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http://hdl.handle.net/1942/44446
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DC Field | Value | Language |
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dc.contributor.author | Ntalianis, Evangelos | - |
dc.contributor.author | Cauwenberghs, Nicholas | - |
dc.contributor.author | Sabovcik, Frantisek | - |
dc.contributor.author | Santana, Everton | - |
dc.contributor.author | Haddad, Francois | - |
dc.contributor.author | Claes , Jomme | - |
dc.contributor.author | MICHIELSEN, Matthijs | - |
dc.contributor.author | CLAESSEN, Guido | - |
dc.contributor.author | Budts, Werner | - |
dc.contributor.author | Goetschalckx, Kaatje | - |
dc.contributor.author | Cornelissen, Veronique | - |
dc.contributor.author | Kuznetsova, Tatiana | - |
dc.date.accessioned | 2024-10-09T06:37:02Z | - |
dc.date.available | 2024-10-09T06:37:02Z | - |
dc.date.issued | 2024 | - |
dc.date.submitted | 2024-10-07T13:28:32Z | - |
dc.identifier.citation | iScience, 27 (9) (Art N° 110792) | - |
dc.identifier.uri | http://hdl.handle.net/1942/44446 | - |
dc.description.abstract | Nowadays cardiorespiratory fitness (CRF) is assessed using summary indexes of cardiopulmonary exercise tests (CPETs). Yet, raw time-series CPET recordings may hold additional information with clinical relevance. Therefore, we investigated whether analysis of raw CPET data using dynamic time warping combined with k-medoids could identify distinct CRF phenogroups and improve cardiovascular (CV) risk stratification. CPET recordings from 1,399 participants (mean age, 56.4 years; 37.7% women) were separated into 5 groups with distinct patterns. Cluster 5 was associated with the worst CV profile with higher use of antihypertensive medication and a history of CV disease, while cluster 1 represented the most favorable CV profile. Clusters 4 (hazard ratio: 1.30; p = 0.033) and 5 (hazard ratio: 1.36; p = 0.0088) had a significantly higher risk of incident adverse events compared to clusters 1 and 2. The model evaluation in the external validation cohort revealed similar patterns. Therefore, an integrative CRF profiling might facilitate CV risk stratification and management. | - |
dc.description.sponsorship | The authors would like to acknowledge the guidance provided by Maria Bampa and Panagiotis Papapetrou from the Department of Computer and Systems Sciences, Faculty of Social Sciences, Stockholm University, Sweden. Their expertise in ML applications on time series was invaluable in shaping the direction of this research. This research was supported by grants from the Research Foundation – Flanders (Fonds Wetenschappelijk Onderzoek), Belgium (grants 1225021N, 1S07421N, and G0C5319N), and from the Research Council, KU Leuven (C24M/21/025, DB/22/010/BM). | - |
dc.language.iso | en | - |
dc.publisher | CELL PRESS | - |
dc.rights | 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). | - |
dc.subject.other | Artificial intelligence | - |
dc.subject.other | Cardiovascular medicine | - |
dc.subject.other | Kinesiology | - |
dc.title | Improving cardiovascular risk stratification through multivariate time-series analysis of cardiopulmonary exercise test data | - |
dc.type | Journal Contribution | - |
dc.identifier.issue | 9 | - |
dc.identifier.volume | 27 | - |
local.format.pages | 14 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Kuznetsova, T (corresponding author), Univ Leuven, KU Leuven, Dept Cardiovasc Sci, Res Unit Hypertens & Cardiovasc Epidemiol, Leuven, Belgium. | - |
dc.description.notes | tatiana.kouznetsova@kuleuven.be | - |
local.publisher.place | 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 110792 | - |
dc.identifier.doi | 10.1016/j.isci.2024.110792 | - |
dc.identifier.pmid | 39286486 | - |
dc.identifier.isi | 001312868900001 | - |
dc.contributor.orcid | Goetschalckx, Kaatje/0000-0002-5419-7684; Cauwenberghs, | - |
dc.contributor.orcid | Nicholas/0000-0001-8059-7692 | - |
local.provider.type | wosris | - |
local.description.affiliation | [Ntalianis, Evangelos; Cauwenberghs, Nicholas; Sabovcik, Frantisek; Santana, Everton; Kuznetsova, Tatiana] Univ Leuven, KU Leuven, Dept Cardiovasc Sci, Res Unit Hypertens & Cardiovasc Epidemiol, Leuven, Belgium. | - |
local.description.affiliation | [Santana, Everton; Haddad, Francois] Stanford Univ, Stanford Cardiovasc Inst, Sch Med, Stanford, CA USA. | - |
local.description.affiliation | [Santana, Everton; Haddad, Francois] Stanford Univ, Sch Med, Div Cardiovasc Med, Stanford, CA USA. | - |
local.description.affiliation | [Claes, Jomme; Michielsen, Matthijs; Cornelissen, Veronique] Univ Leuven, KU Leuven, Dept Rehabil Sci, Rehabil Internal Disorders, Leuven, Belgium. | - |
local.description.affiliation | [Claessen, Guido] Virga Jessa Hosp, Dept Cardiol, Hartcentrum, Hasselt, Belgium. | - |
local.description.affiliation | [Claessen, Guido; Budts, Werner; Goetschalckx, Kaatje] Hasselt Univ, Fac Med & Life Sci, Hasselt, Belgium. | - |
local.description.affiliation | [Budts, Werner] Univ Leuven, KU Leuven, Dept Cardiovasc Sci, Cardiol, Leuven, Belgium. | - |
local.uhasselt.international | yes | - |
item.fulltext | With Fulltext | - |
item.contributor | Ntalianis, Evangelos | - |
item.contributor | Cauwenberghs, Nicholas | - |
item.contributor | Sabovcik, Frantisek | - |
item.contributor | Santana, Everton | - |
item.contributor | Haddad, Francois | - |
item.contributor | Claes , Jomme | - |
item.contributor | MICHIELSEN, Matthijs | - |
item.contributor | CLAESSEN, Guido | - |
item.contributor | Budts, Werner | - |
item.contributor | Goetschalckx, Kaatje | - |
item.contributor | Cornelissen, Veronique | - |
item.contributor | Kuznetsova, Tatiana | - |
item.accessRights | Open Access | - |
item.fullcitation | Ntalianis, Evangelos; Cauwenberghs, Nicholas; Sabovcik, Frantisek; Santana, Everton; Haddad, Francois; Claes , Jomme; MICHIELSEN, Matthijs; CLAESSEN, Guido; Budts, Werner; Goetschalckx, Kaatje; Cornelissen, Veronique & Kuznetsova, Tatiana (2024) Improving cardiovascular risk stratification through multivariate time-series analysis of cardiopulmonary exercise test data. In: iScience, 27 (9) (Art N° 110792). | - |
crisitem.journal.eissn | 2589-0042 | - |
Appears in Collections: | Research publications |
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Improving cardiovascular risk stratification through multivariate time-series analysis of cardiopulmonary exercise test data.pdf | Published version | 3.24 MB | Adobe PDF | View/Open |
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