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Title: | Improving cardiovascular risk stratification through multivariate time-series analysis of cardiopulmonary exercise test data | Authors: | Ntalianis, Evangelos Cauwenberghs, Nicholas Sabovcik, Frantisek Santana, Everton Haddad, Francois Claes , Jomme MICHIELSEN, Matthijs CLAESSEN, Guido Budts, Werner Goetschalckx, Kaatje Cornelissen, Veronique Kuznetsova, Tatiana |
Issue Date: | 2024 | Publisher: | CELL PRESS | Source: | iScience, 27 (9) (Art N° 110792) | 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. | Notes: | Kuznetsova, T (corresponding author), Univ Leuven, KU Leuven, Dept Cardiovasc Sci, Res Unit Hypertens & Cardiovasc Epidemiol, Leuven, Belgium. tatiana.kouznetsova@kuleuven.be |
Keywords: | Artificial intelligence;Cardiovascular medicine;Kinesiology | Document URI: | http://hdl.handle.net/1942/44446 | e-ISSN: | 2589-0042 | DOI: | 10.1016/j.isci.2024.110792 | ISI #: | 001312868900001 | 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/). | Category: | A1 | Type: | Journal Contribution |
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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