significant correlation between fatigue scores and RHR was found (p&#61;0.098).</Pgraph><Pgraph><Mark1>Conclusion: </Mark1>pSS patients demonstrated a significantly higher RHR compared to healthy controls. Continuous, high-quality heart rate data collected via a PPG-based wearable device highlight the potential use of RHR as a non-invasive clinical marker of cardiovascular health in pSS patients. Further recruitment is required to better understand the relationship between fatigue levels and RHR in this population.</Pgraph><Pgraph><Mark1>Abbreviations:</Mark1> pSS: primary Sjoegren Syndrome RHR: Resting heart rate FACIT-F: Functional Assessment of Chronic Illness Therapy &#8211; Fatigue VO2max: maximal oxygen intake PPG: photoplethysmography</Pgraph></TextBlock>
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