<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="/oai2.xsl"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-09-18T23:45:17Z</responseDate>
  <request verb="GetRecord" identifier="oai:rgu-repository.worktribe.com:3463773" metadataPrefix="uketd_dc">rgu-repository.worktribe.com</request>
  <GetRecord>
    <record>
      <header>
        <identifier>oai:rgu-repository.worktribe.com:3463773</identifier>
        <datestamp>2026-08-24T11:59:00Z</datestamp>
        <setSpec>084104101115105115</setSpec>
        <setSpec>openaccess</setSpec>
      </header>
      <metadata>
        <uketd_dc:uketddc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:uketd_dc="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/" xmlns:uketdterms="http://naca.central.cranfield.ac.uk/ethos-oai/terms/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:type>Thesis</dc:type>
          <dc:title>Can CIED-derived physical activity provide as a biomarker to predict all-cause-mortality? Validation of previous predictive modelling approaches.</dc:title>
          <dcterms:abstract>Physical activity (PA) is a well-established determinant of health outcomes yet monitoring deterioration of patients' health using cardiac implantable electronic device (CIED)-derived PA levels lacks external validation when predicting mortality. The primary aim was to investigate the relationship between CIED-derived PA and all-cause mortality. The secondary aim was to replicate and externally validate predictive models incorporating PA to evaluate their performance in predicting mortality. Methods: A retrospective longitudinal analysis was conducting using CIED-derived PA data in 513 cardiac patients to measure the prediction of all-cause-mortality. External validation was conducted by replicating eight previous predictive modelling approaches and measured discrimination and calibration scores across each model. PA was an independent predictor of all-cause mortality with low PA having higher risk of survival probability in univariate and multivariate analysis (p&lt;0.001) when stratified by baseline PA levels. Predictive modelling approaches scored modest discrimination in univariate analysis (C-index = 0.65), good to excellent in multivariate cox regressions (C-index = 0.71 to 0.84) and perfect calibrations scores across all models (calibration slope = 1.00). Overall, baseline CIED-derived PA, stratified at baseline successfully predicts risk of mortality. Additionally, replication and external validation of predictive models incorporating PA demonstrated modest to excellent discrimination.</dcterms:abstract>
          <dc:creator>Cowie, Greig</dc:creator>
          <dcterms:dateAccepted>2026-02-28</dcterms:dateAccepted>
          <uketdterms:advisor>A. Hall and P. Swinton</uketdterms:advisor>
          <dc:identifier>oai:rgu-repository.worktribe.com:3463773</dc:identifier>
          <dc:identifier xsi:type="dcterms:URI">https://rgu-repository.worktribe.com/3463773/1/COWIE%202026%20Can%20CIED-derived%20physical%20activity</dc:identifier>
          <dc:identifier>https://doi.org/10.48526/rgu-wt-3463773</dc:identifier>
          <uketdterms:sponsor>No Funder Acknowledged (Outputs)</uketdterms:sponsor>
          <dc:subject>Physical activity (PA)</dc:subject>
          <dc:subject>Cardiac implantable electronic devices (CIEDs)</dc:subject>
          <dc:subject>All-cause mortality</dc:subject>
          <dc:subject>Predictive modelling</dc:subject>
          <dc:subject>External validation</dc:subject>
          <dc:subject>Cardiovascular disease</dc:subject>
          <dcterms:isReferencedBy>https://rgu-repository.worktribe.com/output/3463773</dcterms:isReferencedBy>
          <dcterms:issued>2026</dcterms:issued>
          <dc:language>en</dc:language>
          <dc:licence>openAccess</dc:licence>
          <dc:licence>https://creativecommons.org/licenses/by-nc/4.0/</dc:licence>
          <dcterms:accessRights>Public</dcterms:accessRights>
        </uketd_dc:uketddc>
      </metadata>
    </record>
  </GetRecord>
</OAI-PMH>
