{"id":{"repo_id":"rgu","oai_identifier":"oai:rgu-repository.worktribe.com:3463773"},"canonical_url":"https://search.dev.ndltd.org/etd/rgu/oai:rgu-repository.worktribe.com:3463773","repository":{"repo_id":"rgu","name":"Robert Gordon University","base_url":"https://rgu-repository.worktribe.com/oaiprovider"},"display":{"title":"Can cied-derived physical activity provide as a biomarker to predict all-cause-mortality? validation of previous predictive modelling approaches.","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<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.","abstract_html":"Physical activity (PA) is a well-established determinant of health outcomes yet monitoring deterioration of patients&#x27; 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.","abstract_has_math":false,"creators":["Cowie, Greig"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["A. Hall and P. Swinton"],"committee_chairs":[],"committee_members":[],"year":2026,"date_issued":"2026","date_published":"2026","updated_at":"2026-07-24T04:10:14Z","subjects":["Physical activity (PA)","Cardiac implantable electronic devices (CIEDs)","All-cause mortality","Predictive modelling","External validation","Cardiovascular disease"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["oai:rgu-repository.worktribe.com:3463773","https://doi.org/10.48526/rgu-wt-3463773"],"render_values":[{"text":"oai:rgu-repository.worktribe.com:3463773","href":null,"code":true},{"text":"https://doi.org/10.48526/rgu-wt-3463773","href":"https://doi.org/10.48526/rgu-wt-3463773","code":true}]}]},"links":{"outbound_url":"https://rgu-repository.worktribe.com/3463773/1/COWIE%202026%20Can%20cied-derived%20physical%20activity","outbound_label":"Repository record","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["A. Hall and P. Swinton"]},{"key":"dc:contributor.sponsor","label":"Sponsor","values":["No Funder Acknowledged (Outputs)"]},{"key":"dc:creator","label":"Author","values":["Cowie, Greig"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2026-02-28"]},{"key":"dc:date.issued","label":"Date","values":["2026"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://rgu-repository.worktribe.com/output/3463773"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Physical activity (PA)","Cardiac implantable electronic devices (CIEDs)","All-cause mortality","Predictive modelling","External validation","Cardiovascular disease"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["oai:rgu-repository.worktribe.com:3463773","https://doi.org/10.48526/rgu-wt-3463773"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://rgu-repository.worktribe.com/3463773/1/COWIE%202026%20Can%20cied-derived%20physical%20activity"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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<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."]},{"key":"dc:title","label":"Title","values":["Can cied-derived physical activity provide as a biomarker to predict all-cause-mortality? validation of previous predictive modelling approaches."]}]}],"canonical_facts":{"dc:contributor.advisor":["A. Hall and P. Swinton"],"dc:contributor.sponsor":["No Funder Acknowledged (Outputs)"],"dc:creator":["Cowie, Greig"],"dc:date":["2026-02-28"],"dc:date.issued":["2026"],"dc:description.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<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."],"dc:identifier":["oai:rgu-repository.worktribe.com:3463773","https://doi.org/10.48526/rgu-wt-3463773"],"dc:identifier.uri":["https://rgu-repository.worktribe.com/3463773/1/COWIE%202026%20Can%20cied-derived%20physical%20activity"],"dc:language":["en"],"dc:relation.isreferencedby":["https://rgu-repository.worktribe.com/output/3463773"],"dc:subject":["Physical activity (PA)","Cardiac implantable electronic devices (CIEDs)","All-cause mortality","Predictive modelling","External validation","Cardiovascular disease"],"dc:title":["Can cied-derived physical activity provide as a biomarker to predict all-cause-mortality? validation of previous predictive modelling approaches."],"dc:type":["Thesis"]},"updated_at":"2026-07-24T04:10:14Z"}